Frontier of Artificial Network
A Series of Invited Talks @ FAN Group, CityU

The Upcoming Talk
AI-Integrated Colorectal Cancer Research: Challenges, Progress and Innovation

Southeast University

Date: Apr 16, 2026 (Thu)
Time: 10:30am (HKT)
Zoom Meeting: 801 137 0362

Biography: Yudong Zhang is a Chief Professor and Doctoral Supervisor at Southeast University, and a recipient of a national-level high-level talent award. He is a postdoctoral researcher from a top American university. He has held full-time and honorary teaching positions (including department head, chair professor, and full professor) at numerous universities in various countries (including the USA, UK, France, Australia, Spain, Saudi Arabia, Japan, etc.), many of which are ranked among the top 150 by QS or Times Higher Education. He has co-authored over 100 papers published in CAS Q1 journals. His Google citation is over 48k with an h-index of 116. He has repeatedly served as co-chair of IEEE and ACM conferences. He has also served as a reviewer for numerous prestigious awards and honors, including those for members of the National Academy of Engineering (NAE), the Royal Academy of Engineering (FREng), the Royal Society (FRS), the Marie Curie Fellowship, FIEEE, and FIET.


Abstract: Colorectal cancer (CRC) remains a pressing global healthcare challenge, demanding systematic advancements in its management paradigm. This report provides a high-level overview of the evolving landscape of CRC research and clinical practice, focusing on the transformative role of integrated innovation in diagnosis, therapy, and translational medicine. It highlights the strategic value of technological breakthroughs, including advanced diagnostic approaches, computer-aided solutions, and novel therapeutic strategies, in advancing CRC care. Concluding with key future research priorities centered on validation, safety, and preclinical translational studies, this work underscores the synergy between basic research and clinical application, offering a strategic outlook for mitigating the global CRC burden.

Previous Talks

Date Speaker Title Materials
Apr 9, 2026 Bin Gao Low-rank Optimization Through the Lens of Geometry [Poster]
Mar 31, 2026 Zhuo Sun Multilevel Control Functional [Poster]
Mar 25, 2026 Jiancheng Yang Scaling Medical AI Without Scaling Cost in the Era of Generative AI [Poster]
Mar 24, 2026 Yang Cao Differential Privacy in LLM Fine-Tuning: What It Protects, What It Costs, and What It Doesn’t [Poster]
Mar 18, 2026 Zijun Cui AI + Knowledge: Unleashing the Power of Domain Knowledge for Advanced Artificial Intelligence [Poster]
Mar 12, 2026 Chenxi Yuan Enhance Prediction of Alzheimer’s Disease with Generative AI [Poster]
Mar 3, 2026 Ren Wang Robustness Through Collective Intelligence [Poster]
Feb 28, 2026 Huiyu Zhou Constructing Masterpieces From Missing Pieces [Poster]
Feb 10, 2026 Guibo Luo Benchmarking Multi-Party Privacy Computing and Exploring New Collaboration Paradigms [Poster]
Feb 5, 2026 Zeyu Zhang Bridging Scene Understanding and Motion Generation in Robot Manipulation [Poster]
Jan 28, 2026 Md Sajid Interpretable and Robust Randomized Neural Networks for Real-World Learning [Poster]
Jan 21, 2026 Bing Yang Shape-Aware Deep Learning for AS-OCT Analysis: Segmentation and Structural Uncertainty [Poster]
Jan 14, 2026 Mengdi Zhao Simulating Biological Intelligence: Bridging High-Fidelity Neuronal Modeling with Embodied Agents [Poster]
Jan 7, 2026 Xiangyu Chang Research on Efficient and Fair Data Element Pricing Mechanisms [Poster]
Dec 19, 2025 Shujian Huang Cross-lingual Knowledge Learning and Reasoning in Large Language Models [Poster]
Dec 17, 2025 Haotong Qin Extreme Discretization: Towards Efficient Intelligence and Systems in the Scaling Era [Poster]
Dec 3, 2025 Ningning Ding From Fair Unlearning Algorithms to Incentive-Compatible Mechanisms in Federated Unlearhing [Poster]
Oct 23, 2025 Raian Ali AI Design vs. Human Attitude, Learning, and Dependency [Poster]
Oct 22, 2025 Yuwen Li Higher Order Approximation Error Bounds for ReLU Neural Networks in Korobov Space [Poster]
Oct 13, 2025 Weijie Su The ICML 2023 Ranking Experiment: Empirical Performance and Analysis of the Isotonic Mechanism [Poster]
Sep 17, 2025 Fanghui Liu Bridging Theory and Practice: One-step Full Gradient Can Suffice for Low-rank Fine-tuning in LLMs [Poster]
Aug 20, 2025 Fan Yang RNA Recognition and Targeted Degradation: Mechanisms and Engineering Strategies based on RNA-Binding Domains (RBDs) [Poster]
Aug 4, 2025 Tao Luo The Theory of Parameter Condensation in Neural Networks [Poster]
Jul 29, 2025 Hangxin Liu Embodied Mobile Manipulation: Trajectory Optimization vs. Diffusion [Poster]
Jul 18, 2025 Yide Liu Constructing High-performance Robotic Insects With Origami Transmission Mechanism [Poster]
Jul 15, 2025 Hai Dong Mobile Edge Intelligence: When AI Meets Mobile Edge Computing [Poster]
Jun 30, 2025 Guangyi Chen Causal Representation Learning for Visual Understanding [Poster]

Organizers

Fenglei Fan, Assistant Professor in the Department of Data Science at the City University of Hong Kong
Shuren Qi, Postdoctoral Fellow in the Department of Data Science at the City University of Hong Kong