Publications

2026

  1. Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities
    Gao, Jiashi, Kexin Liu, Xinwei Guo, and 6 more authors
    In ICLR, 2026
  2. The Silent Amplifier: In-Context Examples FuelBias in Large Language Models
    Xinwei Guo, Gao, Jiashi, Junlei Zhou, and 5 more authors
    In AAAI, 2026
  3. GeWu: A Culturally-Grounded ChineseBenchmark for Multi-Stage Social Bias Evaluationin Large Language Models
    Yi Lin, Ziyi Zhou, Gao, Jiashi, and 5 more authors
    In AAAI, 2026

2025

  1. The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
    Xinwei Guo, Gao, Jiashi, Junlei Zhou, and 7 more authors
    In ACL 2025 Findings, 2025
  2. LLMs Trust Humans More, That’s a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
    Yuxuan Li, Xinwei Guo, Gao, Jiashi, and 7 more authors
    In ACL 2025 Main, 2025

2024

  1. An Adaptive Pricing Framework for Real-Time AI Model Service Exchange
    Gao, Jiashi, Ziwei Wang, and Xuetao Wei
    IEEE Transactions on Network Science and Engineering, 2024
  2. Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
    Gao, Jiashi, Ziwei Wang, Xiangyu Zhao, and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  3. Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
    Ziyi Zhou, Xinwei Guo, Gao, Jiashi, and 4 more authors
    Advances in Neural Information Processing Systems, 2024
  4. Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training
    Gao, Jiashi, Ziwei Wang, Xiangyu Zhao, and 2 more authors
    In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 2024
  5. Association of objects may engender stereotypes: Mitigating association-engendered stereotypes in text-to-image generation
    Junlei Zhou, Gao, Jiashi, Xiangyu Zhao, and 2 more authors
    Advances in Neural Information Processing Systems, 2024
  6. Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
    Gao, Jiashi, Xin Yao, and Xuetao Wei
    In ECAI 2024, 2024
  7. PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
    Gao, Jiashi, Ziwei Wang, Xiangyu Zhao, and 2 more authors
    arXiv preprint arXiv:2410.06509, 2024

2023

  1. Do NFTs’ owners really possess their assets? A first look at the NFT-to-asset connection fragility
    Ziwei Wang, Gao, Jiashi, and Xuetao Wei
    In Proceedings of the ACM Web Conference 2023, 2023
  2. Deep boosting robustness of dnn-based image watermarking via dbmark
    Guanhui Ye, Gao, Jiashi, Bo Yin, and 2 more authors
    In 2023 International Conference on Culture-Oriented Science and Technology (CoST), 2023

2022

  1. Social-DualCVAE: Multimodal trajectory forecasting based on social interactions pattern aware and dual conditional variational auto-encoder
    Gao, Jiashi, Xinming Shi, and James JQ Yu
    arXiv preprint arXiv:2202.03954, 2022
  2. Evolving parsimonious circuits through shapley value-based genetic programming
    Xinming Shi, Gao, Jiashi, Leandro L Minku, and 1 more author
    In Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

2021

  1. Attn-CommNet: coordinated traffic lights control on large-scale network level
    Gao, Jiashi, Xinming Shi, and JQ James
    In 2021 IEEE 33rd International conference on tools with artificial intelligence (ICTAI), 2021
  2. Second-order time delay reservoir computing for nonlinear time series problems
    Xinming Shi, Gao, Jiashi, Leandro L Minku, and 2 more authors
    In 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021