Hong Cheng - RankMe

265 papers A* 57A 22B 5Misc 2Journal 128Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe. CoRR Xixi Wu, Qianguo Sun, Ruiyang Zhang, Chao Song, Junlong Wu, Yiyan Qi, Hong Cheng
2026	J	`jnl`	Exploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network. Neural Networks Zongshen Mu, Yujie Wan, Yueting Zhuang, Jie Tan, Hong Cheng, Yueyang Wang
2026	J	`jnl`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. CoRR Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2026	J	`jnl`	Lingshu-Cell: A generative cellular world model for transcriptome modeling toward virtual cells. CoRR Han Zhang, Guo-Hua Yuan, Chaohao Yuan, Tingyang Xu, Tian Bian, Hong Cheng, Wenbing Huang, Deli Zhao, Yu Rong
2026	A	`conf`	ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. WSDM Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2025	J	`jnl`	A Comprehensive Analysis on LLM-based Node Classification Algorithms. CoRR Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
2025	J	`jnl`	A Survey of Graph Transformers: Architectures, Theories and Applications. CoRR Chaohao Yuan, Kangfei Zhao, Ercan Engin Kuruoglu, Liang Wang, Tingyang Xu, Wenbing Huang, Deli Zhao, Hong Cheng, Yu Rong
2025	A*	`conf`	Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators. SIGIR Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
2025	J	`jnl`	Answer-Consistent Chain-of-thought Reinforcement Learning For Multi-modal Large Langauge Models. CoRR Minbin Huang, Runhui Huang, Chuanyang Zheng, Jingyao Li, Guoxuan Chen, Han Shi, Hong Cheng
2025	J	`jnl`	Can Large Language Models Be Query Optimizer for Relational Databases? CoRR Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025	J	`jnl`	Can Large Language Models Be Query Optimizer for Relational Databases? Proc. ACM Manag. Data Jie Tan, Kangfei Zhao, Rui Li, Jeffrey Xu Yu, Chengzhi Piao, Hong Cheng, Helen Meng, Deli Zhao, Yu Rong
2025	—	`conf`	DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation. NAACL (Findings) Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu
2025	A*	`conf`	Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. ICML Qunzhong Wang, Xiangguo Sun, Hong Cheng
2025	A*	`conf`	Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags. IJCAI Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou
2025	—	`conf`	Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting. KDD (2) Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li
2025	J	`jnl`	Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. CoRR Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua
2025	—	`conf`	Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. NAACL (Long Papers) Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi
2025	A	`conf`	Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. RecSys Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi
2025	J	`jnl`	Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. CoRR Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tang, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi
2025	A*	`conf`	IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. ICML Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025	—	`conf`	Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. ACL (Findings) Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua
2025	J	`jnl`	Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. CoRR Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua
2025	A*	`conf`	MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment. ACM Multimedia Hang Lv, Zixuan Guo, Zijie Wu, Yanchao Tan, Guofang Ma, Zhigang Lin, Xiping Chen, Hong Cheng, Carl Yang
2025	A*	`conf`	MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval. EMNLP Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng
2025	J	`jnl`	MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval. CoRR Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng
2025	J	`jnl`	Natural Language-Assisted Multi-modal Medication Recommendation. CoRR Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2025	J	`jnl`	NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. CoRR Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2025	J	`jnl`	On Graph Representation for Attributed Hypergraph Clustering. Proc. ACM Manag. Data Zijin Feng, Miao Qiao, Chengzhi Piao, Hong Cheng
2025	J	`jnl`	ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. CoRR Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong
2025	J	`jnl`	Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts. CoRR Xiaoyan Zhao, Ming Yan, Yang Zhang, Yang Deng, Jian Wang, Fengbin Zhu, Yilun Qiu, Hong Cheng, Tat-Seng Chua
2025	J	`jnl`	SteerX: Disentangled Steering for LLM Personalization. CoRR Xiaoyan Zhao, Ming Yan, Yilun Qiu, Haoting Ni, Yang Zhang, Fuli Feng, Hong Cheng, Tat-Seng Chua
2025	A*	`conf`	When Do LLMs Help With Node Classification? A Comprehensive Analysis. ICML Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
2024	J	`jnl`	A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
2024	A*	`conf`	A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2024	J	`jnl`	Accelerating Maximal Clique Enumeration via Graph Reduction. Proc. VLDB Endow. Wen Deng, Weiguo Zheng, Hong Cheng
2024	J	`jnl`	Adaptive Coordinators and Prompts on Heterogeneous Graphs for Cross-Domain Recommendations. CoRR Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi
2024	A*	`conf`	All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024	J	`jnl`	All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024	J	`jnl`	All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2024	A*	`conf`	All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). IJCAI Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2024	J	`jnl`	AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. IEEE Trans. Knowl. Data Eng. Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi
2024	A*	`conf`	Can Graph Learning Improve Planning in LLM-based Agents? NeurIPS Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024	J	`jnl`	Can Graph Learning Improve Task Planning? CoRR Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
2024	J	`jnl`	Counter-Empirical Attacking Based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. IEEE Trans. Knowl. Data Eng. Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin
2024	J	`jnl`	DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation. CoRR Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu
2024	—	`conf`	Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. ACL (1) Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson
2024	J	`jnl`	Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. CoRR Qunzhong Wang, Xiangguo Sun, Hong Cheng
2024	J	`jnl`	Efficient Multi-modal Large Language Models via Visual Token Grouping. CoRR Minbin Huang, Runhui Huang, Han Shi, Yimeng Chen, Chuanyang Zheng, Xiangguo Sun, Xin Jiang, Zhenguo Li, Hong Cheng
2024	A*	`conf`	Graph Intelligence with Large Language Models and Prompt Learning. KDD Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu
2024	A	`conf`	Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng
2024	A*	`conf`	LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. EMNLP Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong
2024	A	`conf`	Natural Language-Assisted Multi-modal Medication Recommendation. CIKM Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng
2024	—	`conf`	PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong
2024	A*	`conf`	ProG: A Graph Prompt Learning Benchmark. NeurIPS Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
2024	J	`jnl`	ProG: A Graph Prompt Learning Benchmark. CoRR Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
2024	A*	`conf`	Protein Multimer Structure Prediction via Prompt Learning. ICLR Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
2024	J	`jnl`	Protein Multimer Structure Prediction via Prompt Learning. CoRR Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
2024	A	`conf`	When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CIKM Zhiyao Shu, Xiangguo Sun, Hong Cheng
2024	J	`jnl`	When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. CoRR Zhiyao Shu, Xiangguo Sun, Hong Cheng
2023	J	`jnl`	A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
2023	J	`jnl`	A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2023	J	`jnl`	Accelerating Maximal Clique Enumeration via Graph Reduction. CoRR Wen Deng, Weiguo Zheng, Hong Cheng
2023	J	`jnl`	Accelerating massive queries of approximate nearest neighbor search on high-dimensional data. Knowl. Inf. Syst. Yingfan Liu, Chaowei Song, Hong Cheng, Xiaofang Xia, Jiangtao Cui
2023	A*	`conf`	All in One: Multi-Task Prompting for Graph Neural Networks. KDD Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2023	J	`jnl`	All in One: Multi-task Prompting for Graph Neural Networks. CoRR Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2023	J	`jnl`	AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. CoRR Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi
2023	J	`jnl`	Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. Chengzhi Piao, Tingyang Xu, Xiangguo Sun, Yu Rong, Kangfei Zhao, Hong Cheng
2023	Misc	`conf`	Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation. ICASSP Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding
2023	J	`jnl`	Counter-Empirical Attacking based on Adversarial Reinforcement Learning for Time-Relevant Scoring System. CoRR Xiangguo Sun, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin
2023	A*	`conf`	Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023	J	`jnl`	Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023	J	`jnl`	Exploiting node-feature bipartite graph in graph convolutional networks. Inf. Sci. Yuli Jiang, Huaijia Lin, Ye Li, Yu Rong, Hong Cheng, Xin Huang
2023	—	`conf`	Functional Distributional Semantics at Scale. *SEM@ACL Chun Hei Lo, Hong Cheng, Wai Lam, Guy Emerson
2023	J	`jnl`	Graph Prompt Learning: A Comprehensive Survey and Beyond. CoRR Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li
2023	J	`jnl`	Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu, Hong Cheng, Helen M. Meng, Zibin Zheng, Liang Chen, Bingzhe Wu
2023	J	`jnl`	Modularity-based Hypergraph Clustering: Random Hypergraph Model, Hyperedge-cluster Relation, and Computation. Proc. ACM Manag. Data Zijin Feng, Miao Qiao, Hong Cheng
2023	J	`jnl`	Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2023	J	`jnl`	Towards Indoor Temporal-Variation Aware Shortest Path Query. IEEE Trans. Knowl. Data Eng. Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
2022	A*	`conf`	Clustering Activation Networks. ICDE Zijin Feng, Miao Qiao, Hong Cheng
2022	—	`conf`	On Controlling Fallback Responses for Grounded Dialogue Generation. ACL (Findings) Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng
2022	—	`conf`	Partner Personas Generation for Dialogue Response Generation. NAACL-HLT Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng
2022	J	`jnl`	Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed. Proc. VLDB Endow. Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2022	J	`jnl`	Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2022	—	`conf`	Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. ACL (1) Chun Hei Lo, Wai Lam, Hong Cheng
2022	J	`jnl`	TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs. CoRR Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi
2022	A*	`conf`	User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. WWW Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng
2022	J	`jnl`	User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. CoRR Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part I PAKDD (1) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II PAKDD (2) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III PAKDD (3) Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty
2021	A*	`conf`	Deconvolutional Networks on Graph Data. NeurIPS Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021	J	`jnl`	Deconvolutional Networks on Graph Data. CoRR Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021	A*	`conf`	Fast Distributed Complex Join Processing. ICDE Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng
2021	J	`jnl`	Fast Distributed Complex Join Processing. CoRR Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng
2021	—	`conf`	Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. SIGMOD Conference Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
2021	J	`jnl`	I/O efficient k-truss community search in massive graphs. VLDB J. Yuli Jiang, Xin Huang, Hong Cheng
2021	A*	`conf`	Mask-GVAE: Blind Denoising Graphs via Partition. WWW Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2021	J	`jnl`	Mask-GVAE: Blind Denoising Graphs via Partition. CoRR Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2021	J	`jnl`	Partner Personas Generation for Diverse Dialogue Generation. CoRR Hongyuan Lu, Wai Lam, Hong Cheng, Helen M. Meng
2021	J	`jnl`	QD-GCN: Query-Driven Graph Convolutional Networks for Attributed Community Search. CoRR Yuli Jiang, Yu Rong, Hong Cheng, Xin Huang, Kangfei Zhao, Junzhou Huang
2021	J	`jnl`	Revisiting k-Nearest Neighbor Graph Construction on High-Dimensional Data : Experiments and Analyses. CoRR Yingfan Liu, Hong Cheng, Jiangtao Cui
2021	J	`jnl`	Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation. CoRR 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
2020	A*	`conf`	Adversarial Attack on Community Detection by Hiding Individuals. WWW Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Adversarial Attack on Community Detection by Hiding Individuals. CoRR Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Answering Top-$k$ k Graph Similarity Queries in Graph Databases. IEEE Trans. Knowl. Data Eng. Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng
2020	A*	`conf`	Deep Graph Learning: Foundations, Advances and Applications. KDD Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma
2020	A*	`conf`	Dirichlet Graph Variational Autoencoder. NeurIPS Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Dirichlet Graph Variational Autoencoder. CoRR Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020	J	`jnl`	Distributed Subgraph Counting: A General Approach. Proc. VLDB Endow. Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, Kangfei Zhao, Hong Cheng
2020	J	`jnl`	Graph Autoencoders with Deconvolutional Networks. CoRR Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins
2020	J	`jnl`	Joint Embedding in Named Entity Linking on Sentence Level. CoRR Wei Shi, Siyuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu
2020	J	`jnl`	Maximizing the Reduction Ability for Near-maximum Independent Set Computation. Proc. VLDB Endow. Chengzhi Piao, Weiguo Zheng, Yu Rong, Hong Cheng
2020	A*	`conf`	Shortest Path Queries for Indoor Venues with Temporal Variations. ICDE Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu
2019	A*	`conf`	Computing a Near-Maximum Independent Set in Dynamic Graphs. ICDE Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu
2019	J	`jnl`	Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. CoRR Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
2019	J	`jnl`	Interactive natural language question answering over knowledge graphs. Inf. Sci. Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, Lei Zou, Kangfei Zhao
2019	A*	`conf`	Predicting Path Failure In Time-Evolving Graphs. KDD Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2019	J	`jnl`	Predicting Path Failure In Time-Evolving Graphs. CoRR Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2019	A*	`conf`	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2019	J	`jnl`	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2018	A*	`conf`	Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs. ICDE Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, Lei Zou
2018	—	`conf`	Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks. DASFAA (1) Siyuan Zhang, Hong Cheng
2018	—	`conf`	Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. DASFAA (2) Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang
2018	J	`jnl`	Exploiting lower bounds to accelerate approximate nearest neighbor search on high-dimensional data. Inf. Sci. Yingfan Liu, Hao Wei, Hong Cheng
2018	—	`ch.`	Frequent Itemsets and Association Rules. Encyclopedia of Database Systems (2nd ed.) Hong Cheng, Jiawei Han
2018	—	`ch.`	Graph Mining. Encyclopedia of Database Systems (2nd ed.) Hong Cheng, Jeffrey Xu Yu
2018	—	`ch.`	Pattern-Growth Methods. Encyclopedia of Database Systems (2nd ed.) Hong Cheng, Jiawei Han
2018	J	`jnl`	Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition. Proc. VLDB Endow. Weiguo Zheng, Jeffrey Xu Yu, Lei Zou, Hong Cheng
2018	A*	`conf`	TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng
2018	A*	`conf`	VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. ICDE Yuli Jiang, Xin Huang, Hong Cheng, Jeffrey Xu Yu
2017	—	`conf`	Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao
2017	A*	`conf`	An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. KDD Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang
2017	J	`jnl`	Discovering Conditional Matching Rules. ACM Trans. Knowl. Discov. Data Yihan Wang, Shaoxu Song, Lei Chen, Jeffrey Xu Yu, Hong Cheng
2017	—	`conf`	Efficient Local Clustering Coefficient Estimation in Massive Graphs. DASFAA (2) Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
