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2020 – today
- 2024
- [j63]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024) - [j62]Xin Shen, Wai Lam, Shumin Ma, Huadong Wang:
Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport. Nat. Lang. Eng. 30(3): 525-553 (2024) - [j61]Yang Deng, Wenxuan Zhang, Weiwen Xu, Ying Shen, Wai Lam:
Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11231-11245 (2024) - [c241]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma:
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. ACL (Findings) 2024: 11437-11452 - [c240]Weiwen Xu, Deng Cai, Zhisong Zhang, Wai Lam, Shuming Shi:
Reasons to Reject? Aligning Language Models with Judgments. ACL (Findings) 2024: 12288-12304 - [c239]Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson:
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. ACL (1) 2024: 14625-14637 - [c238]Haoran Yang, Deng Cai, Huayang Li, Wei Bi, Wai Lam, Shuming Shi:
A Frustratingly Simple Decoding Method for Neural Text Generation. LREC/COLING 2024: 536-557 - [c237]Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam:
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite. LREC/COLING 2024: 3394-3406 - [c236]Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Furu Wei, Wai Lam:
Revamping Multilingual Agreement Bidirectionally via Switched Back-translation for Multilingual Neural Machine Translation. EACL (Findings) 2024: 264-275 - [c235]Hongyuan Lu, Haoran Yang, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei:
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models. EMNLP 2024: 958-976 - [c234]Sen Yang, Leyang Cui, Deng Cai, Xinting Huang, Shuming Shi, Wai Lam:
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning. EMNLP (Findings) 2024: 6549-6561 - [c233]Chufan Shi, Haoran Yang, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam:
A Thorough Examination of Decoding Methods in the Era of LLMs. EMNLP 2024: 8601-8629 - [c232]Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam:
Consecutive Batch Model Editing with HooK Layers. EMNLP 2024: 13817-13833 - [c231]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024 - [c230]Haoran Yang, Hongyuan Lu, Wai Lam:
Rephrasing Invokes Better Generations for Large Language Models. NAACL (Student Research Workshop) 2024: 8-15 - [c229]Haoran Yang, Hongyuan Lu, Wai Lam, Deng Cai:
Exploring Compositional Generalization of Large Language Models. NAACL (Student Research Workshop) 2024: 16-24 - [c228]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. NAACL-HLT 2024: 884-899 - [c227]Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. WWW 2024: 1474-1485 - [i107]Chufan Shi, Haoran Yang, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam:
A Thorough Examination of Decoding Methods in the Era of LLMs. CoRR abs/2402.06925 (2024) - [i106]Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. CoRR abs/2402.07742 (2024) - [i105]Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei:
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR abs/2402.13064 (2024) - [i104]Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang Chen, Wai Lam:
Consecutive Model Editing with Batch alongside HooK Layers. CoRR abs/2403.05330 (2024) - [i103]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma:
Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR abs/2403.07865 (2024) - [i102]Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam:
Unveiling the Generalization Power of Fine-Tuned Large Language Models. CoRR abs/2403.09162 (2024) - [i101]Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Renjun Hu, Zengming Zhang, Feijun Jiang, Wai Lam:
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite. CoRR abs/2403.11873 (2024) - [i100]Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue:
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR abs/2404.05955 (2024) - [i99]Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam:
On the Worst Prompt Performance of Large Language Models. CoRR abs/2406.10248 (2024) - [i98]Sen Yang, Leyang Cui, Deng Cai, Xinting Huang, Shuming Shi, Wai Lam:
Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning. CoRR abs/2406.17312 (2024) - [i97]Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang, Haoran Yang, Yumeng Zhang, Shan Huang, Yiran Wei, Wai Lam:
Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations. CoRR abs/2407.04093 (2024) - [i96]Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam:
A Survey on the Honesty of Large Language Models. CoRR abs/2409.18786 (2024) - [i95]Hongyuan Lu, Wai Lam:
Toxic Subword Pruning for Dialogue Response Generation on Large Language Models. CoRR abs/2410.04155 (2024) - [i94]Hongyuan Lu, Shujie Miao, Wai Lam:
Clean Evaluations on Contaminated Visual Language Models. CoRR abs/2410.07030 (2024) - [i93]Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue:
Harnessing Webpage UIs for Text-Rich Visual Understanding. CoRR abs/2410.13824 (2024) - [i92]Hongyuan Lu, Zixuan Li, Wai Lam:
Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models. CoRR abs/2411.01141 (2024) - 2023
- [j60]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. IEEE Trans. Knowl. Data Eng. 35(11): 11019-11038 (2023) - [j59]Yang Deng, Yaliang Li, Bolin Ding, Wai Lam:
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(11): 11541-11555 (2023) - [j58]Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. ACM Trans. Inf. Syst. 41(3): 77:1-77:25 (2023) - [c226]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. AAAI 2023: 12799-12807 - [c225]Weiwen Xu, Xin Li, Wai Lam, Lidong Bing:
mPMR: A Multilingual Pre-trained Machine Reader at Scale. ACL (2) 2023: 1533-1546 - [c224]Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam:
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations. ACL (1) 2023: 4079-4095 - [c223]Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi:
Enhancing Grammatical Error Correction Systems with Explanations. ACL (1) 2023: 7489-7501 - [c222]Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing:
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. ACL (1) 2023: 8681-8699 - [c221]Chaojun Wang, Yang Liu, Wai Lam:
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. ACL (Findings) 2023: 9425-9439 - [c220]Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing:
Easy-to-Hard Learning for Information Extraction. ACL (Findings) 2023: 11913-11930 - [c219]Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam:
Product Question Answering in E-Commerce: A Survey. ACL (1) 2023: 11951-11964 - [c218]Hongyuan Lu, Wai Lam:
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. EACL 2023: 68-82 - [c217]Haoran Yang, Yan Wang, Piji Li, Wei Bi, Wai Lam, Chen Xu:
Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation. EACL (Findings) 2023: 376-383 - [c216]Shuaiyi Li, Yang Deng, Wai Lam:
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text. EMNLP (Findings) 2023: 6459-6471 - [c215]Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Zhaochuan Gao, Anthony Aue, Arul Menezes, Furu Wei:
TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets. EMNLP (Findings) 2023: 7845-7858 - [c214]Sen Yang, Xin Li, Lidong Bing, Wai Lam:
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. EMNLP 2023: 11879-11895 - [c213]Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. IJCAI 2023: 6583-6591 - [c212]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing:
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. NeurIPS 2023 - [c211]Yang Deng, Shuaiyi Li, Wai Lam:
Learning to Ask Clarification Questions with Spatial Reasoning. SIGIR 2023: 2113-2117 - [c210]Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam:
Multimodal Fashion Knowledge Extraction as Captioning. SIGIR-AP 2023: 52-62 - [c209]Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson:
Functional Distributional Semantics at Scale. *SEM@ACL 2023: 423-436 - [i91]Yang Deng, Wenxuan Zhang, Qian Yu, Wai Lam:
Product Question Answering in E-Commerce: A Survey. CoRR abs/2302.08092 (2023) - [i90]Zihao Fu, Wai Lam, Qian Yu, Anthony Man-Cho So, Shengding Hu, Zhiyuan Liu, Nigel Collier:
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder. CoRR abs/2304.04052 (2023) - [i89]Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. CoRR abs/2305.02750 (2023) - [i88]Hongyuan Lu, Haoyang Huang, Dongdong Zhang, Haoran Yang, Wai Lam, Furu Wei:
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models. CoRR abs/2305.06575 (2023) - [i87]Chaojun Wang, Yang Liu, Wai Lam:
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences. CoRR abs/2305.09154 (2023) - [i86]Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing:
Easy-to-Hard Learning for Information Extraction. CoRR abs/2305.09193 (2023) - [i85]Yang Deng, Wenxuan Zhang, Yifei Yuan, Wai Lam:
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations. CoRR abs/2305.10172 (2023) - [i84]Hanxu Hu, Hongyuan Lu, Huajian Zhang, Wai Lam, Yue Zhang:
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models. CoRR abs/2305.10276 (2023) - [i83]Haoran Yang, Deng Cai, Huayang Li, Wei Bi, Wai Lam, Shuming Shi:
A Frustratingly Simple Decoding Method for Neural Text Generation. CoRR abs/2305.12675 (2023) - [i82]Weiwen Xu, Xin Li, Wai Lam, Lidong Bing:
mPMR: A Multilingual Pre-trained Machine Reader at Scale. CoRR abs/2305.13645 (2023) - [i81]Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan, Shuming Shi:
Enhancing Grammatical Error Correction Systems with Explanations. CoRR abs/2305.15676 (2023) - [i80]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i79]Hongyuan Lu, Wai Lam:
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets. CoRR abs/2309.04725 (2023) - [i78]Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam:
Social Media Fashion Knowledge Extraction as Captioning. CoRR abs/2309.16270 (2023) - [i77]Chang Gao, Wenxuan Zhang, Guizhen Chen, Wai Lam:
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. CoRR abs/2310.02953 (2023) - [i76]Shuaiyi Li, Yang Deng, Wai Lam:
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text. CoRR abs/2310.12557 (2023) - [i75]Sen Yang, Xin Li, Lidong Bing, Wai Lam:
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. CoRR abs/2310.14709 (2023) - [i74]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR abs/2311.00262 (2023) - [i73]Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam:
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving. CoRR abs/2311.08803 (2023) - [i72]Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam:
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. CoRR abs/2311.09802 (2023) - [i71]Weiwen Xu, Deng Cai, Zhisong Zhang, Wai Lam, Shuming Shi:
Reasons to Reject? Aligning Language Models with Judgments. CoRR abs/2312.14591 (2023) - 2022
- [j57]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. 40(1): 2:1-2:33 (2022) - [j56]Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. 40(4): 87:1-87:28 (2022) - [c208]Chang Gao, Wenxuan Zhang, Wai Lam:
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue. ACL (2) 2022: 599-605 - [c207]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
On Controlling Fallback Responses for Grounded Dialogue Generation. ACL (Findings) 2022: 2591-2601 - [c206]Chun Hei Lo, Wai Lam, Hong Cheng:
Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. ACL (1) 2022: 5425-5439 - [c205]Chang Gao, Wai Lam:
Search Clarification Selection via Query-Intent-Clarification Graph Attention. ECIR (1) 2022: 230-243 - [c204]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. EMNLP (Findings) 2022: 2113-2125 - [c203]Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. EMNLP 2022: 2581-2594 - [c202]Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Feijun Jiang, Yuan You, Wai Lam:
McQueen: a Benchmark for Multimodal Conversational Query Rewrite. EMNLP 2022: 4834-4844 - [c201]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. EMNLP 2022: 6456-6472 - [c200]Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. EMNLP 2022: 6970-6984 - [c199]Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng:
Partner Personas Generation for Dialogue Response Generation. NAACL-HLT 2022: 5200-5212 - [c198]Yifei Yuan, Wai Lam:
Sentiment Analysis of Fashion Related Posts in Social Media. WSDM 2022: 1310-1318 - [c197]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. WWW 2022: 2998-3008 - [i70]Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng:
User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. CoRR abs/2202.02912 (2022) - [i69]Weiwen Xu, Bowei Zou, Wai Lam, Ai Ti Aw:
Improving Lexical Embeddings for Robust Question Answering. CoRR abs/2202.13636 (2022) - [i68]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. CoRR abs/2203.01054 (2022) - [i67]Haoran Yang, Piji Li, Wai Lam:
Parameter-Efficient Tuning by Manipulating Hidden States of Pretrained Language Models For Classification Tasks. CoRR abs/2204.04596 (2022) - [i66]Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. CoRR abs/2204.06923 (2022) - [i65]Chang Gao, Wenxuan Zhang, Wai Lam:
UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue. CoRR abs/2204.07770 (2022) - [i64]Hongyuan Lu, Wai Lam:
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. CoRR abs/2208.08110 (2022) - [i63]Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam:
Informative Text Generation from Knowledge Triples. CoRR abs/2209.12733 (2022) - [i62]Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Furu Wei, Wai Lam:
Towards Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation. CoRR abs/2209.13940 (2022) - [i61]Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. CoRR abs/2210.08697 (2022) - [i60]Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. CoRR abs/2210.08817 (2022) - [i59]Weiwen Xu, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. CoRR abs/2210.08855 (2022) - [i58]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. CoRR abs/2210.09773 (2022) - [i57]Chang Gao, Bowen Li, Wenxuan Zhang, Wai Lam, Binhua Li, Fei Huang, Luo Si, Yongbin Li:
