Huang, Yue

51 publications

ICCV 2025 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang, Xinghao Ding

AAAI 2025 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding

NeurIPS 2025 AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking Xiangqi Wang, Yue Huang, Yanbo Wang, Xiaonan Luo, Kehan Guo, Yujun Zhou, Xiangliang Zhang

NeurIPS 2025 Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search Yanbo Wang, Zixiang Xu, Yue Huang, Chujie Gao, Siyuan Wu, Jiayi Ye, Pin-Yu Chen, Xiuying Chen, Xiangliang Zhang

IJCAI 2025 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond Kehan Guo, Yili Shen, Gisela Abigail Gonzalez-Montiel, Yue Huang, Yujun Zhou, Mihir Surve, Zhichun Guo, Payel Das, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

ICLRW 2025 Breaking Focus: Contextual Distraction Curse in Large Language Models Yanbo Wang, Zixiang Xu, Yue Huang, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang

NeurIPS 2025 ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang

AAAI 2025 DPLUT: Unsupervised Low-Light Image Enhancement with Lookup Tables and Diffusion Priors Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding

ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang

ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang

AISTATS 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients Yue Huang, Jiaojiao Zhang, Qing Ling

ICCV 2025 Dissecting Generalized Category Discovery: Multiplex Consensus Under Self-Deconstruction Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang

NeurIPS 2025 DyFlow: Dynamic Workflow Framework for Agentic Reasoning Yanbo Wang, Zixiang Xu, Yue Huang, Xiangqi Wang, Zirui Song, Lang Gao, Chenxi Wang, Xiangru Tang, Yue Zhao, Arman Cohan, Xiangliang Zhang, Xiuying Chen

NeurIPS 2025 DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Kairun Wen, Yuzhihuang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan

NeurIPS 2025 FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

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

ICLR 2025 Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment Dongping Chen, Ruoxi Chen, Shu Pu, Zhaoyi Liu, Yanru Wu, Caixi Chen, Benlin Liu, Yue Huang, Yao Wan, Pan Zhou, Ranjay Krishna

ICLR 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

CVPR 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang

NeurIPS 2025 Pan-LUT: Efficient Pan-Sharpening via Learnable Look-up Tables Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, ZiXu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding

AAAI 2025 STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang

AAAI 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding

CVPR 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan

CVPR 2025 UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation Qihui Zhang, Munan Ning, Zheyuan Liu, Yue Huang, Shuo Yang, Yanbo Wang, Jiayi Ye, Xiao Chen, Yibing Song, Li Yuan

NeurIPS 2024 Flaws Can Be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM Chenxin Li, Yuzhi Huang, Wuyang Li, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan

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

NeurIPS 2024 HonestLLM: Toward an Honest and Helpful Large Language Model Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang

NeurIPSW 2024 I Think, Therefore I Am: Benchmarking Awareness of Large Language Models Using AwareBench Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun

NeurIPSW 2024 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V Chawla, Xiangliang Zhang

ICLR 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun

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

AAAI 2024 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang

ICCV 2023 Activate and Reject: Towards Safe Domain Generalization Under Category Shift Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu

NeurIPS 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu

CVPR 2023 Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma

AAAI 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley

ECCV 2022 Knowledge Condensation Distillation Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao

NeurIPS 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu

ECCV 2022 Uncertainty Inspired Underwater Image Enhancement Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma

AAAI 2022 Unsupervised Underwater Image Restoration: From a Homology Perspective Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding

ICCV 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

CVPR 2021 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

IJCAI 2021 Noise2Grad: Extract Image Noise to Denoise Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu

CVPRW 2019 Preselection Based Subjective Preference Evaluation for the Quality of Underwater Images Miao Yang, Yixiang Du, Yue Huang, Hantao Liu, Zhiqiang Wei, Jintong Hu, Ke Hu, Zhibin Sheng

ECCV 2018 A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley

AAAI 2018 Compressed Sensing MRI Using a Recursive Dilated Network Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley

ICCV 2017 PanNet: A Deep Network Architecture for Pan-Sharpening Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John Paisley

CVPR 2017 Removing Rain from Single Images via a Deep Detail Network Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley

CVPR 2016 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding

ICCV 2015 Pan-Sharpening with a Hyper-Laplacian Penalty Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley

AISTATS 2014 Pan-Sharpening with a Bayesian Nonparametric Dictionary Learning Model Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley