| 2026 | WSDM | Bridge Breaking for Graph Neural Networks. | Wei Li, Jiaxing Xu, Xia Dong, Yiping Ke |
| 2025 | ICLR | Text4Seg: Reimagining Image Segmentation as Text Generation. | Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang |
| 2025 | ICLR | BrainOOD: Out-of-distribution Generalizable Brain Network Analysis. | Jiaxing Xu, Yongqiang Chen, Xia Dong, Mengcheng Lan, Tiancheng Huang, Qingtian Bian, James Cheng, Yiping Ke |
| 2025 | KDD | Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations. | Han Lei, Jiaxing Xu, Xia Dong, Yiping Ke |
| 2025 | MICCAI | BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification. | Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng |
| 2025 | WWW | ABXI: Invariant Interest Adaptation for Task-Guided Cross-Domain Sequential Recommendation. | Qingtian Bian, Marcus Vincius de Carvalho, Tieying Li, Jiaxing Xu, Hui Fang, Yiping Ke |
| 2024 | AAAI | Union Subgraph Neural Networks. | Jiaxing Xu, Aihu Zhang, Qingtian Bian, Vijay Prakash Dwivedi, Yiping Ke |
| 2024 | CIKM | Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. | Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao |
| 2024 | ECCV | ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference. | Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang |
| 2024 | ECCV | ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation. | Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang |
| 2024 | ICDE | Alleviating the Inconsistency of Multimodal Data in Cross-Modal Retrieval. | Tieying Li, Xiaochun Yang, Yiping Ke, Bin Wang, Yinan Liu, Jiaxing Xu |
| 2023 | CIKM | CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning. | Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke |
| 2021 | KDD | Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. | Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan |
| 2020 | AAAI | Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. | Tianbo Li, Yiping Ke |
| 2020 | CIKM | Succinct Adaptive Manifold Transfer. | Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong |
| 2019 | CIKM | Knowledge Transfer based on Multiple Manifolds Assumption. | Pengfei Wei, Yiping Ke |
| 2018 | ICDM | Transfer Hawkes Processes with Content Information. | Tianbo Li, Pengfei Wei, Yiping Ke |
| 2018 | ICDM | Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. | Pengfei Wei, Ramn Sagarna, Yiping Ke, Yew-Soon Ong |
| 2017 | ICDM | Domain Specific Feature Transfer for Hybrid Domain Adaptation. | Pengfei Wei, Yiping Ke, Chi-Keong Goh |
| 2017 | ICML | Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. | Pengfei Wei, Ramn Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh |
| 2017 | UAI | A Fast Algorithm for Matrix Eigen-decompositionn. | Zhiqiang Xu, Yiping Ke, Xin Gao |
| 2016 | CIKM | Effective and Efficient Spectral Clustering on Text and Link Data. | Zhiqiang Xu, Yiping Ke |
| 2016 | ICDE | Reachability and time-based path queries in temporal graphs. | Huanhuan Wu, Yuzhen Huang, James Cheng, Jinfeng Li, Yiping Ke |
| 2016 | IJCAI | Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. | Pengfei Wei, Yiping Ke, Chi Keong Goh |
| 2014 | ICDM | A Fast Inference Algorithm for Stochastic Blockmodel. | Zhiqiang Xu, Yiping Ke, Yi Wang |
| 2012 | KDD | Fast algorithms for maximal clique enumeration with limited memory. | James Cheng, Linhong Zhu, Yiping Ke, Shumo Chu |
| 2012 | SIGMOD | Efficient processing of distance queries in large graphs: a vertex cover approach. | James Cheng, Yiping Ke, Shumo Chu, Carter Cheng |
| 2012 | SIGMOD | A model-based approach to attributed graph clustering. | Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng |
| 2011 | CIKM | High efficiency and quality: large graphs matching. | Yuanyuan Zhu, Lu Qin, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin |
| 2011 | ICDE | Efficient core decomposition in massive networks. | James Cheng, Yiping Ke, Shumo Chu, M. Tamer zsu |
| 2010 | ADC | Stock risk mining by news. | Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping Ke |
| 2010 | DASFAA | Querying Large Graph Databases. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2010 | DASFAA | Detecting Leaders from Correlated Time Series. | Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen |
| 2010 | SIGMOD | Finding maximal cliques in massive networks by H*-graph. | James Cheng, Yiping Ke, Ada Wai-Chee Fu, Jeffrey Xu Yu, Linhong Zhu |
| 2009 | CIKM | Efficient processing of group-oriented connection queries in a large graph. | James Cheng, Yiping Ke, Wilfred Ng |
| 2009 | ICDE | Context-Aware Object Connection Discovery in Large Graphs. | James Cheng, Yiping Ke, Wilfred Ng, Jeffrey Xu Yu |
| 2009 | ICDM | Efficient Discovery of Frequent Correlated Subgraph Pairs. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2009 | SDM | Top-k Correlative Graph Mining. | Yiping Ke, James Cheng, Jeffrey Xu Yu |
| 2008 | ICDM | Spotting Significant Changing Subgraphs in Evolving Graphs. | Zheng Liu, Jeffrey Xu Yu, Yiping Ke, Xuemin Lin, Lei Chen |
| 2007 | DASFAA | Mining Vague Association Rules. | An Lu, Yiping Ke, James Cheng, Wilfred Ng |
| 2007 | KDD | Correlation search in graph databases. | Yiping Ke, James Cheng, Wilfred Ng |
| 2007 | SIGMOD | Fg-index: towards verification-free query processing on graph databases. | James Cheng, Yiping Ke, Wilfred Ng, An Lu |
| 2006 | ICDE | MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining. | Yiping Ke, James Cheng, Wilfred Ng |
| 2006 | ICDM | delta-Tolerance Closed Frequent Itemsets. | James Cheng, Yiping Ke, Wilfred Ng |
| 2006 | KDD | Mining quantitative correlated patterns using an information-theoretic approach. | Yiping Ke, James Cheng, Wilfred Ng |
| 2006 | PAKDD | Maintaining Frequent Itemsets over High-Speed Data Streams. | James Cheng, Yiping Ke, Wilfred Ng |
| 2004 | ER | WUML: A Web Usage Manipulation Language for Querying Web Log Data. | Qingzhao Tan, Yiping Ke, Wilfred Ng |