2017	J	`jnl`	Efficient MapReduce algorithms for triangle listing in billion-scale graphs. Distributed Parallel Databases Yuanyuan Zhu, Hao Zhang, Lu Qin, Hong Cheng
2017	J	`jnl`	Graph repairing under neighborhood constraints. VLDB J. Shaoxu Song, Boge Liu, Hong Cheng, Jeffrey Xu Yu, Lei Chen
2017	J	`jnl`	I/O-efficient algorithms for top-k nearest keyword search in massive graphs. VLDB J. Qiankun Zhu, Hong Cheng, Xin Huang
2017	J	`jnl`	Integrating a weighted-average method into the random walk framework to generate individual friend recommendations. Sci. China Inf. Sci. Ji-Bing Gong, Xiaoxia Gao, Hong Cheng, Jihui Liu, Yanqing Song, Mantang Zhang, Yi Zhao
2017	—	`conf`	Keyphrase Extraction Using Knowledge Graphs. APWeb/WAIM (1) Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou
2017	J	`jnl`	Keyphrase Extraction Using Knowledge Graphs. Data Sci. Eng. Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou
2017	A	`conf`	Minimizing Dependence between Graphs. CIKM Yu Rong, Hong Cheng
2017	—	`conf`	Mining Cohesive Clusters with Interpretations in Labeled Graphs. PAKDD (2) Hongxia Du, Heli Sun, Jianbin Huang, Zhongbin Sun, Liang He, Hong Cheng
2017	A	`conf`	Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. CIKM Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao
2017	A	`conf`	PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM Yingfan Liu, Hong Cheng, Jiangtao Cui
2017	J	`jnl`	Subgraph Matching: on Compression and Computation. Proc. VLDB Endow. Miao Qiao, Hao Zhang, Hong Cheng
2016	A	`conf`	A Model-Free Approach to Infer the Diffusion Network from Event Cascade. CIKM Yu Rong, Qiankun Zhu, Hong Cheng
2016	J	`jnl`	Attributed Community Analysis: Global and Ego-centric Views. IEEE Data Eng. Bull. Xin Huang, Hong Cheng, Jeffrey Xu Yu
2016	J	`jnl`	Effective and Efficient: Large-Scale Dynamic City Express. IEEE Trans. Knowl. Data Eng. Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng
2016	—	`conf`	Efficient triangle listing for billion-scale graphs. IEEE BigData Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu
2016	J	`jnl`	Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Trans. Neural Networks Learn. Syst. Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2016	—	`conf`	Graph Analytics Through Fine-Grained Parallelism. SIGMOD Conference Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng
2016	—	`conf`	Individual Friends Recommendation Based on Random Walk with Restart in Social Networks. SMP Ji-Bing Gong, Xiaoxia Gao, Yanqing Song, Hong Cheng, Jingjing Xu
2016	A*	`conf`	TRIP: An interactive retrieving-inferring data imputation approach. ICDE Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
2016	A	`conf`	Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. CIKM Tianyi Lin, Siyuan Zhang, Hong Cheng
2015	J	`jnl`	Approximate Closest Community Search in Networks. CoRR Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
2015	J	`jnl`	Approximate Closest Community Search in Networks. Proc. VLDB Endow. Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
2015	J	`jnl`	Backward Path Growth for Efficient Mobile Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Jianbin Huang, Xuejun Huangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song
2015	J	`jnl`	Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach. Proc. VLDB Endow. Xiaofei Zhang, Hong Cheng, Lei Chen
2015	J	`jnl`	Dense community detection in multi-valued attributed networks. Inf. Sci. Xin Huang, Hong Cheng, Jeffrey Xu Yu
2015	—	`conf`	Effective and efficient: large-scale dynamic city express. SIGSPATIAL/GIS Siyuan Zhang, Lu Qin, Yu Zheng, Hong Cheng
2015	J	`jnl`	Individual Doctor Recommendation in Large Networks by Constrained Optimization. Int. J. Web Serv. Res. Ji-Bing Gong, Hong Cheng, Li-Li Wang
2015	J	`jnl`	Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2015	J	`jnl`	Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2015	—	`conf`	Sparse Subspace Clustering for Incomplete Images. ICCV Workshops Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng
2015	J	`jnl`	TRIP: An Interactive Retrieving-Inferring Data Imputation Approach. IEEE Trans. Knowl. Data Eng. Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou
2015	J	`jnl`	Top-K structural diversity search in large networks. VLDB J. Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu
2015	J	`jnl`	Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data. IEEE Trans. Cybern. Yuanyuan Liu, Fanhua Shang, Licheng Jiao, James Cheng, Hong Cheng
2015	A*	`conf`	Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. KDD Yu Rong, Hong Cheng, Zhiyu Mo
2014	A*	`conf`	A Monte Carlo algorithm for cold start recommendation. WWW Yu Rong, Xiao Wen, Hong Cheng
2014	J	`jnl`	Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. IEEE Trans. Knowl. Data Eng. Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
2014	J	`jnl`	Efficient Determination of Distance Thresholds for Differential Dependencies. IEEE Trans. Knowl. Data Eng. Shaoxu Song, Lei Chen, Hong Cheng
2014	J	`jnl`	Efficient processing of k-hop reachability queries. VLDB J. James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2014	A	`conf`	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong
2014	J	`jnl`	GBAGC: A General Bayesian Framework for Attributed Graph Clustering. ACM Trans. Knowl. Discov. Data Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2014	—	`conf`	Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion. NIPS Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2014	A	`conf`	Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. CIKM Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So
2014	J	`jnl`	Measuring the impact of MVC attack in large complex networks. Inf. Sci. Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang
2014	—	`ch.`	Mining Graph Patterns. Frequent Pattern Mining Hong Cheng, Xifeng Yan, Jiawei Han
2014	A	`conf`	Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. UAI Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng
2014	J	`jnl`	On Concise Set of Relative Candidate Keys. Proc. VLDB Endow. Shaoxu Song, Lei Chen, Hong Cheng
2014	—	`conf`	Querying k-truss community in large and dynamic graphs. SIGMOD Conference Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, Jeffrey Xu Yu
2014	A*	`conf`	Random-walk domination in large graphs. ICDE Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2014	A*	`conf`	Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. ICDM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	J	`jnl`	Repairing Vertex Labels under Neighborhood Constraints. Proc. VLDB Endow. Shaoxu Song, Hong Cheng, Jeffrey Xu Yu, Lei Chen
2014	A	`conf`	Robust Principal Component Analysis with Missing Data. CIKM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	—	`conf`	Scalable big graph processing in MapReduce. SIGMOD Conference Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, Xuemin Lin
2014	J	`jnl`	Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2014	A*	`conf`	The dual-sparse topic model: mining focused topics and focused terms in short text. WWW Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng
2013	J	`jnl`	Backward Path Growth for Efficient Mobile Sequential Recommendation CoRR Jianbin Huang, Xuejun Huangfu, Heli Sun, Hong Cheng, Qinbao Song
2013	J	`jnl`	Computing weight constraint reachability in large networks. VLDB J. Miao Qiao, Hong Cheng, Lu Qin, Jeffrey Xu Yu, Philip S. Yu, Lijun Chang
2013	—	`ch.`	Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu
2013	—	`conf`	Frequent Subgraph Summarization with Error Control. WAIM Zheng Liu, Ruoming Jin, Hong Cheng, Jeffrey Xu Yu
2013	—	`conf`	Predicting Project Outcome Leveraging Socio-Technical Network Patterns. CSMR Didi Surian, Yuan Tian, David Lo, Hong Cheng, Ee-Peng Lim
2013	A*	`conf`	Predicting positive and negative links in signed social networks by transfer learning. WWW Jihang Ye, Hong Cheng, Zhe Zhu, Minghua Chen
2013	A*	`conf`	Presenting diverse location views with real-time near-duplicate photo elimination. ICDE Jiajun Liu, Zi Huang, Hong Cheng, Yueguo Chen, Heng Tao Shen, Yanchun Zhang
2013	J	`jnl`	Random-walk domination in large graphs: problem definitions and fast solutions CoRR Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2013	J	`jnl`	Sparse hashing for fast multimedia search. ACM Trans. Inf. Syst. Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Heng Tao Shen
2013	J	`jnl`	Top-K Nearest Keyword Search on Large Graphs. Proc. VLDB Endow. Miao Qiao, Lu Qin, Hong Cheng, Jeffrey Xu Yu, Wentao Tian
