| 2025 | ACL | Digest the Knowledge: Large Language Models empowered Message Passing for Knowledge Graph Question Answering. | Junhong Wan, Tao Yu, Kunyu Jiang, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | CIKM | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting. | Tao Yu, Junhong Wan, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | CIKM | Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation. | Weihao Jiang, Yao Fu, Hong Zhao, Xiaoyu Cai, Ruiheng Yang, Linsen Li, Jiang Zhu |
| 2025 | SIGCOMM | Orderlock: A New Type of Deadlock and its Implications on High Performance Network Protocol Design. | Weihao Jiang, Wenli Xiao, Yuqing Yang, Peirui Cao, Shizhen Zhao |
| 2024 | CIKM | LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting. | Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu |
| 2024 | ICLR | Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model. | Hanni Cheng, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2024 | ICLR | Fast Updating Truncated SVD for Representation Learning with Sparse Matrices. | Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu |
| 2024 | IJCNN | Adaptive Distance-Aware Attention Models for Routing Problems. | Chao Zhang, Jinbiao Xing, Hui Wang, Kuangzheng Li, Weihao Jiang, Shiliang Pu |
| 2024 | KDD | SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. | Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren |
| 2024 | PAKDD | Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection. | Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang |
| 2023 | AISTATS | Select and Optimize: Learning to aolve large-scale TSP instances. | Hanni Cheng, Haosi Zheng, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. | Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. | Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. | Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang |
| 2023 | IJCNN | Evolution Strategies Enhanced Complex Multiagent Coordination. | Yunfei Du, Yin Wang, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | IJCNN | Cooperation Skill Motivated Reinforcement Learning for Traffic Signal Control. | Jie Xin, Jing Zeng, Ya Cong, Weihao Jiang, Shiliang Pu |
| 2023 | KDD | Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds. | Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang |
| 2023 | KDD | PROSE: Graph Structure Learning via Progressive Strategy. | Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu |
| 2022 | CIKM | Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. | Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu |
| 2022 | CIKM | Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. | Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu |
| 2022 | IJCAI | Can Abnormality be Detected by Graph Neural Networks? | Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang |
| 2022 | IJCNN | Graph Intention Neural Network for Knowledge Graph Reasoning. | Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu |
| 2022 | IJCNN | Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. | Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu |
| 2022 | PAKDD | Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. | Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu |
| 2022 | PAKDD | Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. | Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai |
| 2020 | ICTAI | Preference-aware Heterogeneous Graph Neural Networks for Recommendation. | Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu |