Tianyi Chen
Tianyi Chen
Senior Research Manager, Microsoft, Johns Hopkins University
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Only Train Once: A One-Shot Neural Network Training And Pruning Framework
T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Generative Adversarial Network for Handwritten Text
B Ji, T Chen
arXiv 1907 (1907.11845), 2019
A Reduced-Space Algorithm for Minimizing -Regularized Convex Functions
T Chen, FE Curtis, DP Robinson
SIAM Journal on Optimization 27 (3), 1583-1610, 2017
OTOV2: Automatic, Generic, User-Friendly
T Chen, L Liang, T Ding, Z Zhu, I Zharkov
The Eleventh International Conference on Learning Representations, 2023
Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization
T Chen, T Ding, B Ji, G Wang, J Tian, Y Shi, S Yi, X Tu, Z Zhu
European Conference on Machine Learning, 2020
Neural network compression via sparse optimization
T Chen, B Ji, Y Shi, T Ding, B Fang, S Yi, X Tu
arXiv preprint arXiv:2011.04868, 2020
Evolution of co-operation among mobile agents with different influence
Z Wang, T Chen, X Wang, J Jin, M Li
Physica A: Statistical Mechanics and its Applications 392 (19), 4655-4662, 2013
FaRSA for ℓ1-regularized convex optimization: local convergence and numerical experience
T Chen, FE Curtis, DP Robinson
Optimization Methods and Software 33 (2), 396-415, 2018
A Half-Space Stochastic Projected Gradient Method for Group Sparsity Regularization
T Chen, G Wang, D Tianyu, B Ji, S Yi, Z Zhu
Transferable adversarial examples can efficiently fool topic models
Z Wang, Y Zheng, H Zhu, C Yang, T Chen
Computers & Security 118, 102749, 2022
A Fast Reduced-Space Algorithmic Framework for Sparse Optimization
T Chen
Johns Hopkins University, 2018
Lorashear: Efficient large language model structured pruning and knowledge recovery
T Chen, T Ding, B Yadav, I Zharkov, L Liang
arXiv preprint arXiv:2310.18356, 2023
The efficiency spectrum of large language models: An algorithmic survey
T Ding, T Chen, H Zhu, J Jiang, Y Zhong, J Zhou, G Wang, Z Zhu, ...
arXiv preprint arXiv:2312.00678, 2023
An adaptive half-space projection method for stochastic optimization problems with group sparse regularization
Y Dai, T Chen, G Wang, D Robinson
Transactions on Machine Learning Research, 2023
Sparsity-guided network design for frame interpolation
T Ding, L Liang, Z Zhu, T Chen, I Zharkov
arXiv preprint arXiv:2209.04551, 2022
FSCNN: A Fast Sparse Convolution Neural Network Inference System
T Chen, Y Shi, S Yi
Phase-segregation free quasi-2D perovskite/organic tandem solar cells with low V oc loss and efficiency beyond 21%
H Wu, T Chen, Y Li, S Guan, L Zhang, T Chen, Y Liu, Y Jin, L Zuo, W Fu, ...
Journal of Materials Chemistry A 11 (13), 6877-6885, 2023
Signature verification
T Chen, S Yi
US Patent 11,450,150, 2022
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
T Chen, T Ding, Z Zhu, Z Chen, HT Wu, I Zharkov, L Liang
arXiv preprint arXiv:2312.09411, 2023
DREAM: Diffusion Rectification and Estimation-Adaptive Models
J Zhou, T Ding, T Chen, J Jiang, I Zharkov, Z Zhu, L Liang
CVPR 2024, 2023
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