publications

\[ \* \] contributes equally to this work. \[ \+ \] the first author is my guided student.

2023

  1. LMExplainer: a Knowledge-Enhanced Explainer for Language Models
    Zichen Chen, Ambuj K Singh, and Misha Sra
    arXiv preprint arXiv:2303.16537 2023
  2. Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
    Yuanyuan Chen*, Zichen Chen*, Sheng Guo, Yansong Zhao, and 5 more authors
    arXiv preprint arXiv:2302.11485 2023
  3. Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration
    Tianze Luo, Zichen Chen, Budhitama Subagdja, and Ah-Hwee Tan
    IEEE Access 2023

2022

  1. FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
    Yuanyuan Chen*, Zichen Chen*, Pengcheng Wu, and Han Yu
    arXiv preprint arXiv:2208.05174 2022
  2. FLAS: A Platform for Studying Attacks on Federated Learning
    Yuanchao Loh+, Zichen Chen, Yansong Zhao, and Han Yu
    In Social Computing and Social Media: Design, User Experience and Impact: 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26–July 1, 2022, Proceedings, Part I 2022

2021

  1. A multi-player game for studying federated learning incentive schemes
    Kang Loon Ng+, Zichen Chen, Zelei Liu, Han Yu, and 2 more authors
    In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence 2021

2020

  1. A gamified research tool for incentive mechanism design in federated learning
    Zichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, and 2 more authors
    Federated Learning: Privacy and Incentive 2020

2019

  1. End-to-end Deep Reinforcement Learning for Multi-agent Collaborative Exploration
    Zichen Chen, Budhitama Subagdja, and Ah-Hwee Tan
    In 2019 IEEE International Conference on Agents (ICA) 2019