Liang, Hao

16 publications

NeurIPS 2025 BRACE: A Benchmark for Robust Audio Caption Quality Evaluation Tianyu Guo, Hongyu Chen, Hao Liang, Meiyi Qiang, Bohan Zeng, Linzhuang Sun, Bin Cui, Wentao Zhang

NeurIPS 2025 Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems Hao Liang, Shuqing Shi, Yudi Zhang, Biwei Huang, Yali Du

ICLR 2025 Facilitating Multi-Turn Function Calling for LLMs via Compositional Instruction Tuning Mingyang Chen, Sunhaoze, Tianpeng Li, Fan Yang, Hao Liang, KeerLu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen

AAAI 2025 Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models Xijie Huang, Xinyuan Wang, Hantao Zhang, Yinghao Zhu, Jiawen Xi, Jingkun An, Hao Wang, Hao Liang, Chengwei Pan

NeurIPS 2025 UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens Ruichuan An, Sihan Yang, Renrui Zhang, Zijun Shen, Ming Lu, Gaole Dai, Hao Liang, Ziyu Guo, Shilin Yan, Yulin Luo, Bocheng Zou, Chaoqun Yang, Wentao Zhang

JMLR 2024 Bridging Distributional and Risk-Sensitive Reinforcement Learning with Provable Regret Bounds Hao Liang, Zhi-Quan Luo

ICMLW 2024 Bridging Distributional and Risk-Sensitive Reinforcement Learning: Balancing Statistical, Computational, and Risk Considerations Hao Liang

ECCVW 2024 Hybrid Spatial-Spectral Neural Network for Hyperspectral Image Denoising Hao Liang, Chengjie Ke, Kun Li

WACV 2024 Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

AISTATS 2024 Regret Bounds for Risk-Sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures Hao Liang, Zhiquan Luo

ICML 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures Hao Liang, Zhi-Quan Luo

ICCV 2023 Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation Hao Liang, Pietro Perona, Guha Balakrishnan

ICMLW 2023 Regret Bounds for Risk-Sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures Hao Liang, Zhi-Quan Luo

AAAI 2022 RareGAN: Generating Samples for Rare Classes Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

IJCAI 2021 Instance-Aware Coherent Video Style Transfer for Chinese Ink Wash Painting Hao Liang, Shuai Yang, Wenjing Wang, Jiaying Liu

NeurIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor