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Zhaochun Ren
Person information
- affiliation: Leiden University, The Netherlands
- affiliation (former): Shandong University, Qingdao, China
- affiliation (former): JD.com, Beijing, China
- affiliation (former): University of Amsterdam, The Netherlands
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2020 – today
- 2024
- [j29]Zhongkun Liu, Zhumin Chen, Zhaochun Ren, Shen Gao, Jun Ma, Pengjie Ren:
Center-retained fine-tuning for conversational question ranking through unsupervised center identification. Inf. Process. Manag. 61(2): 103578 (2024) - [j28]Zhou Yang, Zhaochun Ren, Yufeng Wang, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao:
Situation-aware empathetic response generation. Inf. Process. Manag. 61(6): 103824 (2024) - [j27]Jinhuan Liu, Lei Hou, Xu Yu, Xuemeng Song, Zhaochun Ren:
Unifying heterogeneous and homogeneous relations for personalized compatibility modeling. Knowl. Based Syst. 290: 111560 (2024) - [j26]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren, Mohammad Aliannejadi, Negar Arabzadeh, Raman Chandrasekar, Maarten de Rijke, Panagiotis Eustratiadis, William R. Hersh, Jin Huang, Evangelos Kanoulas, Jasmin Kareem, Yongkang Li, Simon Lupart, Kidist Amde Mekonnen, Adam Roegiest, Ian Soboroff, Fabrizio Silvestri, Suzan Verberne, David Vos, Eugene Yang, Yuyue Zhao:
Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum 58(1): 1-41 (2024) - [j25]Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. ACM Trans. Inf. Syst. 42(1): 17:1-17:29 (2024) - [j24]Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, James Ko:
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing. ACM Trans. Inf. Syst. 42(3): 78:1-78:24 (2024) - [j23]Chaoyu Shi, Pengjie Ren, Dongjie Fu, Xin Xin, Shansong Yang, Fei Cai, Zhaochun Ren, Zhumin Chen:
Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. ACM Trans. Inf. Syst. 42(5): 132:1-132:37 (2024) - [c128]Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. AAAI 2024: 18030-18038 - [c127]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. ACL (1) 2024: 2375-2388 - [c126]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Self-Supervised Position Debiasing for Large Language Models. ACL (Findings) 2024: 2897-2917 - [c125]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. ACL (1) 2024: 3052-3064 - [c124]Zhou Yang, Zhaochun Ren, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao:
An Iterative Associative Memory Model for Empathetic Response Generation. ACL (1) 2024: 3081-3092 - [c123]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. ACL (1) 2024: 7339-7353 - [c122]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. ACL (Findings) 2024: 14623-14635 - [c121]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Content-Based Collaborative Generation for Recommender Systems. CIKM 2024: 2420-2430 - [c120]Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu:
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. LREC/COLING 2024: 8235-8246 - [c119]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. LREC/COLING 2024: 8931-8941 - [c118]Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. ECIR (5) 2024: 363-368 - [c117]Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren:
The Search Futures Workshop. ECIR (5) 2024: 422-425 - [c116]Arian Askari, Zihui Yang, Zhaochun Ren, Suzan Verberne:
Answer Retrieval in Legal Community Question Answering. ECIR (3) 2024: 477-485 - [c115]Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. EMNLP (Findings) 2024: 10642-10657 - [c114]Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP 2024: 14044-14067 - [c113]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. EMNLP 2024: 14535-14556 - [c112]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. NAACL-HLT 2024: 7051-7063 - [c111]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. RecSys 2024: 84-93 - [c110]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. SIGIR 2024: 1828-1838 - [c109]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR 2024: 1883-1892 - [c108]Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. SIGIR 2024: 3005-3008 - [c107]Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin:
R3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. SIGIR-AP 2024: 307-310 - [c106]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. WSDM 2024: 855-863 - [c105]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM 2024: 882-890 - [c104]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. WWW 2024: 3444-3453 - [i95]Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Zero-Shot Position Debiasing for Large Language Models. CoRR abs/2401.01218 (2024) - [i94]Arian Askari, Zihui Yang, Zhaochun Ren, Suzan Verberne:
Answer Retrieval in Legal Community Question Answering. CoRR abs/2401.04852 (2024) - [i93]Jiabao Fang, Shen Gao, Pengjie Ren, Xiuying Chen, Suzan Verberne, Zhaochun Ren:
A Multi-Agent Conversational Recommender System. CoRR abs/2402.01135 (2024) - [i92]Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024) - [i91]Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR abs/2402.11176 (2024) - [i90]Zhou Yang, Zhaochun Ren, Yufeng Wang, Shizhong Peng, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao:
Enhancing Empathetic Response Generation by Augmenting LLMs with Small-scale Empathetic Models. CoRR abs/2402.11801 (2024) - [i89]Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CoRR abs/2402.14033 (2024) - [i88]Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu:
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. CoRR abs/2402.16061 (2024) - [i87]Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei:
Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. CoRR abs/2402.17263 (2024) - [i86]Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Tiecheng Cai, Yunbing Wu, Yisong Su, Sibo Ju, Xiangwen Liao:
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation. CoRR abs/2402.17437 (2024) - [i85]Zhou Yang, Zhaochun Ren, Yufeng Wang, Chao Chen, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao:
An Iterative Associative Memory Model for Empathetic Response Generation. CoRR abs/2402.17959 (2024) - [i84]Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Pengjie Ren, Suzan Verberne, Zhaochun Ren:
Learning to Use Tools via Cooperative and Interactive Agents. CoRR abs/2403.03031 (2024) - [i83]Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. CoRR abs/2403.03424 (2024) - [i82]Biwei Yan, Kun Li, Minghui Xu, Yueyan Dong, Yue Zhang, Zhaochun Ren, Xiuzhen Cheng:
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey. CoRR abs/2403.05156 (2024) - [i81]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. CoRR abs/2403.14221 (2024) - [i80]Jiyuan Yang, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, Zhaochun Ren, Mengqi Zhang, Xin Xin, Zhumin Chen, Pengjie Ren:
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. CoRR abs/2403.16371 (2024) - [i79]Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin:
Enhanced Generative Recommendation via Content and Collaboration Integration. CoRR abs/2403.18480 (2024) - [i78]Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne:
CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. CoRR abs/2403.19056 (2024) - [i77]Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren:
Generative Retrieval as Multi-Vector Dense Retrieval. CoRR abs/2404.00684 (2024) - [i76]Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin:
Offline Trajectory Generalization for Offline Reinforcement Learning. CoRR abs/2404.10393 (2024) - [i75]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. CoRR abs/2404.12969 (2024) - [i74]Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren:
ExcluIR: Exclusionary Neural Information Retrieval. CoRR abs/2404.17288 (2024) - [i73]Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Zhumin Chen, Suzan Verberne, Zhaochun Ren:
Chain of Tools: Large Language Model is an Automatic Multi-tool Learner. CoRR abs/2405.16533 (2024) - [i72]Zhou Yang, Zhaochun Ren, Chenglong Ye, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Yunbing Wu, Xiangwen Liao:
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory. CoRR abs/2406.02642 (2024) - [i71]Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. CoRR abs/2406.04984 (2024) - [i70]Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. CoRR abs/2406.14891 (2024) - [i69]Arian Askari, Chuan Meng, Mohammad Aliannejadi, Zhaochun Ren, Evangelos Kanoulas, Suzan Verberne:
Generative Retrieval with Few-shot Indexing. CoRR abs/2408.02152 (2024) - [i68]Jie Wu, Zhaochun Ren, Suzan Verberne:
What are the limits of cross-lingual dense passage retrieval for low-resource languages? CoRR abs/2408.11942 (2024) - [i67]Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren:
Towards Empathetic Conversational Recommender Systems. CoRR abs/2409.10527 (2024) - [i66]Yougang Lyu, Xiaoyu Zhang, Zhaochun Ren, Maarten de Rijke:
Cognitive Biases in Large Language Models for News Recommendation. CoRR abs/2410.02897 (2024) - [i65]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in e-Commerce. CoRR abs/2410.05763 (2024) - [i64]Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. CoRR abs/2410.07672 (2024) - [i63]Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren:
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. CoRR abs/2410.10127 (2024) - [i62]Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin:
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation. CoRR abs/2410.20598 (2024) - 2023