Towards Generalizable and Robust Text-to-SQL Parsing. CoRR abs/2210.12674 (2022) - [i56]Yifei Yuan, Chen Shi, Runze Wang, Liyi Chen, Feijun Jiang, Yuan You, Wai Lam:
McQueen: a Benchmark for Multimodal Conversational Query Rewrite. CoRR abs/2210.12775 (2022) - [i55]Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier:
On the Effectiveness of Parameter-Efficient Fine-Tuning. CoRR abs/2211.15583 (2022) - [i54]Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si:
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. CoRR abs/2212.04755 (2022) - [i53]Hongyuan Lu, Haoyang Huang, Shuming Ma, Dongdong Zhang, Wai Lam, Furu Wei:
TRIP: Triangular Document-level Pre-training for Multilingual Language Models. CoRR abs/2212.07752 (2022) - 2021
- [j55]Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam:
Using Latent Fine-Grained Sentiment for Cross-Domain Sentiment Analysis. Int. J. Knowl. Based Organ. 11(3): 29-45 (2021) - [j54]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
CoreGen: Contextualized Code Representation Learning for Commit Message Generation. Neurocomputing 459: 97-107 (2021) - [c196]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. AAAI 2021: 12848-12856 - [c195]Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam:
Towards Generative Aspect-Based Sentiment Analysis. ACL/IJCNLP (2) 2021: 504-510 - [c194]Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam:
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering. ACL/IJCNLP (Findings) 2021: 1044-1056 - [c193]Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu:
Neural Machine Translation with Monolingual Translation Memory. ACL/IJCNLP (1) 2021: 7307-7318 - [c192]Yang Deng, Wenxuan Zhang, Wai Lam:
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation. W-NUT 2021: 175-181 - [c191]Haoran Yang, Wanjing Zhang, Wai Lam:
A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions. ACML 2021: 1461-1476 - [c190]Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam:
Exploiting Reasoning Chains for Multi-hop Science Question Answering. EMNLP (Findings) 2021: 1143-1156 - [c189]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. EMNLP (Findings) 2021: 2778-2789 - [c188]Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam:
Aspect-based Sentiment Analysis in Question Answering Forums. EMNLP (Findings) 2021: 4582-4591 - [c187]Haoran Yang, Wai Lam, Piji Li:
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation. EMNLP (Findings) 2021: 4754-4761 - [c186]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. EMNLP (1) 2021: 9209-9219 - [c185]Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam:
Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. EMNLP (1) 2021: 9220-9230 - [c184]Xin Shen, Wai Lam:
Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning. RANLP 2021: 1318-1325 - [c183]Haoran Yang, Wai Lam:
Sentence Structure and Word Relationship Modeling for Emphasis Selection. RANLP 2021: 1559-1566 - [c182]Yifei Yuan, Wai Lam:
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. SIGIR 2021: 839-848 - [c181]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021: 1431-1441 - [i52]Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng:
Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. CoRR abs/2101.06066 (2021) - [i51]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR abs/2104.05216 (2021) - [i50]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR abs/2105.09710 (2021) - [i49]Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu:
Neural Machine Translation with Monolingual Translation Memory. CoRR abs/2105.11269 (2021) - [i48]Weiwen Xu, Huihui Zhang, Deng Cai, Wai Lam:
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering. CoRR abs/2105.11776 (2021) - [i47]Yifei Yuan, Wai Lam:
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback. CoRR abs/2106.04128 (2021) - [i46]Yang Deng, Wenxuan Zhang, Wai Lam:
Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation. CoRR abs/2106.11096 (2021) - [i45]Haoran Yang, Wai Lam:
Sentence Structure and Word Relationship Modeling for Emphasis Selection. CoRR abs/2108.12750 (2021) - [i44]Haoran Yang, Wai Lam, Piji Li:
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation. CoRR abs/2109.01484 (2021) - [i43]Weiwen Xu, Yang Deng, Huihui Zhang, Deng Cai, Wai Lam:
Exploiting Reasoning Chains for Multi-hop Science Question Answering. CoRR abs/2109.02905 (2021) - [i42]Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam:
Multilingual AMR Parsing with Noisy Knowledge Distillation. CoRR abs/2109.15196 (2021) - [i41]Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam:
Aspect Sentiment Quad Prediction as Paraphrase Generation. CoRR abs/2110.00796 (2021) - [i40]Yifei Yuan, Wai Lam:
Sentiment Analysis of Fashion Related Posts in Social Media. CoRR abs/2111.07815 (2021) - [i39]Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng:
Partner Personas Generation for Diverse Dialogue Generation. CoRR abs/2111.13833 (2021) - [i38]Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. CoRR abs/2112.13556 (2021) - 2020
- [c180]Deng Cai, Wai Lam:
Graph Transformer for Graph-to-Sequence Learning. AAAI 2020: 7464-7471 - [c179]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI 2020: 7651-7658 - [c178]Zihao Fu, Lidong Bing, Wai Lam:
Open Domain Event Text Generation. AAAI 2020: 7748-7755 - [c177]Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam:
Relevance-Promoting Language Model for Short-Text Conversation. AAAI 2020: 8253-8260 - [c176]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. ACL 2020: 280-290 - [c175]Deng Cai, Wai Lam:
AMR Parsing via Graph-Sequence Iterative Inference. ACL 2020: 1290-1301 - [c174]Yang Deng, Wenxuan Zhang, Wai Lam:
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. CIKM 2020: 255-264 - [c173]Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel:
Dynamic Topic Tracker for KB-to-Text Generation. COLING 2020: 2369-2380 - [c172]Yang Deng, Wenxuan Zhang, Wai Lam:
Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection. COLING 2020: 4981-4992 - [c171]Kwun Ping Lai, Wai Lam, Jackie C. S. Ho:
Domain-Aware Recurrent Neural Network for Cross-Domain Sentiment Classification. DSIT 2020: 181-185 - [c170]Wenxuan Zhang, Yang Deng, Jing Ma, Wai Lam:
AnswerFact: Fact Checking in Product Question Answering. EMNLP (1) 2020: 2407-2417 - [c169]Yang Deng, Wenxuan Zhang, Wai Lam:
Multi-hop Inference for Question-driven Summarization. EMNLP (1) 2020: 6734-6744 - [c168]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. EMNLP (1) 2020: 9183-9193 - [c167]Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam:
Cross-Domain Sentiment Classification Using Topic Attention and Dual-Task Adversarial Training. ICANN (2) 2020: 571-583 - [c166]Zihao Fu, Bei Shi, Lidong Bing, Wai Lam:
Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. AACL/IJCNLP 2020: 258-268 - [c165]Yifei Yuan, Jingbo Zhou, Wai Lam:
Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation. AACL/IJCNLP 2020: 542-550 - [c164]Wenxuan Zhang, Qian Yu, Wai Lam:
Answering Product-related Questions with Heterogeneous Information. AACL/IJCNLP 2020: 696-705 - [c163]Wenxuan Zhang, Yang Deng, Wai Lam:
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. SIGIR 2020: 569-578 - [c162]Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR 2020: 1693-1696 - [c161]Xinshi Lin, Wai Lam:
Soft Kernel-based Ranking on a Statistical Manifold. SIGIR 2020: 1777-1780 - [c160]Kwun Ping Lai, Jackie Chun-Sing Ho, Wai Lam:
Ensemble Model for Multi-Source Cross-Domain Sentiment Classification with Little Labeled Data. WI/IAT 2020: 259-266 - [c159]Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. WWW 2020: 2620-2626 - [e2]Fu Lee Wang, Haoran Xie, Wai Lam, Aixin Sun, Lun-Wei Ku, Tianyong Hao, Wei Chen, Tak-Lam Wong, Xiaohui Tao:
Information Retrieval Technology - 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings. Lecture Notes in Computer Science 12004, Springer 2020, ISBN 978-3-030-42834-1 [contents] - [i37]Wenxuan Zhang, Wai Lam, Yang Deng, Jing Ma:
Review-guided Helpful Answer Identification in E-commerce. CoRR abs/2003.06209 (2020) - [i36]Piji Li, Lidong Bing, Zhongyu Wei, Wai Lam:
Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. CoRR abs/2004.03589 (2020) - [i35]Deng Cai, Wai Lam:
AMR Parsing via Graph-Sequence Iterative Inference. CoRR abs/2004.05572 (2020) - [i34]Iyiola E. Olatunji, Xin Li, Wai Lam:
Context-aware Helpfulness Prediction for Online Product Reviews. CoRR abs/2004.13078 (2020) - [i33]Wenxuan Zhang, Yang Deng, Wai Lam:
Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. CoRR abs/2006.15599 (2020) - [i32]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
Contextualized Code Representation Learning for Commit Message Generation. CoRR abs/2007.06934 (2020) - [i31]Yang Deng, Wenxuan Zhang, Wai Lam:
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. CoRR abs/2008.11972 (2020) - [i30]Xin Li, Piji Li, Yan Wang, Xiaojiang Liu, Wai Lam:
Enhancing Dialogue Generation via Multi-Level Contrastive Learning. CoRR abs/2009.09147 (2020) - [i29]Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu:
Partially-Aligned Data-to-Text Generation with Distant Supervision. CoRR abs/2010.01268 (2020) - [i28]Yang Deng, Wenxuan Zhang, Wai Lam:
Multi-hop Inference for Question-driven Summarization. CoRR abs/2010.03738 (2020) - [i27]Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam:
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. CoRR abs/2010.12405 (2020) - [i26]Deng Cai, Yizhe Zhang, Yichen Huang, Wai Lam, Bill Dolan:
Narrative Incoherence Detection. CoRR abs/2012.11157 (2020) - [i25]Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. CoRR abs/2012.14660 (2020)
2010 – 2019
- 2019
- [j53]Bei Shi, Wai Lam:
Reader Comment Digest through Latent Event Facets and News Specificity. IEEE Trans. Knowl. Data Eng. 31(8): 1581-1594 (2019) - [c158]Qian Yu, Wai Lam:
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank. AAAI 2019: 411-418 - [c157]Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert:
Word Embedding as Maximum A Posteriori Estimation. AAAI 2019: 6562-6569 - [c156]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. AAAI 2019: 6714-6721 - [c155]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. W-NUT@EMNLP 2019: 34-41 - [c154]Iyiola E. Olatunji, Xin Li, Wai Lam:
Context-Aware Helpfulness Prediction for Online Product Reviews. AIRS 2019: 56-65 - [c153]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. EMNLP/IJCNLP (1) 2019: 250-260 - [c152]Deng Cai, Wai Lam:
Core Semantic First: A Top-down Approach for AMR Parsing. EMNLP/IJCNLP (1) 2019: 3797-3807 - [c151]Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL-HLT (1) 2019: 1219-1228 - [c150]Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam:
Fact Discovery from Knowledge Base via Facet Decomposition. NAACL-HLT (1) 2019: 2892-2901 - [c149]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation? WWW 2019: 1006-1016 - [i24]Piji Li, Zihao Wang, Lidong Bing, Wai Lam:
Persona-Aware Tips Generation. CoRR abs/1903.02156 (2019) - [i23]Zihao Fu, Yankai Lin, Zhiyuan Liu, Wai Lam:
Fact Discovery from Knowledge Base via Facet Decomposition. CoRR abs/1904.09540 (2019) - [i22]Deng Cai, Wai Lam:
Core Semantic First: A Top-down Approach for AMR Parsing. CoRR abs/1909.04303 (2019) - [i21]Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam:
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. CoRR abs/1909.11359 (2019) - [i20]Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. CoRR abs/1910.00883 (2019) - [i19]Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si:
Review-based Question Generation with Adaptive Instance Transfer and Augmentation. CoRR abs/1911.01556 (2019) - [i18]Deng Cai, Wai Lam:
Graph Transformer for Graph-to-Sequence Learning. CoRR abs/1911.07470 (2019) - [i17]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR abs/1911.09801 (2019) - [i16]Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam:
Relevance-Promoting Language Model for Short-Text Conversation. CoRR abs/1911.11489 (2019) - 2018
- [j52]Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, Haifeng Wang:
Learning a unified embedding space of web search from large-scale query log. Knowl. Based Syst. 150: 38-48 (2018) - [j51]Tak-Lam Wong, Haoran Xie, Wai Lam, Fu Lee Wang:
A learning framework for information block search based on probabilistic graphical models and Fisher Kernel. Int. J. Mach. Learn. Cybern. 9(9): 1473-1487 (2018) - [j50]Yi Liao, Wai Lam, Lidong Bing, Xin Shen:
Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks. ACM Trans. Inf. Syst. 36(3): 29:1-29:31 (2018) - [c148]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. ACL (1) 2018: 946-956 - [c147]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. ACL (1) 2018: 2494-2504 - [c146]Wai Chung Wong, Sunny Lai, Wai Lam, Kwong-Sak Leung:
Guiding Approximate Text Classification Rules via Context Information. AIRS 2018: 133-139 - [c145]Qian Yu, Wai Lam, Zihao Wang:
Responding E-commerce Product Questions via Exploiting QA Collections and Reviews. COLING 2018: 2192-2203 - [c144]Xinshi Lin, Wai Lam:
Entity Retrieval via Type Taxonomy Aware Smoothing. ECIR 2018: 773-779 - [c143]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
QuaSE: Sequence Editing under Quantifiable Guidance. EMNLP 2018: 3855-3864 - [c142]Qian Yu, Wai Lam:
Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning. ICTIR 2018: 75-82 - [c141]Xinshi Lin, Wai Lam, Kwun Ping Lai:
Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content. ICTIR 2018: 211-214 - [c140]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. IJCAI 2018: 4194-4200 - [c139]Xinshi Lin, Wai Lam:
CUIS Team at TREC 2018 CAR Track. TREC 2018 - [c138]Qian Yu, Wai Lam:
Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects. WSDM 2018: 691-699 - [i15]Piji Li, Lidong Bing, Wai Lam:
Actor-Critic based Training Framework for Abstractive Summarization. CoRR abs/1803.11070 (2018) - [i14]Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing. CoRR abs/1804.07007 (2018) - [i13]Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. CoRR abs/1805.00760 (2018) - [i12]Xin Li, Lidong Bing, Wai Lam, Bei Shi:
Transformation Networks for Target-Oriented Sentiment Classification. CoRR abs/1805.01086 (2018) - [i11]Bei Shi, Zihao Fu, Lidong Bing, Wai Lam:
Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. CoRR abs/1805.03801 (2018) - [i10]Deng Cai, Yan Wang, Victoria Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. CoRR abs/1809.05296 (2018) - [i9]Xin Li, Lidong Bing, Piji Li, Wai Lam:
A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. CoRR abs/1811.05082 (2018) - 2017
- [j49]Yinqing Xu, Qian Yu, Wai Lam, Tianyi Lin:
Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering. Knowl. Inf. Syst. 52(1): 221-254 (2017) - [j48]Lidong Bing, Zhiming Zhang, Wai Lam, William W. Cohen:
Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. Knowl. Based Syst. 115: 80-86 (2017) - [j47]Hui Liu, Shuigeng Zhou, Wai Lam, Jihong Guan:
A new hybrid method for learning bayesian networks: Separation and reunion. Knowl. Based Syst. 121: 185-197 (2017) - [c137]Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. AAAI 2017: 3497-3503 - [c136]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. NFiS@EMNLP 2017: 91-99 - [c135]Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li:
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. EMNLP 2017: 2081-2090 - [c134]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. EMNLP 2017: 2091-2100 - [c133]Xin Li, Wai Lam:
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction. EMNLP 2017: 2886-2892 - [c132]Xinshi Lin, Wai Lam, Shubham Sharma:
CUIS Team for NTCIR-13 AKG Task. NTCIR 2017 - [c131]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. SIGIR 2017: 345-354 - [c130]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. SIGIR 2017: 375-384 - [i8]Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai:
Jointly Learning Word Embeddings and Latent Topics. CoRR abs/1706.07276 (2017) - [i7]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. CoRR abs/1708.00154 (2017) - [i6]Piji Li, Wai Lam, Lidong Bing, Zihao Wang:
Deep Recurrent Generative Decoder for Abstractive Text Summarization. CoRR abs/1708.00625 (2017) - [i5]Piji Li, Lidong Bing, Wai Lam:
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. CoRR abs/1708.01065 (2017) - 2016
- [j46]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews. ACM Trans. Internet Techn. 16(2): 12:1-12:17 (2016) - [c129]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Detecting Common Discussion Topics Across Culture From News Reader Comments. ACL (1) 2016 - [c128]Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang:
Learning a Semantic Space of Web Search via Session Data. AIRS 2016: 83-97 - [c127]Tak-Lam Wong, Wai Lam, Haoran Xie, Fu Lee Wang:
A Joint Framework for Collaborative Filtering and Metric Learning. AIRS 2016: 184-196 - [c126]Yi Liao, Xinshi Lin, Wai Lam:
Exploring influence among participants for event recommendation. ASONAM 2016: 417-420 - [c125]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. CIKM 2016: 2293-2298 - [c124]Bei Shi, Wai Lam:
Digesting News Reader Comments via Fine-Grained Associations with Event Facets and News Contents. CIKM 2016: 2299-2304 - [c123]Yi Liao, Xinshi Lin, Wai Lam:
Whether This Participant will Attract You to This Event? Exploiting Participant Influence for Event Recommendation. ICDM 2016: 1035-1040 - [c122]Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie:
Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. ICTIR 2016: 251-260 - [c121]Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie:
Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. ICTIR 2016: 271-280 - [c120]Kwun Ping Lai, Wai Lam, Lidong Bing:
CUIS at the NTCIR-12 MobileClick2 Task. NTCIR 2016 - 2015
- [j45]Shoaib Jameel, Wai Lam, Lidong Bing:
Supervised topic models with word order structure for document classification and retrieval learning. Inf. Retr. J. 18(4): 283-330 (2015) - [j44]Lidong Bing, Shan Jiang, Wai Lam, Yan Zhang, Shoaib Jameel:
Adaptive Concept Resolution for document representation and its applications in text mining. Knowl. Based Syst. 74: 1-13 (2015) - [j43]Lidong Bing, Wai Lam, Tak-Lam Wong, Shoaib Jameel:
Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. ACM Trans. Inf. Syst. 33(2): 6:1-6:38 (2015) - [c119]Chunliang Lu, Wai Lam, Yi Liao:
Entity Retrieval via Entity Factoid Hierarchy. ACL (1) 2015: 514-523 - [c118]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. ACL (1) 2015: 1587-1597 - [c117]Yi Liao, Shoaib Jameel, Wai Lam, Xing Xie:
Abstract Venue Concept Detection from Location-Based Social Networks. AIRS 2015: 147-157 - [c116]Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing:
A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. CIKM 2015: 103-112 - [c115]Shoaib Jameel, Wai Lam, Lidong Bing:
Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. ECIR 2015: 648-659 - [c114]Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu:
Multilingual Viewpoint Detection from news comments. IALP 2015: 189-192 - [c113]Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam:
A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality. IJCAI 2015: 725-732 - [c112]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. IJCAI 2015: 1270-1276 - [c111]Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng:
Topic modeling for conference analytics. INTERSPEECH 2015: 707-711 - [i4]Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao:
Reader-Aware Multi-Document Summarization via Sparse Coding. CoRR abs/1504.07324 (2015) - [i3]Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau:
Abstractive Multi-Document Summarization via Phrase Selection and Merging. CoRR abs/1506.01597 (2015) - 2014
- [j42]Ki Chan, Wai Lam, Tak-Lam Wong:
Knowledge Base Refinement Using Limited Amount of Efforts from Experts. Int. J. Knowl. Based Organ. 4(2): 1-19 (2014) - [c110]Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu:
Website Community Mining from Query Logs with Two-Phase Clustering. CICLing (2) 2014: 201-212 - [c109]Yinqing Xu, Wai Lam, Tianyi Lin:
Collaborative Filtering Incorporating Review Text and Co-clusters of Hidden User Communities and Item Groups. CIKM 2014: 251-260 - [c108]Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So:
Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. CIKM 2014: 879-888 - [c107]Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang:
Web page segmentation with structured prediction and its application in web page classification. SIGIR 2014: 767-776 - 2013
- [j41]Chunliang Lu, Lidong Bing, Wai Lam, Ki Chan, Yuan Gu:
Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data. Int. J. Comput. Linguistics Appl. 4(2): 135-150 (2013) - [j40]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1284-1297 (2013) - [j39]Lidong Bing, Wai Lam, Tak-Lam Wong:
Robust detection of semi-structured web records using a DOM structure-knowledge-driven model. ACM Trans. Web 7(4): 21:1-21:32 (2013) - [c106]Shoaib Jameel, Wai Lam:
A Nonparametric N-Gram Topic Model with Interpretable Latent Topics. AIRS 2013: 74-85 - [c105]Chunliang Lu, Lidong Bing, Wai Lam:
Structured positional entity language model for enterprise entity retrieval. CIKM 2013: 129-138 - [c104]Shoaib Jameel, Wai Lam:
An N-Gram Topic Model for Time-Stamped Documents. ECIR 2013: 292-304 - [c103]Shoaib Jameel, Wai Lam:
An unsupervised topic segmentation model incorporating word order. SIGIR 2013: 203-212 - [c102]Lidong Bing, Wai Lam, Tak-Lam Wong:
Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. WSDM 2013: 567-576 - [i2]Wai Lam, Fahiem Bacchus:
Using New Data to Refine a Bayesian Network. CoRR abs/1302.6826 (2013) - [i1]Wai Lam, Fahiem Bacchus:
Using Causal Information and Local Measures to Learn Bayesian Networks. CoRR abs/1303.1483 (2013) - 2012
- [j38]Xiaofeng Yu, Wai Lam:
Probabilistic joint models incorporating logic and learning via structured variational approximation for information extraction. Knowl. Inf. Syst. 32(2): 415-444 (2012) - [c101]Lidong Bing, Tak-Lam Wong, Wai Lam:
Unsupervised Extraction of Popular Product Attributes from Web Sites. AIRS 2012: 437-446 - [c100]Shoaib Jameel, Xiaojun Qian, Wai Lam:
N-gram Fragment Sequence Based Unsupervised Domain-Specific Document Readability. COLING 2012: 1309-1326 - [c99]Shoaib Jameel, Wai Lam, Xiaojun Qian, Ching-man Au Yeung:
An unsupervised technical difficulty ranking model based on conceptual terrain in the latent space. JCDL 2012: 351-352 - [c98]Shoaib Jameel, Wai Lam, Xiaojun Qian:
Ranking Text Documents Based on Conceptual Difficulty Using Term Embedding and Sequential Discourse Cohesion. Web Intelligence 2012: 145-152 - 2011
- [c97]Lidong Bing, Wai Lam, Tak-Lam Wong:
Using query log and social tagging to refine queries based on latent topics. CIKM 2011: 583-592 - [c96]Lidong Bing, Wai Lam, Yuan Gu:
Towards a unified solution: data record region detection and segmentation. CIKM 2011: 1265-1274 - [c95]Shoaib Jameel, Wai Lam, Ching-man Au Yeung, Sheaujiun Chyan:
An unsupervised ranking method based on a technical difficulty terrain. CIKM 2011: 1989-1992 - [c94]Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam:
Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. KDD 2011: 1244-1252 - [c93]Tak-Lam Wong, Lidong Bing, Wai Lam:
Normalizing web product attributes and discovering domain ontology with minimal effort. WSDM 2011: 805-814 - 2010
- [j37]Tak-Lam Wong, Wai Lam:
Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach. IEEE Trans. Knowl. Data Eng. 22(4): 523-536 (2010) - [c92]Xiaofeng Yu, Wai Lam:
Bidirectional Integration of Pipeline Models. AAAI 2010: 1045-1050 - [c91]Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam:
Learning ontology resolution for document representation and its applications in text mining. CIKM 2010: 1713-1716 - [c90]Xiaofeng Yu, Wai Lam:
Jointly Identifying Entities and Extracting Relations in Encyclopedia Text via A Graphical Model Approach. COLING (Posters) 2010: 1399-1407 - [c89]Xiaofeng Yu, Wai Lam:
Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking. COLING (Posters) 2010: 1408-1416 - [c88]Shing-Kit Chan, Wai Lam:
Pseudo Conditional Random Fields: Joint Training Approach to Segmenting and Labeling Sequence Data. ICDM 2010: 767-772 - [c87]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
Location and Scatter Matching for Dataset Shift in Text Mining. ICDM 2010: 773-778 - [c86]Ki Chan, Tak-Lam Wong, Wai Lam:
Adapting relational logic models using unlabeled data. ICMLC 2010: 167-172 - [c85]Ki Chan, Wai Lam, Tak-Lam Wong:
Discovery of logic relations for text mining adaptation using unlabeled data. RIAO 2010: 128-129 - [e1]Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov:
Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6458, Springer 2010, ISBN 978-3-642-17186-4 [contents]
2000 – 2009
- 2009
- [j36]Ruizhang Huang, Wai Lam:
An active learning framework for semi-supervised document clustering with language modeling. Data Knowl. Eng. 68(1): 49-67 (2009) - [j35]Tak-Lam Wong, Wai Lam:
An unsupervised method for joint information extraction and feature mining across different Web sites. Data Knowl. Eng. 68(1): 107-125 (2009) - [c84]Xiaofeng Yu, Wai Lam, Bo Chen:
An integrated discriminative probabilistic approach to information extraction. CIKM 2009: 325-334 - [c83]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
Extracting discriminative concepts for domain adaptation in text mining. KDD 2009: 179-188 - [c82]Shing-Kit Chan, Wai Lam:
An Efficient Method for Generating, Storing and Matching Features for Text Mining. PAKDD 2009: 86-97 - [c81]Tak-Lam Wong, Kai-On Chow, Wai Lam:
Cross Language Information Extraction Knowledge Adaptation. RSKT 2009: 520-528 - [c80]Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong:
A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. SDM 2009: 341-352 - [c79]Tak-Lam Wong, Wai Lam, Bo Chen:
Mining employment market via text block detection and adaptive cross-domain information extraction. SIGIR 2009: 283-290 - 2008
- [j34]Tak-Lam Wong, Wai Lam:
Learning to extract and summarize hot item features from multiple auction web sites. Knowl. Inf. Syst. 14(2): 143-160 (2008) - [c78]Xiaofeng Yu, Wai Lam:
Hidden Dynamic Probabilistic Models for Labeling Sequence Data. AAAI 2008: 739-745 - [c77]Tak-Lam Wong, Tik-Shun Wong, Wai Lam:
An Unsupervised Approach for Product Record Normalization across Different Web Sites. AAAI 2008: 1249-1254 - [c76]Ki Chan, Wai Lam:
Pronoun Resolution with Markov Logic Networks. AIRS 2008: 153-164 - [c75]Ki Chan, Wai Lam, Xiaofeng Yu:
Coreference resolution using expressive logic models. CIKM 2008: 1373-1374 - [c74]Xiaofeng Yu, Wai Lam:
An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features. COLING 2008: 1065-1072 - [c73]Xiaofeng Yu, Wai Lam, Shing-Kit Chan, Yiu Kei Wu, Bo Chen:
Chinese NER Using CRFs and Logic for the Fourth SIGHAN Bakeoff. IJCNLP 2008: 102-105 - [c72]Xiaofeng Yu, Wai Lam, Shing-Kit Chan:
A Framework Based on Graphical Models with Logic for Chinese Named Entity Recognition. IJCNLP 2008: 335-342 - [c71]Shing-Kit Chan, Wai Lam, Xiaofeng Yu:
An Online Cascaded Approach to Biomedical Named Entity Recognition. IJCNLP 2008: 595-600 - [c70]Tak-Lam Wong, Wai Lam, Tik-Shun Wong:
An unsupervised framework for extracting and normalizing product attributes from multiple web sites. SIGIR 2008: 35-42 - [c69]Yuhui Tao, Shuigeng Zhou, Wai Lam, Jihong Guan:
Towards More Effective Text Summarization Based on Textual Association Networks. SKG 2008: 235-240 - 2007
- [j33]Yiqiu Han, Wai Lam:
Utilizing hierarchical feature domain values for prediction. Data Knowl. Eng. 61(3): 540-553 (2007) - [j32]Robert W. P. Luk, Wai Lam:
Efficient in-memory extensible inverted file. Inf. Syst. 32(5): 733-754 (2007) - [j31]Yiqiu Han, Wai Lam, Charles X. Ling:
Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007) - [j30]Wai Lam, Christopher C. Yang, Filippo Menczer:
Introduction to the special topic section on mining Web resources for enhancing information retrieval. J. Assoc. Inf. Sci. Technol. 58(12): 1791-1792 (2007) - [j29]Wai Lam, Shing-Kit Chan, Ruizhang Huang:
Named entity translation matching and learning: With application for mining unseen translations. ACM Trans. Inf. Syst. 25(1): 2 (2007) - [j28]Tak-Lam Wong, Wai Lam:
Adapting Web information extraction knowledge via mining site-invariant and site-dependent features. ACM Trans. Internet Techn. 7(1): 6 (2007) - [c68]Ka Kan Lo, Wai Lam:
Building Knowledge Base for Reading from Encyclopedia. AAAI Spring Symposium: Machine Reading 2007: 73-78 - [c67]Shing-Kit Chan, Wai Lam:
Efficient Methods for Biomedical Named Entity Recognition. BIBE 2007: 729-735 - [c66]Shing-Kit Chan, Wai Lam, Xiaofeng Yu:
A Cascaded Approach to Biomedical Named Entity Recognition Using a Unified Model. ICDM 2007: 93-102 - [c65]Ruizhang Huang, Wai Lam:
Semi-supervised Document Clustering via Active Learning with Pairwise Constraints. ICDM 2007: 517-522 - [c64]Ruizhang Huang, Wai Lam, Zhigang Zhang:
Active Learning of Constraints for Semi-supervised Text Clustering. SDM 2007: 113-124 - 2006
- [j27]Kei Shiu Ho, Hong Va Leong, Wai Lam, Robert Wing Pong Luk:
Integrating XML and CORBA to support collaborative writing using off-the-shelf editing software. Inf. Syst. 31(6): 465-488 (2006) - [j26]Christopher C. Yang, Wai Lam:
Introduction to the special topic section on multilingual information systems. J. Assoc. Inf. Sci. Technol. 57(5): 629-631 (2006) - [j25]Yiqiu Han, Wai Lam, Charles X. Ling:
Customized Generalization of Support Patterns for Classification. IEEE Trans. Syst. Man Cybern. Part B 36(6): 1306-1318 (2006) - [c63]Ruizhang Huang, Zhigang Zhang, Wai Lam:
Text Clustering with Limited User Feedback Under Local Metric Learning. AIRS 2006: 132-144 - [c62]Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Extracting and Summarizing Hot Item Features Across Different Auction Web Sites. PAKDD 2006: 334-345 - [c61]Tak-Lam Wong, Wai Lam, Shing-Kit Chan:
Collaborative Information Extraction and Mining from Multiple Web Documents. SDM 2006: 442-452 - [c60]Ruizhang Huang, Zhigang Zhang, Wai Lam:
Refining hierarchical taxonomy structure via semi-supervised learning. SIGIR 2006: 653-654 - [c59]Ka Kan Lo, Wai Lam:
Using Semantic Relations with World Knowledge for Question Answering. TREC 2006 - 2005
- [j24]Ki Chan, Wai Lam:
Extracting causation knowledge from natural language texts. Int. J. Intell. Syst. 20(3): 327-358 (2005) - [j23]Wai Lam, Ki Chan, Dragomir R. Radev, Horacio Saggion, Simone Teufel:
Context-based generic cross-lingual retrieval of documents and automated summaries. J. Assoc. Inf. Sci. Technol. 56(2): 129-139 (2005) - [j22]Tak-Lam Wong, Wai Lam, Enhong Chen:
Automatic Domain Ontology Generation from Web sites. Trans. SDPS 9(3): 29-38 (2005) - [c58]Ki Chan, Wai Lam:
Gene Ontology Classification of Biomedical Literatures Using Context Association. AIRS 2005: 552-557 - [c57]Hon-Man Ko, Wai Lam:
A New Approach for Semi-supervised Online News Classification. Human.Society@Internet 2005: 238-247 - [c56]Ki Chan, Wai Lam:
Discovering Patterns from Ontology-Derived Texts. ICADL 2005: 395-399 - [c55]Tak-Lam Wong, Wai Lam:
Hot Item Mining and Summarization from Multiple Auction Web Sites. ICDM 2005: 797-800 - [c54]Yiqiu Han, Wai Lam:
Exploring Query Matrix for Support Pattern Based Classification Learning. ICMLC 2005: 209-218 - [c53]Tak-Lam Wong, Wai Lam:
Training Conditional Random Fields with Unlabeled Data and Limited Number of Labeled Examples. ICMLC 2005: 477-486 - [c52]Yiqiu Han, Wai Lam:
Lazy Learning for Classification Based on Query Projections. SDM 2005: 227-238 - [c51]Tak-Lam Wong, Wai Lam:
Learning to Refine Ontology for a New Web Site Using a Bayesian Approach. SDM 2005: 298-309 - [c50]Wai Lam, Yiqiu Han, Ki Chan:
Pattern Based Customized Learning for TREC Genomics Track Categorization Task. TREC 2005 - 2004
- [c49]Wei Gao, Kam-Fai Wong, Wai Lam:
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features. AIRS 2004: 106-117 - [c48]Yiqiu Han, Wai Lam:
Interpretable Query Projection Learning. CIS 2004: 969-974 - [c47]Shanfeng Zhu, Christopher C. Yang, Wai Lam:
CatRelate: A New Hierarchical Document Category Integration Algorithm by Learning Category Relationships. ICADL 2004: 280-289 - [c46]Tak-Lam Wong, Wai Lam:
A Probabilistic Approach for Adapting Information Extraction Wrappers and Discovering New Attributes. ICDM 2004: 257-264 - [c45]Yiqiu Han, Wai Lam:
Query-Driven Support Pattern Discovery for Classification Learning. ICDM 2004: 399-402 - [c44]Wei Gao, Kam-Fai Wong, Wai Lam:
Phoneme-Based Transliteration of Foreign Names for OOV Problem. IJCNLP 2004: 110-119 - [c43]Pik-Shan Cheung, Ruizhang Huang, Wai Lam:
Financial Activity Mining from Online Multilingual News. ITCC (1) 2004: 267-271 - [c42]Wai Lam, Pik-Shan Cheung, Ruizhang Huang:
Mining events and new name translations from online daily news. JCDL 2004: 287-295 - [c41]Dragomir R. Radev, Timothy Allison, Sasha Blair-Goldensohn, John Blitzer, Arda Çelebi, Stanko Dimitrov, Elliott Drábek, Ali Hakim, Wai Lam, Danyu Liu, Jahna Otterbacher, Hong Qi, Horacio Saggion, Simone Teufel, Michael Topper, Adam Winkel, Zhu Zhang:
MEAD - A Platform for Multidocument Multilingual Text Summarization. LREC 2004 - [c40]Wai Lam, Tak-Lam Wong:
Text Mining from Site Invariant and Dependent Features for Information Extraction Knowledge Adaptation. SDM 2004: 45-56 - [c39]Yiqiu Han, Wai Lam:
Lazy Learning by Scanning Memory Image Lattice. SDM 2004: 447-451 - [c38]Yiqiu Han, Wai Lam:
Exploiting Hierarchical Domain Values in Classification Learning. SDM 2004: 467-471 - [c37]Wai Lam, Ruizhang Huang, Pik-Shan Cheung:
Learning phonetic similarity for matching named entity translations and mining new translations. SIGIR 2004: 289-296 - 2003
- [j21]Wai Lam, Kwok Leung Yu:
High-Dimensional Learning Framework for Adaptive Document Filtering. Comput. Intell. 19(1): 42-63 (2003) - [j20]Wai Lam, Wei Wang, Che-Wang Yue:
Web Discovery and Filtering Based on Textual Relevance Feedback Learning. Comput. Intell. 19(2): 136-163 (2003) - [j19]Hong Meng Ho, Wai Lam, Serguei Stoukatch, Petar Ratchev, Charles J. Vath, Eric Beyne:
Direct gold and copper wires bonding on copper. Microelectron. Reliab. 43(6): 913-923 (2003) - [j18]Wai Lam, Yiqiu Han:
Automatic Textual Document Categorization Based on Generalized Instance Sets and a Metamodel. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 628-633 (2003) - [c36]Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Hong Qi, Arda Çelebi, Danyu Liu, Elliott Drábek:
Evaluation Challenges in Large-Scale Document Summarization. ACL 2003: 375-382 - [c35]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam:
Stock prediction: Integrating text mining approach using real-time news. CIFEr 2003: 395-402 - [c34]Pik-Shan Cheung, Ruizhang Huang, Wai Lam:
Digesting Bilingual Web News via Mining Financial Activities and Events. ICADL 2003: 687 - [c33]Yiqiu Han, Wai Lam:
Exploiting Heterogeneous Features for Classification Learning. IDEAL 2003: 177-184 - [c32]Tak-Lam Wong, Wai Lam, Wei Wang:
Beyond Supervised Learning of Wrappers for Extracting Information from Unseen Web Sites. IDEAL 2003: 725-733 - [c31]Yin-Yee Law, Ruizhang Huang, Wai Lam:
Discovering Bilingual Name Association and Translation From Online News of Different Sources. IKE 2003: 109-115 - [c30]Ruizhang Huang, Wai Lam:
Supporting Story Link Detection Using Automatic Topic Type Categorization. IKE 2003: 160-166 - [c29]Aixin Sun, Myo-Myo Naing, Ee-Peng Lim, Wai Lam:
Using Support Vector Machines for Terrorism Information Extraction. ISI 2003: 1-12 - [c28]Yiqiu Han, Wai Lam:
Exploiting Hierarchical Domain Values for Bayesian Learning. PAKDD 2003: 253-264 - 2002
- [j17]Wai Lam, Chi-Kin Keung, Danyu Liu:
Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1075-1090 (2002) - [j16]Wai Lam, Chi-Kin Keung, Charles X. Ling:
Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognit. 35(7): 1491-1506 (2002) - [j15]Wai Lam, Alberto Maria Segre:
A Distributed Learning Algorithm for Bayesian Inference Networks. IEEE Trans. Knowl. Data Eng. 14(1): 93-105 (2002) - [j14]Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang, Kebin Xu:
Learning nonlinear multiregression networks based on evolutionary computation. IEEE Trans. Syst. Man Cybern. Part B 32(5): 630-644 (2002) - [c27]Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam:
Meta-evaluation of Summaries in a Cross-lingual Environment using Content-based Metrics. COLING 2002 - [c26]Tak-Lam Wong, Wai Lam:
Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002: 506-513 - [c25]Horacio Saggion, Dragomir R. Radev, Simone Teufel, Wai Lam, Stephanie M. Strassel:
Developing Infrastructure for the Evaluation of Single and Multi-document Summarization Systems in a Cross-lingual Environment. LREC 2002 - [c24]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam:
News Sensitive Stock Trend Prediction. PAKDD 2002: 481-493 - [c23]Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam:
Extracting Causation Knowledge from Natural Language Texts. PAKDD 2002: 555-560 - 2001
- [j13]Hong Va Leong, Kei Shiu Ho, Wai Lam:
Web-based Workflow Framework with CORBA. Concurr. Eng. Res. Appl. 9(2): 120-130 (2001) - [j12]Wai Lam, Javed Mostafa:
Modeling user interest shift using a bayesian approach. J. Assoc. Inf. Sci. Technol. 52(5): 416-429 (2001) - [j11]Wai Lam, Kam-Fai Wong, Chi-Yin Wong:
Chinese document indexing based on a new partitioned signature file: Model and evaluation. J. Assoc. Inf. Sci. Technol. 52(7): 584-597 (2001) - [j10]Wai Lam, Kei Shiu Ho:
FIDS: an intelligent financial Web news articles digest system. IEEE Trans. Syst. Man Cybern. Part A 31(6): 753-762 (2001) - [c22]Kei Shiu Ho, Hong Va Leong, Wai Lam:
A Collaborative Word Processing Systems using a CORBA-Based Workflow Framework. DOA 2001: 176- - [c21]Pui-Yu Hui, Xiaoou Tang, Helen M. Meng, Wai Lam, Xinbo Gao:
Automatic Story Segmentation for Spoken Document Retrieval. FUZZ-IEEE 2001: 1319-1322 - [c20]Kin Hui, Wai Lam, Helen M. Meng:
Automatic event generation from multi-lingual news stories. JCDL 2001: 23-24 - [c19]Kwok-Yin Lai, Wai Lam:
Meta-learning Models for Automatic Textual Document Categorization. PAKDD 2001: 78-89 - [c18]Kwok-Yin Lai, Wai Lam:
Automatic Textual Document Categorization Using Multiple Similarity-Based Models. SDM 2001: 1-16 - [c17]Wai Lam, Kwok-Yin Lai:
A Meta-Learning Approach for Text Categorization. SIGIR 2001: 303-309 - 2000
- [j9]Javed Mostafa, Wai Lam:
Automatic classification using supervised learning in a medical document filtering application. Inf. Process. Manag. 36(3): 415-444 (2000) - [j8]Wai Lam, Kon Fan Low:
Using discretization and Bayesian inference network learning for automatic filtering profile generation. IEEE Trans. Syst. Man Cybern. Part C 30(3): 340-351 (2000) - [c16]Wai Lam, Wai-Yip Lin:
Learning to Extract Hierarchical Information from Semi-structured Documents. CIKM 2000: 250-257 - [c15]Chi-Kin Keung, Wai Lam:
Prototype Generation Based on Instance Filtering and Averaging. PAKDD 2000: 142-152
1990 – 1999
- 1999
- [j7]Po Shun Ngan, Man Leung Wong, Wai Lam, Kwong-Sak Leung, Jack Chun Yiu Cheng:
Medical data mining using evolutionary computation. Artif. Intell. Medicine 16(1): 73-96 (1999) - [j6]Wai Lam:
Intelligent content-based document delivery via automatic filtering profile generation. Int. J. Intell. Syst. 14(10): 963-979 (1999) - [j5]Man Leung Wong, Wai Lam, Kwong-Sak Leung:
Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 21(2): 174-178 (1999) - [j4]Wai Lam, Miguel E. Ruiz, Padmini Srinivasan:
Automatic Text Categorization and Its Application to Text Retrieval. IEEE Trans. Knowl. Data Eng. 11(6): 865-879 (1999) - [c14]King-Kwok Ng, Wai Lam:
Updating of Association Rules Dynamically. DANTE 1999: 84- - [c13]Helen M. Meng, Wai Lam, Carmen Wai:
To believe is to understand. EUROSPEECH 1999: 2015-2018 - [c12]Wai Lam, Kwok Leung Yu:
An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract). SIGIR 1999: 287-288 - 1998
- [j3]Wai Lam:
Bayesian Network Refinement Via Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 20(3): 240-251 (1998) - [c11]Kwok Leung Yu, Wai Lam:
A New On-Line Learning Algorithm for Adaptive Text Filtering. CIKM 1998: 156-160 - [c10]Wai Lam, Kon Fan Low:
Constructing Text Filters Based on Bayesian Network Learning. ECAI 1998: 585-589 - [c9]Wai Lam, Chao Yang Ho:
Using a Generalized Instance Set for Automatic Text Categorization. SIGIR 1998: 81-89 - [c8]Kwong-Sak Leung, Man Leung Wong, Wai Lam, Zhenyuan Wang:
Discovering nonlinear-integral networks from databases using evolutionary computation and minimum description length principle. SMC 1998: 2354-2359 - 1997
- [j2]Javed Mostafa, Snehasis Mukhopadhyay, Wai Lam, Mathew J. Palakal:
A Multilevel Approach to Intelligent Information Filtering: Model, System, and Evaluation. ACM Trans. Inf. Syst. 15(4): 368-399 (1997) - [c7]Wai Lam, Alberto Maria Segre:
Distributed Data Mining of Probabilistic Knowledge. ICDCS 1997: 178-185 - [c6]Wai Lam, Kon Fan Low, Chao Yang Ho:
Using a Bayesian Network Induction Approach for Text Categorization. IJCAI (1) 1997: 745-750 - 1996
- [c5]Wai Lam, Snehasis Mukhopadhyay:
A Two-Level Approach to Learning in Nonstationary Environments. AI 1996: 271-283 - [c4]Wai Lam, Snehasis Mukhopadhyay, Javed Mostafa, Mathew J. Palakal:
Detection of Shifts in User Interests for Personalized Information Filtering. SIGIR 1996: 317-325 - 1994
- [j1]Wai Lam, Fahiem Bacchus:
Learning Bayesian Belief Networks: An Approach Based on the MDL Principle. Comput. Intell. 10: 269-294 (1994) - [c3]Wai Lam:
Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions. AAAI 1994: 257-262 - [c2]Wai Lam, Fahiem Bacchus:
Using New Data to Refine a Bayesian Network. UAI 1994: 383-390 - 1993
- [c1]Wai Lam, Fahiem Bacchus:
Using Causal Information and Local Measures to Learn Bayesian Networks. UAI 1993: 243-250
Coauthor Index
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