Program (May 19-20, 2026)

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

Day 1 (May 19, 2026)
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 for Research and Development, The Hong Kong University of Science and Technology (HKUST)
09:05-09:10
Opening Remarks
  • Mr. Terry WONG 
    CEO, Hong Kong Science and Technology Parks Corporation (HKSTP)
09:15-10:15 Public Lecture #1: The Next Frontier in Edge AI: Holistic Hardware-Software Co-Design and Mixed-Signal Innovations:
Session Chair: Prof. CY TSUI (HKUST)
Lecturer: Prof. Massoud PEDRAM (USC Viterbi School of Engineering) 
10:15-10:25 10-mins Break
10:25-12:10 Workshop #1: Advanced AI Chip Architecture
Session Chair: Prof. Fengbin TU (HKUST)
Speakers :
  • Prof. Yanan SUN (Shanghai Jiao Tong University)
    Topic : Energy-Efficient Compute-in-Memory Design from the Perspectives of In-Situ Heterogeneity and 3D Stacking
  • Prof. Jianguo YANG (Fudan University (FDU)) 
    Topic: Next-Generation Memory and Computing Enabled by 3D Integration Technology
  • Prof. Kyuho LEE (Yonsei University) 
    Topic: An Energy-Efficient Accelerator for PNN-based Semantic LiDAR-SLAM and 3D Interaction in Autonomous Vehicles
12:10-13:30 Lunch
14:00-15:00 Public Lecture #2: Sustainable, Pervasive Gen.AI - Nowhere to go, but UP!
Session Chair: Prof. Tim CHENG (HKUST)
Lecturer: Prof. Luca BENINI (ETH Zürich) (Online)
15:00-15:10 10-mins Break
15:10-17:30 Entrepreneurship Workshop: The AI Accelerator Ecosystem: Founders, Funders, and Future Trends
Session Chair: Prof. Yuan XIE (HKUST)
Speakers : 
  •  Mr. Weibin DING (X-Times Design Automation Co., LTD)
    Topic: The Evolution from Digital Implementation EDA to ADA
  • Mr. Michael MO (Shenzhen Fortsense Co., Ltd)
    Topic:  
  • Mr. Guoqing HE (Hejun Capital)
    Topic: Investerment for AI Accelerator
  • Mr. Ning CHEN, (Shenzhen Intellifusion Technologies Co. Ltd)
    Topic: 
  • Mr. Tony WANG (Legend Capital)
    Topic: 
  • Dr. Jian ZHEN (Beijing AlgoPower Technology Co. Ltd)
    Topic: Opportunities in LLM model inference on the edge, in the era of OpenClaw
17:30–18:30 Poster Session / Open House and Demonstration (ACCESS Lab)
Day 2 (May 20, 2026)
08:45-09:00 Registration
09:00-10:45 Workshop #2: Memory‑Driven Hardware Accelerators for Ultra‑Efficient Edge AI
Session Chair: Prof. Zhongrui WANG (Southern University of Science and Technology (SUSTech)) 
Speakers :
  • Dr. Giovanni ANSALONI (École Polytechnique Fédérale de Lausanne (EPFL))
    Topic: Architecting Compute Memories for Ultra-Efficient Edge Machine Learning
  • Prof. Wei ZHANG (HKUST) 
    Topic: Computing Accelerators Codesign to Optimize Memory Usage in Edge AI Systems
  • Prof. Xumeng ZHANG (FDU) 
    Topic: Neuromorphic Memory Devices for Bio-Inspired 
10:45-10:55 10-mins Break
10:55-11:55 Public Lecture #3: From Storage to Learning: New Memory Hierarchies for the Edge AI Revolution
Session Chair: Prof. Wei ZHANG (HKUST)
Lecturer: Prof. David ATIENZA ALONSO (EPFL)
11:55-13:30 Lunch
13:30-15:15 Workshop #3: Large AI Models in EDA for Intelligent VLSI Design
Session Chair: Prof. Zhiyao XIE (HKUST)
Speakers :
  • Prof. Grace ZHANG (The Technical University of Darmstadt (TU Darmstadt))
    Topic: Efficient Hardware for AI and AI for Hardware
  • Prof. Johnny XU (The Chinese University of Hong Kong)
    Topic: Architecting for Jagged Intelligence
  • Prof. Hongce ZHANG (Hong Kong University of Science and Technology (Guangzhou))
    Topic: A Tale of Two Worlds: Formal Verification Meets AI Acceleration

 
15:15-15:25 10-mins Break
15:25-17:40 Workshop #4: Hardware-Software Co-design
Session Chair: Prof. Can LI (The University of Hong Kong (HKU)) 
Speakers :
  • Prof. Bingsheng HE (National University of Singapore)
    Topic: Automatic Optimization for Efficient LLM Systems
  • Prof. Peng LU (HKU)
    Topic: The physical intelligence of legged robots
  • Dr. Abbas RAHIMI (IBM Zurich Research Laboratory)
    Topic: Hybrid Foundation Models: Towards Robust and Scalable Agentic Systems
  • Prof. Meng LI (Peking University)
    Topic: Towards Efficient LLM Inference with Speculative Computation
17:40-17:50
Closing Remark
  • Dr. Luhong LIANG
    Executive Director, AI Chip Center for Emerging Smart Systems (ACCESS)
17:50 End of Program