- [j22]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j21]Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. IEEE Trans. Knowl. Data Eng. 35(4): 4106-4123 (2023) - [j20]Jie Zou, Jimmy Xiangji Huang, Zhaochun Ren, Evangelos Kanoulas:
Learning to Ask: Conversational Product Search via Representation Learning. ACM Trans. Inf. Syst. 41(2): 45:1-45:27 (2023) - [j19]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. ACM Trans. Inf. Syst. 41(3): 57:1-57:25 (2023) - [j18]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Trans. Inf. Syst. 41(3): 71:1-71:24 (2023) - [c103]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. AAAI 2023: 13353-13361 - [c102]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. AAAI 2023: 13618-13626 - [c101]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. ACL (Findings) 2023: 3837-3849 - [c100]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. ACL (1) 2023: 7669-7683 - [c99]Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren:
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. ACL (1) 2023: 12856-12875 - [c98]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CIKM 2023: 2534-2543 - [c97]Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, Zhe Liu:
Privacy-Preserving Federated Learning via Disentanglement. CIKM 2023: 3606-3615 - [c96]Weiwei Sun, Pengjie Ren, Zhaochun Ren:
Generative Knowledge Selection for Knowledge-Grounded Dialogues. EACL (Findings) 2023: 2032-2043 - [c95]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. EMNLP (Findings) 2023: 2198-2209 - [c94]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. EMNLP (Findings) 2023: 2228-2240 - [c93]Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Tiecheng Cai, Yunbing Wu, Yisong Su, Sibo Ju, Xiangwen Liao:
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation. EMNLP (Findings) 2023: 4826-4837 - [c92]Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Towards a Unified Framework for Reference Retrieval and Related Work Generation. EMNLP (Findings) 2023: 5785-5799 - [c91]Xuanfan Ni, Hongliang Dai, Zhaochun Ren, Piji Li:
Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation. EMNLP 2023: 12522-12537 - [c90]Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Syllogistic Reasoning for Legal Judgment Analysis. EMNLP 2023: 13997-14009 - [c89]Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP 2023: 14918-14937 - [c88]Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. EMNLP (Findings) 2023: 15128-15145 - [c87]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. NeurIPS 2023 - [c86]Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. SIGIR 2023: 922-931 - [c85]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. SIGIR 2023: 932-941 - [c84]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. SIGIR 2023: 2786-2795 - [c83]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. WSDM 2023: 231-239 - [c82]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. WWW 2023: 1283-1293 - [c81]Congchi Yin, Piji Li, Zhaochun Ren:
CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. WWW 2023: 1539-1550 - [i61]Yujie Lin, Zhumin Chen, Zhaochun Ren, Chenyang Wang, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
Modeling Sequential Recommendation as Missing Information Imputation. CoRR abs/2301.01762 (2023) - [i60]Congchi Yin, Piji Li, Zhaochun Ren:
CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. CoRR abs/2303.01094 (2023) - [i59]Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren:
A Self-Correcting Sequential Recommender. CoRR abs/2303.02297 (2023) - [i58]Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren:
Learning to Tokenize for Generative Retrieval. CoRR abs/2304.04171 (2023) - [i57]Weiwei Sun, Pengjie Ren, Zhaochun Ren:
Generative Knowledge Selection for Knowledge-Grounded Dialogues. CoRR abs/2304.04836 (2023) - [i56]Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, Zhaochun Ren:
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. CoRR abs/2304.09542 (2023) - [i55]Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. CoRR abs/2305.05585 (2023) - [i54]Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. CoRR abs/2305.10531 (2023) - [i53]Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. CoRR abs/2305.11081 (2023) - [i52]Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen:
UMSE: Unified Multi-scenario Summarization Evaluation. CoRR abs/2305.16895 (2023) - [i51]Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren:
Towards Explainable Conversational Recommender Systems. CoRR abs/2305.18363 (2023) - [i50]Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren:
Answering Ambiguous Questions via Iterative Prompting. CoRR abs/2307.03897 (2023) - [i49]Wentao Deng, Jiahuan Pei, Zhaochun Ren, Zhumin Chen, Pengjie Ren:
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues. CoRR abs/2307.06703 (2023) - [i48]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i47]Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren:
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. CoRR abs/2309.08156 (2023) - [i46]Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. CoRR abs/2310.09846 (2023) - [i45]Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. CoRR abs/2310.16319 (2023) - [i44]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. CoRR abs/2310.17918 (2023) - [i43]Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren:
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR abs/2311.01555 (2023) - [i42]Shiguang Wu, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Maarten de Rijke, Zhaochun Ren:
Learning Robust Sequential Recommenders through Confident Soft Labels. CoRR abs/2311.02446 (2023) - [i41]Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren:
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. CoRR abs/2312.05762 (2023) - [i40]Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin:
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR abs/2312.07036 (2023) - [i39]Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
On the Effectiveness of Unlearning in Session-Based Recommendation. CoRR abs/2312.14447 (2023) - 2022
- [j17]Yougang Lyu, Zihan Wang, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Yujun Li, Hongsong Li, Hongye Song:
Improving legal judgment prediction through reinforced criminal element extraction. Inf. Process. Manag. 59(1): 102780 (2022) - [j16]Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren:
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. IEEE J. Biomed. Health Informatics 26(3): 939-951 (2022) - [j15]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Peiyu Liu, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-Domain Sequential Recommendations. ACM Trans. Knowl. Discov. Data 16(4): 64:1-64:32 (2022) - [j14]Xiao Zhang, Meng Liu, Jianhua Yin, Zhaochun Ren, Liqiang Nie:
Question Tagging via Graph-guided Ranking. ACM Trans. Inf. Syst. 40(1): 12:1-12:23 (2022) - [j13]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022) - [j12]Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022) - [c80]Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen:
Knowledge Bridging for Empathetic Dialogue Generation. AAAI 2022: 10993-11001 - [c79]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. ACL (Findings) 2022: 3412-3426 - [c78]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. KDD 2022: 1959-1968 - [c77]Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. SIGIR 2022: 165-175 - [c76]Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. SIGIR 2022: 1066-1076 - [c75]Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR 2022: 1347-1357 - [c74]Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR 2022: 2319-2324 - [c73]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. SIGIR 2022: 3013-3024 - [i38]Shanshan Wang, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Pengjie Ren:
Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding. CoRR abs/2204.02922 (2022) - [i37]Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong:
Event Transition Planning for Open-ended Text Generation. CoRR abs/2204.09453 (2022) - [i36]Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR abs/2206.07353 (2022) - [i35]Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren:
Debiasing Learning for Membership Inference Attacks Against Recommender Systems. CoRR abs/2206.12401 (2022) - [i34]Xin Xin, Jiyuan Yang, Hanbing Wang, Jun Ma, Pengjie Ren, Hengliang Luo, Xinlei Shi, Zhumin Chen, Zhaochun Ren:
On the User Behavior Leakage from Recommender System Exposure. CoRR abs/2210.08435 (2022) - [i33]Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, James Ko:
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing. CoRR abs/2211.12881 (2022) - [i32]Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren:
Feature-Level Debiased Natural Language Understanding. CoRR abs/2212.05421 (2022) - [i31]Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Contrastive Learning Reduces Hallucination in Conversations. CoRR abs/2212.10400 (2022) - [i30]Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren:
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. CoRR abs/2212.11868 (2022) - 2021
- [j11]Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
