The 2023 Annual ShanghaiTech Symposium on Information Science and Technology
(ASSIST 2023)

The 2023 Annual ShanghaiTech Symposium on Information Science and Technology
(ASSIST 2023)

23-24 September 2023, Shanghai, China

23-24 September 2023, Shanghai, China


Program

Program

Sep. 23rd Plenary Session (8:45-12:10)

Location: ShanghaiTech Auditorium
Chair: Jingyi Yu
TimeTitlePresenterAffiliation
8:45-9:00 Openning remarks
9:00-10:00 AI for Science Weinan E Peking University
10:00-11:00 A platform to foster and develop collaborative cross-disciplinary and cross-sector research and innovation in imaging Alessandro Foi Tampere University
Tea Break
11:20-12:20 More Is Different: Beyond Wittgenstein’s Philosophy Dacheng Tao University of Sydney
Lunch Break

Sep. 23rd Session 1:Human-centered Artificial Intelligence (13:30-16:50)

Location: SIST Auditorium 1C101
Chair: Xuming He, Jingya Wang
TimeTitlePresenterAffiliation
13:30-14:00 Human-in-the-loop Learning for Embodied AI Bolei Zhou University of California, Los Angeles
14:00-14:30 Learning and Predicting Human Intentions and Actions for Autonomy Fumin Zhang Hong Kong University of Science and Technology
14:30-15:00 Large-scale Diffusion Models for Multimodal Generation Jun Zhu Tsinghua University
Tea Break
15:20-15:50 Human-Computer Conversational Vision-and-Language Navigation Qi Wu University of Adelaide
15:50-16:20 Recent Progress on Causality in Computer Vision Hanwang Zhang Nanyang Technological University, Singapore
16:20-16:50 Towards 3D-Aware Multi-Function Home Robots He Wang Peking University
Social Event

Sep. 23rd Session 2: Efficient Chip Design for Modern AI (13:30-16:50)

Location: SEM Auditorium 104
Chair: Yajun Ha, Xin Lou
TimeTitlePresenterAffiliation
13:30-14:00 Hardware Acceleration for Machine Learning Applications Wayne Luk Imperial College London
14:00-14:30 Sparse Acceleration for DNNs and LLMs: Progress and Trends Yu Wang Tsinghua University
14:30-15:00
Tea Break
15:20-15:50 Energy-Efficient Domain-Specific AI Processor Design for AIoT Applications Jun Zhou University of Electronic Science and Technology of China
15:50-16:20 Deep learning protein structure Jianyi Yang Shandong University
Social Event

Sep. 24th Plenary Session (9:00-10:00)

SIST Auditorium 1C101
Chair: Rui Fan
TimeTitlePresenterAffiliation
9:00-10:00 Towards Adaptive Blockchain Systems Boon Thau Loo University of Pennsylvania

Sep. 24th Session 3: Large-scale AI Models (10:10-12:00)

SIST Auditorium 1C101
Chair: Kewei Tu, Rui Fan
TimeTitlePresenterAffiliation
10:10-10:40 Performance Analysis and Application Prospects of Large Language Model Chengqing Zong Institute of Automation, Chinese Academy of Sciences
Tea Break
11:00-11:30 Research on Reasoning and Generalization of Large Models Yue Zhang Westlake University
11:30-12:00 Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training Yang You National University of Singapore
Lunch Break

Sep. 24th Session 4: AI for Biomedical Research (10:10-12:00)

Location: SEM Auditorium 104
Chair: Rui Zheng, Fang Bai
TimeTitlePresenterAffiliation
10:10-10:40 Event-Driven Circuits and Systems for Ultra Low Power Artificial Intelligent IoT Chips Yong Lian York University, Canada
Tea Break
11:00-11:30 Computer-assisted Drug Target Discovery Research Feng Zhu Zhejiang University
11:30-12:00 Closed-loop Neuromodulation-based Medical Devices to Diagnosis, Treat and Predict Brain Disorders Mohamad Sawan Westlake University
Lunch Break

Sep. 24th Session 5: Generative Computer Vision (13:30-15:50)

SIST Auditorium 1C101
Chair: Shenghua Gao, Lan Xu
TimeTitlePresenterAffiliation
13:30-14:00 Pangu-Weather: Accurate Medium-range Global Weather Forecasting with 3D Neural Networks Qi Tian Huawei Cloud, Shenzhen, China
14:00-14:30 Harnessing Diffusion Prior for Content Enhancement and Creation Chen Change Loy Nanyang Technological University
14:30-15:00 Generative AI for Medical Imaging S Kevin Zhou University of Science and Technology of China
Tea Break
15:20-15:50 Fast Development and Deployment of AI Techniques for Medical Imaging Dinggang Shen ShanghaiTech University

Sep. 24th Session 6: AI for Fundamental Science (13:30-16:20)

Location: SEM Auditorium 104
Chair: Jie Zheng, Qifeng Liao
TimeTitlePresenterAffiliation
13:30-14:00 Actionable and responsible AI in medicine Pietro Lio Cambridge University
14:00-14:30 Computational Technologies for Understanding the Human Cardiovascular System Xiao-Chuan Cai University of Macau
14:30-15:00 Clustering Predicted Structures at the Scale of the Known Protein Universe Martin Steinegger Seoul National University
Tea Break
15:20-15:50 Recent Advances in AI Protein Technology Jinbo Xu Tsinghua University