Joey Tianyi Zhou (周天異)

I am acting Deputy Director, Principal Scientist II, and Investigator with the A*STAR Centre for Frontier AI Research (CFAR), Singapore. In CFAR, I am leading ZHOU Group focusing on fundamental AI research. Concurrently, I am holding a joint appointment as the Principal Scientist in the Centre for Advanced Technologies in Online Safety (CATOS). In CATOS, I lead the "attack team" focused on generating Deepfake and AIGC Videos to fool human users and machine detectors. I am also an adjunct faculty member at the National University of Singapore (NUS).
I obtained my Ph.D. from Nanyang Technological University (NTU), SG, in 2015. I had been a senior research engineer at Sony US Research Center, San Jose, USA, previously.

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.

A*STAR Email / NUS Email / People / NUS Teaching / Github / Google Scholar /



Joey
ZHOU (Towards Zero-carbon, High-reliability, Open-environment, Unbiased AI) Research Group in CFAR
  • Scientists: Ming Yan, Yang He, Jiawei Du
  • Engineers: Heng Zhao,
  • Ph.D students: Heng Zhao (USTC, BSc; NTU, MSc; 2021 Intake), Yinjie Zhao (NTU, BENG; ACIS scholarship, 2023 Intake), Cheng Shen (UCI, BSc; NYU, MSc; SINGA scholarship, 2023 Intake), Zhiya Tan (SCUT, BA, 2024 Intake)
  • Interns and Visiting Scholars:~30 students/scholars
I am always actively searching for talents interested in the intersections of machine learning, hardware, and quantum computing. The following scholarships will be funded by A*STAR and your Ph.D. degree can be obtained from any Singapore university (e.g., NUS, NTU, SMU, STUD). If you want to visit me during your studies, you may apply for a joint Ph.D. scholarship ARAP, or CFAR internship scheme CIARE, ARIA. I can host the visiting students (e.g., CSC program from China) at NUS or A*STAR CFAR. Please feel free to reach out to me.
  • PhD Scholarships: SINGA, ARAP, ACIS, AISG. I will offer additional allowance on top of any scholarship you have.
  • Master and undergraduate Scholarships: SIPGA
  • Interns: CIARE, ARIA.
New! Call for interns (available now): I always seek talented students to join my team. Ph.D. scholarships or official research positions will be prioritized for excellent performers.
New! Call for research associates/fellows (available now): I need to hire research associates/fellows in NLP/ML/CV/ domains. Strong coding and problem-solving skills are preferable.
Research
Resource-efficient Learning

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
Xin Zhang, Jiawei Du, Weiying Xie, Yunsong Li, Joey Tianyi Zhou*
In CVPR 2024

Multisize Dataset Condensation
Yang He, Lingao Xiao, Joey Tianyi Zhou*, Ivor Tsang
In ICLR 2024 (Oral, 1.2%)

Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Yang He, Joey Tianyi Zhou*
In ICLR 2024

You Only Condense Once: Two Rules for Pruning Condensed Datasets
Yang He, Lingao Xiao, Joey Tianyi Zhou*
In NeurIPS 2023

Sequential Subset Matching for Dataset Distillation
Jiawei Du, Qin Shi, Joey Tianyi Zhou*
In NeurIPS 2023

Sharpness-aware training for free
Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou,
In NeurIPS 2022

RCT: Resource Constrained Training for Edge AI
Tian Huang, Tao Luo, Ming Yan and Joey Tianyi Zhou, Rick Siow Mong Goh,
In IEEE Transactions on Neural Networks and Learning Systems 2022

Efficient Spiking Neural Networks with Radix Encoding
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou
In IEEE Transactions on Neural Networks and Learning Systems 2022

EDCompress: Energy-Aware Model Compression for Dataflows
Zhehui Wang, Tao Luo, Rick Siow Mong Goh, and Joey Tianyi Zhou*
In IEEE Transactions on Neural Networks and Learning Systems 2022

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

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

Meta Knowledge Condensation for Federated Learning
Ping Liu, Xin Yu, and Joey Tianyi Zhou*
In ICLR 2023

Trusted Multi-View Classification with Dynamic Evidential Fusion
Zongbo Han, Changqing Zhang, Huazhu Fu and Joey Tianyi Zhou
In IEEE Transactions on Pattern Analysis and Machine Intelligence 2022

XAI Beyond Classification: Interpretable Neural Clustering
Xi Peng, Yunfan Li, Ivor Tsang, Hongyuan Zhu, Jiancheng Lv, and Joey Tianyi Zhou
In Journal of Machine Learning Research 2022

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


Academic Service
Standard Editor: Associate Editor: Area Chair: Workshop Chair/Organizer: Membership:
  • IEEE Senior Member
  • EAI Distinguished Member

Awards

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

(imitation is the sincerest form of flattery)