| 2026 | ACL | Understanding the Behaviors of Environment-aware Information Retrieval. | Ruifeng Yuan, Chaohao Yuan, David Dai, Yu Rong, Hong Cheng, Hou Pong Chan, Chenghao Xiao |
| 2026 | WSDM | ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. | Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong |
| 2025 | ACL | Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. | Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua |
| 2025 | CVPR | MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification. | Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Yang Zhao, Hong Cheng, Huazhu Fu |
| 2025 | EMNLP | MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval. | Xixi Wu, Yanchao Tan, Nan Hou, Ruiyang Zhang, Hong Cheng |
| 2025 | ICML | IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. | Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li |
| 2025 | ICML | Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis. | Qunzhong Wang, Xiangguo Sun, Hong Cheng |
| 2025 | ICML | When Do LLMs Help With Node Classification? A Comprehensive Analysis. | Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng |
| 2025 | IJCAI | Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags. | Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou |
| 2025 | IJCNN | KneeMamba: A Multi-level Feature Extraction Model for Knee MRI Assisted Diagnosis with Mamba. | Zonghai Huang, Jiatong Si, Jingting Zhang, Fengjun Mu, Rui Huang, Hong Cheng |
| 2025 | IROS | A VisuoMotor Human-Robot Interaction Framework for Attention-Motion-Integrated Training. | Chen Chen, Shuhe Yuan, Jingting Zhang, Fengjun Mu, Chaobin Zou, Hong Cheng |
| 2025 | IROS | Force-Sensor-free Contact Estimation for Lower Limb Exoskeleton Robots Based on Probabilistic Modeling and Fusion. | Weigen Ye, Xinhao Zhang, Ziyi Jiang, Chaobin Zou, Jingting Zhang, Guangkui Song, Hong Cheng |
| 2025 | IROS | Engaging Mind and Body: An Immersive BCI Paradigm with Motion-Panoramic Virtual Reality. | Lianchi Zhang, Mengxi Lei, Jingting Zhang, Zonghai Huang, Rui Huang, Hong Cheng |
| 2025 | ICRA | Plug-and-Play Multi-Domain Fusion Adaptation for Cross-Subject EEG-Based Motor Imagery Classification. | Kecheng Shi, Rui Huang, Zhe Li, Jianzhi Lyu, Yang Zhao, Guangkui Song, Hong Cheng, Jianwei Zhang |
| 2025 | KDD | Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting. | Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li |
| 2025 | NAACL | DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation. | Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu |
| 2025 | NAACL | Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. | Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi |
| 2025 | RecSys | Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi |
| 2025 | SIGIR | Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi |
| 2024 | ACL | Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics. | Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson |
| 2024 | CIKM | Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. | Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng |
| 2024 | CIKM | When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. | Zhiyao Shu, Xiangguo Sun, Hong Cheng |
| 2024 | CIKM | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | COLING | PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. | Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong |
| 2024 | ECCV | FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection. | Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zicheng Jiao, Hong Cheng |
| 2024 | EMNLP | LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement. | Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong |
| 2024 | ICLR | Protein Multimer Structure Prediction via Prompt Learning. | Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li |
| 2024 | IJCAI | A Survey of Graph Meets Large Language Model: Progress and Future Directions. | Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu |
| 2024 | IJCAI | All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). | Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan |
| 2024 | ICRA | Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation. | Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng |
| 2024 | IGARSS | PM2.5 Concentration Hourly Multi-Step Prediction Using Spatial-Temporal Synchronous Graph Convolution Network. | Hong Cheng, Hong Fan |
| 2024 | KDD | Graph Intelligence with Large Language Models and Prompt Learning. | Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu |
| 2024 | KDD | All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. | Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li |
| 2024 | VTC | Perception Assisted Millimeter Wave Beam Management for 5G/6G Connected Vehicles. | Mahmoud Ashour, Himaja Kesavareddigari, Kapil Gulati, Hong Cheng, Gene W. Marsh, Shailesh Patil |
| 2024 | VTC | Considerations for Distributed Deployment of 5G NR V2X. | Gabi Sarkis, Dan Vassilovski, Ahmed Farhan Hanif, Tien Viet Nguyen, Hong Cheng, Shuanshuan Wu, Shailesh Patil, Gene W. Marsh |
| 2024 | SERA | Multi-Class Label Detection and Bounding Box Regression Using Transformer with a Customized Loss Function. | Hong Cheng, Rupesh Konduru |
| 2023 | GECCO | Learning Behavior Trees by Evolution-Inspired Approaches. | Chuanshuai Deng, Chenjing Zhao, Zhenghui Liu, Jiexin Zhang, Yunlong Wu, Yanzhen Wang, Hong Cheng, Xiaodong Yi |
| 2023 | HCI | The Effect of Transparency on Human-Exoskeleton Interaction. | Yilin Wang, Jing Qiu, Hong Cheng, Xiuying Hu, Peng Xu, Jingming Hou, Hongqin Xie |
| 2023 | ICASSP | Contrastive Learning with Dialogue Attributes for Neural Dialogue Generation. | Jie Tan, Hengyi Cai, Hongshen Chen, Hong Cheng, Helen Meng, Zhuoye Ding |
| 2023 | ICDE | Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. | Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng |
| 2023 | ICRA | A Dual-Arm Participated Human-Robot Collaboration Method for Upper Limb Rehabilitation of Hemiplegic Patients. | Lufeng Chen, Jing Qiu, Xuan Zou, Hong Cheng |
| 2023 | Interspeech | Emotional Voice Conversion with Semi-Supervised Generative Modeling. | Hai Zhu, Huayi Zhan, Hong Cheng, Ying Wu |
| 2023 | KDD | All in One: Multi-Task Prompting for Graph Neural Networks. | Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan |
| 2022 | ACCV | Depth Estimation via Sparse Radar Prior and Driving Scene Semantics. | Ke Zheng, Shuguang Li, Kongjian Qin, Zhenxu Li, Yang Zhao, Zhinan Peng, Hong Cheng |
| 2022 | ACL | Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations. | Chun Hei Lo, Wai Lam, Hong Cheng |
| 2022 | ACL | On Controlling Fallback Responses for Grounded Dialogue Generation. | Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | ICDE | Clustering Activation Networks. | Zijin Feng, Miao Qiao, Hong Cheng |
| 2022 | IROS | Human-exoskeleton Cooperative Balance Strategy for a Human-powered Augmentation Lower Exoskeleton. | Guangkui Song, Rui Huang, Zhinan Peng, Kecheng Shi, Long Zhang, Rong He, Jing Qiu, Huayi Zhan, Hong Cheng |
| 2022 | IROS | Attention-Based Deep Driving Model for Autonomous Vehicles with Surround-View Cameras. | Yang Zhao, Jie Li, Rui Huang, Boqi Li, Ao Luo, Yaochen Li, Hong Cheng |
| 2022 | ICRA | A Novel Multimodal Human-Exoskeleton Interface Based on EEG and sEMG Activity for Rehabilitation Training. | Kecheng Shi, Rui Huang, Fengjun Mu, Zhinan Peng, Ke Huang, Yizhe Qin, Xiao Yang, Hong Cheng |
| 2022 | NAACL | Partner Personas Generation for Dialogue Response Generation. | Hongyuan Lu, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | WWW | User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. | Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng |
| 2021 | CVPR | Probabilistic Model Distillation for Semantic Correspondence. | Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu |
| 2021 | CVPR | Mutual Graph Learning for Camouflaged Object Detection. | Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan |
| 2021 | HCI | A Prospective Study of Haptic Feedback Method on a Lower-Extremity Exoskeleton. | Yilin Wang, Jing Qiu, Hong Cheng, Lu Wang |
| 2021 | ICCV | Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection. | Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, Deng-Ping Fan |
| 2021 | ICDE | Fast Distributed Complex Join Processing. | Hao Zhang, Miao Qiao, Jeffrey Xu Yu, Hong Cheng |
| 2021 | IROS | Estimating the Center of Mass of Human-Exoskeleton Systems with Physically Coupled Serial Chain. | Rui Huang, Zhinan Peng, Siying Guo, Kecheng Shi, Chaobin Zou, Jing Qiu, Hong Cheng |
| 2021 | IROS | TemporalFusion: Temporal Motion Reasoning with Multi-Frame Fusion for 6D Object Pose Estimation. | Fengjun Mu, Rui Huang, Ao Luo, Xin Li, Jing Qiu, Hong Cheng |
| 2021 | IROS | Synergetic Gait Prediction for Stroke Rehabilitation with Varying Walking Speeds. | Chaobin Zou, Rui Huang, Zhinan Peng, Jing Qiu, Hong Cheng |
| 2021 | WWW | Mask-GVAE: Blind Denoising Graphs via Partition. | Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng |
| 2021 | SIGMOD | Graph Iso/Auto-morphism: A Divide-&-Conquer Approach. | Can Lu, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng |
| 2020 | AAAI | Hybrid Graph Neural Networks for Crowd Counting. | Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng |
| 2020 | ECCV | Cascade Graph Neural Networks for RGB-D Salient Object Detection. | Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu |
| 2020 | ICDE | Shortest Path Queries for Indoor Venues with Temporal Variations. | Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu |
| 2020 | ICRA | Data-Driven Reinforcement Learning for Walking Assistance Control of a Lower Limb Exoskeleton with Hemiplegic Patients. | Zhinan Peng, Rui Luo, Rui Huang, Jiangping Hu, Kecheng Shi, Hong Cheng, Bijoy Kumar Ghosh |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | WWW | Adversarial Attack on Community Detection by Hiding Individuals. | Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang |
| 2019 | FIE | Developing Critical Information Literacy in First-Year Engineering Students. | Jeffrey Kastner, Hong Cheng |
| 2019 | ICDE | Computing a Near-Maximum Independent Set in Dynamic Graphs. | Weiguo Zheng, Chengzhi Piao, Hong Cheng, Jeffrey Xu Yu |
| 2019 | IROS | End-to-End Driving Model for Steering Control of Autonomous Vehicles with Future Spatiotemporal Features. | Tianhao Wu, Ao Luo, Rui Huang, Hong Cheng, Yang Zhao |
| 2019 | ICRA | Adaptive Gait Planning for Walking Assistance Lower Limb Exoskeletons in Slope Scenarios. | Chaobin Zou, Rui Huang, Hong Cheng, Qiming Chen, Jing Qiu |
| 2019 | KDD | Predicting Path Failure In Time-Evolving Graphs. | Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan |
| 2019 | WWW | Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. | Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang |
| 2018 | AAAI | Multi-Scale Bidirectional FCN for Object Skeleton Extraction. | Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li |
| 2018 | DASFAA | Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks. | Siyuan Zhang, Hong Cheng |
| 2018 | DASFAA | Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. | Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang |
| 2018 | ECCV | Contour Knowledge Transfer for Salient Object Detection. | Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen |
| 2018 | ICDE | VizCS: Online Searching and Visualizing Communities in Dynamic Graphs. | Yuli Jiang, Xin Huang, Hong Cheng, Jeffrey Xu Yu |
| 2018 | ICDE | Efficient Computation of a Near-Maximum Independent Set over Evolving Graphs. | Weiguo Zheng, Qichen Wang, Jeffrey Xu Yu, Hong Cheng, Lei Zou |
| 2018 | IROS | Learning-based Walking Assistance Control Strategy for a Lower Limb Exoskeleton with Hemiplegia Patients. | Rui Huang, Zhinan Peng, Hong Cheng, Jiangping Hu, Jing Qiu, Chaobin Zou, Qiming Chen |
| 2018 | KDD | TATC: Predicting Alzheimer's Disease with Actigraphy Data. | Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng |
| 2017 | APWEB | Keyphrase Extraction Using Knowledge Graphs. | Wei Shi, Weiguo Zheng, Jeffrey Xu Yu, Hong Cheng, Lei Zou |
| 2017 | CIKM | PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. | Yingfan Liu, Hong Cheng, Jiangtao Cui |
| 2017 | CIKM | Minimizing Dependence between Graphs. | Yu Rong, Hong Cheng |
| 2017 | CIKM | Natural Language Question/Answering: Let Users Talk With The Knowledge Graph. | Weiguo Zheng, Hong Cheng, Lei Zou, Jeffrey Xu Yu, Kangfei Zhao |
| 2017 | CVPR | Object-Aware Dense Semantic Correspondence. | Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen |
| 2017 | DASFAA | Efficient Local Clustering Coefficient Estimation in Massive Graphs. | Hao Zhang, Yuanyuan Zhu, Lu Qin, Hong Cheng, Jeffrey Xu Yu |
| 2017 | IECON | Triple line-voltage cascaded VIENNA converter applied as the medium-voltage rectifier. | Jia Zou, Cong Wang, Hong Cheng, Linan Hou |
| 2017 | IECON | Revised topology and control strategy of three-phase cascaded bridgeless rectifier. | Cong Wang, Yuan Zhuang, Jiayi Kong, Changgeng Tian, Hong Cheng |
| 2017 | KDD | An Intelligent Customer Care Assistant System for Large-Scale Cellular Network Diagnosis. | Lujia Pan, Jianfeng Zhang, Patrick P. C. Lee, Hong Cheng, Cheng He, Caifeng He, Keli Zhang |
| 2017 | PAKDD | Mining Cohesive Clusters with Interpretations in Labeled Graphs. | Hongxia Du, Heli Sun, Jianbin Huang, Zhongbin Sun, Liang He, Hong Cheng |
| 2016 | ACCV | Multi-cue Information Fusion for Two-Layer Activity Recognition. | Yanli Ji, Jiaming Li, Hong Cheng, Xing Xu, Jingkuan Song |
| 2016 | CIKM | Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference. | Tianyi Lin, Siyuan Zhang, Hong Cheng |
| 2016 | CIKM | A Model-Free Approach to Infer the Diffusion Network from Event Cascade. | Yu Rong, Qiankun Zhu, Hong Cheng |
| 2016 | ICDE | TRIP: An interactive retrieving-inferring data imputation approach. | Zhixu Li, Lu Qin, Hong Cheng, Xiangliang Zhang, Xiaofang Zhou |
| 2016 | ICRA | Hierarchical Interactive Learning for a HUman-Powered Augmentation Lower EXoskeleton. | Rui Huang, Hong Cheng, Hongliang Guo, Qiming Chen, XiChuan Lin |
| 2016 | IROS | Learning Cooperative Primitives with physical Human-Robot Interaction for a HUman-powered Lower EXoskeleton. | Rui Huang, Hong Cheng, Hongliang Guo, XiChuan Lin, Qiming Chen, Fuchun Sun |
| 2016 | SIGMOD | Graph Analytics Through Fine-Grained Parallelism. | Zechao Shang, Feifei Li, Jeffrey Xu Yu, Zhiwei Zhang, Hong Cheng |
| 2015 | BMVC | Fast Online Upper Body Pose Estimation from Video. | Ming-Ching Chang, Honggang Qi, Xin Wang, Hong Cheng, Siwei Lyu |
| 2015 | IJCAI | Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm. | Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun |
| 2015 | IROS | Interactive learning for sensitivity factors of a human-powered augmentation lower exoskeleton. | Rui Huang, Hong Cheng, Qiming Chen, Huu-Toan Tran, XiChuan Lin |
| 2015 | KDD | Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. | Yu Rong, Hong Cheng, Zhiyu Mo |
| 2014 | CIKM | Robust Principal Component Analysis with Missing Data. | Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng |
| 2014 | CIKM | Latent Aspect Mining via Exploring Sparsity and Intrinsic Information. | Yinqing Xu, Tianyi Lin, Wai Lam, Zirui Zhou, Hong Cheng, Anthony Man-Cho So |
| 2014 | DSAA | Learning sparse and scale-free networks. | Melih S. Aslan, Xue-wen Chen, Hong Cheng |
| 2014 | DSAA | Pseudo labels for imbalanced multi-label learning. | Wenrong Zeng, Xue-wen Chen, Hong Cheng |
| 2014 | ICDE | Random-walk domination in large graphs. | Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng |
| 2014 | ICDM | Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. | Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng |
| 2014 | WWW | The dual-sparse topic model: mining focused topics and focused terms in short text. | Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng |
| 2014 | WWW | A Monte Carlo algorithm for cold start recommendation. | Yu Rong, Xiao Wen, Hong Cheng |
| 2014 | SIGMOD | Querying k-truss community in large and dynamic graphs. | Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, Jeffrey Xu Yu |
| 2014 | SIGMOD | Scalable big graph processing in MapReduce. | Lu Qin, Jeffrey Xu Yu, Lijun Chang, Hong Cheng, Chengqi Zhang, Xuemin Lin |
| 2014 | UAI | Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng |
| 2014 | SDM | Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong |
| 2013 | ICDE | Presenting diverse location views with real-time near-duplicate photo elimination. | Jiajun Liu, Zi Huang, Hong Cheng, Yueguo Chen, Heng Tao Shen, Yanchun Zhang |
| 2013 | WWW | Predicting positive and negative links in signed social networks by transfer learning. | Jihang Ye, Hong Cheng, Zhe Zhu, Minghua Chen |
| 2013 | SDM | What's Your Next Move: User Activity Prediction in Location-based Social Networks. | Hong Cheng, Jihang Ye, Zhe Zhu |
| 2012 | CIKM | Measuring robustness of complex networks under MVC attack. | Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang |
| 2012 | CIKM | Graph classification: a diversified discriminative feature selection approach. | Yuanyuan Zhu, Jeffrey Xu Yu, Hong Cheng, Lu Qin |
| 2012 | DASFAA | Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach. | Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan |
| 2012 | EDBT | Finding top-k similar graphs in graph databases. | Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Hong Cheng |
| 2012 | ICDE | Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme. | Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu |
| 2012 | ICDE | Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints. | Shaoxu Song, Lei Chen, Hong Cheng |
| 2012 | ICPR | A Pyramid Nearest Neighbor Search Kernel for object categorization. | Hong Cheng, Rongchao Yu, Zicheng Liu, Yiguang Liu |
| 2012 | IECON | Output short circuit spark discharging modeling of Quasi-Z-source buck converter. | Hong Cheng, Cong Wang, Jin-biao Zhu, Ge Biao |
| 2012 | SIGMOD | A model-based approach to attributed graph clustering. | Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng |
| 2012 | SDM | Robust Reputation-Based Ranking on Bipartite Rating Networks. | Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng |
| 2011 | EDBT | Mining closed discriminative dyadic sequential patterns. | David Lo, Hong Cheng, Lucia |
| 2011 | ICDM | ADANA: Active Name Disambiguation. | Xuezhi Wang, Jie Tang, Hong Cheng, Philip S. Yu |
| 2011 | SSDBM | Querying Shortest Path Distance with Bounded Errors in Large Graphs. | Miao Qiao, Hong Cheng, Jeffrey Xu Yu |
| 2010 | ADC | Stock risk mining by news. | Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke |
| 2010 | ICDM | Clustering Large Attributed Graphs: An Efficient Incremental Approach. | Yang Zhou, Hong Cheng, Jeffrey Xu Yu |
| 2010 | PAKDD | Mining Closed Episodes from Event Sequences Efficiently. | Wenzhi Zhou, Hongyan Liu, Hong Cheng |
| 2009 | EDBT | RankClus: integrating clustering with ranking for heterogeneous information network analysis. | Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu |
| 2009 | ICCV | Sparsity induced similarity measure for label propagation. | Hong Cheng, Zicheng Liu, Jie Yang |
| 2009 | ICIG | Phase Retrieval Using the Transport-of-Intensity Equation. | Hong Cheng, Hong Liu, Quan bing Zhang, Sui Wei |
| 2009 | ISSTA | Identifying bug signatures using discriminative graph mining. | Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan |
| 2009 | KDD | Classification of software behaviors for failure detection: a discriminative pattern mining approach. | David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun |
| 2009 | SDM | Near-optimal Supervised Feature Selection among Frequent Subgraphs. | Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt |
| 2008 | CVPR | A deformable local image descriptor. | Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang |
| 2008 | ICDE | Direct Discriminative Pattern Mining for Effective Classification. | Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu |
| 2008 | ICPR | Layered object categorization. | Lei Yang, Jie Yang, Nanning Zheng, Hong Cheng |
| 2008 | KDD | Direct mining of discriminative and essential frequent patterns via model-based search tree. | Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure |
| 2008 | PAKDD | Forward Semi-supervised Feature Selection. | Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, Philip S. Yu |
| 2008 | SIGMOD | BibNetMiner: mining bibliographic information networks. | Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao |
| 2008 | SIGMOD | Mining significant graph patterns by leap search. | Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu |
| 2008 | SDM | CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining. | Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, Jiawei Han |
| 2007 | ICDE | Discriminative Frequent Pattern Analysis for Effective Classification. | Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu |
| 2007 | ICDE | Mining Colossal Frequent Patterns by Core Pattern Fusion. | Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng |
| 2006 | ICDM | AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery. | Hong Cheng, Philip S. Yu, Jiawei Han |
| 2006 | ICPR | Boosted Gabor Features Applied to Vehicle Detection. | Hong Cheng, Nanning Zheng, Chong Sun |
| 2006 | ISNN | Vanishing Point and Gabor Feature Based Multi-resolution On-Road Vehicle Detection. | Hong Cheng, Nanning Zheng, Chong Sun, Huub van de Wetering |
| 2006 | KDD | Generating semantic annotations for frequent patterns with context analysis. | Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai |
| 2006 | KDD | Extracting redundancy-aware top-k patterns. | Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han |
| 2006 | VLDB | Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach. | Dong Xin, Jiawei Han, Hong Cheng, Xiaolei Li |
| 2005 | ISNN | Neural Network Based Online Feature Selection for Vehicle Tracking. | Tie Liu, Nanning Zheng, Hong Cheng |
| 2005 | KDD | Summarizing itemset patterns: a profile-based approach. | Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin |
| 2005 | VLDB | Mining Compressed Frequent-Pattern Sets. | Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng |
| 2005 | SDM | SeqIndex: Indexing Sequences by Sequential Pattern Analysis. | Hong Cheng, Xifeng Yan, Jiawei Han |
| 2004 | ISNN | Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road. | Qing Li, Nanning Zheng, Lin Ma, Hong Cheng |
| 2004 | KDD | IncSpan: incremental mining of sequential patterns in large database. | Hong Cheng, Xifeng Yan, Jiawei Han |
| 2003 | ICCBR | Case Mining from Large Databases. | Qiang Yang, Hong Cheng |
| 2003 | ICDM | Mining Plans for Customer-Class Transformation. | Qiang Yang, Hong Cheng |
| 2002 | ICDM | Mining Case Bases for Action Recommendation. | Qiang Yang, Hong Cheng |