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Ming Gao 0001
Person information
- affiliation: East China Normal University, School of Data Science and Engineering, Shanghai, China
- affiliation (former): Singapore Management University, Singapore
Other persons with the same name
- Ming Gao — disambiguation page
- Ming Gao 0002 — National University of Defense Technology, Changsha, China
- Ming Gao 0003 — University of Reading, School of Systems Engineering, UK
- Ming Gao 0005 — FZI Forschungszentrum Informatik, Group of Technisch Kognitive Assistenzsysteme, Germany
- Ming Gao 0006
— China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China (and 1 more)
- Ming Gao 0007
- Ming Gao 0008
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2020 – today
- 2024
- [j16]Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18(3): 183308 (2024) - [j15]Jiacheng Liu
Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse. IEEE J. Sel. Areas Commun. 42(3): 680-693 (2024) - [j14]Tiandi Ye
BapFL: You can Backdoor Personalized Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 166 (2024) - [c73]Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. ACL (1) 2024: 4958-4981 - [c72]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) 2024: 13492-13510 - [c71]Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. LREC/COLING 2024: 3707-3717 - [c70]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING 2024: 10958-10969 - [c69]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING 2024: 15362-15372 - [c68]Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING 2024: 16713-16726 - [c67]Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao:
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. ICASSP 2024: 7595-7599 - [c66]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. NAACL-HLT (Findings) 2024: 3261-3280 - [c65]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. SDM 2024: 851-859 - [i43]Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou:
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends. CoRR abs/2401.07518 (2024) - [i42]Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley:
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR abs/2402.08785 (2024) - [i41]Yingfan Liu, Renyu Zhu, Ming Gao:
Personalized Programming Guidance based on Deep Programming Learning Style Capturing. CoRR abs/2403.14638 (2024) - [i40]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR abs/2404.07471 (2024) - [i39]Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu:
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator. CoRR abs/2409.06955 (2024) - [i38]Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu:
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. CoRR abs/2409.07734 (2024) - 2023
- [j13]Jiacheng Liu
INFER: Distilling knowledge from human-generated rules with uncertainty for STINs. Inf. Sci. 645: 119219 (2023) - [j12]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023) - [j11]Yixin Cao
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023) - [c64]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI 2023: 13682-13690 - [c63]Xiaodan Wang, Chengyu Wang, Lei Li, Zhixu Li, Ben Chen, Linbo Jin, Jun Huang, Yanghua Xiao, Ming Gao:
FashionKLIP: Enhancing E-Commerce Image-Text Retrieval with Fashion Multi-Modal Conceptual Knowledge Graph. ACL (industry) 2023: 149-158 - [c62]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) 2023: 868-880 - [c61]Jianing Wang
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM 2023: 5111-5116 - [c60]Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CVPR 2023: 3708-3717 - [c59]Tiandi Ye, Senhui Wei, Jamie Cui
Robust Clustered Federated Learning. DASFAA (1) 2023: 677-692 - [c58]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-learning Siamese Network for Few-Shot Text Classification. DASFAA (3) 2023: 737-752 - [c57]Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao:
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. ECAI 2023: 1625-1632 - [c56]Nuo Chen
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) 2023: 577-591 - [c55]Jianing Wang, Qiushi Sun, Nuo Chen
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) 2023: 7873-7884 - [c54]Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang:
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. EMNLP 2023: 8055-8068 - [c53]Nuo Chen
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) 2023: 14857-14873 - [c52]Feilong Tang, Xue Li, Long Chen, Jiacheng Liu
Reinforcement Learning Based Control Domain Division in LEO Satellite Networks. HPCC/DSS/SmartCity/DependSys 2023: 303-310 - [c51]Yingfan Liu, Renyu Zhu, Ming Gao:
Personalized Programming Guidance Based on Deep Programming Learning Style Capturing. ICCSE (1) 2023: 214-231 - [c50]Yao Liu, Tianran Liu, Chaopeng Yi, Yuepeng Xu, Ming Gao, Wei Wang, Aoying Zhou:
An Education-Oriented Collaborative Code Hosting Platform for Programming Courses. ICCSE (2) 2023: 304-315 - [c49]Yingnan Fu
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. ICDAR (1) 2023: 134-151 - [c48]Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao:
Graph Self-Contrast Representation Learning. ICDM 2023: 31-40 - [c47]Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian:
ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) 2023: 106-119 - [c46]Yingnan Fu
Symbol Location-Aware Network for Improving Handwritten Mathematical Expression Recognition. ICMR 2023: 516-524 - [c45]Yingnan Fu, Shu Zheng, Wenyuan Cai, Ming Gao, Cheqing Jin, Aoying Zhou:
Dynamic Feature Selection for Structural Image Content Recognition. MMM (2) 2023: 337-349 - [c44]Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao:
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. NeurIPS 2023 - [c43]Xiang Li
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. WWW 2023: 143-153 - [i37]Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao:
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. CoRR abs/2301.12458 (2023) - [i36]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR abs/2302.03507 (2023) - [i35]Chengcheng Han, Renyu Zhu, Jun Kuang, FengJiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu:
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. CoRR abs/2302.07739 (2023) - [i34]Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou:
Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR abs/2302.08659 (2023) - [i33]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR abs/2302.14286 (2023) - [i32]Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao:
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. CoRR abs/2302.14307 (2023) - [i31]Qiushi Sun, Chengcheng Han, Nuo Chen
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. CoRR abs/2305.08088 (2023) - [i30]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR abs/2305.10013 (2023) - [i29]Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR abs/2306.06427 (2023) - [i28]Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR abs/2306.07285 (2023) - [i27]Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao:
Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization. CoRR abs/2307.08299 (2023) - [i26]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
You Can Backdoor Personalized Federated Learning. CoRR abs/2307.15971 (2023) - [i25]Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao:
UPFL: Unsupervised Personalized Federated Learning towards New Clients. CoRR abs/2307.15994 (2023) - [i24]Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou:
TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR abs/2308.15010 (2023) - [i23]Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian:
Exchanging-based Multimodal Fusion with Transformer. CoRR abs/2309.02190 (2023) - [i22]Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao:
Graph Self-Contrast Representation Learning. CoRR abs/2309.02304 (2023) - [i21]Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao:
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. CoRR abs/2309.13546 (2023) - [i20]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Boosting In-Context Learning with Factual Knowledge. CoRR abs/2309.14771 (2023) - [i19]Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang:
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. CoRR abs/2310.05074 (2023) - [i18]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR abs/2310.13022 (2023) - [i17]Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao:
Prioritized Propagation in Graph Neural Networks. CoRR abs/2311.02832 (2023) - [i16]Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao:
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. CoRR abs/2311.12358 (2023) - 2022
- [j10]Jianbing Zheng, Ming Gao
On measuring network robustness for weighted networks. Knowl. Inf. Syst. 64(7): 1967-1996 (2022) - [j9]Ming Gao
