Vikas Chandra

Director, AI Research

I lead the on-device AI research team in the AR/VR group focusing on vision and speech/NLU applications. My research interests include all aspects of HW/SW co-design for efficient on-device AI.

I received a PhD in Computer Engineering from Carnegie Mellon University in 2004. I have held the positions of Visiting Scholar (2011 – 2014) and Visiting Faculty (2016 – 2017) at Stanford University. I have authored 70+ research publications and am an inventor on 40+ US and international patents. I received the ACM-SIGDA Technical Leadership Award in 2009 and was invited to the 2017 National Academy of Engineering’s Frontiers of Engineering Symposium. I am a senior member of IEEE.


HW/SW co-design for efficient on-device AI

Latest Publications

arXiv - November 2, 2021

Low-Rank+Sparse Tensor Compression For Neural Networks

Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra

ACM MM - October 20, 2021

EVRNet: Efficient Video Restoration on Edge Devices

Sachin Mehta, Amit Kumar, Fitsum Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra

Interspeech - August 31, 2021

Collaborative Training of Acoustic Encoders for Speech Recognition

Varun Nagaraja, Yangyang Shi, Ganesh Venkatesh, Ozlem Kalinli, Michael L. Seltzer, Vikas Chandra

ICML - July 18, 2021

AlphaNet: Improved Training of Supernets with Alpha-Divergence

Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra

CVPR - June 19, 2021

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra

CVPR - June 19, 2021

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu

HPCA - March 3, 2021

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Hyoukjun Kwon, Liangzhen La, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra

AAAI - February 9, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Liang, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

ICLR - January 29, 2021

CPT: Efficient Deep Neural Network Training via Cyclic Precision

Yonggan Fu, Han Guo, Xin Yang, Yining Ding, Yingyan Lin, Meng Li, Vikas Chandra

ISCA - May 22, 2020

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang