Program (May 19-20, 2025)

The entire symposium will be held in Hong Kong Time (GMT+8).

Day 1 (May 19, 2025)
08:45-09:00 Registration
09:00-09:05
Welcome Speech
  • Prof. Tim CHENG
    Center Director, AI Chip Center for Emerging Smart Systems (ACCESS)
    Vice President (Research and Development), The Hong Kong University of Science and Technology (HKUST)
09:05-09:10
Opening Remark
  • Mr. Ivan LEE, JP
    Commissioner for Innovation and Technology
    Innovation and Technology Commission
    Government of Hong Kong Special Administrative Region
09:15-10:15 Public Lecture #1:
Topic: Convex Optimization
Session Chair: Prof. Tim CHENG (HKUST)
Lecturer: Prof. Stephen P. BOYD (Stanford University)
10:15-10:25 Break
10:25-12:10 Workshop #1 (RP2): Hardware-Software Co-Design for Energy-Efficient and High-Performance Edge AI
Session Chair: Prof. Hayden SO (The University of Hong Kong (HKU))
Speakers:
  • Prof. David ATIENZA ALONSO (École Polytechnique Fédérale de Lausanne (EPFL)) 
    Topic: Maxwell: a Near-SRAM Co-Design Computing Architecture for Edge AI Applications
  • Prof. Xiaoming CHEN (Chinese Academy of Sciences (CAS))
    Topic: LLM Acceleration based on Processing-in-memory Architectures
  • Prof. Yun LIANG (Peking University (PKU))
    Topic: AHS: Agile Hardware Specialization
12:10-13:30 Lunch
13:30-14:30 Public Lecture #2:
Topic: Domain-Specific Acceleration Targeting AI for Science and AI for Medicine
Session Chair: Prof. Evangeline YOUNG (The Chinese University of Hong Kong (CUHK))
Lecturer: Prof. Wayne LUK (Imperial College London)
14:30-14:40 Break
14:40-17:00 Entrepreneurship Workshop
Session Chair: Prof. Yuan XIE (HKUST)
Speakers:
  • Dr. Yan ZHENG (Riverhead Capital Investment Management Co., Ltd.——RHC) 
    Topic:  Overview of Mainland's Semiconductor Venture Investment
  • Ms. Yuan GONG (HongShan Capital Group)
    Topic:  Venture Capital Insights and Opportunities in the Age of AI Revolution
  • Dr. Feijun ZHENG (Zhejiang University (ZJU)) 
    Topic: Introduction and case study on ZJU-IC Industry & Academic Collaboration
  • Dr. Shaoshan LIU (Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS)) 
    Topic: Building Computing Systems for Embodied Artificial Intelligence
  • Mr. Mark MOK (ACCESS)
    Topic: Empowering the Future of Embodied AI
  • Dr. Zeyao HAN (MetaX)
    Topic: Innovations and Developments in GPU Open Source Ecosystem from MetaX
17:00–18:00 Open House and Demonstration
Day 2 (May 20, 2025)
08:45-09:00 Registration
09:00-10:45 Workshop #2 (RP1): Computing-in-Memory for Large-scale AI Models: Circuits to System
Session Chair: Prof. Fengbin TU (HKUST)
Speakers:
  • Dr. Abbas RAHIMI (IBM Zurich Research Laboratory)
    Topic: Toward Reliable and Cost-effective Compound AI Systems
  • Prof. Chixiao CHEN (Fudan University (FDU)) 
    Topic: Scalable Compute-in/near-Memory Systems with 2.5D/3D/3.5D Integration
  • Prof. Tony Tae-Hyoung KIM (Nanyang Technological University (NTU))
    Topic: Transforming AI: The Impact of Computing-in-Memory on Future Technologies
10:45-10:55 Break
10:55-11:55 Public Lecture #3:
Topic: Towards Efficient AI Systems and Circuits: Progress and Perspective
Session Chair: Prof. Wei ZHANG (HKUST)
Lecturer: Prof. Yu WANG (Tsinghua University (THU))
11:55-13:30 Lunch
13:30-15:15 Workshop #3 (RP-3): Large Foundation AI Models for EDA and VLSI Design
Session Chair: Prof. Tsung-yi HO (CUHK)
Speakers:
  • Prof. Bei YU (CUHK)
    Topic: Large Language Model in EDA
  • Prof. Zhiyao XIE (HKUST) 
    Topic: AI-Assisted EDA: from Supervised Learning to Circuit Foundation Models
  • Prof. Yibo LIN (PKU)
    Topic: Learning Correlated Topological and Geometrical Information from VLSI Circuit Layout Data

 
15:15-15:25 Break
15:25-17:45 Workshop #4: Cross-layer Optimization and Demonstration for Targeted Applications
Session Chair: Prof. Wei ZHANG (HKUST)
Speakers:
  • Prof. Jie HAN (University of Alberta)
    Topic: Approximate and Stochastic Ising Machines
  • Prof. Kaisheng MA (THU)
    Topic: Wafer and Pannel Scale Computing: from the Communication Perspective
  • Prof. Arindam BASU (City University of Hong Kong (CityUHK))
    Topic: In-memory Nonlinear Function Approximation for efficient RNN and Transformers'
  • Prof. Bonan YAN (PKU)
    Topic: Artificial General Intelligence Processor Design Using Processing-In-Memory Technologies
17:45-17:55
Closing Remark
  • Dr. Luhong LIANG
    Executive Director, AI Chip Center for Emerging Smart Systems (ACCESS)
17:55 End of Program