2026
AutoLab: Can Models Begin to Participate in the Loops That Drive Scientific and Engineering Progress?
AutoLab Team
arXiv preprint Featured
Code Project
2026
AutoLab: Can Models Begin to Participate in the Loops That Drive Scientific and Engineering Progress?
AutoLab Team
arXiv preprint Featured
Code Project
2026
Visual Aesthetic Benchmark (VAB): A Large-Scale Evaluation of Frontier AI Models on Artist-Curated Artworks
VAB Team
arXiv preprint Featured
Code Project
2026
Visual Aesthetic Benchmark (VAB): A Large-Scale Evaluation of Frontier AI Models on Artist-Curated Artworks
VAB Team
arXiv preprint Featured
Code Project
2026
From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance
Zichen Chen, Jianda Chen, Jiaao Chen, Misha Sra
ACL 2026 Featured
ICML 2025 Workshop on R2-FM Oral
2026
From Tasks to Teams: A Risk-First Evaluation Framework for Multi-Agent LLM Systems in Finance
Zichen Chen, Jianda Chen, Jiaao Chen, Misha Sra
ACL 2026 Featured
ICML 2025 Workshop on R2-FM Oral
2025
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
arXiv preprint
Project
2025
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
arXiv preprint
Project
2025
PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory Wornell, Lyle Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor
arXiv preprint
2025
PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
Bowen Jiang, Yuan Yuan, Maohao Shen, Zhuoqun Hao, Zhangchen Xu, Zichen Chen, Ziyi Liu, Anvesh Rao Vijjini, Jiashu He, Hanchao Yu, Radha Poovendran, Gregory Wornell, Lyle Ungar, Dan Roth, Sihao Chen, Camillo Jose Taylor
arXiv preprint
2025
CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan Ö. Arık, Misha Sra, Tomas Pfister, Jinsung Yoon
ICLR 2026 Featured
Project
2025
CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan Ö. Arık, Misha Sra, Tomas Pfister, Jinsung Yoon
ICLR 2026 Featured
Project
2025
Standard Benchmarks Fail — LLM Agents Present Overlooked Risks for Financial Applications
Zichen Chen, Jiaao Chen, Jianda Chen, Misha Sra
arXiv preprint Featured
2025
Standard Benchmarks Fail — LLM Agents Present Overlooked Risks for Financial Applications
Zichen Chen, Jiaao Chen, Jianda Chen, Misha Sra
arXiv preprint Featured
2025
Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making
Zichen Chen, Yunhao Luo, Misha Sra
arXiv preprint
2025
Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making
Zichen Chen, Yunhao Luo, Misha Sra
arXiv preprint
2025
Agentic Workflows for Conversational Human-AI Interaction Design
Arthur Caetano, Kavya Verma, Atieh Taheri, Radha Kumaran, Zichen Chen, Jiaao Chen, Tobias Höllerer, Misha Sra
arXiv preprint
2025
Agentic Workflows for Conversational Human-AI Interaction Design
Arthur Caetano, Kavya Verma, Atieh Taheri, Radha Kumaran, Zichen Chen, Jiaao Chen, Tobias Höllerer, Misha Sra
arXiv preprint
2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
NeurIPS 2024
2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
NeurIPS 2024
2024
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj Singh, Misha Sra
EMNLP 2024 Featured
2024
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj Singh, Misha Sra
EMNLP 2024 Featured
2024
GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Qiming Wu*, Zichen Chen*, Will Corcoran, Misha Sra, Ambuj K Singh (* equal contribution)
NAACL 2025
Project
2024
GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
Qiming Wu*, Zichen Chen*, Will Corcoran, Misha Sra, Ambuj K Singh (* equal contribution)
NAACL 2025
Project
2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen*, Zichen Chen*, Pengcheng Wu, Han Yu (* equal contribution)
IJCAI 2023 Oral
2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
Yuanyuan Chen*, Zichen Chen*, Pengcheng Wu, Han Yu (* equal contribution)
IJCAI 2023 Oral
2023
LMExplainer: Grounding Knowledge and Explaining Language Models
Zichen Chen, Ambuj K Singh, Misha Sra
arXiv preprint Featured
2023
LMExplainer: Grounding Knowledge and Explaining Language Models
Zichen Chen, Ambuj K Singh, Misha Sra
arXiv preprint Featured
2023
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration
Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
IEEE Access
2023
Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration
Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
IEEE Access
2023
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 (* equal contribution)
AAAI/IAAI 2023 (Innovation Award) Oral Featured
2023
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 (* equal contribution)
AAAI/IAAI 2023 (Innovation Award) Oral Featured
2022
FLAS: A Platform for Studying Attacks on Federated Learning
Yuanchao Loh+, Zichen Chen, Yansong Zhao, Han Yu
SCSM 2022
2022
FLAS: A Platform for Studying Attacks on Federated Learning
Yuanchao Loh+, Zichen Chen, Yansong Zhao, Han Yu
SCSM 2022
2021
A multi-player game for studying federated learning incentive schemes
Kang Loon Ng+, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang
IJCAI 2021 Oral
2021
A multi-player game for studying federated learning incentive schemes
Kang Loon Ng+, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang
IJCAI 2021 Oral
2020
A gamified research tool for incentive mechanism design in federated learning
Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang
Book Chapter
2020
A gamified research tool for incentive mechanism design in federated learning
Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang
Book Chapter
2019
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration
Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
IEEE ICA 2019 Oral
2019
End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration
Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan
IEEE ICA 2019 Oral