Zhang, Yu

201 publications

ICLR 2025 $\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

AAAI 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation Hongxu Zhao, Zelin Gao, Yue Wang, Rong Xiong, Yu Zhang

CVPR 2025 BHViT: Binarized Hybrid Vision Transformer Tian Gao, Yu Zhang, Zhiyuan Zhang, Huajun Liu, Kaijie Yin, Chengzhong Xu, Hui Kong

TMLR 2025 Beyond Instance Consistency: Investigating View Diversity in Self-Supervised Learning Huaiyuan Qin, Muli Yang, Siyuan Hu, Peng Hu, Yu Zhang, Chen Gong, Hongyuan Zhu

ICML 2025 CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang

NeurIPS 2025 ChromFound: Towards a Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

ICLR 2025 ComLoRA: A Competitive Learning Approach for Enhancing LoRA Qiushi Huang, Tom Ko, Lilian Tang, Yu Zhang

ICML 2025 Come Together, but Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei

ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo, Yu Zhang, Baixu Chen, Haoran Xu, Jianmin Wang, Mingsheng Long

CVPR 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu

TMLR 2025 Efficient Diffusion Models: A Survey Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

NeurIPS 2025 Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning Yu Zhang, Jialei Zhou, Xinchen Li, Qi Zhang, Zhongwei Wan, Duoqian Miao, Changwei Wang, Longbing Cao

CVPR 2025 EnvPoser: Environment-Aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling Songpengcheng Xia, Yu Zhang, Zhuo Su, Xiaozheng Zheng, Zheng Lv, Guidong Wang, Yongjie Zhang, Qi Wu, Lei Chu, Ling Pei

IJCAI 2025 ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen

AAAI 2025 Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay Ruiheng Liu, Jinyu Zhang, Yanqi Song, Yu Zhang, Bailong Yang

AAAI 2025 Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition Changwei Wang, Shunpeng Chen, Yukun Song, Rongtao Xu, Zherui Zhang, Jiguang Zhang, Haoran Yang, Yu Zhang, Kexue Fu, Shide Du, Zhiwei Xu, Longxiang Gao, Li Guo, Shibiao Xu

NeurIPS 2025 From Experts to a Generalist: Toward General Whole-Body Control for Humanoid Robots Yuxuan Wang, Ming Yang, Ziluo Ding, Yu Zhang, Weishuai Zeng, Xinrun Xu, Haobin Jiang, Zongqing Lu

IJCAI 2025 Gaussian Mixture Model for Graph Domain Adaptation Mengzhu Wang, Wenhao Ren, Yu Zhang, Yanlong Fan, Dianxi Shi, Luoxi Jing, Nan Yin

ICLR 2025 HeadMap: Locating and Enhancing Knowledge Circuits in LLMs Xuehao Wang, Liyuan Wang, Binghuai Lin, Yu Zhang

ICLR 2025 HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang

AAAI 2025 HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation Xiaolong Wang, Lei Yu, Yingying Zhang, Jiangwei Lao, Lixiang Ru, Liheng Zhong, Jingdong Chen, Yu Zhang, Ming Yang

ICLR 2025 Image Watermarks Are Removable Using Controllable Regeneration from Clean Noise Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu

IJCAI 2025 Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji, Yanyong Zhang

NeurIPS 2025 MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations Wenxiang Guo, Changhao Pan, Zhiyuan Zhu, Xintong Hu, Yu Zhang, Li Tang, Rui Yang, Han Wang, Zongbao Zhang, Yuhan Wang, Yixuan Chen, Hankun Xu, Ke Xu, PengFei Fan, ZheTao Chen, Yanhao Yu, Qiange Huang, Fei Wu, Zhou Zhao

ICLR 2025 MTSAM: Multi-Task Fine-Tuning for Segment Anything Model Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang

NeurIPS 2025 MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition Hao Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang

AAAI 2025 Multi-Label Ranking Loss Minimization for Matrix Completion Jiaxuan Li, Xiaoyan Zhu, Hongrui Wang, Yu Zhang, Xin Lai, Jiayin Wang

CVPRW 2025 NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li

AAAI 2025 NaFV-Net: An Adversarial Four-View Network for Mammogram Classification Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng, Wenxi Luo, Leqing Chen, Yuyang Cao, Xiaofei Liao, Yu Zhang, Fan Yang, Albert Y. Zomaya, Hai Jin

ICCV 2025 Object-Level Correlation for Few-Shot Segmentation Chunlin Wen, Yu Zhang, Jie Fan, Hongyuan Zhu, Xiu-Shen Wei, Yijun Wang, Zhiqiang Kou, Shuzhou Sun

ICML 2025 Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James Kwok, Yu Zhang

ICCV 2025 PLAN: Proactive Low-Rank Allocation for Continual Learning Xiequn Wang, Zhan Zhuang, Yu Zhang

ICML 2025 Pre-Training Graph Contrastive Masked Autoencoders Are Strong Distillers for EEG Xinxu Wei, Kanhao Zhao, Yong Jiao, Hua Xie, Lifang He, Yu Zhang

NeurIPS 2025 SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan

ICLR 2025 Sharpness-Aware Black-Box Optimization Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor Tsang

ICCV 2025 SpatialSplat: Efficient Semantic 3D from Sparse Unposed Images Yu Sheng, Jiajun Deng, Xinran Zhang, Yu Zhang, Bei Hua, Yanyong Zhang, Jianmin Ji

ICML 2025 Strategic A/B Testing via Maximum Probability-Driven Two-Armed Bandit Yu Zhang, Shanshan Zhao, Bokui Wan, Jinjuan Wang, Xiaodong Yan

AAAI 2025 TechSinger: Technique Controllable Multilingual Singing Voice Synthesis via Flow Matching Wenxiang Guo, Yu Zhang, Changhao Pan, Rongjie Huang, Li Tang, Ruiqi Li, Zhiqing Hong, Yongqi Wang, Zhou Zhao

ICLR 2024 Adaptive Stochastic Gradient Algorithm for Black-Box Multi-Objective Learning Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor Tsang

NeurIPS 2024 ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang, Yang Li, Chenhui Li, Changbo Wang

ICML 2024 CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long

NeurIPSW 2024 CopRA: A Progressive LoRA Training Strategy Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu Zhang, Ying Wei

NeurIPS 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang

CVPR 2024 Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors Yu Zhang, Songpengcheng Xia, Lei Chu, Jiarui Yang, Qi Wu, Ling Pei

ECML-PKDD 2024 Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang, Weisen Jiang, Shuai Fu, Yu Zhang

ECCV 2024 Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok, Yu Zhang

NeurIPSW 2024 From RNNs to Foundation Models: An Empirical Study on Commercial Building Energy Consumption Shourya Bose, Yijiang Li, Amy Van Sant, Yu Zhang, Kibaek Kim

NeurIPS 2024 GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James T. Kwok, Yu Zhang

NeurIPS 2024 GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks Yu Zhang, Changhao Pan, Wenxiang Guo, Ruiqi Li, Zhiyuan Zhu, Jialei Wang, Wenhao Xu, Jingyu Lu, Zhiqing Hong, Chuxin Wang, LiChao Zhang, Jinzheng He, Ziyue Jiang, Yuxin Chen, Chen Yang, Jiecheng Zhou, Xinyu Cheng, Zhou Zhao

NeurIPS 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu

ICLR 2024 Gradual Domain Adaptation via Gradient Flow Zhan Zhuang, Yu Zhang, Ying Wei

CVPR 2024 HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation Yongliang Lin, Yongzhi Su, Praveen Nathan, Sandeep Inuganti, Yan Di, Martin Sundermeyer, Fabian Manhardt, Didier Stricker, Jason Rambach, Yu Zhang

NeurIPS 2024 IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Yu Zhang

ECCV 2024 IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers Chenglin Yang, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan Yuille, Jiahui Yu

ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

ECCV 2024 MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Yingcong Chen

AAAI 2024 Memory-Efficient Reversible Spiking Neural Networks Hong Zhang, Yu Zhang

ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

CoRL 2024 Multi-Task Interactive Robot Fleet Learning with Visual World Models Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu

CVPR 2024 NC-SDF: Enhancing Indoor Scene Reconstruction Using Neural SDFs with View-Dependent Normal Compensation Ziyi Chen, Xiaolong Wu, Yu Zhang

CVPRW 2024 NTIRE 2024 Challenge on Short-Form UGC Video Quality Assessment: Methods and Results Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu

ICLR 2024 Nemesis: Normalizing the Soft-Prompt Vectors of Vision-Language Models Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang

NeurIPS 2024 NeuroClips: Towards High-Fidelity and Smooth fMRI-to-Video Reconstruction Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

NeurIPS 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim

IJCAI 2024 Personalized Federated Learning for Cross-City Traffic Prediction Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui

ICML 2024 Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective Yulong Zhang, Yuan Yao, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, Jiangang Lu

NeurIPS 2024 RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang

AAAI 2024 SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving Lei Gong, Yu Zhang, Yingqing Xia, Yanyong Zhang, Jianmin Ji

AAAI 2024 Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han

CVPRW 2024 Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-Supervised Learning Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao

CVPR 2024 SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting Zhijing Shao, Zhaolong Wang, Zhuang Li, Duotun Wang, Xiangru Lin, Yu Zhang, Mingming Fan, Zeyu Wang

AAAI 2024 StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis Yu Zhang, Rongjie Huang, Ruiqi Li, Jinzheng He, Yan Xia, Feiyang Chen, Xinyu Duan, Baoxing Huai, Zhou Zhao

NeurIPS 2024 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang

ICCV 2023 Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields Zelin Gao, Weichen Dai, Yu Zhang

ICLR 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang, Hansi Yang, Yu Zhang, James Kwok

CVPR 2023 Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection Yingjie Wang, Jiajun Deng, Yao Li, Jinshui Hu, Cong Liu, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang

NeurIPS 2023 CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang, Jianmin Ji, Wanli Ouyang, Yanyong Zhang

NeurIPS 2023 Conditional Adapters: Parameter-Efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

AAAI 2023 Denoising Pre-Training for Machine Translation Quality Estimation with Curriculum Learning Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen

ICCV 2023 E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images Yunshan Qi, Lin Zhu, Yu Zhang, Jia Li

ICLR 2023 Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han

ICML 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer Weisen Jiang, Yu Zhang, James Kwok

AAAI 2023 Electrophysiological Brain Source Imaging via Combinatorial Search with Provable Optimality Guihong Wan, Meng Jiao, Xinglong Ju, Yu Zhang, Haim Schweitzer, Feng Liu

NeurIPS 2023 Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator Xiaolong Wang, Runsen Xu, Zhuofan Cui, Zeyu Wan, Yu Zhang

NeurIPS 2023 Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Yong Jiang, Yong Yang

AAAI 2023 Learning Conflict-Noticed Architecture for Multi-Task Learning Zhixiong Yue, Yu Zhang, Jie Liang

NeurIPSW 2023 Learning Multiplex Embeddings on Text-Rich Networks with One Text Encoder Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han

ICCV 2023 Learning Trajectory-Word Alignments for Video-Language Tasks Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang

CVPR 2023 Leveraging per Image-Token Consistency for Vision-Language Pre-Training Yunhao Gou, Tom Ko, Hansi Yang, James Kwok, Yu Zhang, Mingxuan Wang

MLOSS 2023 LibMTL: A Python Library for Deep Multi-Task Learning Baijiong Lin, Yu Zhang

NeurIPS 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu

IJCAI 2023 Max Markov Chain Yu Zhang, Mitchell Bucklew

ICML 2023 Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna

IJCAI 2023 Multi-Task Learning via Time-Aware Neural ODE Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang

ICCV 2023 Multi-View Self-Supervised Disentanglement for General Image Denoising Hao Chen, Chenyuan Qu, Yu Zhang, Chen Chen, Jianbo Jiao

CVPRW 2023 NTIRE 2023 Video Colorization Challenge Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo

ECML-PKDD 2023 Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection Yu Zhang, Chuang Zhu, Guoqing Yang, Siqi Chen

CVPR 2023 PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration Junle Yu, Luwei Ren, Yu Zhang, Wenhui Zhou, Lili Lin, Guojun Dai

AAAI 2023 Personalized Dialogue Generation with Persona-Adaptive Attention Qiushi Huang, Yu Zhang, Tom Ko, Xubo Liu, Bo Wu, Wenwu Wang, H. Lilian Tang

CVPR 2023 Range-Nullspace Video Frame Interpolation with Focalized Motion Estimation Zhiyang Yu, Yu Zhang, Dongqing Zou, Xijun Chen, Jimmy S. Ren, Shunqing Ren

AAAI 2023 Robust Temporal Smoothness in Multi-Task Learning Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang

CVPRW 2023 Temporal Consistent Automatic Video Colorization via Semantic Correspondence Yu Zhang, Siqi Chen, Mingdao Wang, Xianlin Zhang, Chuang Zhu, Yue Zhang, Xueming Li

ICML 2023 Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han

ECML-PKDD 2023 Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer Xiyu Wang, Pengxin Guo, Yu Zhang

ECCV 2022 An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao

CVPR 2022 AutoMine: An Unmanned Mine Dataset Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen

CVPR 2022 Balanced and Hierarchical Relation Learning for One-Shot Object Detection Hanqing Yang, Sijia Cai, Hualian Sheng, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Yong Tang, Yu Zhang

ECCV 2022 Deep Bayesian Video Frame Interpolation Zhiyang Yu, Yu Zhang, Xujie Xiang, Dongqing Zou, Xijun Chen, Jimmy S. Ren

ECCV 2022 Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng

NeurIPS 2022 Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images Chao Tu, Yu Zhang, Zhenyuan Ning

NeurIPS 2022 Dynamic Sparse Network for Time Series Classification: Learning What to “See” Qiao Xiao, Boqian Wu, Yu Zhang, Shiwei Liu, Mykola Pechenizkiy, Elena Mocanu, Decebal Constantin Mocanu

NeurIPS 2022 Generating Training Data with Language Models: Towards Zero-Shot Language Understanding Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han

ECCV 2022 PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou

AAAI 2022 Policy Optimization with Stochastic Mirror Descent Long Yang, Yu Zhang, Gang Zheng, Qian Zheng, Pengfei Li, Jianhang Huang, Gang Pan

TMLR 2022 Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor Tsang

CVPRW 2022 Scene Representation in Bird's-Eye View from Surrounding Cameras with Transformers Yun Zhao, Yu Zhang, Zhan Gong, Hong Zhu

ICML 2022 Self-Supervised Learning with Random-Projection Quantizer for Speech Recognition Chung-Cheng Chiu, James Qin, Yu Zhang, Jiahui Yu, Yonghui Wu

ICML 2022 Subspace Learning for Effective Meta-Learning Weisen Jiang, James Kwok, Yu Zhang

ECML-PKDD 2021 Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network Pengxin Guo, Chang Deng, Linjie Xu, Xiaonan Huang, Yu Zhang

AAAI 2021 Distant Transfer Learning via Deep Random Walk Qiao Xiao, Yu Zhang

NeurIPS 2021 Effective Meta-Regularization by Kernelized Proximal Regularization Weisen Jiang, James T. Kwok, Yu Zhang

CVPR 2021 Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection Luwei Hou, Yu Zhang, Kui Fu, Jia Li

ACML 2021 Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data Yutao Chen, Yu Zhang, Fei Yang

NeurIPS 2021 Multi-Objective Meta Learning Feiyang Ye, Baijiong Lin, Zhixiong Yue, Pengxin Guo, Qiao Xiao, Yu Zhang

AAAI 2021 On Convergence of Gradient Expected Sarsa(λ) Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan

ICCV 2021 Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao

ACML 2021 Regularized Mutual Learning for Personalized Federated Learning Ruihong Yang, Junchao Tian, Yu Zhang

CVPR 2021 Sparse Multi-Path Corrections in Fringe Projection Profilometry Yu Zhang, Daniel Lau, David Wipf

ICCV 2021 Training Weakly Supervised Video Frame Interpolation with Events Zhiyang Yu, Yu Zhang, Deyuan Liu, Dongqing Zou, Xijun Chen, Yebin Liu, Jimmy S. Ren

CVPRW 2021 Unifying Guided and Unguided Outdoor Image Synthesis Muhammad Usman Rafique, Yu Zhang, Benjamin Brodie, Nathan Jacobs

ICLR 2021 WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen, Yu Zhang, Heiga Zen, Ron J Weiss, Mohammad Norouzi, William Chan

ECCV 2020 Deep Image Clustering with Category-Style Representation Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng

IJCAI 2020 Fast and Accurate Neural CRF Constituency Parsing Yu Zhang, Houquan Zhou, Zhenghua Li

AAAI 2020 Knowledge Distillation from Internal Representations Gustavo Aguilar, Yuan Ling, Yu Zhang, Benjamin Z. Yao, Xing Fan, Chenlei Guo

IJCAI 2020 Label Distribution for Learning with Noisy Labels Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng

IJCAI 2020 Label Enhancement for Label Distribution Learning via Prior Knowledge Yongbiao Gao, Yu Zhang, Xin Geng

ECCV 2020 Learning to See in the Dark with Events Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou

AAAI 2020 What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs About Domain Dynamics Ze Gong, Yu Zhang

CoRL 2019 End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan

AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

NeurIPSW 2019 Functional Annotation of Human Cognitive States Using Graph Convolution Networks Yu Zhang, Pierre Bellec

AAAI 2019 Gaussian Transformer: A Lightweight Approach for Natural Language Inference Maosheng Guo, Yu Zhang, Ting Liu

ICLR 2019 Hierarchical Generative Modeling for Controllable Speech Synthesis Wei-Ning Hsu, Yu Zhang, Ron J. Weiss, Heiga Zen, Yonghui Wu, Yuxuan Wang, Yuan Cao, Ye Jia, Zhifeng Chen, Jonathan Shen, Patrick Nguyen, Ruoming Pang

AAAI 2019 K3S: Knowledge-Driven Solution Support System Yu Zhang, Morteza Saberi, Min Wang, Elizabeth Chang

AAAI 2019 Learning (from) Deep Hierarchical Structure Among Features Yu Zhang, Lei Han

ICCVW 2019 RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images Changrui Chen, Yu Zhang, Qingxuan Lv, Shuo Wei, Xiaorui Wang, Xin Sun, Junyu Dong

ICCVW 2019 VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

AAAI 2018 Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Qiang Yang

AAAI 2018 Label Distribution Learning by Exploiting Label Correlations Xiuyi Jia, Weiwei Li, Junyu Liu, Yu Zhang

NeurIPS 2018 Learning to Multitask Yu Zhang, Ying Wei, Qiang Yang

AAAI 2018 Personalizing a Dialogue System with Transfer Reinforcement Learning Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang

ICML 2018 Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis Yuxuan Wang, Daisy Stanton, Yu Zhang, RJ-Skerry Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous

NeurIPS 2018 Transfer Learning from Speaker Verification to Multispeaker Text-to-Speech Synthesis Ye Jia, Yu Zhang, Ron Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui Wu

ICML 2018 Transfer Learning via Learning to Transfer Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang

AAAI 2018 Transferable Contextual Bandit for Cross-Domain Recommendation Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

IJCAI 2017 A Deep Neural Network for Chinese Zero Pronoun Resolution Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu

IJCAI 2017 Deep Neural Networks for High Dimension, Low Sample Size Data Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

AAAI 2017 Distant Domain Transfer Learning Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang

IJCAI 2017 End-to-End Adversarial Memory Network for Cross-Domain Sentiment Classification Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang

ICLR 2017 Latent Sequence Decompositions William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly

AAAI 2017 Learning Sparse Task Relations in Multi-Task Learning Yu Zhang, Qiang Yang

IJCAI 2017 Multimodal Linear Discriminant Analysis via Structural Sparsity Yu Zhang, Yuan Jiang

IJCAI 2017 Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, Subbarao Kambhampati

AAAI 2017 Recurrent Attentional Topic Model Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang

ICCV 2017 Supervision by Fusion: Towards Unsupervised Learning of Deep Salient Object Detector Dingwen Zhang, Junwei Han, Yu Zhang

NeurIPS 2017 Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu, Yu Zhang, James Glass

CVPR 2017 What Is and What Is Not a Salient Object? Learning Salient Object Detector by Ensembling Linear Exemplar Regressors Changqun Xia, Jia Li, Xiaowu Chen, Anlin Zheng, Yu Zhang

