JOEY T. ZHOU.

A*STAR · SINGAPORE MANAGEMENT UNIVERSITY

Joey
Tianyi Zhou.

Making agentic AI systems more efficient,
trustworthy, and capable.

Head of Applied AI Systems & Agents Chapter, A*STAR
Tenured Associate Professor · SMU

Portrait of Joey Tianyi Zhou
RESEARCH / ENGINEERING / IMPACTSingapore ↗
RESEARCH FOCUSEfficient AITrustworthy AIFoundation Models & Agents

01 / ABOUT

From research
to real-world AI.

I work at the intersection of AI efficiency, robustness, and agentic systems.

As the Head of the Applied AI Systems & Agents Chapter at the Institute of Advanced Intelligence and Computing (IAIC), Agency for Science, Technology and Research (A*STAR), I drive the development of the A*STAR Agentic AI platform. I lead the development of AgentOS, an agentic AI platform that supports agentic transformation across Singapore’s research institutions and helps enterprises capture, organize, and preserve institutional knowledge. I also serve as Deputy Director at the Centre for Frontier AI Research (CFAR). I am also heading AI Engineering & Platform at the National Applied AI Centre of Excellence (CoE), driving the adoption of Agentic AI across companies in Singapore. Concurrently, I am also a tenured Associate Professor of Computer Science at Singapore Management University (SMU). I obtained my Ph.D. from Nanyang Technological University (NTU), Singapore, in 2015. Prior to my current roles at A*STAR, I worked as a Senior Research Engineer at the Sony US Research Center in San Jose, California.

My research explores how to improve AI efficiency and robustness from a data perspective: building models that use less computation and training data, and remain reliable under perturbations and distribution shifts.

OPEN OPPORTUNITIES

Build the next
generation of AI.

I welcome Ph.D. students, research fellows, scientists, interns, and visiting scholars interested in AI and agentic systems.

Let’s work together ↗

Join the group

Ph.D. scholarships are available through SMU and A*STAR. Strong coding and problem-solving skills are preferred for research positions in agentic AI.

Scholarships & visiting opportunities

Joint Ph.D. visits through ARAP and internships through CIARE or ARIA are welcome. Visiting students, including CSC students from China, may be hosted at SMU or A*STAR.

Students & visiting scholars
  • 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

02 / RESEARCH

Publications & ideas.

Efficient learning. Reliable intelligence.
More capable foundation models and agents.

231 publications

2022

Deep Partial Multi-View Learning.

Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu

in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

2022

Locality-Aware Crowd Counting.

Joey Tianyi Zhou, Le Zhang, Jiawei Du, Xi Peng, Zhiwen Fang, Zhe Xiao, Hongyuan Zhu

in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

2020

Deep Subspace Clustering.

Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan

in IEEE Transactions on Neural Networks and Learning Systems 2020

2020

Zero-Shot Image Dehazing.

Boyun Li, Yuanbiao Gou, Jerry Zitao Liu, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng

in IEEE Transactions on Image Processing 2020

03 / COMMUNITY

Academic service.

Senior/Area Chair

Proposal Expert Panel

  • Expert Panel in the Ministry of Education (MOE) Academic Research Fund.

Membership

  • IEEE Senior Member
  • INNS Member, AICI Section Technical Coordinator
  • EAI Distinguished Member

04 / RECOGNITION

Awards & distinctions.

05 / SUPPORT

Research funding.

  • Digital Trust Centre Innovation Grant (No:DTC-IGC-02): Reassemble Data Before Sharing: Innovative Privacy-Preserved Data-Sharing Solutions for Cloud Services, PI, Jul. 15 2025 - Jul. 14 2026
  • RIE2025 Singapore-Japan Joint Grant (No:R24I6IR133): Breaking Multimodal Correspondence: Crafting Safer and Fairer Multimodal AIGC, PI, Apr. 1 2025 - 31 Mar. 2028
  • AISG 2024 Research Grant (No. AISG3-RP-2024-033): Sequential Deepfake Attribution, PI, 06 Jan. 2025- 05 Jan. 2028
  • National Multimodal LLM Programme (No. AISG-NMLP-2024-003): Privacy^2: Fine-Tuning Encapsulated LLMs to Downstream Tasks Without Peeking on Private Data, Co-PI, 01 Apr. 2025- 31 Mar. 2028
  • A*STAR Central Research Funding: Tiny Machine Learning, PI, 2020-2026

LET’S CONNECT

Good research starts
with a conversation.