Zhang, Xuchao

24 publications

ICML 2025 AMPO: Active Multi Preference Optimization for Self-Play Preference Selection Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

ICLRW 2025 AMPO: Active Multi Preference Optimization for Self-Play Preference Selection Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

ICLR 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

ICLR 2025 CREAM: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

NeurIPS 2025 Generative Caching for Structurally Similar Prompts and Responses Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta

ICLRW 2025 SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignment Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan

NeurIPSW 2024 AnyPrefer: An Automatic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

NeurIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

ICMLW 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Gong Yangrui, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

NeurIPSW 2024 Cream: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

ICLRW 2024 Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Mika Oishi, Takao Osaki, Katsushi Matsuda, Liang Zhao, Haifeng Chen

NeurIPSW 2024 Synergistic Weak-Strong Collaboration by Aligning Preferences Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

ICLRW 2022 Code Editing from Few Exemplars by Adaptive Multi-Extent Composition Peizhao Li, Xuchao Zhang, Ziyu Yao, Wei Cheng, Haifeng Chen, Hongfu Liu

ECCV 2022 Cross-Domain Few-Shot Semantic Segmentation Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu

AAAI 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi

AAAI 2021 Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

ICCVW 2021 Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation mAP Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu

AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

AAAI 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu

IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

IJCAI 2017 Multimodal Storytelling via Generative Adversarial Imitation Learning Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

IJCAI 2017 Robust Regression via Heuristic Hard Thresholding Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu