| 2026 | ACL | From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance. | Zichen Chen, Jianda Chen, Jiaao Chen, Misha Sra |
| 2025 | NAACL | GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets. | Qiming Wu, Zichen Chen, Will Corcoran, Misha Sra, Ambuj K. Singh |
| 2024 | EMNLP | XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs. | Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra |
| 2023 | AAAI | Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. | Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu |
| 2023 | IJCAI | FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. | Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu |
| 2022 | HCI | FLAS: A Platform for Studying Attacks on Federated Learning. | Yuanchao Loh, Zichen Chen, Yansong Zhao, Han Yu |
| 2020 | IJCAI | A Multi-player Game for Studying Federated Learning Incentive Schemes. | Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang |
| 2004 | ICARCV | Simulation and experiment on temperature control of temperature box in centrifugal field. | Runjie Shen, Wen He, Guangqing Wang, Zichen Chen |