Joey Tianyi Zhou

I am a senior scientist, PI with the A*STAR Centre for Frontier AI Research (CFAR), Singapore.
I also hold an appointment as an Adjunct faculty at the National University of Singapore (NUS). I obtained my Ph.D. degree from Nanyang Technological University (NTU), SG, in 2015. I had been a snr. research engineer at Sony US Research Center, San Jose, USA before.

My research focus is on how to enhance Machine Learning Efficiency and Robustness. An ideal machine learning model shall : (1) be resource-efficient for both inference and training, including computational-efficient and data-efficient; (2)be safe to various perturbations, distribution shifts, and adversarial attacks.

Email / Github / Google Scholar / DBLP /



Joey
Efficient AI Group
TBA
Teaching at NUS
Research
Resource-efficient Learning

Utility Optimal Thread Assignment and Resource Allocation in Multi-Server Systems
Pan Lai, Rui Fan, Xiao Zhang, Wei Zhang, Fang Liu, Joey Tianyi Zhou
In IEEE/ACM Transactions on Networking 2021

Evolutionary Multi-Objective Model Compression for Deep Neural Networks
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
In IEEE Computational Intelligence Magazine 2021

Adaptive Precision Training for Resource Constrained Devices
Tian Huang, Tao Luo, Joey Tianyi Zhou
In ICDCS 2020

Transfer Hashing: From Shallow to Deep
Joey Tianyi Zhou, Heng Zhao, Xi Peng, Meng Fang, Zheng Qin, Rick Siow Mong Goh
In IEEE Transactions on Neural Networks and Learning Systems 2018

Deep Partial Multi-View Learning
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou*, Huazhu Fu and Qinghua Hu
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

Dual Adversarial Neural Transfer for Sequence Labeling
Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

Multi-source Meta Transfer for Low Resource Multiple Choice Question Answering
Ming Yan, Hao Zhang, Di Jin and Joey Tianyi Zhou*
In ACL 2020

A Deep Learning Framework for Hybrid Heterogeneous Transfer Learning
Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang.
In Artificial Intelligence 2019

Multi-class Heterogeneous Domain Adaptation
Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan and Mingkui Tan
In Journal of Machine Learning Research 2019

Safe and Reliable AI

PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li, Zhiru Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou
In ICCV 2021

Trusted Multi-View Classification
Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou
In ICLR 2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou and Qinghua Hu
In NeurIPS 2021

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits
In AAAI 2020

Query-efficient Meta Attack to Deep Neural Networks
Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng
In ICLR 2020

Others

Locality-Aware Crowd Counting
Joey Tianyi Zhou, Le Zhang, Du Jiawei, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2021

Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou* and Rick Siow Mong Goh
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2020

Ordered or Orderless: A Revisit for Video based Person Re-Identification
Le Zhang , Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2020

AnomalyNet: An Anomaly Detection Network for Video Surveillance
Joey Tianyi Zhou,Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh
In IEEE Transactions on Information Forensics & Security 2019

Sc2net: Sparse Lstms for Sparse Coding
Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Yong Liu, Zheng Qin, Rick Goh
In AAAI 2018


Academic Service
Asscociate Editor: Area Chair/SPC: Workshop Organizer:

Awards

Acknowledgements
I would like to thank all my collaborators, interns and students.

(imitation is the sincerest form of flattery)