Meaningful Answer Generation of E-Commerce Question-Answering. ACM Trans. Inf. Syst. 39(2): 18:1-18:26 (2021) - [j10]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39(4): 47:1-47:29 (2021) - [c72]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. ACL/IJCNLP (1) 2021: 5638-5650 - [c71]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CCS 2021: 864-879 - [c70]Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong:
Description Generation for Points of Interest. ICDE 2021: 2213-2218 - [c69]Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke:
Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. SIGIR 2021: 522-532 - [c68]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. SIGIR 2021: 533-543 - [c67]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. SIGIR 2021: 544-554 - [c66]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. SIGIR 2021: 1003-1012 - [c65]Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR 2021: 1135-1145 - [c64]Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Conversations Powered by Cross-Lingual Knowledge. SIGIR 2021: 1442-1451 - [c63]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. SIGIR 2021: 2499-2506 - [c62]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. WSDM 2021: 337-345 - [c61]Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. WWW 2021: 239-248 - [c60]Dan Li, Zhaochun Ren, Evangelos Kanoulas:
CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations. WWW 2021: 1821-1832 - [i29]Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke:
Abstractive Opinion Tagging. CoRR abs/2101.06880 (2021) - [i28]Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke:
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. CoRR abs/2105.03748 (2021) - [i27]Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke:
Semi-Supervised Variational Reasoning for Medical Dialogue Generation. CoRR abs/2105.06071 (2021) - [i26]Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke:
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. CoRR abs/2105.06083 (2021) - [i25]Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Wizard of Search Engine: Access to Information Through Conversations with Search Engines. CoRR abs/2105.08301 (2021) - [i24]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Jun Ma, Maarten de Rijke:
Improving Transformer-based Sequential Recommenders through Preference Editing. CoRR abs/2106.12120 (2021) - [i23]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang, Qiang Yan, Evangelos Kanoulas, Maarten de Rijke:
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. CoRR abs/2106.15467 (2021) - [i22]Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou:
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. CoRR abs/2106.15903 (2021) - [i21]Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Huasheng Liang:
M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. CoRR abs/2109.00430 (2021) - [i20]Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang:
Membership Inference Attacks Against Recommender Systems. CoRR abs/2109.08045 (2021) - 2020
- [j9]Xiao Huang, Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. SIGIR Forum 54(1): 6:1-6:5 (2020) - [j8]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. IEEE Trans. Knowl. Data Eng. 32(8): 1502-1516 (2020) - [c59]Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM 2020: 505-514 - [c58]Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen:
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING 2020: 4454-4466 - [c57]Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. ECAI 2020: 2244-2251 - [c56]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c55]Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. IJCAI 2020: 4854-4860 - [c54]Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. SIGIR 2020: 719-728 - [c53]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke:
Coding Electronic Health Records with Adversarial Reinforcement Path Generation. SIGIR 2020: 801-810 - [c52]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
Meta Matrix Factorization for Federated Rating Predictions. SIGIR 2020: 981-990 - [c51]Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. SIGIR 2020: 1151-1160 - [c50]Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He:
AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. SIGIR 2020: 2448-2450 - [c49]Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie:
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. WSDM 2020: 582-590 - [c48]Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke:
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. WSDM 2020: 907-908 - [c47]Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin:
Keywords Generation Improves E-Commerce Session-based Recommendation. WWW 2020: 1604-1614 - [i19]Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma:
