Program (Jun 18-19, 2024)

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

Day 1 (June 18, 2024)
08:30-09:00 Registration
09:00-09:15
Opening Remarks
  • 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)
  • Mr. Albert WONG
    Chief Executive Officer, Hong Kong Science and Technology Parks Corporation (HKSTP)
09:15-10:15 Public Lecture #1: Can We Automate Accelerator Design with Deep Learning?
Session Chair: Prof. Tim CHENG (HKUST)
Lecturer: Prof. Jason CONG (University of California Los Angeles (UCLA))
10:15-10:25 Break
10:25-12:10 Workshop #1: Architectural and System Integration for Efficient Edge AI Computing
Session Chair: Prof. Maolin WANG (HKUST)
Speakers:
  • Prof. Hao YU (Southern University of Science and Technology (SUSTech))
    Topic: "LLM Inference On Chip"
  • Prof. Shouyi YIN (Tsinghua University (THU))
    Topic: "Reconfigurable AI Processor: Fundamental Concepts, Application, and Future Trends"
  • Prof. Hayden SO (The University of Hong Kong (HKU))
    Topic: "Reconfigurable Computing for Dynamic Vision Sensing in Edge Applications"
12:10-13:30 Lunch
13:30-14:30 Public Lecture #2: Neuro-Inspired Edge AI Architectures for the Internet-of-Things Era
Session Chair: Prof. Qiming SHAO (HKUST)
Lecturer: Prof. David ATIENZA ALONSO (École Polytechnique Fédérale de Lausanne (EPFL))
14:30-15:30 Public Lecture #3: Cross-Layer Design for Enhancing the Resilience of In-Memory Computing to Device Variations
Session Chair: Prof. Zhiyao XIE (HKUST)
Lecturer: Prof. Sharon HU (University of Notre Dame (U of ND))
15:30-15:40 Break
15:40-17:20 Entrepreneurship Workshop
Session Chair: Prof. Fengbin TU (HKUST)
Speakers:
  • Mr. Wenlei ZHUANG (HKUST)
    Topic: "Innovation Unleashed: The Rise of Deep Tech Start-ups from Academic Roots"
  • Dr. Carmen FUNG (HKSTP)
    Topic: "Embracing Opportunities: Fuelling the Microelectronics Ecosystem in Hong Kong"
  • Mr. Peter WU (Sinovation Ventures)
    Topic: "Era of Great Transformation - The New Opportunities of Innovation and Entrepreneurship"
  • Mr Yi PAN (Value Capital/Inovance Technology)
    Topic: "Meeting the Implementation Needs of AI in the Smart Manufacturing Sector"
17:20–18:30 Open House and Demonstration 
Day 2 (June 19, 2024)
08:30-09:00 Registration
09:00-10:00 Public Lecture #4: Mini-Gemini, a New Large Multi-Modal Model
Session Chair: Prof. Dong ZHANG (HKUST)
Lecturer: Prof. Jiaya JIA (The Chinese University of Hong Kong (CUHK))
10:00-10:15 Break
10:15-12:00 Workshop #2: Hardware Architectures and Designs for Machine Learning and Beyond
Session Chair: Prof. Yiyu SHI (U of ND)
Speakers:
  • Prof. Xiaoming CHEN (Chinese Academy of Sciences (CAS))
    Topic: "Design Automation for Processing-in-Memory Architectures"
  • Prof. Ping TAN (HKUST)
    Topic: "RaDe-GS: Rasterizing Depth in Gaussian Splatting"
  • Prof. Ngai WONG (HKU)
    Topic: "Stochastic Multivariate Universal-Radix Finite-State Machine: A New and Hardware-Friendly Architecture for Multivariate Nonlinear Function Approximation"
12:00-13:15 Lunch
13:15-14:15 Public Lecture #5: Hardware Design and the Fairness of A Neural Network
Session Chair: Prof. Can LI (HKU)
Lecturer: Prof. Yiyu SHI (U of ND)
14:15-16:35 Workshop #3: Intelligent Computing, from Architecture to Algorithm
Session Chair: Prof. Fengbin TU (HKUST)
Speakers:
  • Prof. Rui HOU (CAS)
    Topic: "AI Chip Security"
  • Prof. Yuchao YANG (Peking University (PKU))
    Topic: "Large-Scale Memristor Integration for In-Memory Computing"
  • Prof. Zhiyi YU (Sun Yat-sen University (SYSU))
    Topic: "Circuits and Architecture of Asynchronous Neuromophic Intelligent Computing Chip"
  • Prof. Guoqi LI (CAS)
    Topic: "Brain Inspired Large Models with Spiking Neural Networks"
16:35-16:45 Break
16:45-18:30 Workshop #4: Hardware-Accelerated Efficient AI Applications
Session Chair: Prof. Dong ZHANG (HKUST)
Speakers:
  • Dr. Giovanni ANSALONI (EPFL)
    Topic: "Hardware/Software Optimization for Edge AI -- Two Sides of a Coin"
  • Prof. Qiming SHAO (HKUST)
    Topic: "Adapting Magnetoresistive Memory Devices for Unconventional Computing"
  • Prof. Zhiyao XIE (HKUST)
    Topic: "Early Timing and Power Evaluation for VLSI Design"
18:30-18:35 Closing Remark – Dr. Luhong LIANG
Executive Director, AI Chip Center for Emerging Smart Systems (ACCESS)
18:35 End of Program