| 2026 | ACL | LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models. | Tianchun Li, Haochen Liu, Vishwa Pardeshi, Xingchen Wang, Tianci Liu, Huijun Zhao, Wei Fan, Jing Gao |
| 2026 | KDD | Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking. | Xingchen Wang, Feijie Wu, Chenglin Miao, Tianchun Li, Haoyu Hu, Qiming Cao, Jing Gao, Lu Su |
| 2025 | EMNLP | Towards Universal Debiasing for Language Models-based Tabular Data Generation. | Tianchun Li, Tianci Liu, Xingchen Wang, Rongzhe Wei, Pan Li, Lu Su, Jing Gao |
| 2025 | ICA3PP | MoMa-Pos: An Efficient Object-Kinematic-Aware Base Placement Determination Framework for Mobile Manipulation. | Beichen Shao, Nieqing Cao, Yan Ding, Xingchen Wang, Fuqiang Gu, Chao Chen |
| 2025 | ICLR | Towards Federated RLHF with Aggregated Client Preference for LLMs. | Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao |
| 2025 | SENSYS | RAM-Hand: Robust Acoustic Multi-Hand Pose Reconstruction Using a Microphone Array. | Shiyang Wang, Henglin Pu, Qiming Cao, Wenjun Jiang, Xingchen Wang, Tianci Liu, Zhengxin Jiang, Hongfei Xue, Lu Su |
| 2024 | SENSYS | mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment. | Qiming Cao, Hongfei Xue, Tianci Liu, Xingchen Wang, Haoyu Wang, Xincheng Zhang, Lu Su |
| 2024 | SENSYS | Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement. | Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su |
| 2018 | ESORICS | Order-Revealing Encryption: File-Injection Attack and Forward Security. | Xingchen Wang, Yunlei Zhao |