Zhang, Yixuan

19 publications

JAIR 2025 Against the Achilles' Heel: A Survey on Red Teaming for Generative Models Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li

ICLR 2025 Causal Representation Learning from Multimodal Biomedical Observations Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang

NeurIPS 2025 Contextual Online Pricing with (Biased) Offline Data Yixuan Zhang, Ruihao Zhu, Qiaomin Xie

NeurIPS 2025 LeVo: High-Quality Song Generation with Multi-Preference Alignment Shun Lei, Yaoxun Xu, ZhiweiLin, Huaicheng Zhang, Wei Tan, Hangting Chen, Yixuan Zhang, Chenyu Yang, Haina Zhu, Shuai Wang, Zhiyong Wu, Dong Yu

AAAI 2025 Navigating Towards Fairness with Data Selection Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan, Feng Zhou

ICML 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICMLW 2024 CompeteAI: Understanding the Competition Dynamics of Large Language Model-Based Agents Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie

ICML 2024 Deep Equilibrium Models Are Almost Equivalent to Not-so-Deep Explicit Models for High-Dimensional Gaussian Mixtures Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C Qiu, Zhenyu Liao

AAAI 2024 Mitigating Label Bias in Machine Learning: Fairness Through Confident Learning Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou

NeurIPS 2024 Nonstationary Sparse Spectral Permanental Process Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

NeurIPS 2024 The Collusion of Memory and Nonlinearity in Stochastic Approximation with Constant Stepsize Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie

ICML 2024 The Good, the Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

AISTATS 2023 Fair Representation Learning with Unreliable Labels Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

NeurIPS 2023 Integration-Free Training for Spatio-Temporal Multimodal Covariate Deep Kernel Point Processes Yixuan Zhang, Quyu Kong, Feng Zhou

JMLR 2022 Efficient Inference for Dynamic Flexible Interactions of Neural Populations Feng Zhou, Quyu Kong, Zhijie Deng, Jichao Kan, Yixuan Zhang, Cheng Feng, Jun Zhu

ICML 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-Training Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

ACML 2021 Bias-Tolerant Fair Classification Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen

ICLR 2021 Efficient Inference of Flexible Interaction in Spiking-Neuron Networks Feng Zhou, Yixuan Zhang, Jun Zhu