publications
\* contributes equally to this work. \+ the first author is my guided student.
2024
- State Chrono Representation for Enhancing Generalization in Reinforcement LearningProceedings of the Neural Information Processing Systems (NeurIPS) 2024
- XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
- Grapheval2000: Benchmarking and improving large language models on graph datasetsarXiv preprint arXiv:2406.16176 2024
2023
- LMExplainer: Grounding Knowledge and Explaining Language ModelsarXiv preprint arXiv:2303.16537 2023
- (Innovative Applications Award) Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block DropoutProceedings of the 35th Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI) 2023
- FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated LearningProceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI) 2023
- Real-Time Hierarchical Map Segmentation for Coordinating Multirobot ExplorationIEEE Access 2023
Before
- 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
- A multi-player game for studying federated learning incentive schemesIn Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (IJCAI-20) 2021
- A gamified research tool for incentive mechanism design in federated learningFederated Learning: Privacy and Incentive 2020
- End-to-end Deep Reinforcement Learning for Multi-agent Collaborative ExplorationIn 2019 IEEE International Conference on Agents (ICA) 2019