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  • Yangjun Ruan*, Honghua Dong*, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J Maddison, and Tatsunori Hashimoto. Identifying the risks of lm agents with an lm-emulated sandbox. In The Twelfth International Conference on Learning Representations, 2024. [Spotlight]

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  • Honghua Dong*, Jiawei Xu*, Yu Yang*, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J Maddison, and Lei Han. Megraph: Capturing long-range interactions by alternating local and hierarchical aggregation on multi-scaled graph hierarchy. In The Thirty-seventh Advances in Neural Information Processing Systems 2023.

    Paper | Webpage | Code | Poster | OpenReview

  • Shiwen Wu, Qiyu Wu, Honghua Dong, Wen Hua, and Xiaofang Zhou. Blocker and matcher can mutually benefit: A co-learning framework for low-resource entity resolution. Proceedings of the VLDB Endowment, 17(3):292-304, 2023.


  • Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, and Lei Han. The fittest wins: a multi-stage framework achieving new sota in vizdoom competition. IEEE Transactions on Games, 2023.


  • Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, and Stuart Russell. Robust multi-agent reinforcement learning via minimax deep deterministic policy gradient. In Proceedings of the AAAI conference on artificial intelligence, volume 33, pages 4213-4220, 2019.

  • Honghua Dong*, Jiayuan Mao*, Tian Lin, Chong Wang, Lihong Li, and Denny Zhou. Neural logic machines. In the 7th International Conference on Learning Representations (ICLR), 2019.

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  • Jiayuan Mao, Honghua Dong, and Joseph J Lim. Universal agent for disentangling environments and tasks. In International Conference on Learning Representations, 2018.



  • Yuhuai Wu*, Honghua Dong*, Roger Grosse, and Jimmy Ba. The scattering compositional learner: Discovering objects, attributes, relationships in analogical reasoning. arXiv preprint arXiv:2007.04212, 2020.

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  • Honghua Dong, Jiayuan Mao, Xinyue Cui, and Lihong Li. Explicit recall for efficient exploration. 2018.