Zhu, Hongtu

24 publications

ICLR 2026 CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu

ICLR 2026 Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning Xiangkun Wu, Qianglin Wen, Yingying Zhang, Hongtu Zhu, Ting Li, Chengchun Shi

ICLR 2026 MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Zihan Dong, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Linjun Zhang, Shujie Liu, Yan Lu, Huaxiu Yao

ICLR 2025 Enhancing Prediction Performance Through Influence Measure Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou

ICML 2025 MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao

ICML 2025 Unraveling the Interplay Between Carryover Effects and Reward Autocorrelations in Switchback Experiments Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu

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

ICML 2024 Combining Experimental and Historical Data for Policy Evaluation Ting Li, Chengchun Shi, Qianglin Wen, Yang Sui, Yongli Qin, Chunbo Lai, Hongtu Zhu

ICMLW 2024 LIFTED: Multimodal Mixture-of-Experts for Clinical Trial Outcome Prediction Wenhao Zheng, Dongshen Peng, Hongxia Xu, Yun Li, Hongtu Zhu, Tianfan Fu, Huaxiu Yao

ICML 2023 Adversarial Learning of Distributional Reinforcement Learning Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou

IJCAI 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu

NeurIPS 2023 K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang

AAAI 2023 Nearest-Neighbor Sampling Based Conditional Independence Testing Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

NeurIPS 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu

JMLR 2022 D-GCCA: Decomposition-Based Generalized Canonical Correlation Analysis for Multi-View High-Dimensional Data Hai Shu, Zhe Qu, Hongtu Zhu

JMLR 2021 An Online Sequential Test for Qualitative Treatment Effects Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song

JMLR 2021 Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu

AAAI 2019 A Powerful Global Test Statistic for Functional Statistical Inference Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu

NeurIPS 2019 Graph-Based Semi-Supervised Learning with Non-Ignorable Non-Response Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Ye Jieping

AAAI 2019 MFPCA: Multiscale Functional Principal Component Analysis Zhenhua Lin, Hongtu Zhu

AAAI 2019 Sensitivity Analysis of Deep Neural Networks Hai Shu, Hongtu Zhu

CVPRW 2009 Regularization of Diffusion Tensor Field Using Coupled Robust Anisotropic Diffusion Filters Songyuan Tang, Yong Fan, Hongtu Zhu, Pew-Thian Yap, Wei Gao, Weili Lin, Dinggang Shen

CVPRW 2009 TIMER: Tensor Image Morphing for Elastic Registration Pew-Thian Yap, Guorong Wu, Hongtu Zhu, Weili Lin, Dinggang Shen