| 2026 | ICDE | DNA: A Distribution-and-Aggregation Solution for Spatiotemporal K-Function-Based Analysis. | Tsz Nam Chan, Bojian Zhu, Dingming Wu, Renchi Yang, Ruisheng Wang |
| 2026 | KDD | Signed Proximity Matters in Graph-based Recommendation. | Yifan Song, Renchi Yang, Jing Tang |
| 2026 | KDD | Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering. | Haoran Zheng, Renchi Yang, Hongtao Wang, Jianliang Xu |
| 2026 | KDD | Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization. | Haoran Zheng, Renchi Yang, Yubo Zhou, Jianliang Xu |
| 2026 | SIGIR | Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems. | Runhao Jiang, Renchi Yang, Donghao Wu |
| 2026 | WSDM | NILC: Discovering New Intents with LLM-assisted Clustering. | Hongtao Wang, Renchi Yang, Wenqing Lin |
| 2025 | AAAI | GraSP: Simple Yet Effective Graph Similarity Predictions. | Haoran Zheng, Jieming Shi, Renchi Yang |
| 2025 | CIKM | Community-Aware Social Community Recommendation. | Runhao Jiang, Renchi Yang, Wenqing Lin |
| 2025 | CIKM | GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. | Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2025 | CIKM | Cequel: Cost-Effective Querying of Large Language Models for Text Clustering. | Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu |
| 2025 | ICDE | Adaptive Local Clustering Over Attributed Graphs. | Haoran Zheng, Renchi Yang, Jianliang Xu |
| 2025 | KDD | Simple yet Effective Graph Distillation via Clustering. | Yurui Lai, Taiyan Zhang, Renchi Yang |
| 2025 | KDD | Spectral Subspace Clustering for Attributed Graphs. | Xiaoyang Lin, Renchi Yang, Haoran Zheng, Xiangyu Ke |
| 2025 | KDD | Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities. | Jiancheng Ruan, Tingyang Chen, Renchi Yang, Xiangyu Ke, Yunjun Gao |
| 2025 | WWW | Diffusion-based Graph-agnostic Clustering. | Kun Xie, Renchi Yang, Sibo Wang |
| 2025 | SIGIR | SAFT: Structure-aware Transformers for Textual Interaction Classification. | Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu |
| 2025 | SIGIR | Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs. | Taiyan Zhang, Renchi Yang, Yurui Lai, Mingyu Yan, Xiaochun Ye, Dongrui Fan |
| 2024 | KDD | Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks. | Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang |
| 2024 | KDD | Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs. | Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2024 | KDD | Effective Clustering on Large Attributed Bipartite Graphs. | Renchi Yang, Yidu Wu, Xiaoyang Lin, Qichen Wang, Tsz Nam Chan, Jieming Shi |
| 2023 | DaWaK | Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations. | Hewen Wang, Renchi Yang, Jieming Shi |
| 2023 | ICML | SlotGAT: Slot-based Message Passing for Heterogeneous Graphs. | Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li |
| 2023 | KDD | Efficient and Effective Edge-wise Graph Representation Learning. | Hewen Wang, Renchi Yang, Keke Huang, Xiaokui Xiao |
| 2023 | KDD | Efficient Approximation Algorithms for Spanning Centrality. | Shiqi Zhang, Renchi Yang, Jing Tang, Xiaokui Xiao, Bo Tang |
| 2023 | WWW | Node-wise Diffusion for Scalable Graph Learning. | Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao |
| 2022 | WWW | Efficient and Effective Similarity Search over Bipartite Graphs. | Renchi Yang |
| 2022 | SIGMOD | Scalable and Effective Bipartite Network Embedding. | Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao |
| 2021 | WWW | Effective and Scalable Clustering on Massive Attributed Graphs. | Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao |
| 2021 | WISE | Fast Approximate All Pairwise CoSimRanks via Random Projection. | Renchi Yang, Xiaokui Xiao |
| 2019 | SIGMOD | Efficient Estimation of Heat Kernel PageRank for Local Clustering. | Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li |
| 2017 | KDD | FORA: Simple and Effective Approximate Single-Source Personalized PageRank. | Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang |