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Gang Wu 0013
Person information
- affiliation: Adobe Inc., Adobe Research, San Jose, CA, USA
- affiliation: Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
Other persons with the same name
- Gang Wu — disambiguation page
- Gang Wu 0001 — University of Electronic Science and Technology of China, National Key Lab of Science and Technology on Communications, Chengdu, China (and 3 more)
- Gang Wu 0002 — Synopsys, Inc., Hillsboro, OR, USA (and 1 more)
- Gang Wu 0003 — Nanjing University of Finance and Economics, Institute of Multimedia Computing Technology, China (and 1 more)
- Gang Wu 0004 — Nanjing University of Aeronautics and Astronautics, Center for More-Electric-Aircraft Power Systems, China
- Gang Wu 0005 — University of California at Santa Barbara, CA, USA
- Gang Wu 0006 — University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
- Gang Wu 0007 — Northeastern University, School of Computer Science and Engineering, China (and 1 more)
- Gang Wu 0008 — Shanghai Jiao Tong University, China
- Gang Wu 0009 — China National Institute of Standardization, Beijing, China
- Gang Wu 0010 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
- Gang Wu 0011 — University of Science and Technology of China, Department of Automation, Hefei, China
- Gang Wu 0012 — Nokia, Wireless Modem System Research, Devices Research and Development, Shanghai, China (and 1 more)
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2020 – today
- 2023
- [c17]Yang Li, Gang Wu, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Viswanathan Swaminathan:
Active Context Modeling for Efficient Image and Burst Compression. ISM 2023: 89-94 - [c16]Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan:
Content-aware Progressive Image Compression and Syncing. ISM 2023: 221-224 - [c15]Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu:
GPU-accelerated Lossless Image Compression with Massive Parallelization. ISM 2023: 321-324 - [i8]Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023) - [i7]Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu:
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding. CoRR abs/2312.02310 (2023) - 2022
- [c14]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML 2022: 18463-18482 - [c13]Weixin Jiang, Gang Wu, Viswanathan Swaminathan, Stefano Petrangeli, Haoliang Wang, Ryan A. Rossi, Nedim Lipka:
Task-Oriented Near-Lossless Burst Compression. ISM 2022: 257-260 - [c12]Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha:
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention. ACM Multimedia 2022: 591-600 - [i6]Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha:
Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention. CoRR abs/2207.08352 (2022) - 2021
- [c11]Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093 - [c10]Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha:
HighlightMe: Detecting Highlights from Human-Centric Videos. ICCV 2021: 8137-8147 - [c9]Hongchang Gao, Gang Wu, Ryan A. Rossi:
Provable Distributed Stochastic Gradient Descent with Delayed Updates. SDM 2021: 441-449 - [i5]Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha:
HighlightMe: Detecting Highlights from Human-Centric Videos. CoRR abs/2110.01774 (2021) - [i4]Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR abs/2111.14674 (2021) - 2020
- [c8]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. ICML 2020: 7521-7531 - [i3]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-time Bidding. CoRR abs/2001.06587 (2020) - [i2]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. CoRR abs/2007.06202 (2020)
2010 – 2019
- 2019
- [c7]Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao:
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC 2019: 488-489 - [c6]Akshay Malhotra, Viswanathan Swaminathan, Gang Wu, Ioannis D. Schizas:
Generative Networks for Synthesizing Human Videos in Text-Defined Outfits. MMSP 2019: 1-6 - [c5]Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan:
Scalable Bid Landscape Forecasting in Real-Time Bidding. ECML/PKDD (3) 2019: 451-466 - [i1]Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019) - 2018
- [c4]Gang Wu, Ratnesh Kumar:
Learning a Joint Low-Rank and Gaussian Model in Matrix Completion with Spectral Regularization and Expectation Maximization Algorithm. BigData Congress 2018: 210-214 - 2017
- [j1]Gang Wu, Viswanathan Swaminathan, Ratnesh Kumar:
Matrix Completion under Gaussian Models Using MAP and EM Algorithms. J. Commun. 12(3): 180-186 (2017) - [c3]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Digital content recommendation system using implicit feedback data. IEEE BigData 2017: 2766-2771 - [c2]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Context-aware video recommendation based on session progress prediction. ICME 2017: 1428-1433 - 2014
- [c1]Gang Wu, Viswanathan Swaminathan, Saayan Mitra, Ratnesh Kumar:
Online video session progress prediction using low-rank matrix completion. ICME Workshops 2014: 1-6
Coauthor Index
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