publications
\[ \* \] contributes equally to this work. \[ \+ \] the first author is my guided student.
2023
- LMExplainer: a Knowledge-Enhanced Explainer for Language ModelsarXiv preprint arXiv:2303.16537 2023
- Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block DropoutarXiv preprint arXiv:2302.11485 2023
- Real-Time Hierarchical Map Segmentation for Coordinating Multirobot ExplorationIEEE Access 2023
2022
- FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated LearningarXiv preprint arXiv:2208.05174 2022
- FLAS: A Platform for Studying Attacks on Federated LearningIn 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
- A multi-player game for studying federated learning incentive schemesIn Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence 2021
2020
- A gamified research tool for incentive mechanism design in federated learningFederated Learning: Privacy and Incentive 2020
2019
- End-to-end Deep Reinforcement Learning for Multi-agent Collaborative ExplorationIn 2019 IEEE International Conference on Agents (ICA) 2019