2013	J	`jnl`	Top-K Structural Diversity Search in Large Networks. Proc. VLDB Endow. Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu
2013	A	`conf`	What's Your Next Move: User Activity Prediction in Location-based Social Networks. SDM Hong Cheng, Jihang Ye, Zhe Zhu
2012	J	`jnl`	A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks CoRR Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2012	—	`conf`	A model-based approach to attributed graph clustering. SIGMOD Conference Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng
2012	J	`jnl`	Approximate Homogeneous Graph Summarization. Inf. Media Technol. Zheng Liu, Jeffrey Xu Yu, Hong Cheng
2012	J	`jnl`	Approximate Homogeneous Graph Summarization. J. Inf. Process. Zheng Liu, Jeffrey Xu Yu, Hong Cheng
2012	A*	`conf`	Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. ICDE Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
2012	—	`conf`	Bayesian Network Structure Learning from Attribute Uncertain Data. WAIM Wenting Song, Jeffrey Xu Yu, Hong Cheng, Hongyan Liu, Jun He, Xiaoyong Du
2012	J	`jnl`	Clustering Large Attributed Graph. Inf. Media Technol. Hong Cheng, Jeffrey Xu Yu
2012	J	`jnl`	Clustering Large Attributed Graph. J. Inf. Process. Hong Cheng, Jeffrey Xu Yu
2012	J	`jnl`	Clustering large attributed information networks: an efficient incremental computing approach. Data Min. Knowl. Discov. Hong Cheng, Yang Zhou, Xin Huang, Jeffrey Xu Yu
2012	J	`jnl`	Coverage-based search result diversification. Inf. Retr. Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng
2012	J	`jnl`	Diversifying Search Results through Pattern-Based Subtopic Modeling. Int. J. Semantic Web Inf. Syst. Wei Zheng, Hui Fang, Hong Cheng, Xuanhui Wang
2012	B	`conf`	Finding top-k similar graphs in graph databases. EDBT Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng
2012	A	`conf`	Graph classification: a diversified discriminative feature selection approach. CIKM Yuanyuan Zhu, Jeffrey Xu Yu, Hong Cheng, Lu Qin
2012	J	`jnl`	K-Reach: Who is in Your Small World CoRR James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2012	J	`jnl`	K-Reach: Who is in Your Small World. Proc. VLDB Endow. James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu
2012	A	`conf`	Measuring robustness of complex networks under MVC attack. CIKM Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang
2012	A*	`conf`	Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints. ICDE Shaoxu Song, Lei Chen, Hong Cheng
2012	A	`conf`	Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2012	—	`conf`	Searching connected API subgraph via text phrases. SIGSOFT FSE Wing-Kwan Chan, Hong Cheng, David Lo
2012	—	`conf`	Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. DASFAA (1) Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan
2012	J	`jnl`	The exact distance to destination in undirected world. VLDB J. Lijun Chang, Jeffrey Xu Yu, Lu Qin, Hong Cheng, Miao Qiao
2011	A*	`conf`	ADANA: Active Name Disambiguation. ICDM Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu
2011	—	`conf`	An exploration of pattern-based subtopic modeling for search result diversification. JCDL Wei Zheng, Xuanhui Wang, Hui Fang, Hong Cheng
2011	—	`conf`	Bug Signature Minimization and Fusion. HASE David Lo, Hong Cheng, Xiaoyin Wang
2011	J	`jnl`	Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities. ACM Trans. Knowl. Discov. Data Hong Cheng, Yang Zhou, Jeffrey Xu Yu
2011	J	`jnl`	Mining Discriminative Patterns for Classifying Trajectories on Road Networks. IEEE Trans. Knowl. Data Eng. Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
2011	B	`conf`	Mining closed discriminative dyadic sequential patterns. EDBT David Lo, Hong Cheng, Lucia
2011	B	`conf`	Querying Shortest Path Distance with Bounded Errors in Large Graphs. SSDBM Miao Qiao, Hong Cheng, Jeffrey Xu Yu
2010	A*	`conf`	Clustering Large Attributed Graphs: An Efficient Incremental Approach. ICDM Yang Zhou, Hong Cheng, Jeffrey Xu Yu
2010	—	`ch.`	Discriminative Frequent Pattern-Based Graph Classification. Link Mining Hong Cheng, Xifeng Yan, Jiawei Han
2010	J	`jnl`	Discriminative frequent subgraph mining with optimality guarantees. Stat. Anal. Data Min. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2010	—	`conf`	Mining Closed Episodes from Event Sequences Efficiently. PAKDD (1) Wenzhi Zhou, Hongyan Liu, Hong Cheng
2010	—	`ch.`	Mining Graph Patterns. Managing and Mining Graph Data Hong Cheng, Xifeng Yan, Jiawei Han
2010	J	`jnl`	Mining near-duplicate graph for cluster-based reranking of web video search results. ACM Trans. Inf. Syst. Zi Huang, Bo Hu, Hong Cheng, Heng Tao Shen, Hongyan Liu, Xiaofang Zhou
2010	J	`jnl`	Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach. IEEE Trans. Knowl. Data Eng. Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, Tianyi Wu
2010	Misc	`conf`	Stock risk mining by news. ADC Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke
2009	A*	`conf`	Classification of software behaviors for failure detection: a discriminative pattern mining approach. KDD David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun
2009	—	`ch.`	Frequent Itemsets and Association Rules. Encyclopedia of Database Systems Hong Cheng, Jiawei Han
2009	J	`jnl`	Graph Clustering Based on Structural/Attribute Similarities. Proc. VLDB Endow. Yang Zhou, Hong Cheng, Jeffrey Xu Yu
2009	A	`conf`	Identifying bug signatures using discriminative graph mining. ISSTA Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan
2009	A	`conf`	Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt
2009	—	`ch.`	Pattern-Growth Methods. Encyclopedia of Database Systems Hong Cheng, Jiawei Han
2009	B	`conf`	RankClus: integrating clustering with ranking for heterogeneous information network analysis. EDBT Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu
2008	—	`ch.`	Approximate Frequent Itemset Mining In the Presence of Random Noise. Soft Computing for Knowledge Discovery and Data Mining Hong Cheng, Philip S. Yu, Jiawei Han
2008	—	`conf`	BibNetMiner: mining bibliographic information networks. SIGMOD Conference Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao
2008	A	`conf`	CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining. SDM Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, Jiawei Han
2008	—	`conf`	Combining near-optimal feature selection with gSpan. MLG@ICML Karsten M. Borgwardt, Xifeng Yan, Marisa Thoma, Hong Cheng, Arthur Gretton, Le Song, Alex Smola, Jiawei Han, Philip S. Yu, Hans-Peter Kriegel
2008	A*	`conf`	Direct Discriminative Pattern Mining for Effective Classification. ICDE Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu
2008	A*	`conf`	Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure
2008	B	`conf`	Forward Semi-supervised Feature Selection. PAKDD Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu
2008	—	`conf`	Mining significant graph patterns by leap search. SIGMOD Conference Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
2008	—	`—`	Towards Accurate and Efficient Classification: A Discriminative and Frequent Pattern-Based Approach Hong Cheng
2007	A*	`conf`	Discriminative Frequent Pattern Analysis for Effective Classification. ICDE Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
2007	J	`jnl`	Frequent pattern mining: current status and future directions. Data Min. Knowl. Discov. Jiawei Han, Hong Cheng, Dong Xin, Xifeng Yan
2007	A*	`conf`	Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng
2007	J	`jnl`	On compressing frequent patterns. Data Knowl. Eng. Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
2007	J	`jnl`	Semantic annotation of frequent patterns. ACM Trans. Knowl. Discov. Data Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai
2006	A*	`conf`	AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. ICDM Hong Cheng, Philip S. Yu, Jiawei Han
2006	A*	`conf`	Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach. VLDB Dong Xin, Jiawei Han, Hong Cheng, Xiaolei Li
2006	A*	`conf`	Extracting redundancy-aware top-k patterns. KDD Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
2006	A*	`conf`	Generating semantic annotations for frequent patterns with context analysis. KDD Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai
2005	A*	`conf`	Mining Compressed Frequent-Pattern Sets. VLDB Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
2005	A	`conf`	SeqIndex: Indexing Sequences by Sequential Pattern Analysis. SDM Hong Cheng, Xifeng Yan, Jiawei Han
2005	A*	`conf`	Summarizing itemset patterns: a profile-based approach. KDD Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
2004	A*	`conf`	IncSpan: incremental mining of sequential patterns in large database. KDD Hong Cheng, Xifeng Yan, Jiawei Han