Zhang, Qi

184 publications

IJCAI 2025 2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting Wei Feng, Kangrui Ye, Qi Zhang, Qian Zhang, Nan Li
AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment Through Meta-Learning Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
AAAI 2025 Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting Jingru Fei, Kun Yi, Wei Fan, Qi Zhang, Zhendong Niu
JMLR 2025 An Augmentation Overlap Theory of Contrastive Learning Qi Zhang, Yifei Wang, Yisen Wang
AAAI 2025 Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu
NeurIPS 2025 BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset Zhiheng Xi, Guanyu Li, YuTao Fan, Honglin Guo, Yufang Liu, Xiaoran Fan, Jiaqi Liu, Dingjinchao, Wangmeng Zuo, Zhenfei Yin, Lei Bai, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
ICLR 2025 Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang
ICCV 2025 BokehDiff: Neural Lens Blur with One-Step Diffusion Chengxuan Zhu, Qingnan Fan, Qi Zhang, Jinwei Chen, Huaqi Zhang, Chao Xu, Boxin Shi
ICCV 2025 Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-Language Pre-Training Weiwei Cao, Jianpeng Zhang, Zhongyi Shui, Sinuo Wang, Zeli Chen, Xi Li, Le Lu, Xianghua Ye, Qi Zhang, Tingbo Liang, Ling Zhang
IJCAI 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang
AAAI 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism Jianing He, Qi Zhang, Hongyun Zhang, Xuanjing Huang, Usman Naseem, Duoqian Miao
ICCV 2025 CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models Gaoyang Zhang, Bingtao Fu, Qingnan Fan, Qi Zhang, Runxing Liu, Hong Gu, Huaqi Zhang, Xinguo Liu
TMLR 2025 Convergence Guarantees for RMSProp and Adam in Generalized-Smooth Non-Convex Optimization with Affine Noise Variance Qi Zhang, Yi Zhou, Shaofeng Zou
TMLR 2025 Decision-Focused Surrogate Modeling for Mixed-Integer Linear Optimization Shivi Dixit, Rishabh Gupta, Qi Zhang
IJCAI 2025 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion Haolong Xiang, Xiaolong Xu, Guangdong Wang, Xuyun Zhang, Xiaoyong Li, Qi Zhang, Amin Beheshti, Wei Fan
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
NeurIPS 2025 EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang
CVPR 2025 Generative Hard Example Augmentation for Semantic Point Cloud Segmentation Qi Zhang, Jibin Peng, Zhao Huang, Wei Feng, Di Lin
ICLR 2025 Have the VLMs Lost Confidence? a Study of Sycophancy in VLMs Shuo Li, Tao Ji, Xiaoran Fan, Linsheng Lu, Leyi Yang, Yuming Yang, Zhiheng Xi, Rui Zheng, Yuran Wang, Xh.Zhao, Tao Gui, Qi Zhang, Xuanjing Huang
IJCAI 2025 Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection Jianing He, Qi Zhang, Duoqian Miao, Kun Yi, Shufeng Hao, Hongyun Zhang, Zhihua Wei
TMLR 2025 Large Action Models: From Inception to Implementation Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
TMLR 2025 Large Language Model-Brained GUI Agents: A Survey Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
ICLR 2025 Large-Scale and Fine-Grained Vision-Language Pre-Training for Enhanced CT Image Understanding Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang
ICLR 2025 MGDA Converges Under Generalized Smoothness, Provably Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji
AAAI 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong
CVPR 2025 Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh Xiangjun Gao, Xiaoyu Li, Yiyu Zhuang, Qi Zhang, Wenbo Hu, Chaopeng Zhang, Yao Yao, Ying Shan, Long Quan
ICLR 2025 MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao
AAAI 2025 MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao
CVPR 2025 Mitigating Ambiguities in 3D Classification with Gaussian Splatting Ruiqi Zhang, Hao Zhu, Jingyi Zhao, Qi Zhang, Xun Cao, Zhan Ma
ICLR 2025 OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang
AAAI 2025 Position-Aware Guided Point Cloud Completion with CLIP Model Feng Zhou, Qi Zhang, Ju Dai, Lei Li, Qing Fan, Junliang Xing
NeurIPS 2025 Pre-Trained Policy Discriminators Are General Reward Models Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, Haijun Lv, Demin Song, Songyang Gao, Chengqi Lyu, Enyu Zhou, Honglin Guo, Zhiheng Xi, Qipeng Guo, Wenwei Zhang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Kai Chen
ICLR 2025 Projection Head Is Secretly an Information Bottleneck Zhuo Ouyang, Kaiwen Hu, Qi Zhang, Yifei Wang, Yisen Wang
IJCAI 2025 RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang
ICLR 2025 RMB: Comprehensively Benchmarking Reward Models in LLM Alignment Enyu Zhou, Guodong Zheng, Binghai Wang, Zhiheng Xi, Shihan Dou, Rong Bao, Wei Shen, Limao Xiong, Jessica Fan, Yurong Mou, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
IJCAI 2025 Recalling the Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang
NeurIPS 2025 Revealing Multimodal Causality with Large Language Models Jin Li, Shoujin Wang, Qi Zhang, Feng Liu, Tongliang Liu, Longbing Cao, Shui Yu, Fang Chen
ICLR 2025 Revisiting Large-Scale Non-Convex Distributionally Robust Optimization Qi Zhang, Yi Zhou, Simon Khan, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
ICLR 2025 RuAG: Learned-Rule-Augmented Generation for Large Language Models Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
NeurIPS 2025 SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
ICCV 2025 SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views Under Unconstrained Illuminations Qi Zhang, Chi Huang, Qian Zhang, Nan Li, Wei Feng
ICLR 2025 Self-Evolved Reward Learning for LLMs Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang
IJCAI 2025 Sentiment-Enhanced Multi-Hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He
CVPR 2025 TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution Linwei Dong, Qingnan Fan, Yihong Guo, Zhonghao Wang, Qi Zhang, Jinwei Chen, Yawei Luo, Changqing Zou
NeurIPS 2025 Understanding Parametric and Contextual Knowledge Reconciliation Within Large Language Models Jun Zhao, Yongzhuo Yang, Xiang Hu, Jingqi Tong, Yi Lu, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang
AAAI 2025 View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection Qi Zhang, Zhouhang Luo, Tao Yu, Hui Huang
AAAI 2025 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
TMLR 2025 Zoomer: Adaptive Image Focus Optimization for Black-Box MLLM Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu
ICML 2024 $\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen, Qi Zhang
AAAI 2024 A Pre-Convolved Representation for Plug-and-Play Neural Illumination Fields Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng, Xiaoyu Li, Ying Shan, Xun Cao
ECCV 2024 Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration Zhihao Liang, Qi Zhang, Wenbo Hu, Ying Feng, Lei Zhu, Kui Jia
CVPR 2024 ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis Xiangjun Gao, Xiaoyu Li, Chaopeng Zhang, Qi Zhang, Yanpei Cao, Ying Shan, Long Quan
NeurIPSW 2024 Convergence Rates of Bayesian Network Policy Gradient for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen, Zhenyu Zhang, Xiaolong Kuang, Xinyang Shen, Ozalp Ozer, Qi Zhang
IJCAI 2024 Deep Frequency Derivative Learning for Non-Stationary Time Series Forecasting Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An
CVPR 2024 FINER: Flexible Spectral-Bias Tuning in Implicit NEural Representation by Variable-Periodic Activation Functions Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao
NeurIPS 2024 FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
AAAI 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
CVPR 2024 GS-IR: 3D Gaussian Splatting for Inverse Rendering Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia
ECCV 2024 Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360° Yuxiao He, Yiyu Zhuang, Yanwen Wang, Yao Yao, Siyu Zhu, Xiaoyu Li, Qi Zhang, Xun Cao, Hao Zhu
CVPR 2024 HumanNorm: Learning Normal Diffusion Model for High-Quality and Realistic 3D Human Generation Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wang
CVPR 2024 HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion Jingbo Zhang, Xiaoyu Li, Qi Zhang, Yanpei Cao, Ying Shan, Jing Liao
IJCAI 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
ECCV 2024 IRGen: Generative Modeling for Image Retrieval Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo
ICLR 2024 Improving Generalization of Alignment with Human Preferences Through Group Invariant Learning Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
AAAI 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang
AAAI 2024 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
ICML 2024 Linear Alignment: A Closed-Form Solution for Aligning Human Preferences Without Tuning and Feedback Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin
ICML 2024 Look Ahead or Look Around? a Theoretical Comparison Between Autoregressive and Masked Pretraining Qi Zhang, Tianqi Du, Haotian Huang, Yifei Wang, Yisen Wang
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 Mahalanobis Distance-Based Multi-View Optimal Transport for Multi-View Crowd Localization Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang
CVPRW 2024 Multi-Angle Consistent Generative NeRF with Additive Angular Margin Momentum Contrastive Learning Hang Zou, Hui Zhang, Yuan Zhang, Hui Ma, Dexin Zhao, Qi Zhang, Qi Li
AAAI 2024 Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting Qi Zhang, Yunfei Gong, Daijie Chen, Antoni B. Chan, Hui Huang
ECCV 2024 Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending Delong Wu, Hao Zhu, Qi Zhang, You Li, Xun Cao, Zhan Ma
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
ICLR 2024 Non-Negative Contrastive Learning Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
ECCVW 2024 Online Learning via Memory: Retrieval-Augmented Detector Adaptation Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis
ECCV 2024 Physically Plausible Color Correction for Neural Radiance Fields Qi Zhang, Ying Feng, Hongdong Li
NeurIPS 2024 Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo, Dingyang Chen, Qi Zhang
AAAI 2024 Selective Focus: Investigating Semantics Sensitivity in Post-Training Quantization for Lane Detection Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
ICLRW 2024 Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models Xianjun Yang, Xiao Wang, Qi Zhang, Linda Ruth Petzold, William Yang Wang, Xun Zhao, Dahua Lin
AAAI 2024 Text Diffusion with Reinforced Conditioning Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang
ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang
NeurIPS 2023 A Comprehensive Study on Text-Attributed Graphs: Benchmarking and Rethinking Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
AAAI 2023 A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai
ICLR 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang, Qi Zhang, Tianqi Du, Jiansheng Yang, Zhouchen Lin, Yisen Wang
ICML 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning Dingyang Chen, Qi Zhang
CVPR 2023 DINER: Disorder-Invariant Implicit Neural Representation Shaowen Xie, Hao Zhu, Zhen Liu, Qi Zhang, You Zhou, Xun Cao, Zhan Ma
NeurIPSW 2023 Delve into PPO: Implementation Matters for Stable RLHF Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
CVPR 2023 Fine-Grained Face Swapping via Regional GAN Inversion Zhian Liu, Maomao Li, Yong Zhang, Cairong Wang, Qi Zhang, Jue Wang, Yongwei Nie
NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
NeurIPS 2023 Frequency-Domain MLPs Are More Effective Learners in Time Series Forecasting Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu
NeurIPS 2023 Identifiable Contrastive Learning with Automatic Feature Importance Discovery Qi Zhang, Yifei Wang, Yisen Wang
CVPR 2023 Inverting the Imaging Process by Learning an Implicit Camera Model Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Qing Wang
NeurIPSW 2023 Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
CVPR 2023 Local Implicit Ray Function for Generalizable Radiance Field Representation Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang
CVPR 2023 Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields Yue Chen, Xingyu Chen, Xuan Wang, Qi Zhang, Yu Guo, Ying Shan, Fei Wang
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
NeurIPS 2023 Model-Enhanced Vector Index Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui
CVPRW 2023 NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Jun Shi, Dafeng Zhang, Yong A, Yixiang Jin, Dingzhe Li, Chao Li, Zhiwen Liu, Qi Zhang, Yixing Wang, Shi Yin
ICML 2023 On the Generalization of Multi-Modal Contrastive Learning Qi Zhang, Yifei Wang, Yisen Wang
ICCV 2023 SLAN: Self-Locator Aided Network for Vision-Language Understanding Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng
AAAI 2023 Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai
CVPRW 2023 The Second Monocular Depth Estimation Challenge Jaime Spencer, C. Stella Qian, Michaela Trescakova, Chris Russell, Simon Hadfield, Erich W. Graf, Wendy J. Adams, Andrew J. Schofield, James H. Elder, Richard Bowden, Ali Anwar, Hao Chen, Xiaozhi Chen, Kai Cheng, Yuchao Dai, Huynh Thai Hoa, Sadat Hossain, Jianmian Huang, Mohan Jing, Bo Li, Chao Li, Baojun Li, Zhiwen Liu, Stefano Mattoccia, Siegfried Mercelis, Myungwoo Nam, Matteo Poggi, Xiaohua Qi, Jiahui Ren, Yang Tang, Fabio Tosi, Linh Trinh, S. M. Nadim Uddin, Khan Muhammad Umair, Kaixuan Wang, Yufei Wang, Yixing Wang, Mochu Xiang, Guangkai Xu, Wei Yin, Jun Yu, Qi Zhang, Chaoqiang Zhao
CVPR 2023 UV Volumes for Real-Time Rendering of Editable Free-View Human Performance Yue Chen, Xuan Wang, Xingyu Chen, Qi Zhang, Xiaoyu Li, Yu Guo, Jue Wang, Fei Wang
ICCV 2023 VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang
CVPR 2023 Wide-Angle Rectification via Content-Aware Conformal Mapping Qi Zhang, Hongdong Li, Qing Wang
AAAI 2022 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Sai Qian Zhang, Jieyu Lin, Qi Zhang
NeurIPS 2022 A Neural Corpus Indexer for Document Retrieval Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang
IJCAI 2022 A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
ECCVW 2022 AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
ECML-PKDD 2022 An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
AAAI 2022 CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
ECCV 2022 Calibration-Free Multi-View Crowd Counting Qi Zhang, Antoni B. Chan
ICLR 2022 Chaos Is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap Yifei Wang, Qi Zhang, Yisen Wang, Jiansheng Yang, Zhouchen Lin
ICLR 2022 Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games Dingyang Chen, Yile Li, Qi Zhang
ICMLW 2022 Convergence and Price of Anarchy Guarantees of the SoftMax Policy Gradient in Markov Potential Games Dingyang Chen, Qi Zhang, Thinh T. Doan
ICMLW 2022 Convergence and Price of Anarchy Guarantees of the SoftMax Policy Gradient in Markov Potential Games Dingyang Chen, Qi Zhang, Thinh T. Doan
CVPR 2022 Deblur-NeRF: Neural Radiance Fields from Blurry Images Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander
CVPR 2022 FENeRF: Face Editing in Neural Radiance Fields Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang
CVPR 2022 HDR-NeRF: High Dynamic Range Neural Radiance Fields Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
CVPR 2022 Hallucinated Neural Radiance Fields in the Wild Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang
ICML 2022 HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
NeurIPS 2022 How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders Qi Zhang, Yifei Wang, Yisen Wang
ECCV 2022 Neural Color Operators for Sequential Image Retouching Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding
NeurIPS 2022 Outlier Suppression: Pushing the Limit of Low-Bit Transformer Language Models Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
ECCV 2022 PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji
ECCV 2022 Unifying Event Detection and Captioning as Sequence Generation via Pre-Training Qi Zhang, Yuqing Song, Qin Jin
NeurIPSW 2021 A Meta-Gradient Approach to Learning Cooperative Multi-Agent Communication Topology Qi Zhang, Dingyang Chen
CVPRW 2021 Adaptive Spatial-Temporal Fusion of Multi-Objective Networks for Compressed Video Perceptual Enhancement He Zheng, Xin Li, Fanglong Liu, Lielin Jiang, Qi Zhang, Fu Li, Qingqing Dang, Dongliang He
ICLR 2021 BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, Fengwei Yu, Wei Wang, Shi Gu
NeurIPSW 2021 Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games Dingyang Chen, Yile Li, Qi Zhang
CVPR 2021 Cross-View Cross-Scene Multi-View Crowd Counting Qi Zhang, Wei Lin, Antoni B. Chan
NeurIPSW 2021 DRL-Clusters: Buffer Management with Clustering Based Deep Reinforcement Learning Kai Li, Qi Zhang, Lei Yu, Hong Min
AAAI 2021 Efficient Querying for Cooperative Probabilistic Commitments Qi Zhang, Edmund H. Durfee, Satinder Singh
ECML-PKDD 2021 Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
AAAI 2021 Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu
AAAI 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu
IJCAI 2021 UNBERT: User-News Matching BERT for News Recommendation Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He
AAAI 2021 Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu
AAAI 2020 3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels Qi Zhang, Antoni B. Chan
AAAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
IJCAI 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang
AAAI 2020 Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement Qi Zhang, Edmund H. Durfee, Satinder Singh
AAAI 2020 Neural Question Generation with Answer Pivot Bingning Wang, Xiaochuan Wang, Ting Tao, Qi Zhang, Jingfang Xu
AAAI 2020 ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Xiaochuan Wang
AAAI 2020 Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study Jinlan Fu, Pengfei Liu, Qi Zhang
AAAI 2020 Spatio-Temporal Graph Structure Learning for Traffic Forecasting Qi Zhang, Jianlong Chang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
NeurIPS 2020 Spectral Temporal Graph Neural Network for Multivariate Time-Series Forecasting Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
AAAI 2020 Storytelling from an Image Stream Using Scene Graphs Ruize Wang, Zhongyu Wei, Piji Li, Qi Zhang, Xuanjing Huang
NeurIPS 2020 Succinct and Robust Multi-Agent Communication with Temporal Message Control Sai Qian Zhang, Qi Zhang, Jieyu Lin
IJCAI 2019 CNN-Based Chinese NER with Lexicon Rethinking Tao Gui, Ruotian Ma, Qi Zhang, Lujun Zhao, Yu-Gang Jiang, Xuanjing Huang
ECML-PKDD 2019 Cold-Start Recommendation for On-Demand Cinemas Beibei Li, Beihong Jin, Taofeng Xue, Kunchi Liu, Qi Zhang, Sihua Tian
AAAI 2019 Cooperative Multimodal Approach to Depression Detection in Twitter Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen
NeurIPS 2019 Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control Sai Qian Zhang, Qi Zhang, Jieyu Lin
IJCAI 2019 GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction Shen Fang, Qi Zhang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
IJCAI 2019 Learning Task-Specific Representation for Novel Words in Sequence Labeling Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang
AAAI 2019 Learning to Communicate and Solve Visual Blocks-World Tasks Qi Zhang, Richard L. Lewis, Satinder Singh, Edmund H. Durfee
AAAI 2019 Long Short-Term Memory with Dynamic Skip Connections Tao Gui, Qi Zhang, Lujun Zhao, Yaosong Lin, Minlong Peng, Jingjing Gong, Xuanjing Huang
ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou
AAAI 2019 Trainable Undersampling for Class-Imbalance Learning Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Xuanjing Huang, Yu-Gang Jiang, Keyu Ding, Zhigang Chen
AAAI 2018 Adaptive Co-Attention Network for Named Entity Recognition in Tweets Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang
AAAI 2018 Neural Networks Incorporating Dictionaries for Chinese Word Segmentation Qi Zhang, Xiaoyu Liu, Jinlan Fu
IJCAI 2018 Neural Networks Incorporating Unlabeled and Partially-Labeled Data for Cross-Domain Chinese Word Segmentation Lujun Zhao, Qi Zhang, Peng Wang, Xiaoyu Liu
CVPR 2017 4D Light Field Superpixel and Segmentation Hao Zhu, Qi Zhang, Qing Wang
NeurIPS 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference Yuanbin Wu, Man Lan, Shiliang Sun, Qi Zhang, Xuanjing Huang
IJCAI 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network Qi Zhang, Jiawen Wang, Haoran Huang, Xuanjing Huang, Yeyun Gong
IJCAI 2017 Mention Recommendation for Twitter with End-to-End Memory Network Haoran Huang, Qi Zhang, Xuanjing Huang
IJCAI 2016 Commitment Semantics for Sequential Decision Making Under Reward Uncertainty Qi Zhang, Edmund H. Durfee, Satinder Singh, Anna Chen, Stefan J. Witwicki
AAAI 2016 Discourse Relations Detection via a Mixed Generative-Discriminative Framework Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang
IJCAI 2016 Hashtag Recommendation Using Attention-Based Convolutional Neural Network Yuyun Gong, Qi Zhang
AAAI 2015 Retweet Behavior Prediction Using Hierarchical Dirichlet Process Qi Zhang, Yeyun Gong, Ya Guo, Xuanjing Huang
ICML 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods Zirui Zhou, Qi Zhang, Anthony Man-Cho So
CVPR 2014 100+ Times Faster Weighted Median Filter (WMF) Qi Zhang, Li Xu, Jiaya Jia
ECCV 2014 Multi-Modal and Multi-Spectral Registration for Natural Images Xiaoyong Shen, Li Xu, Qi Zhang, Jiaya Jia
JMLR 2014 Optimality of Graphlet Screening in High Dimensional Variable Selection Jiashun Jin, Cun-Hui Zhang, Qi Zhang
ECCV 2014 Rolling Guidance Filter Qi Zhang, Xiaoyong Shen, Li Xu, Jiaya Jia
IJCAI 2013 Learning Topical Translation Model for Microblog Hashtag Suggestion Zhuoye Ding, Xipeng Qiu, Qi Zhang, Xuanjing Huang
ECCV 2012 The Leiden Augmented Reality System (LARS) Qi Zhang, Michael S. Lew
ECCVW 2012 The Leiden Augmented Reality System (LARS) Qi Zhang, Michael S. Lew
ICML 2009 Sparse Higher Order Conditional Random Fields for Improved Sequence Labeling Xian Qian, Xiaoqian Jiang, Qi Zhang, Xuanjing Huang, Lide Wu
ICML 2002 Content-Based Image Retrieval Using Multiple-Instance Learning Qi Zhang, Sally A. Goldman, Wei Yu, Jason E. Fritts
JMLR 2002 Multiple-Instance Learning of Real-Valued Data Daniel R. Dooly, Qi Zhang, Sally A. Goldman, Robert A. Amar
NeurIPS 2001 EM-DD: An Improved Multiple-Instance Learning Technique Qi Zhang, Sally A. Goldman
ICML 2001 Multiple-Instance Learning of Real-Valued Data Robert A. Amar, Daniel R. Dooly, Sally A. Goldman, Qi Zhang