A Key Volume Mining Deep Framework for Action Recognition. - Wangjiang Zhu; Jie Hu 019; Gang Sun 005; Xudong Cao; Yu Qiao 001 (CVPR, 2016)

Squeeze-and-Excitation Networks. - Jie Hu 019; Li Shen 005; Gang Sun 005 (CVPR, 2018)

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Andrea Vedaldi (NeurIPS, 2018)

Squeeze-and-Excitation Networks. - Jie Hu 019; Li Shen 005; Samuel Albanie; Gang Sun 005; Enhua Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Involution: Inverting the Inherence of Convolution for Visual Recognition. - Duo Li; Jie Hu 019; Changhu Wang; Xiangtai Li; Qi She; Lei Zhu 012; Tong Zhang 001; Qifeng Chen (CVPR, 2021)

Learning the Superpixel in a Non-Iterative and Lifelong Manner. - Lei Zhu 012; Qi She; Bin Zhang; Yanye Lu; Zhilin Lu; Duo Li; Jie Hu 019 (CVPR, 2021)

Unifying Nonlocal Blocks for Neural Networks. - Lei Zhu 012; Qi She; Duo Li; Yanye Lu; Xuejing Kang; Jie Hu 019; Changhu Wang (ICCV, 2021)

Elastic-Link for Binarized Neural Network. - Jie Hu 019; Ziheng Wu; Vince Junkai Tan; Zhilin Lu; Mengze Zeng; Enhua Wu (CoRR, 2021)

Elastic-Link for Binarized Neural Networks. - Jie Hu 019; Ziheng Wu; Vince Junkai Tan; Zhilin Lu; Mengze Zeng; Enhua Wu (AAAI, 2022)

Elastic Aggregation for Federated Optimization. - Dengsheng Chen; Jie Hu 019; Vince Junkai Tan; Xiaoming Wei; Enhua Wu (CVPR, 2023)

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework. - Dengsheng Chen; Vince Junkai Tan; Zhilin Lu; Enhua Wu; Jie Hu 019 (CVPR Workshops, 2023)

Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification. - Jie Hu 019; Mengze Zeng; Enhua Wu (ICASSP, 2023)

Rethinking skip connection model as a learnable Markov chain. - Dengsheng Chen; Jie Hu 019; Wenwen Qiang; Xiaoming Wei; Enhua Wu (ICLR, 2023)

Real3D: The Curious Case of Neural Scene Degeneration. - Dengsheng Chen; Jie Hu 019; Xiaoming Wei; Enhua Wu (AAAI, 2024)

Self-Supervised Representation Learning with Meta Comprehensive Regularization. - Huijie Guo; Ying Ba; Jie Hu 019; Lingyu Si; Wenwen Qiang; Lei Shi 002 (AAAI, 2024)

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. - Qirui Ji; Jiangmeng Li; Jie Hu 019; Rui Wang 079; Changwen Zheng; Fanjiang Xu (AAAI, 2024)

Deformable 3D Shape Diffusion Model. - Dengsheng Chen; Jie Hu 019; Xiaoming Wei; Enhua Wu (CoRR, 2024)

Fine-gained Zero-shot Video Sampling. - Dengsheng Chen; Jie Hu 019; Xiaoming Wei; Enhua Wu (CoRR, 2024)

Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input. - Jiajun Liu; Yibing Wang; Hanghang Ma; Xiaoping Wu; Xiaoqi Ma; Xiaoming Wei; Jianbin Jiao; Enhua Wu; Jie Hu 019 (CoRR, 2024)

High-Resolution Image Synthesis via Next-Token Prediction. - Dengsheng Chen; Jie Hu 019; Tiezhu Yue; Xiaoming Wei (CoRR, 2024)

CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder. - Lichen Ma; Tiezhu Yue; Pei Fu; Yujie Zhong; Kai Zhou; Xiaoming Wei; Jie Hu 019 (CoRR, 2024)

RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction. - Xiaoping Wu; Jie Hu 019; Xiaoming Wei (CoRR, 2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. - Xingzhe Su; Wenwen Qiang; Jie Hu 019; Changwen Zheng; Fengge Wu; Fuchun Sun 001 (Int. J. Comput. Vis., 2024)

Denoising with a Joint-Embedding Predictive Architecture. - Dengsheng Chen; Jie Hu 019; Xiaoming Wei; Enhua Wu (ICLR, 2025)

Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models. - Huijie Liu; Jingyun Wang; Shuai Ma; Jie Hu 019; Xiaoming Wei; Guoliang Kang (CoRR, 2025)

Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes. - Huijie Liu; Bingcan Wang; Jie Hu 019; Xiaoming Wei; Guoliang Kang (CoRR, 2025)

Image Editing with Diffusion Models: A Survey. - Jia Wang; Jie Hu 019; Xiaoqi Ma; Hanghang Ma; Xiaoming Wei; Enhua Wu (CoRR, 2025)