CCF-A顶会论文：（一作及通信）

1. Gang He, Guancheng Quan, Chang Wu, Shihao Wang, Dajiang Zhou, Yunsong Li, "Multi-Frame Deformable Look-Up Table for Compressed Video Quality Enhancement", AAAI 2025, Proceedings of the AAAI Conference on Artificial Intelligence, 2025, 被 CCF-A 类会议、人工智能顶会AAAI 2025接收 （第一作者）
2. Chang Wu, Guancheng Quan, Gang He, Xin-Quan Lai, Yunsong Li, Wenxin Yu, Xianmeng Lin, Cheng Yang , "QS-NeRV: Real-Time Quality-Scalable Decoding with Neural Representation for Videos", ACM MM 2024, ，被 CCF-A 类会议、多媒体顶会ACM-MM 2024接收；(通信作者）
3. Kepeng Xu, Zijia Ma, Li Xu, Gang He, Yunsong Li, Wenxin Yu, Taichu Han, Cheng Yang, "An End-to-End Real-World Camera Imaging Pipeline", ACM MM 2024, ，被 CCF-A 类会议、多媒体顶会ACM-MM 2024接收；(通信作者）
4. Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li, "Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer", IJCAI-33th，Oct. 2024，被 CCF-A 类会议、多媒体顶会IJCAI-2024接收；(通信作者）
5. Gang He, Kepeng Xu, Li Xu, Chang Wu, Ming Sun, Xing Wen, Yu-Wing Tai, “SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping”，ACM MM 2022, Proceedings of the 20th International Conference on Multimedia, October 2022，被 CCF-A 类会议、多媒体顶会ACM MM 2022接收；（第一作者）
6. Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-wing Tai, “Transcoded Video Restoration by a Temporal Spatial Auxiliary Network"，Proceedings of the AAAI Conference on Artificial Intelligence. (通信作者) 已被 CCF-A类会议、人工智能顶会AAAI-2022接收; （通信作者）

期刊论文：（以下均SCI检索）

1. Chang Wu, Gang He, Yunsong Li, "PMCN: Parallax-motion collaboration network for stereo video dehazing", KBS, 2024, 中科院一区 （通讯作者）
2. Li Xu, Shaodi You, Gang He, Yunsong Li, "Pedestrian-Vehicle Information Modulation for Pedestrian Crossing Intention Prediction", IEEE Transactions on Intelligent Vehicles, accepted, 2024, 中科院一区 （通讯作者），IF 14.0
3. Gang He,Shaoyi Long,Li Xu,Chang Wu,Jinjia Zhou,Ming Sun,Xing Wen,Yurong Dai, "Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping", accepted, 2023，中科院二区 
4. Chang Wu, Gang He, Xinquan Lai, and Yunsong Li, "MPCNet: Compressed Multi-view Video Restoration via Motion-Parallax Complementation Network", Neural Networks，accepted, 2023，中科院一区 （通讯作者）
5. Gang He, Li Xu, Jie Lei, Weiying Xie, Yunsong Li, Yibo Fan, and Jinjia Zhou, “Interlayer Restoration Deep Neural Network for Scalable High Efficiency Video Coding," vol. 32, no. 5, pp. 3217-3234, May 2022, doi: 10.1109/TCSVT 中科院一区 IF: 4.133 Published: 2021.05 WOS:000790830300059
6. Gang He, Jiaping Zhong, Jie Lei, Yunsong Li, and Weiying Xie, “Hyperspectral pansharpening based on spectral constrained adversarial autoencoder,” Remote Sensing, vol. 11, no. 22, p. 2691, Nov. 2019. 中科院二区 IF: 4.118 Published: 2019.11.18 WOS: 000502284300096
7. Gang He, Jing Hu, Jiang Hao, and Yunsong Li, "Scalable Video Coding based on User’s View for Real-time Virtual Reality Applications", IEEE Communications Letters, Volume:22, Issue: 1, pp. 25-28, Jan. 2018. 中科院二区 IF: 3.457 Published: 2017.10.20 WOS: 000422706100006
8. Gang He, Dajiang Zhou, Yunsong Li, Zhixiang Chen, Ruotian Zhang, and Satoshi Goto, “High-Throughput Power-Efficient VLSI Architecture of Fractional Motion Estimation for Ultra-HD HEVC Video Encoding”, IEEE Transactions on Very Large Scale Integration (VLSI) systems, Volume:23, Issue: 12, pp.3138-3142, November, 2015. 中科院二区 IF: 1.964 WOS:000365206300039
9. Gang He, Shan Wu, Simin Pei, Li Xu, Kepeng Xu, Yunsong Li, "FM-VSR: Feature Multiplexing Video Super-Resolution for Compressed Video," in IEEE Access, vol. 9, pp. 88060-88068, 2021. 中科院二区 IF: 3.745
10. Gang He, Chang Wu, Li Xu, Lei Li, Ziyao Xu, Weiying Xie, and Yunsong Li,  "An Efficient Video Coding System With an Adaptive Overfitted Multi-Scale Attention Network," in IEEE Access, vol. 9, pp. 64022-64032, 2021. 中科院二区 IF: 3.745  WOS: 000645865500001
11. Gang He, Jing Hu, Yunsong Li, Wenxin Yu, Zhuo Yang, Peikun Liu and Xueruo Guo, "Fast mode decision and PU size decision algorithm for intra depth coding in 3D-HEVC", Journal of Visual Communication and Image Representation, Vol. 49, pp. 303-314, Nov. 2017. 中科院三区 IF: 2.259  WOS:000416613800025
12. Langkun Chen, Long Gao, Yan Jiang, Yunsong Li, Gang He, Jifeng Ning, "Local-Global Self-Attention for Transformer-based Object Tracking", TCSVT 中科院一区, 2024, accepted
13. Li Xu, Chang Wu, Linyi Huang, Shengyu Wei, Gang He, Yunsong Li, Xinquan Lai, “Towards coding for VoD application: An enhanced video compression system with a content-fitted recursive restoration network,” Digital Signal Processing, vol. 122, p. 103368, 2022, doi: 10.1016/j.dsp.2021.103368. 中科院二区，IF:  3.381 Published: 2022.03.15 WOS:000783115000001
14. Kai Jiang, Weiying Xie, Yunsong Li, Jie Lei, Gang He, and Qian Du, "Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 7, pp. 5224-5236, July 2020. （通讯作者）中科院一区 IF: 5.63 Published: 2020.02.26
15. Weiying Xie, Baozhu. Liu, Yunsong Li, Jie Lei, Chein-I. Chang, and Gang He, “Spectral Adversarial Feature Learning for Anomaly Detection in Hyperspectral Imagery," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2352-2365, April 2020.（通讯作者）中科院一区 IF: 5.63 Published: 2019.11.06  WOS:000538748900008
16. Weiying Xie, Jian Yang, Jie Lei, Yunsong Li, Qian Du, and Gang He, “SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection," in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 2, pp. 1463-1474, Feb. 2020. （通讯作者）中科院一区 IF: 5.63 Published: 2019.10.29  WOS:000510710600058
17. Jing Hu, Xiuping Jia, Yunsong Li, Gang He, and Minghua Zhao, “Hyperspectral image super-resolution via intrafusion network,” IEEE Transactions on Geoscience and Remote Sensing, 2020. （通讯作者）中科院一区 IF: 5.63 --
18. Jing Hu, Gang He*, and Yunsong Li, “Fast Algorithm Based on the Sole- and Multi-depth Texture Measurements for HEVC Intra Coding”, Journal of Visual Communication and Image Representation, Vol. 40, Part B, pp. 671-681, Oct. 2016. （通讯作者）中科院三区 IF: 2.259  WOS:000384398600022
19. Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Ning Jiang, Gang He, and Zhuo Yang, “Customizable gan: A method for image synthesis of human controllable,” IEEE Access, vol. 8, pp. 108 004–108 017, June 2020. 中科院二区 IF: 4.098
20. Gang He, Dajiang Zhou, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, “A High-Performance H.264/AVC Intra Prediction Architecture for Ultra-HD Video Applications”, IEEE Transactions on Very Large Scale Integration (VLSI) systems, Volume:22, Issue: 1, pp.76-89, January, 2014. 中科院二区 IF: 1.964 Published: 2013.01.25  WOS:000329067400007
21. Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, “A 530Mpixels/s intra prediction architecture for ultra-high definition H.264/AVC encoder”, IEICE Transactions on Electronics, Vol. E94-C, No. 4, pp. 419-427, April, 2011. 
22. Man M. Ho, Jinjia Zhou, and Gang He,  "RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling-Based Video Coding," in IEEE Transactions on Image Processing, vol. 30, pp. 1702-1715, 2021. 中科院一区 IF: 9.34 WOS:000608685000002
23. Dajiang Zhou, Jinjia Zhou, Gang He, and Satoshi Goto, “A 1.59Gpixel/s motion estimation processor with -211 to +211 search range for UHDTV video encoder”, IEEE Journal of Solid-State Circuits (JSSC), Vol. 49, No. 4, pp. 827-837, April, 2014. 中科院一区
24. Yichao Lu, Gang He, Guifen Tian, and Satoshi Goto, “Hybrid Message-Passing Algorithm and Architecture for Decoding Cyclic Non-binary LDPC Codes”, IEICE Transactions on Fundamentals, Vol. E96-A, No. 12, pp. 2652-2659, December, 2013
25. Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, “Cache based motion compensation architecture for quad-HD H.264/AVC video decoder”, IEICE Transactions on Electronics, Vol. E94-C, No. 4, pp. 439-447, April, 2011.

会议论文:（以下均为EI检索）

1. Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li, "Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer", IJCAI-33th，Oct. 2024，被 CCF-A 类会议、多媒体顶会IJCAI-2024接收；(通信作者）
2. Gang He, Kepeng Xu, Li Xu, Chang Wu, Ming Sun, Xing Wen, Yu-Wing Tai, “SDRTV-to-HDRTV via Hierarchical Dynamic Context Feature Mapping”，ACM MM 2022, Proceedings of the 20th International Conference on Multimedia, October 2022，被 CCF-A 类会议、多媒体顶会AAAI-2022接收；
3. Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-wing Tai, “Transcoded Video Restoration by a Temporal Spatial Auxiliary Network"，Proceedings of the AAAI Conference on Artificial Intelligence. (通信作者) 已被 CCF-A类会议、人工智能顶会AAAI-2022接收; （通信作者）
4. Gang He, Kepeng Xu, Chang Wu, Zijia Ma, Xing Wen, “Hybrid video coding scheme based on VVC and spatio-temporal attention convolutional neural network", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR\'2022), Challenge on Learned Image Compression, 2022.
5. Gang He, Yong Wang, Li Xu, Wenli Zhang, Ming Sun, Xing Wen, “Feature Differentiation Network for Image Quality Assessment", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR\'2022), Challenge on Learned Image Compression, 2022.
6. Kepeng Xu, Gang He, “DNAS: A Decoupled Global Neural Architecture Search Method", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR\'2022), Challenge on Learned Image Compression, 2022. (通信作者)
7. Gang He, Chang Wu, Lei Li, Jinjia Zhou, Xianglin Wang, Yunfei Zheng, Bing Yu, and Weiying Xie, “A video compression framework using an overfitted restoration neural network,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR\'2020), Challenge on Learned Image Compression, 2020.
8. Man M. Ho, Gang He, Zheng Wang, and Jinjia Zhou, “Down-sampling based video coding with degradation-aware restoration-reconstruction deep neural network,” in International Conference on Multimedia Modeling (MMM\'2020) 2020, pp. 99–110.  Best Paper
9. Siyuan Li, Lu Lu, Zhiqiang Zhang, Xin Cheng, Kepeng Xu, Wenxin Yu, Gang He, Jinjia Zhou, and Zhuo Yang, "INTERACTIVE SEPARATION NETWORK FOR IMAGE INPAINTING", IEEE Conference on Image Processing (ICIP’2020)
10. Gang He, Jing Hu, Yunsong Li, and Wenxin Yu, “Fast Algorithm Based on Sole- and Multi-depth Measurements for HEVC Intra Coding,” IEEE Conference on Image Processing (ICIP’2016), pp.1131-1135, Fenix, USA, 2016.
11. Ruixue Guo, Gang He, Yunsong Li and Keyan Wang, “Fast Algorithm for Prediction Unit and Mode Decisions of Intra Depth Coding in 3D-HEVC,” IEEE Conference on Image Processing (ICIP’2016), pp.1121-1125, Fenix, USA, 2016.
12. Peikun Liu, Gang He, and Yunsong Li, “A Fast Mode Selection for Depth Modelling Modes of Intra Depth Coding in 3D-HEVC,” VCIP’2016, pp. 1-4, Chengdu, China, 2016.
13. Gang He, Dajiang Zhou, Zhixiang Chen, Tianruo Zhang and Satoshi Goto, “A 995Mpixels/s 0.2nJ/pixel fractional motion estimation architecture in HEVC for Ultra-HD”, IEEE Asian Solid State Circuit Conference (A-SSCC’2013),Singapore, pp. 301-304, Nov., 2013.
14. Gang He, Dajiang Zhou, and Satoshi Goto, “Transform-based fast mode and depth decision algorithm for HEVC intra prediction”, IEEE International Conference on ASIC(ASICON’2013), Shenzhen, China, pp.621-624, Oct., 2013.
15. Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, “A 1991 Mpixels/s intra prediction architecture for Super Hi-Vision H.264/AVC encoder”, European Signal Processing Conference (EUSIPCO’2012), Bucharest, Romania, pp. 1054-1058, August, 2012.
16. Gang He, Dajiang Zhou, Jinjia Zhou, and Satoshi Goto, “Intra prediction architecture for H.264/AVC QFHD encoder”, Picture Coding Symposium(PCS’2010), Nagoya, Japan, pp. 450-453, December, 2010.
17. Dajiang Zhou,Gang He, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, “A 4320p 60fps H.264/AVC intra-fr[ant]ame encoder chip with 1.41Gbins/s CABAC”, Symposium on VLSI Circuits (VLSI’2012), Honolulu, USA, pp. 154-155, June, 2012.
18. Dajiang Zhou,Gang He, Wei Fei, Zhixiang Chen, Jinjia Zhou, and Satoshi Goto, “A 24.5-53.6pJ/pixel 4320p 60fps H.264/AVC intra-fr[ant]ame video encoder chip in 65nm CMOS”, Asia and South Pacific Design Automation Conference (ASP-DAC’2013), Yokohama, Japan, January, 2013, University Design Contest.
19. Jinjia Zhou, Dajiang Zhou, Gang He, and Satoshi Goto, “A 1.59Gpixel/s Motion Estimation Processor with -211-to-211 Search Range for UHDTV Video Encoder”, Symposium on VLSI Circuits (VLSI’2013), Kyoto, Japan, pp. 287-288, June, 2013.
20. Jiayi Zhu, Dajiang Zhou,Gang He, and Satoshi Goto, “A combined SAO and De-blocking filter architecture for HEVC video decoder”, International Conference on Image Processing (ICIP’2013), Melbourne, Australia, pp.1967-1971, Sep., 2013.
21. Wenxin Yu, Weichen Wang, Gang He, and Satoshi Goto, “Combined Hole-filling with Spatial and Temporal Prediction”, International Conference on Image Processing (ICIP’2013), Melbourne, Australia, pp.3196-3200, Sep., 2013.
22. Jinjia Zhou, Dajiang Zhou,Gang He, and Satoshi Goto, “A 16-65 cycles/MB H.264/AVC motion compensation architecture for quad-HD applications”, European Signal Processing Conference (EUSIPCO’2011), Barcelona, Spain, pp. 728-733, August, 2011.
23. Jinjia Zhou, Dajiang Zhou,Gang He, and Satoshi Goto, “A bandwidth reduction scheme and its VLSI implementation for H.264/AVC motion vector decoding”, Pacific Rim Conference on Multimedia (PCM’2010), Shanghai, China, pp. 52-61, September, 2010.

Gang He, Jiang Hao, and Yunsong Li，“High definition video coding based on the customer’s view for VR system”，IEEE1857.9_M1007; AVSVR_M1007

[1] 发明专利：基于图像重构卷积神经网络的低码率视频编解码方法， 发明人：何刚，王正，蒋昊，李云松， 专利号：ZL 201910182160.5.9， 专利申请日：2019年03月21日， 授权日：2020年06月05日 （已授权）

[2] 发明专利：基于高效视频编码标准的离散余弦变换实现方法， 发明人：何刚，刘长昊，李云松， 专利号：ZL 201710242830.9， 专利申请日：2017年04月14日， 授权日：2019年08月27日 （已授权）

[3] 发明专利：基于HEVC熵编码器的集成电路设计方法， 发明人：李云松，李殊仪，何刚， 专利号：ZL 201710255725.9， 专利申请日：2017年04月9日， 授权日：2019年07月16日 （已授权）

[4] 发明专利：基于编码损伤修复的视频超分辨方法， 发明人：何刚，陈星如，李云松， 专利号：ZL 201910967743.9， 专利申请日：2019年10月12日 （已公开）

[5] 发明专利：基于局部自适应伽马校正的图像对比度增强实现方法， 发明人：何刚，徐莉，李云松， 专利号：ZL 201910808481.1， 专利申请日：2019年08月29日（已公开）

[6] 发明专利：基于编码损伤修复CNN的空域可分级视频编码方法， 发明人：何刚，陈星如，李云松， 专利号：ZL 201910809236.2， 专利申请日：2019年08月29日（已公开）

[7] 发明专利：基于神经网络的自学习视频编解码技术， 发明人：何刚，蒋昊，李云松， 专利号：ZL 201910585090.8， 专利申请日：2019年07月01日

基于HEVC熵编码器的集成电路设计方法，李云松，李淑仪，何刚，2017-04-19, 中国, CN201710255725.9

基于层的3D-HEVC深度图帧内预测编码方法，王柯俨，郭瑞雪，何刚，李云松，胡静，刘培坤，2016-07-20, 中国, CN201610172216.5.

基于SATD复用的HEVC帧内预测方法，李云松，朱哲，何刚，2017-04-13, 中国, CN201710240244.0.

[1] 陕西高等学校科学技术奖二等奖

[2] 担任“雅芯-天图”宇航级高速图像处理芯片项目的指导老师，获第五届中国“互联网+”大赛全国金奖