| 2026 | WWW | DynaFLUX: Implicit Dynamics-Preserving Reinforcement Learning for Topology-Free Influence Maximization. | Daiyunke Zhang, Ting Deng, Tianchen Zhu, Shuai Ma, Daqing Li, Mingtian Peng, Feng Tian |
| 2025 | IJCAI | FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers. | Tianyu Chen, Haoyi Zhou, Ying Li, Hao Wang, Zhenzhe Zhang, Tianchen Zhu, Shanghang Zhang, Jianxin Li |
| 2024 | AAAI | Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning. | Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2023 | EACL | Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning. | Chunyang Jiang, Tianchen Zhu, Haoyi Zhou, Chang Liu, Ting Deng, Chunming Hu, Jianxin Li |
| 2023 | IJCAI | Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution. | Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li |
| 2022 | IWQoS | AIQoSer: Building the efficient Inference-QoS for AI Services. | Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu |
| 2022 | WSDM | MtCut: A Multi-Task Framework for Ranked List Truncation. | Dong Wang, Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qishan Zhu, Yuxin Wen, Hongming Piao |
| 2017 | APWEB | Measuring the Similarity of Nodes in Signed Social Networks with Positive and Negative Links. | Tianchen Zhu, Zhaohui Peng, Xinghua Wang, Xiaoguang Hong |
| 2017 | CSCWD | Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks. | Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong |
| 2015 | KSEM | Learning the Influence Probabilities Based on Multipolar Factors in Social Network. | Weibo Wang, Zhaohui Peng, Ziyan Liu, Tianchen Zhu, Xiaoguang Hong |