| 2026 | AAAI | Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation. | Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou |
| 2026 | DASFAA | Disentanglement-Based Contrastive Learning and Optimization for User Identity Linkage. | Yue Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou, Wengen Li |
| 2026 | WWW | Generative Regression Based Watch Time Prediction for Short-Video Recommendation. | Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Han Zhou, Chenghou Jin, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou |
| 2025 | CVPR | Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space. | Yi Liu, Wengen Li, Jihong Guan, Shuigeng Zhou, Yichao Zhang |
| 2025 | ICDE | CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract). | Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | IJCAI | Community-Aware Graph Transformer for Brain Disorder Identification. | Shengbing Pei, Jiajun Ma, Zhao Lv, Chao Zhang, Jihong Guan |
| 2025 | IJCAI | Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise. | Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou |
| 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 | KDD | Score-based Generative Modeling for Conditional Independence Testing. | Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | KDD | Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity. | Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2024 | AAAI | Weakly Supervised Few-Shot Object Detection with DETR. | Chenbo Zhang, Yinglu Zhang, Lu Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou |
| 2024 | ACCV | Hi-NeRF: Hybridizing 2D Inpainting with Neural Radiance Fields for 3D Scene Inpainting. | Xianliang Huang, Shuhang Chen, Zhizhou Zhong, Jiajie Gou, Jihong Guan, Shuigeng Zhou |
| 2024 | AISTATS | Learning Adaptive Kernels for Statistical Independence Tests. | Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2024 | ICASSP | Multivariate Time Series Forecasting with Causal-Temporal Attention Network. | Wenbo Liu, Yifan He, Jihong Guan, Shuigeng Zhou |
| 2024 | ICASSP | Video Anomaly Prediction: Problem, Dataset and Method. | Yang Wang, Jun Xu, Jiaogen Zhou, Jihong Guan |
| 2024 | ICASSP | Tail Classes Matter: Long-Tailed Object Detection Revisited. | Yinglu Zhang, Chenbo Zhang, Lu Zhang, Tianying Liu, Jihong Guan, Xinkai Liang, Jiajia Zhao, Shuigeng Zhou |
| 2024 | ICDM | Weakly-Supervised Graph Classification with Even a Single Key Subgraph Per Class. | Lu Zhang, Chenbo Zhang, Jihong Guan, Shuigeng Zhou |
| 2024 | IJCAI | All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). | Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan |
| 2023 | AAAI | Differentially Private Nonlinear Causal Discovery from Numerical Data. | Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou |
| 2023 | AAAI | Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance. | Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou |
| 2023 | APWEB | Identifying Backdoor Attacks in Federated Learning via Anomaly Detection. | Yuxi Mi, Yiheng Sun, Jihong Guan, Shuigeng Zhou |
| 2023 | ICCV | Meta-ZSDETR: Zero-shot DETR with Meta-learning. | Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou |
| 2023 | ICDM | Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance. | Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou |
| 2023 | KDD | All in One: Multi-Task Prompting for Graph Neural Networks. | Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan |
| 2022 | AAAI | Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. | Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2022 | CIKM | Fusing Geometric and Scene Information for Cross-View Geo-Localization. | Siyuan Guo, Tianying Liu, Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2022 | CIKM | BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. | Wanyang Xu, Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2022 | ICASSP | Multi-Modal Learning with Text Merging for TEXTVQA. | Changsheng Xu, Zhenlong Xu, Yifan He, Shuigeng Zhou, Jihong Guan |
| 2022 | NAACL | EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification. | Minyi Zhao, Lu Zhang, Yi Xu, Jiandong Ding, Jihong Guan, Shuigeng Zhou |
| 2022 | WACV | Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities. | Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou |
| 2021 | AAAI | Testing Independence Between Linear Combinations for Causal Discovery. | Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang |
| 2021 | APWEB | FedMDR: Federated Model Distillation with Robust Aggregation. | Yuxi Mi, Yutong Mu, Shuigeng Zhou, Jihong Guan |
| 2021 | CVPR | Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss. | Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang |
| 2021 | IJCNN | RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection. | Tianying Liu, Yang Wang, Siyun Hou, Wengen Li, Jihong Guan, Shuigeng Zhou, Rufu Qin |
| 2020 | AAAI | Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance. | Kai Tian, Yi Xu, Jihong Guan, Shuigeng Zhou |
| 2020 | DASFAA | Optimal Trade Execution Based on Deep Deterministic Policy Gradient. | Zekun Ye, Weijie Deng, Shuigeng Zhou, Yi Xu, Jihong Guan |
| 2019 | AAAI | Learning Competitive and Discriminative Reconstructions for Anomaly Detection. | Kai Tian, Shuigeng Zhou, Jianping Fan, Jihong Guan |
| 2019 | AAAI | Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test. | Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang |
| 2019 | CVPR | Versatile Multiple Choice Learning and Its Application to Vision Computing. | Kai Tian, Yi Xu, Shuigeng Zhou, Jihong Guan |
| 2019 | PRICAI | Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning. | Fan Wu, Shuigeng Zhou, Kang Wang, Yi Xu, Jihong Guan, Jun Huan |
| 2018 | AAAI | Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery. | Hao Zhang, Shuigeng Zhou, Jihong Guan |
| 2018 | ICDE | Efficient Retrieval of Bounded-Cost Informative Routes. | Wengen Li, Jiannong Cao, Jihong Guan, Man Lung Yiu, Shuigeng Zhou |
| 2017 | AAAI | Causal Discovery Using Regression-Based Conditional Independence Tests. | Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2017 | DASFAA | Supporting Cost-Efficient Multi-tenant Database Services with Service Level Objectives (SLOs). | Yifeng Luo, Junshi Guo, Jiaye Zhu, Jihong Guan, Shuigeng Zhou |
| 2017 | DEXA | A Graph Matching Based Method for Dynamic Passenger-Centered Ridesharing. | Jia Shi, Yifeng Luo, Shuigeng Zhou, Jihong Guan |
| 2017 | ICTAI | Gaussian Weighting Reversion Strategy for Accurate On-Line Portfolio Selection. | Zekun Ye, Kai Huang, Shuigeng Zhou, Jihong Guan |
| 2017 | UCC | Role of Individual Activity in Rumor Spreading in Scale-free Networks. | Yichao Zhang, Minmin Xiong, Yanwei Xu, Jihong Guan, Shuigeng Zhou |
| 2015 | DASFAA | Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models. | Yifu Huang, Shuigeng Zhou, Kai Huang, Jihong Guan |
| 2015 | UIC | Knowledge Diffusion in Complex Networks. | Yichao Zhang, M. A. Aziz-Alaoui, Cyrille Bertelle, Jihong Guan, Shuigeng Zhou |
| 2014 | DASFAA | Efficiently Evaluating Range-Constrained Spatial Keyword Query on Road Networks. | Wengen Li, Jihong Guan, Shuigeng Zhou |
| 2014 | EDBT | Distributed Spatial Keyword Querying on Road Networks. | Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan |
| 2014 | FAW | Calculating the Crossing Probability on the Square Tessellation of a Connection Game with Random Move Order: The Algorithm and Its Complexity. | Yi Yang, Shuigeng Zhou, Jihong Guan |
| 2013 | ICDE | KORS: Keyword-aware Optimal Route Search System. | Xin Cao, Lisi Chen, Gao Cong, Jihong Guan, Nhan-Tue Phan, Xiaokui Xiao |
| 2013 | KSEM | A Nonlinear Dimension Reduction Method with Both Distance and Neighborhood Preservation. | Chao Tan, Chao Chen, Jihong Guan |
| 2013 | RECOMB | Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties - (Extended Abstract). | Lei Deng, Jihong Guan, Xiaoming Wei, Yuan Yi, Shuigeng Zhou |
| 2012 | ADMA | Constrained Spectral Clustering Using Absorbing Markov Chains. | Jianyuan Li, Jihong Guan |
| 2012 | ADMA | A New Manifold Learning Algorithm Based on Incremental Spectral Decomposition. | Chao Tan, Jihong Guan |
| 2012 | ADMA | Properly and Automatically Naming Java Methods: A Machine Learning Based Approach. | Shusi Yu, Ruichang Zhang, Jihong Guan |
| 2012 | DASFAA | Scalable Top-k Keyword Search in Relational Databases. | Yanwei Xu, Jihong Guan, Yoshiharu Ishikawa |
| 2012 | PRICAI | A Feature Space Alignment Learning Algorithm. | Chao Tan, Jihong Guan |
| 2011 | DASFAA | Towards Efficient Subgraph Search in Cloud Computing Environments. | Yifeng Luo, Jihong Guan, Shuigeng Zhou |
| 2011 | DASFAA | Adapting Skyline Computation to the MapReduce Framework: Algorithms and Experiments. | Boliang Zhang, Shuigeng Zhou, Jihong Guan |
| 2009 | APWEB | Effective Top- | Yanwei Xu, Yoshiharu Ishikawa, Jihong Guan |
| 2009 | BIBE | Empirical Probability Functions Derived from Dihedral Angles for Protein Structure Prediction. | Qiwen Dong, Xin Geng, Shuigeng Zhou, Jihong Guan |
| 2009 | ICPADS | Towards Keyword Search over Relational Databases in DHT Networks. | Jian Yu, Jihong Guan, Jianliang Xu, Shuigeng Zhou |
| 2007 | EWSN | Towards Energy-Efficient Skyline Monitoring in Wireless Sensor Networks. | Hekang Chen, Shuigeng Zhou, Jihong Guan |
| 2007 | ICDE | GPress: Towards Effective GML Documents Compresssion. | Jihong Guan, Shuigeng Zhou |
| 2007 | MDAI | CWC: A Clustering-Based Feature Weighting Approach for Text Classification. | Lin Zhu, Jihong Guan, Shuigeng Zhou |
| 2006 | PAKDD | gTRICLUSTER: A More General and Effective 3D Clustering Algorithm for Gene-Sample-Time Microarray Data. | Haoliang Jiang, Shuigeng Zhou, Jihong Guan, Ying Zheng |
| 2005 | PAKDD | A Neighborhood-Based Clustering Algorithm. | Shuigeng Zhou, Yue Zhao, Jihong Guan, Joshua Zhexue Huang |
| 2005 | SIGIR | On redundancy of training corpus for text categorization: a perspective of geometry. | Shuigeng Zhou, Jihong Guan |
| 2004 | ER | Preface to CoMoGIS 2004. | Jihong Guan |
| 2003 | DASFAA | Fast Text Classification: A Training-Corpus Pruning Based Approac. | Shuigeng Zhou, Tok Wang Ling, Jihong Guan, Jiangtao Hu, Aoying Zhou |
| 2003 | WISE | Distributed geo-referenced information accessing and integrating based on mobile agents and GML. | Jihong Guan, Shuigeng Zhou |
| 2002 | ADBIS | An Approach to Improve Text Classification Efficiency. | Shuigeng Zhou, Jihong Guan |
| 2002 | CICLING | Chinese Documents Classification Based on N-Grams. | Shuigeng Zhou, Jihong Guan |
| 2002 | DEXA | Pruning Training Corpus to Speedup Text Classification. | Jihong Guan, Shuigeng Zhou |
| 2002 | NLDB | Evaluation and Construction of Training Corpuses for Text Classification: A Preliminary Study. | Shuigeng Zhou, Jihong Guan |
| 2001 | CoopIS | Mobile-Agent Based Distributed Web GIS. | Jihong Guan, Shuigeng Zhou, Aoying Zhou |