Learning Vertex Representations for Bipartite Networks. IEEE Trans. Knowl. Data Eng. 34(1): 379-393 (2022) - [c42]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. ACL (1) 2022: 5142-5153 - [c41]Cen Chen, Tiandi Ye, Li Wang, Ming Gao:
Learning to Generalize in Heterogeneous Federated Networks. CIKM 2022: 159-168 - [c40]Jianing Wang
Towards Unified Prompt Tuning for Few-shot Text Classification. EMNLP (Findings) 2022: 524-536 - [c39]Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao:
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. EMNLP (Findings) 2022: 881-888 - [c38]Jianing Wang
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP 2022: 3152-3163 - [c37]Jianing Wang
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. EMNLP 2022: 3164-3177 - [c36]Jianing Wang
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP 2022: 3466-3476 - [c35]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. EMNLP (Findings) 2022: 4000-4008 - [c34]Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. ICDM (Workshops) 2022: 298-307 - [c33]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. SIGIR 2022: 2093-2098 - [c32]Lei Li, Dongxiang Zhang, Chengyu Wang, Cheqing Jin, Ming Gao, Aoying Zhou:
Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge. WISE 2022: 370-385 - [i15]Jianing Wang
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR abs/2205.03071 (2022) - [i14]Jianing Wang
Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR abs/2205.05313 (2022) - [i13]Tingting Liu, Chengyu Wang, Cen Chen, Ming Gao, Aoying Zhou:
Understanding Long Programming Languages with Structure-Aware Sparse Attention. CoRR abs/2205.13730 (2022) - [i12]Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai:
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. CoRR abs/2206.04730 (2022) - [i11]Nuo Chen
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR abs/2210.04633 (2022) - [i10]Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. CoRR abs/2210.08536 (2022) - [i9]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR abs/2210.09049 (2022) - 2021
- [c31]Chengcheng Han
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. ACL/IJCNLP (Findings) 2021: 1664-1673 - [c30]Chengyu Wang, Jianing Wang
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) 2021: 2792-2802 - [c29]Jianbing Zheng, Shuai Wang, Cheqing Jin, Ming Gao, Aoying Zhou, Liang Ni:
Trajectory Similarity Search with Multi-level Semantics. ICA3PP (3) 2021: 602-619 - [c28]Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou:
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. ICDE 2021: 888-899 - [i8]Chengcheng Han
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. CoRR abs/2107.12262 (2021) - [i7]Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. CoRR abs/2112.08273 (2021) - 2020
- [c27]Jun Kuang
Improving Neural Relation Extraction with Implicit Mutual Relations. ICDE 2020: 1021-1032 - [i6]Yingnan Fu, Tingting Liu, Ming Gao, Aoying Zhou:
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition. CoRR abs/2007.02517 (2020) - [i5]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR abs/2011.13574 (2020) - [i4]Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou:
On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner. CoRR abs/2011.14333 (2020)
2010 – 2019
- 2019
- [j8]Chao Kong
EnAli: entity alignment across multiple heterogeneous data sources. Frontiers Comput. Sci. 13(1): 157-169 (2019) - [j7]Jihong Yan, Chen Xu, Na Li, Ming Gao, Aoying Zhou:
Optimizing model parameter for entity summarization across knowledge graphs. J. Comb. Optim. 37(1): 293-318 (2019) - [c26]Lisi Ai, Baoli Gao, Jianbing Zheng, Ming Gao:
On Improving Text Generation Via Integrating Text Coherence. CCIS 2019: 6-10 - [c25]Yuanzhe Chen, Jun Kuang
AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) 2019: 533-537 - [i3]Ming Gao, Xiangnan He, Leihui Chen, Aoying Zhou:
Learning Vertex Representations for Bipartite Networks. CoRR abs/1901.09676 (2019) - [i2]Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou:
Improving Neural Relation Extraction with Implicit Mutual Relations. CoRR abs/1907.05333 (2019) - 2018
- [b2]Ming Gao, Ee-Peng Lim
Network Data Mining and Analysis. East China Normal University Scientific Reports 8, WorldScientific 2018, ISBN 9789813274952, pp. 1-204 - [j6]Jihong Yan, Chengyu Wang, Wenliang Cheng, Ming Gao, Aoying Zhou:
A retrospective of knowledge graphs. Frontiers Comput. Sci. 12(1): 55-74 (2018) - [c24]Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou:
BiNE: Bipartite Network Embedding. SIGIR 2018: 715-724 - 2017
- [b1]Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao
Discovery and Fusion of Uncertain Knowledge in Data. East China Normal University Scientific Reports 6, WorldScientific 2017, ISBN 9789813227125, pp. 1-224 - [j5]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. IEEE Trans. Knowl. Data Eng. 29(1): 57-71 (2017) - [c23]Lisi Ai, Na Li, Jianbing Zheng, Ming Gao:
Automatic Text Generation via Text Extraction Based on Submodular. APWeb/WAIM Workshops 2017: 237-246 - [c22]Leihui Chen, Jianbing Zheng, Ming Gao, Aoying Zhou, Wei Zeng, Hui Chen:
TLRec: Transfer Learning for Cross-Domain Recommendation. ICBK 2017: 167-172 - [c21]Jianbing Zheng, Yanbin Li, Yanji Hou, Ming Gao, Aoying Zhou:
BMNR: Design and Implementation a Benchmark for Metrics of Network Robustness. ICBK 2017: 320-325 - [i1]Xiangnan He, Ming Gao, Min-Yen Kan, Dingxian Wang:
BiRank: Towards Ranking on Bipartite Graphs. CoRR abs/1708.04396 (2017) - 2016
- [j4]Ming Gao, Ee-Peng Lim
On detecting maximal quasi antagonistic communities in signed graphs. Data Min. Knowl. Discov. 30(1): 99-146 (2016) - [j3]Rong Zhang, Ming Gao, Xiaofeng He, Aoying Zhou:
Learning user credibility for product ranking. Knowl. Inf. Syst. 46(3): 679-705 (2016) - [c20]Liang Zhang, Ming Gao, Weining Qian, Aoying Zhou:
Compressing Streaming Graph Data Based on Triangulation. APWeb Workshops 2016: 164-175 - [c19]Chao Kong
Entity Matching Across Multiple Heterogeneous Data Sources. DASFAA (1) 2016: 133-146 - [c18]Jihong Yan, Yanhua Wang, Ming Gao, Aoying Zhou:
Context-Aware Entity Summarization. WAIM (1) 2016: 517-529 - 2015
- [j2]Jihong Yan, Wenliang Cheng, Chengyu Wang, Jun Liu, Ming Gao, Aoying Zhou:
Optimizing word set coverage for multi-event summarization. J. Comb. Optim. 30(4): 996-1015 (2015) - [c17]Chao Kong
ACID Encountering the CAP Theorem: Two Bank Case Studies. IEEE WISA 2015: 235-240 - [c16]Jinyang Li, Chengyu Wang, Xiaofeng He, Rong Zhang, Ming Gao:
User Generated Content Oriented Chinese Taxonomy Construction. APWeb 2015: 623-634 - [c15]Chengyu Wang, Ming Gao, Xiaofeng He, Rong Zhang:
Challenges in Chinese knowledge graph construction. ICDE Workshops 2015: 59-61 - [c14]Qiuge Song, Cheqing Jin, Xiaoling Wang, Ming Gao, Aoying Zhou:
Discovering underpasses from walking trajectories. ICDE Workshops 2015: 129-133 - [c13]Ming Gao, Ee-Peng Lim
CNL: Collective Network Linkage Across Heterogeneous Social Platforms. ICDM 2015: 757-762 - [c12]Rong Zhang, Yifan Gao, Wenzhe Yu, Pingfu Chao
Review Comment Analysis for Predicting Ratings. WAIM 2015: 247-259 - [c11]Lei Wang, Ming Gao, Rong Zhang, Cheqing Jin, Aoying Zhou:
Computing Probability Threshold Set Similarity on Probabilistic Sets. WAIM 2015: 374-386 - 2014
- [j1]Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong:
Real-time and Personalized Search over a Microblogging System. Comput. J. 57(9): 1281-1295 (2014) - [c10]Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama
Predicting the popularity of web 2.0 items based on user comments. SIGIR 2014: 233-242 - 2013
- [c9]Ming Gao, Cheqing Jin, Wei Wang, Xuemin Lin
Similarity query processing for probabilistic sets. ICDE 2013: 913-924 - [c8]Philips Kokoh Prasetyo, Ming Gao, Ee-Peng Lim
Social Sensing for Urban Crisis Management: The Case of Singapore Haze. SocInfo 2013: 478-491 - [c7]Ming Gao, Ee-Peng Lim
R-energy for evaluating robustness of dynamic networks. WebSci 2013: 89-98 - 2012
- [c6]Ming Gao, Cheqing Jin, Weining Qian, Xueqing Gong:
Real-Time Search over a Microblogging System. CGC 2012: 352-359 - 2011
- [c5]Cheqing Jin, Ming Gao, Aoying Zhou:
Handling ER-topk Query on Uncertain Streams. DASFAA (1) 2011: 326-340 - 2010
- [c4]Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou:
Recording How-Provenance on Probabilistic Databases. APWeb 2010: 205-211 - [c3]Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou:
GRAMS3: An Efficient Framework for XML Structural Similarity Search. DASFAA Workshops 2010: 422-433
2000 – 2009
- 2009
- [c2]Chen Zhang, Ming Gao, Aoying Zhou:
Tracking High Quality Clusters over Uncertain Data Streams. ICDE 2009: 1641-1648 - 2004
- [c1]Jiadi Yu, Minglu Li, Ying Li, Feng Hong, Ming Gao:
A Framework for Price-Based Resource Allocation on the Grid. PDCAT 2004: 341-344
Coauthor Index
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last updated on 2024-12-23 20:29 CET by the dblp team
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