A Simple and Robust Deep Convolutional Approach to Blind Image Denoising. - Hengyuan Zhao; Wenze Shao; Bingkun Bao; Haibo Li 001 (ICCV Workshops, 2019)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

Efficient Image Super-Resolution Using Pixel Attention. - Hengyuan Zhao; Xiangtao Kong; Jingwen He; Yu Qiao 001; Chao Dong 005 (ECCV Workshops (3), 2020)

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. - Xiangtao Kong; Hengyuan Zhao; Yu Qiao 001; Chao Dong 005 (CVPR, 2021)

Color2Style: Real-Time Exemplar-Based Image Colorization with Self-Reference Learning and Deep Feature Modulation. - Hengyuan Zhao; Wenhao Wu; Yihao Liu 001; Dongliang He (CoRR, 2021)

An Iterative Majorization-Minimization Approach to Deep Denoiser-Plugged Image Inpainting. - Hengyuan Zhao; Wenze Shao; Fukun Zhu; Peng Yan; Qi Ge; Zhuang Miao (CISP-BMEI, 2022)

Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm. - Hengyuan Zhao; Hao Luo 004; Yuyang Zhao; Pichao Wang; Fan Wang 019; Mike Zheng Shou (CoRR, 2023)

Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator. - Henry Hengyuan Zhao; Pan Zhou 002; Mike Zheng Shou (CoRR, 2023)

Very Lightweight Photo Retouching Network With Conditional Sequential Modulation. - Yihao Liu 001; Jingwen He; Xiangyu Chen 006; Zhengwen Zhang; Hengyuan Zhao; Chao Dong 005; Yu Qiao 001 (IEEE Trans. Multim., 2023)

Evaluating the Generalization Ability of Super-Resolution Networks. - Yihao Liu 001; Hengyuan Zhao; Jinjin Gu; Yu Qiao 001; Chao Dong 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GENIXER: Empowering Multimodal Large Language Model as a Powerful Data Generator. - Henry Hengyuan Zhao; Pan Zhou 002; Mike Zheng Shou (ECCV (23), 2024)

Reference Prompted Model Adaptation for Referring Camouflaged Object Detection. - Xuewei Liu; Shaofei Huang 001; Ruipu Wu; Hengyuan Zhao; Duo Xu; Xiaoming Wei; Jizhong Han; Si Liu 001 (ICME, 2024)

LOVA3: Learning to Visual Question Answering, Asking and Assessment. - Henry Hengyuan Zhao; Pan Zhou 002; Difei Gao; Zechen Bai; Mike Zheng Shou (NeurIPS, 2024)

LOVA3: Learning to Visual Question Answering, Asking and Assessment. - Henry Hengyuan Zhao; Pan Zhou 002; Difei Gao; Mike Zheng Shou (CoRR, 2024)

SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels. - Henry Hengyuan Zhao; Pichao Wang; Yuyang Zhao; Hao Luo 004; Fan Wang 019; Mike Zheng Shou (Int. J. Comput. Vis., 2024)

Temporally consistent video colorization with deep feature propagation and self-regularization learning. - Yihao Liu 001; Hengyuan Zhao; Kelvin C. K. Chan; Xintao Wang 002; Chen Change Loy; Yu Qiao 001; Chao Dong 005 (Comput. Vis. Media, 2024)

WorldGUI: Dynamic Testing for Comprehensive Desktop GUI Automation. - Henry Hengyuan Zhao; Difei Gao; Mike Zheng Shou (CoRR, 2025)

InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback. - Henry Hengyuan Zhao; Wenqi Pei; Yifei Tao; Haiyang Mei; Mike Zheng Shou (CoRR, 2025)

Feather-SQL: A Lightweight NL2SQL Framework with Dual-Model Collaboration Paradigm for Small Language Models. - Wenqi Pei; Hailing Xu; Hengyuan Zhao; Shizheng Hou; Han Chen; Zining Zhang 001; Pingyi Luo; Bingsheng He (CoRR, 2025)

LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models. - Hengyuan Zhao; Ziqin Wang; Qixin Sun; Kaiyou Song; Yilin Li; Xiaolin Hu 001; Qingpei Guo; Si Liu 001 (CoRR, 2025)