Richard Zhang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Datalog Programs

Low Rank Approximation

Top Venues

Medical Image Anal.

Publications

Richard Zhang, Emoke-Ágnes Horvát
The Unwanted Dissemination of Science: The Usage of Academic Articles as Ammunition in Contested Discursive Arenas on Twitter. CoRR (2024)
Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
Maziar Goudarzi, Reza Azimi, Julian Humecki, Faizaan Rehman, Richard Zhang, Chirag Sethi, Tanishq Bomman, Yuqi Yang
By-Software Branch Prediction in Loops. IEEE Comput. Archit. Lett. 22 (2) (2023)
Maziar Goudarzi, Reza Azimi, Julian Humecki, Faizaan Rehman, Richard Zhang, Chirag Sethi, Tanishq Bomman, Yuqi Yang
By-Software Branch Prediction in Loops. CoRR (2023)
Swati Padmanabhan, David P. Woodruff, Richard Zhang
Sensitivities. NeurIPS (2023)
Tamás Sarlós, Xingyou Song, David P. Woodruff, Richard Zhang
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. NeurIPS (2023)
Richard Zhang
Computer Graphics and VR/AR: From Clouds, to Cartoons, to a 3-D Virtual Museum. IEEE Computer Graphics and Applications 42 (5) (2022)
Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
CDPAM: Contrastive Learning for Perceptual Audio Similarity. ICASSP (2021)
Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein
CDPAM: Contrastive learning for perceptual audio similarity. CoRR (2021)
Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. CoRR (2020)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions Using Distance Fields. CVPR (2020)
Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. INTERSPEECH (2020)
Richard Zhang, Daniel Golovin
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. ICML (2020)
Gavin Zhang, Richard Zhang
How Many Samples is a Good Initial Point Worth? CoRR (2020)
Frank Ban, David P. Woodruff, Richard Zhang
Regularized Weighted Low Rank Approximation. NeurIPS (2019)
Shuhang Gu, Radu Timofte, Richard Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, S. Athi Narayanan, Jameer Babu Pinjari, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Akkshita Trivedi, Anil K. Saini, Santanu Chaudhury, Prasen Kumar Sharma, Priyankar Jain, Arijit Sur, Gökhan Özbulak
NTIRE 2019 Challenge on Image Colorization: Report. CVPR Workshops (2019)
Richard Zhang
Making Convolutional Networks Shift-Invariant Again. CoRR (2019)
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
Deep Parametric Shape Predictions using Distance Fields. CoRR (2019)
Richard Zhang
Making Convolutional Networks Shift-Invariant Again. ICML (2019)
Xujie Si, Woosuk Lee, Richard Zhang, Aws Albarghouthi, Paraschos Koutris, Mayur Naik
Syntax-guided synthesis of Datalog programs. ESEC/SIGSOFT FSE (2018)
Alex X. Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, Sergey Levine
Stochastic Adversarial Video Prediction. CoRR (2018)
Jonathan DiLorenzo, Richard Zhang, Erin Menzies, Kathleen Fisher, Nate Foster
Incremental forest: a DSL for efficiently managing filestores. OOPSLA (2016)
Stefan Schröder, Pierluigi Tenca, Tobias Geyer, Paolo Soldi, Luis Garces, Richard Zhang, Tommaso Toma, Paolo Bordignon
Modular High-Power Shunt-Interleaved Drive System: A Realization up to 35 MW for Oil & Gas Applications. IAS (2008)