publications

publications by categories in reversed chronological order.

2024

  1. Alignment of Large Language Models via RLHF with Disco Rewards Model
    H. Gong, B. Peng, Z. Wang, and 1 more author
    Working paper, 2024
  2. DiscoNet: Causality is Invariance Across Heterogeneous Units
    H. Gong, Z. Wang, H. Miao, and 3 more authors
    Working paper, 2024
  3. A Novel Information Fusion Framework Based on a Simple Stochastic Aggregation Operator with Applications in Decision-Making
    H. Gong
    arXiv preprint arXiv:2401.15867, 2024
  4. Distribution-consistency Structural Causal Models
    H. Gong, C. Lu, and Y. Zhang
    arXiv preprint arXiv:2401.15911, 2024

2023

  1. Answering Layer 3 queries with DiscoSCMs: Embracing Heterogeneity
    H. Gong
    arXiv preprint arXiv:2309.09323, 2023
    IEEE ICKG 2023 Accepted

2022

  1. Connecting Data to Mechanisms with Meta Structural Causal Model
    H. Gong
    In 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML), 2022
  2. LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm
    M. Ai, B. Li, H. Gong, and 5 more authors
    In Proceedings of the ACM Web Conference 2022, 2022
  3. Info Intervention and its Causal Calculus
    H. Gong, and K. Zhu
    In Conference on Causal Learning and Reasoning, 2022

2021

  1. Path-specific Effects Based on Information Accounts of Causality
    H. Gong, and K. Zhu
    In 1st Causality in Vision, CVPR 2021 Workshop, 2021