Yu, Yue

58 publications

ICCV 2025 4D Visual Pre-Training for Robot Learning Chengkai Hou, Yanjie Ze, Yankai Fu, Zeyu Gao, Songbo Hu, Yue Yu, Shanghang Zhang, Huazhe Xu

NeurIPS 2025 AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play Ran Xu, Yuchen Zhuang, Zihan Dong, Ruiyu Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang

ICLR 2025 Causally Motivated Sycophancy Mitigation for Large Language Models Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu

ICLR 2025 Centrality-Guided Pre-Training for Graph Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong

AAAI 2025 Correcting Large Language Model Behavior via Influence Function Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu

ICCV 2025 Dynamic Typography: Bringing Text to Life via Video Diffusion Prior Zichen Liu, Yihao Meng, Hao Ouyang, Yue Yu, Bolin Zhao, Daniel Cohen-Or, Huamin Qu

ICLR 2025 Efficient Evolutionary Search over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

AAAI 2025 FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network Jiayu Wang, Yue Yu, Jingjing Chen, Qi Dai, Yu-Gang Jiang

ICLR 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-Oriented Understanding Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

CVPR 2025 MagicQuill: An Intelligent Interactive Image Editing System Zichen Liu, Yue Yu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Wen Wang, Zhiheng Liu, Qifeng Chen, Yujun Shen

NeurIPS 2025 Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data Tian Gao, Songtao Lu, Junkyu Lee, Elliot Nelson, Debarun Bhattacharjya, Yue Yu, Miao Liu

ICML 2025 Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery Ning Liu, Yue Yu

UAI 2025 Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation Runze Zhao, Yue Yu, Adams Yiyue Zhu, Chen Yang, Dongruo Zhou

NeurIPS 2025 SpecEM: Training-Free LLM Ensembling via Iterative Drafting, Verification, and Online Feedback Bo Lv, Nayu Liu, Chen Tang, Xin Liu, Yue Yu, Ping Luo

ICLR 2024 At Which Training Stage Does Code Data Help LLMs Reasoning? Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li

ICML 2024 Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu

ICLRW 2024 EHRAgent: Code Empowers Large Language Models for Few-Shot Complex Tabular Reasoning on Electronic Health Records Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang

ICML 2024 Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu

AAAI 2024 Effective Causal Discovery Under Identifiable Heteroscedastic Noise Model Naiyu Yin, Tian Gao, Yue Yu, Qiang Ji

ICMLW 2024 Efficient Evolutionary Search over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Yuanqi Du, Wenhao Gao, Lingkai Kong, Cher Tian Ser, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

ICMLW 2024 Efficient Evolutionary Search over Chemical Space with Large Language Models Haorui Wang, Marta Skreta, Yuanqi Du, Wenhao Gao, Lingkai Kong, Cher Tian Ser, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Alan Aspuru-Guzik, Kirill Neklyudov, Chao Zhang

AAAI 2024 EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

ICML 2024 Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou

NeurIPSW 2024 GUI-WORLD: A GUI-Oriented Video Dataset for Multimodal LLM-Based Agents Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun

ECCV 2024 GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang

NeurIPS 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

ICML 2024 Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws Ning Liu, Yiming Fan, Xianyi Zeng, Milan Klöwer, Lu Zhang, Yue Yu

ECCV 2024 Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji

TMLR 2024 MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

NeurIPS 2024 Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery Yue Yu, Ning Liu, Fei Lu, Tian Gao, Siavash Jafarzadeh, Stewart Silling

NeurIPS 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

AAAI 2024 Towards Fair Graph Federated Learning via Incentive Mechanisms Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

ICMLW 2023 A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang

NeurIPS 2023 Birder: Communication-Efficient 1-Bit Adaptive Optimizer for Practical Distributed DNN Training Hanyang Peng, Shuang Qin, Yue Yu, Jin Wang, Hui Wang, Ge Li

NeurIPS 2023 Domain Agnostic Fourier Neural Operators Ning Liu, Siavash Jafarzadeh, Yue Yu

AISTATS 2023 INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation Ning Liu, Yue Yu, Huaiqian You, Neeraj Tatikola

NeurIPSW 2023 Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce Ho, Carl Yang

NeurIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

NeurIPSW 2023 MUBen: Benchmarking the Uncertainty of Molecular Representation Models Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang

AAAI 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang

NeurIPS 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

UAI 2023 Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

NeurIPS 2023 Provable Training for Graph Contrastive Learning Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

NeurIPS 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

NeurIPS 2023 ToolQA: A Dataset for LLM Question Answering with External Tools Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

CVPRW 2022 A Multi-Granularity Retrieval System for Natural Language-Based Vehicle Retrieval Jiacheng Zhang, Xiangru Lin, Minyue Jiang, Yue Yu, Chenting Gong, Wei Zhang, Xiao Tan, Yingying Li, Errui Ding, Guanbin Li

ECCV 2022 Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding

ICML 2022 IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data Tian Gao, Debarun Bhattacharjya, Elliot Nelson, Miao Liu, Yue Yu

ICML 2021 DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu, Tian Gao, Naiyu Yin, Qiang Ji

CVPRW 2021 Robust Vehicle Re-Identification via Rigid Structure Prior Minyue Jiang, Xuanmeng Zhang, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang

NeurIPS 2020 DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis Wei, Tian Gao, Yue Yu

AAAI 2020 SPAN: A Stochastic Projected Approximate Newton Method Xunpeng Huang, Xianfeng Liang, Zhengyang Liu, Lei Li, Yue Yu, Yitan Li

ICML 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu, Jie Chen, Tian Gao, Mo Yu

NeurIPS 2019 Double Quantization for Communication-Efficient Distributed Optimization Yue Yu, Jiaxiang Wu, Longbo Huang

AISTATS 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks Yue Yu, Jiaxiang Wu, Junzhou Huang

AISTATS 2018 Optimal Cooperative Inference Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

IJCAI 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization Yue Yu, Longbo Huang

IJCAI 2016 Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints Ruohan Zhang, Yue Yu, Mahmoud El Chamie, Behçet Açikmese, Dana H. Ballard