Program Schedule

Program Schedule

Day 1 — Monday, August 17 | HKMU Jockey Club Campus, Room D0309

08:30 – 09:00
Registration & Check-in
09:00 – 09:30
Opening Ceremony
09:30 – 10:40
Keynote KC Santosh Green Computing is All What You Need!
10:40 – 11:50
Keynote Haoran Xie Reliable Reasoning of Large Language Models via Implicit Sentiment Analysis
12:00 – 14:00
Lunch Break
14:10 – 15:00
Invited Talk Arun Kumar Sangaiah Generative AI-Driven Optimization Intelligence for Revolutionizing Employee Workforce Efficiency
15:00 – 15:50
Invited Talk Hongmin Cai Unsupervised Clustering Methods and Applications for Genes, Cells and Tissues
15:50 – 16:20
Refreshments
16:20 – 17:00
Roundtable Reliable Use of AI in Teaching and Research Daisy Zhang Alin Liu Haoran Xie KC Santosh Arun Kumar Sangaiah Hongmin Cai

Day 2 — Tuesday, August 18 | HKMU Jockey Club Campus, Room D0309

09:30 – 10:40
Keynote Qiangfu Zhao Agent Tree: A Framework to Make LLM More Interpretable
10:40 – 11:00
Coffee & Networking
11:00 – 11:50
Invited Talk Leo Zhang When AI Goes Wrong: Building Trustworthy Systems Before They Fail
12:00 – 14:00
Lunch Break
14:10 – 15:00
Invited Talk Walid Gomaa Trustworthy Multimodal Deep Learning for Healthcare and Human Activity Understanding
15:00 – 15:50
Invited Talk Yuheng Jia Reliable Weakly Supervised Learning
15:50 – 16:40
Invited Talk Ming-Wen Shao Alternative Attacks and Restorative Attacks on Data-free Deep Neural Networks
16:40 – 17:20
Roundtable Women in AI Research: Perspectives and Challenges Daisy Zhang Leo Zhang Yuheng Jia Debby Wang Walid Gomaa Qiangfu Zhao

Day 3 — Wednesday, August 19 | Caritas Bianchi College of Careers, Room 301

09:30 – 10:40
Keynote Ke Li From Genomic Language Models to Virtual Scientists: Decoding and Designing Biological Complexity
10:40 – 11:00
Coffee & Networking
11:00 – 11:50
Invited Talk Weiqiang Zhou Deep Learning of Single-Cell Multi-Omics Data
12:00 – 14:00
Lunch Break
14:10 – 15:00
Invited Talk Le Ou-Yang Interpretable Deep Learning for Omics Data Analysis
15:00 – 15:50
Invited Talk Rizwan Qureshi Responsible Large Multi-Modal Models for Biomedical Data Analysis
15:50 – 16:30
Roundtable Reliable Use of AI in Interdisciplinary Research Alin Liu Jimmy Kang Ke Li Rizwan Qureshi Le Ou-Yang Weiqiang Zhou

Day 4 — Thursday, August 20 | HKMU Jockey Club Campus, Room D0625

10:00 – 12:00
Tutorial Graph Learning in Practice: Foundations, GNNs, and Applications
12:00 – 14:00
Lunch Break
14:00 – 16:00
Tutorial Reliable Agentic AI for Life Sciences: Foundations to Research Workflows

Day 5 — Friday, August 21 | HKMU Jockey Club Campus, Room D0625

10:00 – 12:00
Tutorial Omics Data Analysis: From Single-Cell to Spatial Multi-Omics Integration
12:00 – 14:00
Lunch Break
14:00 – 16:00
Tutorial Reliable and Interpretable AI for Medical Images and Molecular Data