A Neural Topical Expansion Framework for Unstructured Persona-oriented Dialogue Generation. CoRR abs/2002.02153 (2020) - [i18]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines. CoRR abs/2004.14162 (2020) - [i17]Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. CoRR abs/2005.04684 (2020) - [i16]Qintong Li, Piji Li, Zhumin Chen, Zhaochun Ren:
Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling. CoRR abs/2009.09708 (2020) - [i15]Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
Meaningful Answer Generation of E-Commerce Question-Answering. CoRR abs/2011.07307 (2020) - [i14]Muyang Ma, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Lifan Zhao, Jun Ma, Maarten de Rijke:
Mixed Information Flow for Cross-domain Sequential Recommendations. CoRR abs/2012.00485 (2020)
2010 – 2019
- 2019
- [c46]Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin:
Spectral Clustering in Heterogeneous Information Networks. AAAI 2019: 4221-4228 - [c45]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. AAAI 2019: 4806-4813 - [c44]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. AAAI 2019: 6399-6406 - [c43]Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. CIKM 2019: 1623-1632 - [c42]Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang:
Vectors of Pairwise Item Preferences. ECIR (1) 2019: 323-336 - [c41]Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang:
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. IJCAI 2019: 2116-2122 - [c40]Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu:
Robust Embedding with Multi-Level Structures for Link Prediction. IJCAI 2019: 5240-5246 - [c39]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. WSDM 2019: 429-437 - [c38]Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong:
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM 2019: 573-581 - [c37]Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM 2019: 844-845 - [c36]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. WWW 2019: 1095-1105 - [c35]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [e1]Qi Zhang, Xiangwen Liao, Zhaochun Ren:
Information Retrieval - 25th China Conference, CCIR 2019, Fuzhou, China, September 20-22, 2019, Proceedings. Lecture Notes in Computer Science 11772, Springer 2019, ISBN 978-3-030-31623-5 [contents] - [i13]Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. CoRR abs/1901.07696 (2019) - [i12]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Improving Outfit Recommendation with Co-supervision of Fashion Generation. CoRR abs/1908.09104 (2019) - [i11]Pengjie Ren, Yujie Lin, Muyang Ma, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. CoRR abs/1910.02448 (2019) - [i10]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng:
From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. CoRR abs/1910.10086 (2019) - [i9]Qintong Li, Hongshen Chen, Zhaochun Ren, Zhumin Chen, Zhaopeng Tu, Jun Ma:
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation. CoRR abs/1911.08698 (2019) - 2018
- [j7]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma:
User session level diverse reranking of search results. Neurocomputing 274: 66-79 (2018) - [j6]Gaurav Pandey, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke:
Linear feature extraction for ranking. Inf. Retr. J. 21(6): 481-506 (2018) - [j5]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke:
Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018) - [c34]Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin:
Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. ACL (1) 2018: 1437-1447 - [c33]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c32]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM 2018: 1403-1412 - [c31]Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas:
Dynamic Embeddings for User Profiling in Twitter. KDD 2018: 1764-1773 - [c30]Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke:
Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. SIGIR 2018: 1379-1382 - [c29]Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. WSDM 2018: 387-395 - [c28]Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin:
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. WSDM 2018: 619-627 - [c27]Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin:
Hierarchical Variational Memory Network for Dialogue Generation. WWW 2018: 1653-1662 - [c26]Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke:
Manifold Learning for Rank Aggregation. WWW 2018: 1735-1744 - [i8]Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. CoRR abs/1806.08977 (2018) - [i7]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR abs/1808.10596 (2018) - [i6]Yao Ma, Ziyi Guo, Zhaochun Ren, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Dynamic Graph Neural Networks. CoRR abs/1810.10627 (2018) - [i5]Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke:
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. CoRR abs/1812.02646 (2018) - [i4]Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan:
Abstractive Text Summarization by Incorporating Reader Comments. CoRR abs/1812.05407 (2018) - 2017
- [j4]Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. 36(1): 10:1-10:37 (2017) - [c25]Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing:
Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. AAAI 2017: 3497-3503 - [c24]Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. AAAI 2017: 3504-3510 - [c23]Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma:
Neural Attentive Session-based Recommendation. CIKM 2017: 1419-1428 - [c22]Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua:
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. IJCAI 2017: 310-316 - [c21]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, Maarten de Rijke:
Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. SIGIR 2017: 95-104 - [c20]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. SIGIR 2017: 345-354 - [c19]Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke:
Summarizing Answers in Non-Factoid Community Question-Answering. WSDM 2017: 405-414 - [c18]Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM 2017: 485-494 - [c17]Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox:
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - [i3]Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam:
Neural Rating Regression with Abstractive Tips Generation for Recommendation. CoRR abs/1708.00154 (2017) - [i2]Yao Ma, Suhang Wang, Zhaochun Ren, Dawei Yin, Jiliang Tang:
Preserving Local and Global Information for Network Embedding. CoRR abs/1710.07266 (2017) - [i1]Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma:
Neural Attentive Session-based Recommendation. CoRR abs/1711.04725 (2017) - 2016
- [j3]Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke:
Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. 28(11): 2958-2973 (2016) - [c16]Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke:
Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. CIKM 2016: 387-396 - [c15]Yafang Wang, Zhaochun Ren, Martin Theobald, Maximilian Dylla, Gerard de Melo:
Summary Generation for Temporal Extractions. DEXA (1) 2016: 370-386 - [c14]Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Explainable User Clustering in Short Text Streams. SIGIR 2016: 155-164 - 2015
- [j2]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren:
Mining and ranking users' intents behind queries. Inf. Retr. J. 18(6): 504-529 (2015) - [c13]Zhaochun Ren, Maarten de Rijke:
Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes. SIGIR 2015: 93-102 - [c12]David van Dijk, Zhaochun Ren, Evangelos Kanoulas, Maarten de Rijke:
The University of Amsterdam (ILPS) at TREC 2015 Total Recall Track. TREC 2015 - 2014
- [c11]Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke:
Time-Aware Rank Aggregation for Microblog Search. CIKM 2014: 989-998 - [c10]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. ECIR 2014: 493-499 - [c9]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
Personalized search result diversification via structured learning. KDD 2014: 751-760 - [c8]Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, Maarten de Rijke:
Hierarchical multi-label classification of social text streams. SIGIR 2014: 213-222 - [c7]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
Fusion helps diversification. SIGIR 2014: 303-312 - 2013
- [c6]Zhaochun Ren, David van Dijk, David Graus, Nina van der Knaap, Hans Henseler, Maarten de Rijke:
Semantic Linking and Contextualization for Social Forensic Text Analysis. EISIC 2013: 96-99 - [c5]Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke:
Personalized time-aware tweets summarization. SIGIR 2013: 513-522 - [c4]Chaoran Cui, Jun Ma, Tao Lian, Xiaofang Wang, Zhaochun Ren:
Ranking-oriented nearest-neighbor based method for automatic image annotation. SIGIR 2013: 957-960 - 2012
- [c3]Yafang Wang, Maximilian Dylla, Zhaochun Ren, Marc Spaniol, Gerhard Weikum:
PRAVDA-live: interactive knowledge harvesting. CIKM 2012: 2674-2676 - 2011
- [j1]Chaoran Cui, Jun Ma, Lei Zhang, Piji Li, Zhaochun Ren:
A hybrid relevant-diverse approach for image re-ranking with multiple features. Int. J. Comput. Math. 88(18): 3864-3881 (2011) - [c2]Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu:
Summarizing web forum threads based on a latent topic propagation process. CIKM 2011: 879-884 - [c1]Zhaochun Ren, Jun Ma, Gang Wang, Chaoran Cui, Xiaohui Han:
Dynamically Modeling Semantic Dependencies in Web Forum Threads. Web Intelligence 2011: 348-351
Coauthor Index
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