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ORCIDJie Tang 0006
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology, tate Key Laboratory for Novel Software Technology, Nanjing, China
Other persons with the same name
- Jie Tang — disambiguation page
- Jie Tang 0001
![[0000-0003-3487-4593]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3487-4593")
— Tsinghua University, Department of Computer Science and Technology, Beijing, China - Jie Tang 0002 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China (and 2 more)
- Jie Tang 0003 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Tang 0004 — Chinese Academy of Sciences, Shanghai Advanced Research Institute, China
- Jie Tang 0005 (aka: Tang Jie 0005) — George Mason University, Fairfax, VA, USA (and 1 more)
- Jie Tang 0007 — Nanjing University of Information Science and Technology, School of Management Science and Engineering, China (and 1 more)
- Jie Tang 0008 — Airbnb Inc., San Francisco, CA, USA
- Jie Tang 0009 — East China Jiaotong University, School of Information Engineering, Nanchang, China
- Jie Tang 0010 — Sichuan Vocational and Technical College of Communications, Department of Rail Transit, Chengdu, China
- Jie Tang 0011 — Beijing University of Posts and Telecommunications, School of Economics and Management, Beijing, China (and 1 more)
- Jie Tang 0012 — University of Hong Kong (and 1 more)
- Jie Tang 0013 — Wuhan Fourth Hospital, Department of Orthopaedics, Wuhan, China
- Jie Tang 0014 — Capital Medical University, Xuanwu Hospital, Department of Neurosurgery, Beijing, China
- Jie Tang 0015 — National University of Defense Technology, College of Intelligence Science, Changsha, China
Other persons with a similar name
- Tang-Jie Cai
- Tang-Jie Chang
- Jie Tang Yan Huang
- Changjie Tang (aka: Chang-jie Tang)
- Titus Jia Jie Tang
- Xin Jie Tang
- Yang-Jie Tang
- Yi-jie Tang
- Shaojie Tang 0001 (aka: Shao-Jie Tang 0001) — University at Buffalo, Department of Management Science and Systems, NY, USA (and 1 more)
- Tang Ying-Jie
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2020 – today
- 2024
[c36]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. AAAI 2024: 1001-1009- [c35]Tianrui Pan, Jie Liu, Bohan Wang, Jie Tang, Gangshan Wu:
RAVSS: Robust Audio-Visual Speech Separation in Multi-Speaker Scenarios with Missing Visual Cues. ACM Multimedia 2024: 4748-4756 - [i13]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. CoRR abs/2401.14729 (2024) - [i12]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang:
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation. CoRR abs/2407.10756 (2024) - 2023
- [c34]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution. AAAI 2023: 1666-1674 - [c33]Yuan Huang, Yuting Tang, Xiu Zheng, Jie Tang:
CPD-GAN: Cascaded Pyramid Deformation GAN for Pose Transfer. ICASSP 2023: 1-5 - [c32]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. ICCV 2023: 9555-9566 - [c31]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. IJCAI 2023: 1786-1794 - [c30]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. ACM Multimedia 2023: 2353-2361 - [i11]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (2023) - [i10]Haonan Wang, Jie Liu, Jie Tang, Gangshan Wu:
Lightweight Super-Resolution Head for Human Pose Estimation. CoRR abs/2307.16765 (2023) - [i9]Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu:
Robust Object Modeling for Visual Tracking. CoRR abs/2308.05140 (2023) - [i8]Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxuan Zhang, Juanzi Li, Bin Xu, Yuxiao Dong, Ming Ding, Jie Tang:
CogAgent: A Visual Language Model for GUI Agents. CoRR abs/2312.08914 (2023) - 2022
- [j2]Jie Liu, Jie Tang, Gangshan Wu:
IAA-VSR: An iterative alignment algorithm for video super-resolution. Appl. Intell. 52(14): 16572-16585 (2022) - [c29]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CVPR Workshops 2022: 852-861 - [c28]Yawei Li, Kai Zhang, Radu Timofte, Luc Van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoglu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gao, Dengwen Zhou, Qian Ning, Jingzhu Tang, Han Huang, Yufei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang:
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c27]Wenfeng Li, Zongcai Du, Hao He, Jie Tang, Gangshan Wu:
Hierarchical Feature Aggregation Network for Deep Image Compression. ICASSP 2022: 1875-1879 - [c26]Hao He, Zongcai Du, Wenfeng Li, Jie Tang, Gangshan Wu:
Pyramid Fusion Attention Network For Single Image Super-Resolution. ICASSP 2022: 2165-2169 - [c25]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Two Strategies Toward Lightweight Image Super-Resolution. ICASSP 2022: 4478-4482 - [i7]Zongcai Du, Ding Liu, Jie Liu, Jie Tang, Gangshan Wu, Lean Fu:
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution. CoRR abs/2204.08397 (2022) - [i6]Jie Liu, Chao Chen, Jie Tang, Gangshan Wu:
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution. CoRR abs/2211.16776 (2022) - 2021
- [c24]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-Based Plain Net for Mobile Image Super-Resolution. CVPR Workshops 2021: 2494-2502 - [c23]Zhe Zhang, Jie Tang, Gangshan Wu:
Lightweight Human Pose Estimation under Resource-Limited Scenes. ICASSP 2021: 2170-2174 - [c22]Zhe Feng, Jie Tang, Yishun Dou, Gangshan Wu:
Learning Discriminative Features for Semi-Supervised Anomaly Detection. ICASSP 2021: 2935-2939 - [i5]Zongcai Du, Jie Liu, Jie Tang, Gangshan Wu:
Anchor-based Plain Net for Mobile Image Super-Resolution. CoRR abs/2105.09750 (2021) - [i4]Jie Liu, Jie Tang, Gangshan Wu:
AdaDM: Enabling Normalization for Image Super-Resolution. CoRR abs/2111.13905 (2021) - 2020
- [c21]Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu:
Residual Feature Aggregation Network for Image Super-Resolution. CVPR 2020: 2356-2365 - [c20]Jie Liu, Yishun Dou, Wenjie Zhang, Jie Tang, Gangshan Wu:
Belief Map Enhancement Network for Accurate Human Pose Estimation. ECAI 2020: 2736-2743 - [c19]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:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c18]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. ECCV Workshops (3) 2020: 41-55 - [c17]Minqiang Zou, Jie Tang, Gangshan Wu:
Low Complexity Single Image Super-Resolution with Channel Splitting and Fusion Network. ICASSP 2020: 2398-2402 - [c16]Jie Liu, Minqiang Zou, Jie Tang, Gangshan Wu:
Memory Recursive Network for Single Image Super-Resolution. ACM Multimedia 2020: 2202-2210 - [i3]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, 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, Liang Chen, Xiaotong Luo, 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. Victor 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:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i2]Jie Liu, Jie Tang, Gangshan Wu:
Residual Feature Distillation Network for Lightweight Image Super-Resolution. CoRR abs/2009.11551 (2020)
2010 – 2019
- 2019
- [c15]Zhixiang Ji, Jie Tang, Gangshan Wu:
Personalized Recommendation of Photography Based on Deep Learning. MMM (1) 2019: 214-226 - [i1]Zhe Zhang, Jie Tang, Gangshan Wu:
Simple and Lightweight Human Pose Estimation. CoRR abs/1911.10346 (2019) - 2018
- [c14]Yilin Feng, Jie Tang, Chongjun Wang, Junyuan Xie:
CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search. ICA3PP (1) 2018: 421-436 - [c13]Xuan Huang, Xingkun Gao, Jie Tang, Gangshan Wu:
A Parallel Method for All-Pair SimRank Similarity Computation. ICA3PP (1) 2018: 593-607 - [c12]Yilin Feng, Jie Tang, Meilin Liu, Chongjun Wang, Junyuan Xie:
Fast Document Cosine Similarity Self-Join on GPUs. ICTAI 2018: 205-212 - 2017
- [c11]Jie Liu, Xingkun Gao, Nianyuan Bao, Jie Tang, Gangshan Wu:
Deep convolutional neural networks for pedestrian detection with skip pooling. IJCNN 2017: 2056-2063 - [c10]Jie Tang, Junlei Gao, Gangshan Wu:
Improving Scheduling Efficiency of Hadoop YARN Using AFSA Algorithm. ISPA/IUCC 2017: 919-924 - 2016
- [c9]Xingkun Gao, Nianyuan Bao, Jie Liu, Jie Tang, Gangshan Wu:
Scalable Single-Source SimRank Computation for Large Graphs. ICPADS 2016: 1083-1091 - 2015
- [c8]Chen Yang, Jie Tang, Heng Gao, Gangshan Wu:
Pre-stack Kirchhoff Time Migration on Hadoop and Spark. ICA3PP (3) 2015: 190-202 - [c7]Nianyuan Bao, Jie Tang, Xiaoyu Zhang, Gangshan Wu:
A New Data Replication Scheme for PVFS2. ICA3PP (3) 2015: 475-491 - [c6]Xiaoyu Zhang, Jie Tang, Heng Gao, Gangshan Wu:
A Dynamic Extension and Data Migration Method Based on PVFS. ICA3PP (2) 2015: 540-552 - [c5]Heng Gao, Jie Tang, Gangshan Wu:
Parallel surface reconstruction on GPU. ICIMCS 2015: 54:1-54:5 - 2013
- [c4]Heng Gao, Jie Tang, Gangshan Wu:
A MapReduce Computing Framework Based on GPU Cluster. HPCC/EUC 2013: 1902-1907 - 2010
- [c3]Jie Tang, Gangshan Wu, Bo Xu, Zhongliang Gong:
Interective Point Clouds Fairing on Many-Core System. ISPA 2010: 557-562
2000 – 2009
- 2007
- [j1]Jie Tang, Gangshan Wu, Fuyan Zhang, Mingmin Zhang:
Fast approximate geodesic paths on triangle mesh. Int. J. Autom. Comput. 4(1): 8-13 (2007) - 2006
- [c2]Jie Tang, Fuyan Zhang:
Content-Based 3D Model Retrieval for Digital Museum. Edutainment 2006: 1371-1376 - 2005
- [c1]Jie Tang, Fuyan Zhang:
Anisotropic Feature-Preserving Smoothing of 3D Mesh. CGIV 2005: 373-378
Coauthor Index
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