Ph.D. (Rutgers University)

M.Eng. (Chinese Academy of Sciences)

B.Sc. (Peking University)

Professor Huang received his B.Sc. degree from Peking University (1999), M.Eng. degree from the Chinese Academy of Sciences (2002), and Ph.D. degree from Rutgers University (2008). From 2008 to 2010, he conducted postdoctoral research at the Computational Biomedicine Imaging and Modeling Center of Rutgers University. He then returned to China and became a faculty member at Huazhong University of Science and Technology. From 2012 to 2016, he worked as a research scientist at NEC Laboratories China. He is currently an Associate Professor and a Presidential Young Fellow at The Chinese University of Hong Kong, Shenzhen.

His research focuses on computer vision, pattern recognition, image processing, and machine learning. In recent years, his work has primarily involved intelligent video analysis, robotic vision navigation, and autonomous driving. He has published over 100 academic papers in these fields and has led or participated in numerous projects funded by the National Natural Science Foundation of China, the Ministry of Science and Technology of China, and the Shenzhen Municipal Government.

Professor Huang has received several awards, including the Best Paper Award at the International Conference on Image and Graphics (ICIG) in 2023, the Second Prize in Natural Science at the Science and Technology Awards of the China Computer Federation (CCF) in 2018, the Best Student Paper Award at the IEEE International Conference on Multimedia and Expo (ICME) in 2014, and the First Prize for Excellent Academic Papers in Natural Science from Hubei Province in 2014. He has also supervised students who have achieved top rankings in international competitions, such as the Winner of the Raw to RGB Mapping Challenge at the International Conference on Computer Vision (ICCV) in 2019 and the Winner of the Global AI Challenge on Meteorology at the IEEE International Conference on Data Mining (ICDM) in 2018.

[J1] Denoised Non-Local Neural Network for Semantic Segmentation
Qi Song, Jie Li, Hao Guo, Rui Huang*
in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35, No. 5, 2024.

[J2] Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries
Qi Song, Qingyong Hu, Chi Zhang, Yongquan Chen, Rui Huang*
in IEEE Transactions on Image Processing (TIP), Vol. 33, 2024.

[J3] End-to-End Video Scene Graph Generation with Temporal Propagation Transformer
Yong Zhang, Yingwei Pan*, Ting Yao, Rui Huang*, Tao Mei, Chang-Wen Chen
in IEEE Transactions on Multimedia (TMM), Vol. 26, 2024.

[J4] From Front to Rear: 3D Semantic Scene Completion through Planar Convolution and Attention-based Network
Jie Li, Qi Song, Xiaohu Yan, Yongquan Chen, Rui Huang*
in IEEE Transactions on Multimedia (TMM), Vol. 25, 2023.

[J5] Boosting Scene Graph Generation with Visual Relation Saliency
Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen
in ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 19, No. 1, 2023. Q1

[J6] Unsupervised Monocular Depth Perception: Focusing on Moving Objects
Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang∗
in IEEE Sensors Journal, Vol. 21, No. 24. 2021. Featured Article

[J7] Cross-Modal Knowledge Adaptation for Language-Based Person Search
Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue, Bingpeng Ma
in IEEE Transactions on Image Processing (TIP), Vol. 30, No. 3, 2021.

[J8] Video-Based Pedestrian Re-Identification by Adaptive Spatio-Temporal Appearance Model
Wei Zhang, Bingpeng Ma, Kan Liu, Rui Huang*
in IEEE Transactions on Image Processing (TIP), Vol. 26, No. 4, 2017.

[J9] Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models
Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang
in IEEE Transactions on Medical Imaging (TMI), Vol. 35, No. 3, 2016.

[J10] A Level Set Method for Image Segmentation in Presence of Intensity Inhomogeneities with Application to MRI
Chunming Li, Rui Huang, Zhaohua Ding, J. Chris Gatenby, Dimitris N. Metaxas, John C. Gore
in IEEE Transactions on Image Processing (TIP), Vol. 20, No. 7, Jul, 2011.

[C1] SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models
Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, Ying Shan
in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’24), 2024.

[C2] Incremental 3D Reconstruction through Hybrid Explicit-and-Implicit Representation
Feifei Li, Panwen Hu, Qi Song, Rui Huang*
in IEEE International Conference on Robotics and Automation (ICRA’24), oral presentation, 2024.

[C3] A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model
Panwen Hu, Nan Xiao, Feifei Li, Yongquan Chen, Rui Huang*
in Proceedings of ACM Multimedia (ACM MM’23), 2023.

[C4] Learning to Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space
Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang*, Tao Mei, Chang-Wen Chen
in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’23), 2023.

[C5] Deep Semantic Statistics Matching (D2SM) Denoising Network
Kangfu Mei, Vishal M. Patel, Rui Huang*
in Proceedings of the European Conference on Computer Vision (ECCV’22), 2022.

[C6] Salient-to-Broad Transition for Video Person Re-identification
Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Xilin Chen
in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’22), 2022.

[C7] Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection
Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen
in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’22), 2022.

[C8] Fully Attentional Network for Semantic Segmentation
Qi Song, Jie Li, Chenghong Li, Hao Guo, Rui Huang*
in Proceeding of American Association for Artificial Intelligence (AAAI’22), 2022.

[C9] IMENet: Joint 3D Semantic Scene Completion and 2D Semantic Segmentation through Iterative Mutual Enhancement
Jie Li, Laiyan Ding, and Rui Huang*
in Proceeding of International Joint Conference on Artificial Intelligence (IJCAI’21), 2021.

[C10] BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, and Shiguang Shan
in Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’21), 2021.

[C11] AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
Qi Song, Kangfu Mei, Rui Huang*
in Proceeding of AAAI Conference on Artificial Intelligence (AAAI’21),2021.

[C12] Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion
Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li*, Rui Huang, Shuguang Cui
in Proceedings of AAAI Conference on Artificial Intelligence (AAAI’21), 2021.