Zhang, Jin

40 publications

NeurIPS 2025 A Single-Loop Gradient Algorithm for Pessimistic Bilevel Optimization via Smooth Approximation Qichao Cao, Shangzhi Zeng, Jin Zhang

NeurIPS 2025 Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond Risheng Liu, Zhu Liu, Weihao Mao, Wei Yao, Jin Zhang

AAAI 2025 CoMT: A Novel Benchmark for Chain of Multi-Modal Thought on Large Vision-Language Models Zihui Cheng, Qiguang Chen, Jin Zhang, Hao Fei, Xiaocheng Feng, Wanxiang Che, Min Li, Libo Qin

ICML 2025 Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang

ICCV 2025 IRGPT: Understanding Real-World Infrared Image with Bi-Cross-Modal Curriculum on Large-Scale Benchmark Zhe Cao, Jin Zhang, Ruiheng Zhang

ICLR 2025 Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang

NeurIPS 2025 MMCSBench: A Fine-Grained Benchmark for Large Vision-Language Models in Camouflage Scenes Jin Zhang, Ruiheng Zhang, Zhe Cao, Kaizheng Chen

ICLR 2025 Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions Wei Yao, Haian Yin, Shangzhi Zeng, Jin Zhang

ICLR 2025 qNBO: Quasi-Newton Meets Bilevel Optimization Sheng Fang, Yongjin Liu, Wei Yao, Chengming Yu, Jin Zhang

ICLR 2024 Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-Free Algorithm Wei Yao, Chengming Yu, Shangzhi Zeng, Jin Zhang

NeurIPS 2024 Generalization Error Bounds for Two-Stage Recommender Systems with Tree Structure Jin Zhang, Ze Liu, Defu Lian, Enhong Chen

ECCV 2024 Learning Camouflaged Object Detection from Noisy Pseudo Label Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan

ICML 2024 Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy Risheng Liu, Zhu Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

ICML 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity Tianshu Chu, Dachuan Xu, Wei Yao, Jin Zhang

AAAI 2024 Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract) Junzhe Ding, Yufei Que, Jin Zhang, Cheng Wu

ICML 2023 Averaged Method of Multipliers for Bi-Level Optimization Without Lower-Level Strong Convexity Risheng Liu, Yaohua Liu, Wei Yao, Shangzhi Zeng, Jin Zhang

AAAI 2023 Decision-Making Context Interaction Network for Click-Through Rate Prediction Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang, Dong Wang

CVPRW 2023 Efficient Deep Models for Real-Time 4k Image Super-Resolution. NTIRE 2023 Benchmark and Report Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

ICML 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang

AAAI 2023 Query-Aware Quantization for Maximum Inner Product Search Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen

ICCV 2023 The Devil Is in the Crack Orientation: A New Perspective for Crack Detection Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

ICLR 2022 Active Hierarchical Exploration with Stable Subgoal Representation Learning Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang

AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

NeurIPS 2022 CUP: Critic-Guided Policy Reuse Jin Zhang, Siyuan Li, Chongjie Zhang

CVPRW 2022 Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang

ECCVW 2022 Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He

CVPR 2022 Geometry-Aware Guided Loss for Deep Crack Recognition Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

IJCAI 2022 Learning Coated Adversarial Camouflages for Object Detectors Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He, Jin Zhang, Wu Zhang, Zhisong Pan

CVPRW 2022 NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

ICML 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-Training Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang

ECCVW 2022 Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei

ICML 2022 Value Function Based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems Lucy L Gao, Jane Ye, Haian Yin, Shangzhi Zeng, Jin Zhang

ECCV 2022 When Active Learning Meets Implicit Semantic Data Augmentation Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li

ICML 2021 A Value-Function-Based Interior-Point Method for Non-Convex Bi-Level Optimization Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

ICML 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang

NeurIPS 2021 Towards Gradient-Based Bilevel Optimization with Non-Convex Followers and Beyond Risheng Liu, Yaohua Liu, Shangzhi Zeng, Jin Zhang

ICML 2020 A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

JMLR 2020 Discerning the Linear Convergence of ADMM for Structured Convex Optimization Through the Lens of Variational Analysis Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

ICML 2015 Preference Completion: Large-Scale Collaborative Ranking from Pairwise Comparisons Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit Dhillon