| 2026 | AAAI | ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation. | Shu Wang, Yixiang Fang, Yingli Zhou, Xilin Liu, Yuchi Ma |
| 2026 | ICDE | Clue-RAG: Towards Accurate and Cost-Efficient Graph-Based RAG Via Multi-Partite Graph-Based Index. | Yaodong Su, Yixiang Fang, Yingli Zhou, Chuanhui Yang |
| 2026 | KDD | Accelerated Coordinate Descent for Directed Densest Subgraph Discovery. | Luocheng Liang, Yingli Zhou, Yixiang Fang |
| 2025 | AAAI | Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal. | Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li |
| 2025 | WWW | Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. | Yankai Chen, Taotao Wang, Yixiang Fang, Yunyu Xiao |
| 2025 | WWW | TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. | Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma |
| 2025 | VLDB | LLM+Graph: 2nd International Workshop on Data Management Opportunities in Bringing LLMs with Graph Data. | Yixiang Fang, Arijit Khan, Tianxing Wu, Da Yan |
| 2024 | AAAI | Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. | Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King |
| 2024 | AAAI | Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. | Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li |
| 2024 | AAAI | Influential Exemplar Replay for Incremental Learning in Recommender Systems. | Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King |
| 2024 | CIKM | Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. | Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu |
| 2024 | ICDE | Efficient Core Decomposition Over Large Heterogeneous Information Networks. | Yucan Guo, Chenhao Ma, Yixiang Fang |
| 2024 | WWW | A Similarity-based Approach for Efficient Large Quasi-clique Detection. | Jiayang Pang, Chenhao Ma, Yixiang Fang |
| 2023 | ICDE | Scalable Algorithms for Densest Subgraph Discovery. | Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou |
| 2023 | ICDE | Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches. | Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li |
| 2023 | WWW | Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. | Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King |
| 2022 | ICDE | Constrained Path Search with Submodular Function Maximization. | Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng |
| 2022 | ICDE | Estimating Node Importance Values in Heterogeneous Information Networks. | Chenji Huang, Yixiang Fang, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria E. Orlowska |
| 2022 | SIGMOD | A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han |
| 2021 | CIKM | Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model. | Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang |
| 2021 | CIKM | Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. | Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang |
| 2021 | SIGMOD | Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions. | Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang |
| 2020 | ICDE | ESPM: Efficient Spatial Pattern Matching (Extended Abstract). | Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang |
| 2020 | ICDE | MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. | Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin |
| 2020 | ICDE | Effective and Efficient Truss Computation over Large Heterogeneous Information Networks. | Yixing Yang, Yixiang Fang, Xuemin Lin, Wenjie Zhang |
| 2020 | IJCAI | Optimal Region Search with Submodular Maximization. | Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao |
| 2020 | IJCAI | Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. | Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King |
| 2020 | IJCAI | Inductive Link Prediction for Nodes Having Only Attribute Information. | Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang |
| 2020 | SIGMOD | Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin |
| 2019 | DASFAA | Structured Spectral Clustering of PurTree Data. | Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao |
| 2019 | ICDE | Exploring Communities in Large Profiled Graphs (Extended Abstract). | Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang |
| 2019 | ICDE | Effective and Efficient Community Search Over Large Directed Graphs (Extended Abstract). | Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu |
| 2019 | ICDE | Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. | Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam |
| 2019 | ICDE | Efficient Parallel Computing of Graph Edit Distance. | Ran Wang, Yixiang Fang, Xing Feng |
| 2018 | EDBT | Scalable Evaluation of k-NN Queries on Large Uncertain Graphs. | Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu |
| 2018 | ICDE | On Spatial Pattern Matching. | Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li |
| 2018 | ICDE | SpaceKey: Exploring Patterns in Spatial Databases. | Yixiang Fang, Reynold Cheng, Jikun Wang, Lukito Budiman, Gao Cong, Nikos Mamoulis |
| 2017 | CIKM | On Embedding Uncertain Graphs. | Jiafeng Hu, Reynold Cheng, Zhipeng Huang, Yixiang Fang, Siqiang Luo |
| 2017 | VLDB | On Attributed Community Search. | Yixiang Fang, Reynold Cheng |
| 2016 | CIKM | Querying Minimal Steiner Maximum-Connected Subgraphs in Large Graphs. | Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang |
| 2016 | ICDE | Scalable algorithms for nearest-neighbor joins on big trajectory data. | Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan S. Yang |