Jiezhang Cao - RankMe

86 papers A* 16A 1C 1Journal 56Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amplitude exchanging network for unsupervised underwater image enhancement. Pattern Recognit. Runhao Zeng, Xionglin Zhu, Wenfu Peng, Jiezhang Cao, Yong Guo, Zhihua Wang, Qiuping Jiang
2026	J	`jnl`	Deep LoRA-Unfolding Networks for Image Restoration. CoRR Xiangming Wang, Haijin Zeng, Benteng Sun, Jiezhang Cao, Kai Zhang, Qiangqiang Shen, Yongyong Chen
2026	J	`jnl`	Deep LoRA-Unfolding Networks for Image Restoration. IEEE Trans. Image Process. Xiangming Wang, Haijin Zeng, Benteng Sun, Jiezhang Cao, Kai Zhang, Qiangqiang Shen, Yongyong Chen
2026	J	`jnl`	Facial quality assessment of digital humans: A dual-branch framework integrating morphological harmony and expressive coordination. Displays Li Xu, Yingjie Zhou, Sitong Liu, Farong Wen, Yu Zhou, Xiaohong Liu, Jie Guo, Yu Wang, Jiezhang Cao
2025	—	`conf`	A Light-Aware Quality Assessment Method for Relighted Human Heads Based on Multi-task Learning. PRCV (12) Farong Wen, Yingjie Zhou, Zicheng Zhang, Xiaohong Liu, Jia Wang, Jiezhang Cao, Yu Wang, Guangtao Zhai
2025	—	`conf`	CDHQA: A Quality Assessment Database for Conversational Digital Human. ICIG (3) Yingjie Zhou, Jing Wan, Sitong Liu, Yinghan Xia, Zhixiang Lu, Farong Wen, Zicheng Zhang, Yu Wang, Yu Zhou, Xiaohong Liu, Xiongkuo Min, Jiezhang Cao, Guangtao Zhai
2025	J	`jnl`	Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. Haijin Zeng, Kai Feng, Xudong Zhao, Jiezhang Cao, Shaoguang Huang, Hiep Luong, Wilfried Philips
2025	J	`jnl`	EvalTalker: Learning to Evaluate Real-Portrait-Driven Multi-Subject Talking Humans. CoRR Yingjie Zhou, Xilei Zhu, Siyu Ren, Ziyi Zhao, Ziwen Wang, Farong Wen, Yu Zhou, Jiezhang Cao, Xiongkuo Min, Fengjiao Chen, Xiaoyu Li, Xuezhi Cao, Guangtao Zhai, Xiaohong Liu
2025	J	`jnl`	FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring. CoRR Xiaoyang Liu, Zhengyan Zhou, Zihang Xu, Jiezhang Cao, Zheng Chen, Yulun Zhang
2025	J	`jnl`	Freqformer: Image-Demoiréing Transformer via Efficient Frequency Decomposition. CoRR Xiaoyang Liu, Bolin Qiu, Jiezhang Cao, Zheng Chen, Yulun Zhang, Xiaokang Yang
2025	J	`jnl`	Large multimodal models evaluation: a survey. Sci. China Inf. Sci. Zicheng Zhang, Junying Wang, Farong Wen, Yijin Guo, Xiangyu Zhao, Xinyu Fang, Shengyuan Ding, Ziheng Jia, Jiahao Xiao, Ye Shen, Yushuo Zheng, Xiaorong Zhu, Yalun Wu, Ziheng Jiao, Wei Sun, Zijian Chen, Kaiwei Zhang, Kang Fu, Yuqin Cao, Ming Hu, Yue Zhou, Xuemei Zhou, Juntai Cao, Wei Zhou, Jinyu Cao, Ronghui Li, Donghao Zhou, Yuan Tian, Xiangyang Zhu, Chunyi Li, Haoning Wu, Xiaohong Liu, Junjun He, Yu Zhou, Hui Liu, Lin Zhang, Zesheng Wang, Huiyu Duan, Yingjie Zhou, Xiongkuo Min, Qi Jia, Dongzhan Zhou, Wenlong Zhang, Jiezhang Cao, Xue Yang, Junzhi Yu, Songyang Zhang, Haodong Duan, Guangtao Zhai
2025	—	`conf`	Mipmap-GS: Let Gaussians Deform with Scale-Specific Mipmap for Anti-Aliasing Rendering. 3DV Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool
2025	—	`conf`	NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. CVPR Workshops Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin
2025	J	`jnl`	NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. CoRR Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin
2025	A*	`conf`	One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. ICML Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
2025	J	`jnl`	One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation. CoRR Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang
2025	J	`jnl`	One-Step Diffusion Model for Image Motion-Deblurring. CoRR Xiaoyang Liu, Yuquan Wang, Zheng Chen, Jiezhang Cao, He Zhang, Yulun Zhang, Xiaokang Yang
2025	A*	`conf`	Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution. AAAI Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen
2025	J	`jnl`	Who is a Better Player: LLM against LLM. CoRR Yingjie Zhou, Jiezhang Cao, Farong Wen, Li Xu, Yanwei Jiang, Jun Jia, Ronghui Li, Xiaohong Liu, Yu Zhou, Xiongkuo Min, Jie Guo, Zicheng Zhang, Guangtao Zhai
2025	J	`jnl`	Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads. CoRR Yingjie Zhou, Jiezhang Cao, Zicheng Zhang, Farong Wen, Yanwei Jiang, Jun Jia, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai
2024	—	`—`	Deep Beyond Pixels: Enhancing Super-Resolution via Deep Learning. Jiezhang Cao
2024	A*	`conf`	Deep Equilibrium Diffusion Restoration with Parallel Sampling. CVPR Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2024	A*	`conf`	DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CVPR Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen
2024	J	`jnl`	Distillation-Free One-Step Diffusion for Real-World Image Super-Resolution. CoRR Jianze Li, Jiezhang Cao, Zichen Zou, Xiongfei Su, Xin Yuan, Yulun Zhang, Yong Guo, Xiaokang Yang
2024	A*	`conf`	Dual Prior Unfolding for Snapshot Compressive Imaging. CVPR Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao
2024	J	`jnl`	Inheriting Bayer's Legacy: Joint Remosaicing and Denoising for Quad Bayer Image Sensor. Int. J. Comput. Vis. Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Wilfried Philips
2024	J	`jnl`	MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis. CoRR Yingjie Zhou, Zicheng Zhang, Jiezhang Cao, Jun Jia, Yanwei Jiang, Farong Wen, Xiaohong Liu, Xiongkuo Min, Guangtao Zhai
2024	A*	`conf`	MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. NeurIPS Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu
2024	J	`jnl`	MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. CoRR Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu
2024	J	`jnl`	Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool
2024	J	`jnl`	Towards Lightweight Super-Resolution With Dual Regression Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yong Guo, Mingkui Tan, Zeshuai Deng, Jingdong Wang, Qi Chen, Jiezhang Cao, Yanwu Xu, Jian Chen
2024	A*	`conf`	Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. CVPR Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, Hiep Luong, Wilfried Philips
2024	J	`jnl`	VRT: A Video Restoration Transformer. IEEE Trans. Image Process. Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool
2023	A*	`conf`	CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Deep Equilibrium Diffusion Restoration with Parallel Sampling. CoRR Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising. CoRR Haijin Zeng, Jiezhang Cao, Kai Feng, Shaoguang Huang, Hongyan Zhang, Hiep Luong, Wilfried Philips
2023	—	`conf`	Denoising Diffusion Models for Plug-and-Play Image Restoration. CVPR Workshops Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Denoising Diffusion Models for Plug-and-Play Image Restoration. CoRR Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool
2023	J	`jnl`	DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. CoRR Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen
2023	A*	`conf`	Event-Based Frame Interpolation with Ad-hoc Deblurring. CVPR Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Kai Zhang, Jiezhang Cao, Qi Jiang, Kaiwei Wang, Luc Van Gool
2023	J	`jnl`	Event-Based Frame Interpolation with Ad-hoc Deblurring. CoRR Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool
2023	J	`jnl`	Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor. CoRR Haijin Zeng, Kai Feng, Jiezhang Cao, Shaoguang Huang, Yongqiang Zhao, Hiep Luong, Jan Aelterman, Wilfried Philips
2023	—	`conf`	LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool
2023	J	`jnl`	Learning defense transformations for counterattacking adversarial examples. Neural Networks Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan
2023	A	`conf`	LocalViT: Analyzing Locality in Vision Transformers. IROS Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Michele Magno, Luca Benini, Luc Van Gool
2023	J	`jnl`	MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing. CoRR Haijin Zeng, Kai Feng, Shaoguang Huang, Jiezhang Cao, Yongyong Chen, Hongyan Zhang, Hiep Luong, Wilfried Philips
2023	J	`jnl`	Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. Mach. Intell. Res. Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool
2022	J	`jnl`	CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2022	J	`jnl`	Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Practical Real Video Denoising with Realistic Degradation Model. CoRR Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool
2022	A*	`conf`	Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool
2022	J	`jnl`	Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool
2022	—	`conf`	Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool
2022	J	`jnl`	Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool
2022	—	`conf`	Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool
2022	J	`jnl`	Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool
2022	J	`jnl`	Towards Lightweight Super-Resolution with Dual Regression Learning. CoRR Yong Guo, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Jian Chen, Mingkui Tan
2022	J	`jnl`	Towards interpreting deep neural networks via layer behavior understanding. Mach. Learn. Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan
2022	J	`jnl`	VRT: A Video Restoration Transformer. CoRR Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool
2021	J	`jnl`	Internal Wasserstein Distance for Adversarial Attack and Defense. CoRR Mingkui Tan, Shuhai Zhang, Jiezhang Cao, Jincheng Li, Yanwu Xu
2021	J	`jnl`	Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan
2021	J	`jnl`	Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu
2021	J	`jnl`	LocalViT: Bringing Locality to Vision Transformers. CoRR Yawei Li, Kai Zhang, Jiezhang Cao, Radu Timofte, Luc Van Gool
2021	J	`jnl`	Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2021	—	`conf`	SwinIR: Image Restoration Using Swin Transformer. ICCVW Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
2021	J	`jnl`	SwinIR: Image Restoration Using Swin Transformer. CoRR Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
2021	J	`jnl`	Video Super-Resolution Transformer. CoRR Jiezhang Cao, Yawei Li, Kai Zhang, Luc Van Gool
2020	J	`jnl`	A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays. CoRR Chendi Rao, Jiezhang Cao, Runhao Zeng, Qi Chen, Huazhu Fu, Yanwu Xu, Mingkui Tan
2020	A*	`conf`	Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan
2020	J	`jnl`	Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. CoRR Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan
2020	—	`conf`	Generative Low-Bitwidth Data Free Quantization. ECCV (12) Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
2020	J	`jnl`	Generative Low-bitwidth Data Free Quantization. CoRR Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan
2020	J	`jnl`	Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2020	J	`jnl`	Joint Wasserstein Distribution Matching. CoRR Jiezhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
2019	—	`conf`	From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang
2019	A*	`conf`	Multi-marginal Wasserstein GAN. NeurIPS Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
2019	J	`jnl`	Multi-marginal Wasserstein GAN. CoRR Jiezhang Cao, Langyuan Mo, Yifan Zhang, Kui Jia, Chunhua Shen, Mingkui Tan
2019	J	`jnl`	Online Adaptive Asymmetric Active Learning with Limited Budgets. CoRR Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
2019	A*	`conf`	Oversampling for Imbalanced Data via Optimal Transport. AAAI Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu
2018	A*	`conf`	Adversarial Learning with Local Coordinate Coding. ICML Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018	J	`jnl`	Adversarial Learning with Local Coordinate Coding. CoRR Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan
2018	J	`jnl`	Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss. CoRR Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan
2018	A*	`conf`	Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. KDD Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan
2017	C	`conf`	On the Flatness of Loss Surface for Two-layered ReLU Networks. ACML Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang, Mingkui Tan
2017	A*	`conf`	Tensor Based Relations Ranking for Multi-relational Collective Classification. ICDM Chao Han, Qingyao Wu, Michael K. Ng, Jiezhang Cao, Mingkui Tan, Jian Chen