UAI 2016 Correlated Tag Learning in Topic Model Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang

CVPR 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai

AAAI 2016 Multi-Stage Multi-Task Learning with Reduced Rank Lei Han, Yu Zhang

AAAI 2016 Reduction Techniques for Graph-Based Convex Clustering Lei Han, Yu Zhang

CVPR 2015 3D Reconstruction in the Presence of Glasses by Acoustic and Stereo Fusion Mao Ye, Yu Zhang, Ruigang Yang, Dinesh Manocha

AAAI 2015 Discriminative Feature Grouping Lei Han, Yu Zhang

AAAI 2015 Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua

AAAI 2015 Learning Multi-Level Task Groups in Multi-Task Learning Lei Han, Yu Zhang

AAAI 2015 Multi-Task Learning and Algorithmic Stability Yu Zhang

CVPR 2015 Semantic Object Segmentation via Detection in Weakly Labeled Video Yu Zhang, Xiaowu Chen, Jia Li, Chen Wang, Changqun Xia

CVPR 2014 Compact Representation for Image Classification: To Choose or to Compress? Yu Zhang, Jianxin Wu, Jianfei Cai

AAAI 2014 Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework Lei Han, Yu Zhang, Guojie Song, Kunqing Xie

CVPR 2014 Towards Good Practices for Action Video Encoding Jianxin Wu, Yu Zhang, Weiyao Lin

NeurIPS 2013 Heterogeneous-Neighborhood-Based Multi-Task Local Learning Algorithms Yu Zhang

IJCAI 2013 Learning High-Order Task Relationships in Multi-Task Learning Yu Zhang, Dit-Yan Yeung

ECML-PKDD 2012 Multi-Task Boosting by Exploiting Task Relationships Yu Zhang, Dit-Yan Yeung

CVPR 2012 Reconstruction of Super-Resolution Lung 4D-CT Using Patch-Based Sparse Representation Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen

AAAI 2012 Supervised Probabilistic Robust Embedding with Sparse Noise Yu Zhang, Dit-Yan Yeung, Eric P. Xing

ECML-PKDD 2011 Discriminative Experimental Design Yu Zhang, Dit-Yan Yeung

AAAI 2011 Multi-Task Learning in Heterogeneous Feature Spaces Yu Zhang, Dit-Yan Yeung

UAI 2010 A Convex Formulation for Learning Task Relationships in Multi-Task Learning Yu Zhang, Dit-Yan Yeung

AAAI 2010 Adaptive Transfer Learning Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang

UAI 2010 Multi-Domain Collaborative Filtering Yu Zhang, Bin Cao, Dit-Yan Yeung

AISTATS 2010 Multi-Task Learning Using Generalized T Process Yu Zhang, Dit–Yan Yeung

CVPR 2010 Multi-Task Warped Gaussian Process for Personalized Age Estimation Yu Zhang, Dit-Yan Yeung

NeurIPS 2010 Probabilistic Multi-Task Feature Selection Yu Zhang, Dit-Yan Yeung, Qian Xu

AAAI 2010 Transductive Learning on Adaptive Graphs Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou

NeurIPS 2010 Worst-Case Linear Discriminant Analysis Yu Zhang, Dit-Yan Yeung

ECML-PKDD 2009 Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension Yu Zhang, Dit-Yan Yeung

ECML-PKDD 2009 Semi-Supervised Multi-Task Regression Yu Zhang, Dit-Yan Yeung

AAAI 2008 Semantic Web Development for Traditional Chinese Medicine Zhaohui Wu, Tong Yu, Huajun Chen, Xiaohong Jiang, Chunying Zhou, Yu Zhang, Yuxin Mao, Yi Feng, Meng Cui, Aining Yin

CVPR 2008 Semi-Supervised Discriminant Analysis Using Robust Path-Based Similarity Yu Zhang, Dit-Yan Yeung

ECML-PKDD 2008 Semi-Supervised Discriminant Analysis via CCCP Yu Zhang, Dit-Yan Yeung

IJCAI 2007 Automatic Acquisition of Context-Specific Lexical Paraphrases Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang