Publications

2023

• From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution. Jie Liu, Chao Chen, Jie Tang, and Gangshan Wu. Accepted by AAAI, 2023.

2022

• IAA-VSR: An iterative alignment algorithm for video super-resolution. Jie Liu, Jie Tang, and Gangshan Wu. Appl. Intell. 52(14): 16572-16585 (2022).
• Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu. CVPR Workshops 2022: 852-861.
• Hierarchical Feature Aggregation Network for Deep Image Compression.Wenfeng Li, Zongcai Du, Hao He, Jie Tang, Gangshan Wu. ICASSP 2022: 1875-1879.
• Pyramid Fusion Attention Network For Single Image Super-Resolution.Hao He, Zongcai Du, Wenfeng Li, Jie Tang, Gangshan Wu. ICASSP 2022: 2165-2169.
• Two Strategies Toward Lightweight Image Super-Resolution. Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu. ICASSP 2022: 4478-4482.

2021

• Anchor-based Plain Net for Mobile Image Super-Resolution. Zongcai Du, Jie Liu, **Jie Tang**, Gangshan Wu. CVPR Workshops 2021: 2494-2502.
• Lightweight Human Pose Estimation under Resource-Limited Scenes.Zhe Zhang, Jie Tang, Gangshan Wu. ICASSP 2021: 2170-2174
• Learning Discriminative Features for Semi-Supervised Anomaly Detection.Zhe Feng, Jie Tang, Yishun Dou, Gangshan Wu. ICASSP 2021: 2935-2939
• AdaDM: Enabling Normalization for Image Super-Resolution.Jie Liu, Jie Tang, Gangshan Wu. CoRR abs/2111.13905 (2021)

2020

• Residual Feature Aggregation Network for Image Super-Resolution. Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu. CVPR 2020: 2356-2365.

• Belief Map Enhancement Network for Accurate Human Pose Estimation. Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu. ECAI 2020: 2736-2743.

• AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni. ECCV Workshops (3) 2020: 5-40.
• Residual feature distillation network for lightweight image super-resolution. Jie Liu, Jie Tang, Gangshan Wu. ECCV Workshops (3) 2020: 41-55.
• Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network.Minqiang Zou, Jie Tang, Gangshan Wu. ICASSP 2020: 2398-2402.
• Memory Recursive Network for Single Image Super-Resolution. Jie Liu, Minqiang Zou, Jie Tang, Gangshan Wu. ACM Multimedia 2020: 2202-2210.

2010-2019

• Personalized Recommendation of Photography Based on Deep Learning.Zhixiang Ji, Jie Tang, Gangshan Wu.MMM (1) 2019: 214-226.
• Simple and Lightweight Human Pose Estimation.Zhe Zhang, Jie Tang, Gangshan Wu. CoRR abs/1911.10346 (2019).
• A Parallel Method for All-Pair SimRank Similarity Computation.Xuan Huang, Xingkun Gao, Jie Tang, Gangshan Wu. ICA3PP (1) 2018: 593-607.
• Deep convolutional neural networks for pedestrian detection with skip pooling.Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu. IJCNN 2017: 2056-2063.
• Improving Scheduling Efficiency of Hadoop YARN Using AFSA Algorithm.Jie Tang, Junlei Gao, Gangshan Wu. ISPA/IUCC 2017: 919-924.
• Scalable Single-Source SimRank Computation for Large Graphs.Xingkun Gao, Nianyuan Bao, Jie Liu, Jie Tang, Gangshan Wu. ICPADS 2016: 1083-1091.
• Pre-stack Kirchhoff Time Migration on Hadoop and Spark.Chen Yang, Jie Tang, Heng Gao, Gangshan Wu. ICA3PP (3) 2015: 190-202.
• A New Data Replication Scheme for PVFS2.Nianyuan Bao, Jie Tang, Xiaoyu Zhang, Gangshan Wu. ICA3PP (3) 2015: 475-491.
• A Dynamic Extension and Data Migration Method Based on PVFS.Xiaoyu Zhang, Jie Tang, Heng Gao, Gangshan Wu. ICA3PP (2) 2015: 540-552.
• Parallel surface reconstruction on GPU.Heng Gao, Jie Tang, Gangshan Wu. ICIMCS 2015: 54:1-54:5
• A MapReduce Computing Framework Based on GPU Cluster.Heng Gao, Jie Tang, Gangshan Wu. HPCC/EUC 2013: 1902-1907.
• Interective Point Clouds Fairing on Many-Core System.Jie Tang, Gangshan Wu, Bo Xu, Zhongliang Gong. ISPA 2010: 557-562.
• Fast approximate geodesic paths on triangle mesh.Jie Tang, Gangshan Wu, Fuyan Zhang, Mingmin Zhang. Int. J. Autom. Comput. 4(1): 8-13 (2007).