| 2026 | ACL | Evolutionary Negative Module Pruning for Better LoRA Merging. | Anda Cao, Zhuo Gou, Yi Wang, Kaixuan Chen, Yu Wang, Can Wang, Mingli Song, Jie Song |
| 2026 | ICDE | Cascading Relevance-Driven Recommendation Network for CTR Prediction in Trigger-Introduced Recommendation. | Kaixuan Chen, Wenwen Wang, Xing Fang, Yang Huang, Jing Wang |
| 2025 | AAAI | Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning. | Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2025 | AAAI | Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location. | Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen, Tongya Zheng, Mingli Song |
| 2025 | AAAI | Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL. | Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu |
| 2025 | ICASSP | Spatial-Temporal Reconstruction Error for AIGC-based Forgery Image Detection. | Chengji Shen, Zhenjiang Liu, Kaixuan Chen, Jie Lei, Mingli Song, Zunlei Feng |
| 2025 | ICLR | From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks. | Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu |
| 2025 | IJCAI | CADP: Towards Better Centralized Learning for Decentralized Execution in MARL. | Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song |
| 2025 | KDD | Powerformer: A Section-adaptive Transformer for Power Flow Adjustment. | Kaixuan Chen, Wei Luo, Shunyu Liu, Yaoquan Wei, Yihe Zhou, Yunpeng Qing, Quan Zhang, Yong Wang, Jie Song, Mingli Song |
| 2024 | AAAI | KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding. | Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang |
| 2024 | ECAI | Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation. | Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song |
| 2024 | ICASSP | Semantic-Guided Network with Contrastive Learning for Video Caption. | Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang |
| 2024 | KDD | Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks. | Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song |
| 2023 | AAAI | Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition. | Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song |
| 2023 | ECAI | Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Tickets. | Yuwen Wang, Shunyu Liu, Kaixuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song |
| 2023 | ICIP | Semantic Learning Network for Controllable Video Captioning. | Kaixuan Chen, Qianji Di, Yang Lu, Hanzi Wang |
| 2023 | ICLR | Message-passing Selection: Towards Interpretable GNNs for Graph Classification. | Wenda Li, Kaixuan Chen, Shunyu Liu, Wenjie Huang, Haofei Zhang, Mingli Song, Yingjie Tian, Yun Su |
| 2023 | ICLR | Schema Inference for Interpretable Image Classification. | Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song |
| 2023 | ICML | Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. | Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao |
| 2023 | KDD | Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization. | Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song |
| 2023 | SENSYS | Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. | Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim |
| 2022 | IJCNN | Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. | Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song |
| 2019 | AAAI | Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. | Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang |
| 2019 | ICDM | Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. | Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li |
| 2019 | ICDM | Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. | Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang |
| 2019 | IJCAI | Multi-agent Attentional Activity Recognition. | Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu |
| 2018 | CIKM | Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. | Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang |
| 2018 | IJCNN | Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. | Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang |
| 2018 | PAKDD | Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. | Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah |