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Huaxiu Yao

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

74

Venues

16

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

74 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAICan Editing LLMs Inject Harm?Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
2026ACLMedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution.Jianwen Chen, Xinyu Yang, Peng Xia, Arian Azarang, Yueh Z. Lee, Gang Li, Hongtu Zhu, Yun Li, Beidi Chen, Huaxiu Yao
2026ACLSimpleOCR: Rendering Visual Questions to Teach MLLMs to Read.Yibo Peng, Peng Xia, Ding Zhong, Kaide Zeng, Siwei Han, Yiyang Zhou, Jiaqi Liu, Ruiyi Zhang, Huaxiu Yao
2026ACLSynthAgent: Adapting Web Agents with Synthetic Supervision.Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
2026KDDPEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers.Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang
2025AAAIPhysics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks.Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia
2025ACLCARMO: Dynamic Criteria Generation for Context Aware Reward Modelling.Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Rahul Madhavan, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
2025ACLSynergistic 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
2025ACLToken Level Routing Inference System for Edge Devices.Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho
2025ACLMEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang
2025ACLUncertainty Propagation on LLM Agent.Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2025EMNLPRe-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization.Shuo Xing, Peiran Li, Yuping Wang, Ruizheng Bai, Yueqi Wang, Chan-Wei Hu, Chengxuan Qian, Huaxiu Yao, Zhengzhong Tu
2025EMNLPImproving Alignment in LVLMs with Debiased Self-Judgment.Sihan Yang, Chenhang Cui, Zihao Zhao, Yiyang Zhou, Weilong Yan, Ying Wei, Huaxiu Yao
2025EMNLPLIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts.Wenhao Zheng, Liaoyaqi Wang, Dongsheng Peng, Hongxia Xu, Yun Li, Hongtu Zhu, Tianfan Fu, Huaxiu Yao
2025EMNLPGLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?Yiyang Zhou, Linjie Li, Shi Qiu, Zhengyuan Yang, Yuyang Zhao, Siwei Han, Yangfan He, Kangqi Li, Haonian Ji, Zihao Zhao, Haibo Tong, Lijuan Wang, Huaxiu Yao
2025ICDMGrounded Chest X-Ray Reasoning: Leveraging Visual Tools to Improve Medical Multimodal LLMs.Duan D. Wang, Peng Xia, Huaxiu Yao
2025ICLRMMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
2025ICLRFine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment.Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua
2025ICLRCREAM: Consistency Regularized Self-Rewarding Language Models.Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
2025ICLRMMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models.Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao
2025ICLRSAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal
2025ICLRAnyprefer: 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
2025ICMLWOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving.Yiheng Li, Cunxin Fan, Chongjian Ge, Seth Z. Zhao, Chenran Li, Chenfeng Xu, Huaxiu Yao, Masayoshi Tomizuka, Bolei Zhou, Chen Tang, Mingyu Ding, Wei Zhan
2025ICMLFactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees.Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang
2025ICMLMMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization.Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng Wang, Huaxiu Yao
2025ICRAEmbodiment-agnostic Action Planning via Object-Part Scene Flow.Weiliang Tang, Jia-Hui Pan, Wei Zhan, Jianshu Zhou, Huaxiu Yao, Yun-Hui Liu, Masayoshi Tomizuka, Mingyu Ding, Chi-Wing Fu
2025NAACLEnhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao
2025NAACLVerifiable Format Control for Large Language Model Generations.Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
2024AAAITowards Reliable Learning in the Wild: Generalization and Adaptation.Huaxiu Yao
2024ACLMementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
2024CVPRMultimodal Representation Learning by Alternating Unimodal Adaptation.Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao
2024ECCVHow Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie
2024EMNLPRULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models.Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao
2024ICLRFine-Tuning Language Models for Factuality.Katherine Tian, Eric Mitchell, Huaxiu Yao, Christopher D. Manning, Chelsea Finn
2024ICLRImproving Domain Generalization with Domain Relations.Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn
2024ICLRAnalyzing and Mitigating Object Hallucination in Large Vision-Language Models.Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao
2024ICMLHALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding.Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou
2024ICMLPosition: 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 C. 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 Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024ICMLConformal Prediction for Deep Classifier via Label Ranking.Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei
2024ICMLOne Meta-tuned Transformer is What You Need for Few-shot Learning.Xu Yang, Huaxiu Yao, Ying Wei
2024ICMLGenerating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought.Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama
2024KDDCAT: Interpretable Concept-based Taylor Additive Models.Viet Duong, Qiong Wu, Zhengyi Zhou, Hongjue Zhao, Chenxiang Luo, Eric Zavesky, Huaxiu Yao, Huajie Shao
2024MICCAIGeneralizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations.Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge
2024NAACLAutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition.Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao
2023EMNLPMacedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao
2023EMNLPJust Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning
2023ICLRSurgical Fine-Tuning Improves Adaptation to Distribution Shifts.Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2023ICLRDiversify and Disambiguate: Out-of-Distribution Robustness via Disagreement.Yoonho Lee, Huaxiu Yao, Chelsea Finn
2023ICLRUnderstanding Train-Validation Split in Meta-Learning with Neural Networks.Xinzhe Zuo, Zixiang Chen, Huaxiu Yao, Yuan Cao, Quanquan Gu
2022ACLImproving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation.Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang
2022ICLRMeta-Learning with Fewer Tasks through Task Interpolation.Huaxiu Yao, Linjun Zhang, Chelsea Finn
2022ICMLImproving Out-of-Distribution Robustness via Selective Augmentation.Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn
2022KDDSpatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer.Bin Lu, Xiaoying Gan, Weinan Zhang, Huaxiu Yao, Luoyi Fu, Xinbing Wang
2021AAAINeural Utility Functions.Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
2021EMNLPKnowledge-Aware Meta-learning for Low-Resource Text Classification.Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, Eric P. Xing
2021ICMLImproving Generalization in Meta-learning via Task Augmentation.Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
2021WSDMRelation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records.Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao
2020AAAIJoint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020AAAIGraph Few-Shot Learning via Knowledge Transfer.Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020AAAIMetaLight: Value-Based Meta-Reinforcement Learning for Traffic Signal Control.Xinshi Zang, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li
2020AAAIFew-Shot Knowledge Graph Completion.Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2020CIKMInvestigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020ICLRAutomated Relational Meta-learning.Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li
2020KDDLearning with Small Data.Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
2020WSDMLearning with Small Data.Zhenhui Li, Huaxiu Yao, Fenglong Ma
2020WSDMTransferring Robustness for Graph Neural Network Against Poisoning Attacks.Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2019AAAIRevisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li
2019ICMLHierarchically Structured Meta-learning.Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
2019WWWJoint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
2019WWWLearning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2018AAAIDeep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.Huaxiu Yao, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, Zhenhui Li
2018DASFAARepresentation Learning for Large-Scale Dynamic Networks.Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, Zhenhui Li
2018KDDIntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control.Hua Wei, Guanjie Zheng, Huaxiu Yao, Zhenhui Li
2017DASFAAPredicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian