Haichuan Yang

Haichuan Yang

University of Rochester

H-index: 12

North America-United States

About Haichuan Yang

Haichuan Yang, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Rochester, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models

Learning a dual-mode speech recognition model via self-pruning

Copriv: Network/protocol co-optimization for communication-efficient private inference

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

DepthShrinker: a new compression paradigm towards boosting real-hardware efficiency of compact neural networks

Omni-sparsity dnn: Fast sparsity optimization for on-device streaming e2e asr via supernet

Noisy training improves e2e asr for the edge

Low-rank+ sparse tensor compression for neural networks

Haichuan Yang Information

University

Position

___

Citations(all)

709

Citations(since 2020)

647

Cited By

258

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Haichuan Yang Skills & Research Interests

Machine Learning

Top articles of Haichuan Yang

Title

Journal

Author(s)

Publication Date

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models

Yuan Shangguan

Haichuan Yang

Danni Li

Chunyang Wu

Yassir Fathullah

...

2024/4/14

Learning a dual-mode speech recognition model via self-pruning

Chunxi Liu

Yuan Shangguan

Haichuan Yang

Yangyang Shi

Raghuraman Krishnamoorthi

...

2023/1/9

Copriv: Network/protocol co-optimization for communication-efficient private inference

Advances in Neural Information Processing Systems

Wenxuan Zeng

Meng Li

Haichuan Yang

Wen-jie Lu

Runsheng Wang

...

2023/12/15

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts

arXiv preprint arXiv:2306.04845

Ganesh Jawahar

Haichuan Yang

Yunyang Xiong

Zechun Liu

Dilin Wang

...

2023/6/8

DepthShrinker: a new compression paradigm towards boosting real-hardware efficiency of compact neural networks

Yonggan Fu

Haichuan Yang

Jiayi Yuan

Meng Li

Cheng Wan

...

2022/6/28

Omni-sparsity dnn: Fast sparsity optimization for on-device streaming e2e asr via supernet

Haichuan Yang

Yuan Shangguan

Dilin Wang

Meng Li

Pierce Chuang

...

2022/5/23

Noisy training improves e2e asr for the edge

arXiv preprint arXiv:2107.04677

Dilin Wang

Yuan Shangguan

Haichuan Yang

Pierce Chuang

Jiatong Zhou

...

2021/7/9

Low-rank+ sparse tensor compression for neural networks

arXiv preprint arXiv:2111.01697

Cole Hawkins

Haichuan Yang

Meng Li

Liangzhen Lai

Vikas Chandra

2021/11/2

PyTorchVideo: A deep learning library for video understanding

Haoqi Fan

Tullie Murrell

Heng Wang

Kalyan Vasudev Alwala

Yanghao Li

...

2021/10/17

Autonomic flexibility reflects learning and associated neuroplasticity in old age

Human brain mapping

Quanjing Chen

Haichuan Yang

Brian Rooks

Mia Anthony

Zhengwu Zhang

...

2020/9

Gan slimming: All-in-one gan compression by a unified optimization framework

Haotao Wang

Shupeng Gui

Haichuan Yang

Ji Liu

Zhangyang Wang

2020/8/23

Sparse learning for model optimization

Haichuan Yang

2020

Automatic neural network compression by sparsity-quantization joint learning: A constrained optimization-based approach

Haichuan Yang

Shupeng Gui

Yuhao Zhu

Ji Liu

2020

See List of Professors in Haichuan Yang University(University of Rochester)