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

The Upcoming Talk
认识AI即认识自我

魏域波
中国美术学院

Date: October 13, 2026 (Tue)
Time: 10:00am (HKT)
Zoom: 801 137 0362

Biography: 青年学者，中国美术学院视觉中国协同创新中心博士后，毕业于北京大学中文系，获文学博士学位。致力于文学与思想史、艺术理论及古典学等领域的研究。


Abstract: 当算法飞速迭代却受困于“主观体验”时，我们该如何理解智能、意识与自由？本次报告立足认知哲学，从康威生命游戏与《你一生的故事》切入，聚焦自由意志与宿命论的悖论，剖析底层确定性规则与高阶自主选择的张力，指出自由意志并非反因果的随机性，而是复杂系统在多重因果下逐级涌现出的虚拟推演、反思与自我修正能力。“比较既周，爰生自觉”，人工智能领域推进了对人类意识的研究，而回溯人类自我与心智的演化，可以帮我们充分理解并表征主观体验，推进AI的研究。

Previous Talks

Date Speaker Title Materials
October 9, 2026 Jianxi Gao Network Robustness and Resilience: Theory and Applications in Human, Natural, and Infrastructure Systems [Poster]
September 18, 2026 Jicong Fan Towards Reliable and Generalizable Anomaly Detection [Poster]
September 10, 2026 Tianwei Zhang Visual Perception for Robot Loco- & Manipulation [Poster]
September 2, 2026 Baoyuan Wu Current Status and Future Prospects of Deepfake Detection [Poster]
August 26, 2026 Liangdi Zhang How Curvature Encodes Geometry: Spectra, Geometric PDEs, and Vector Bundles [Poster]
August 5, 2026 Yuekang Li Detecting Bugs in LLM Ecosystem [Poster]
July 28, 2026 Yiran Jiang Domain Adaptation Method Based on Decision Boundary Search in Frozen Feature Space [Poster]
July 27, 2026 Haofeng Li Data-centric AI Technology [Poster]
July 20, 2026 Adeel Razi Synthetic Biological Intelligence: Learning, Adaptation, and Brain-Inspired AI [Poster]
July 14, 2026 Ran Cheng From AI Coding to Software Evolution: Towards Trustworthy Evolutionary Agent Systems [Poster]
July 13, 2026 Yongqiang Cai Neural Networks as a Discretization of Dynamical Systems [Poster]
July 11, 2026 Renfeng Peng Geometric Methods for Low-Rank Tensor Optimization Problems [Poster]
June 25, 2026 Hongkang Li Towards a Mathematical Theory of Foundation Models [Poster]
June 18, 2026 Shuai Zhang Towards Theoretical Foundations of Foundation Models: Feature Learning, Optimization Dynamics, and Generalization [Poster]
June 11, 2026 Miao Zhang Large Model Compression and Inference Acceleration [Poster]
June 8, 2026 Jinwei Zhang Lesion-Centric Quantitative Neuroimaging: Integrating MRI Innovation and AI-Driven Analysis for Neurodegeneration [Poster]
June 5, 2026 Xiaolin Hu Brain-Inspired Speech Separation Models [Poster]
June 5, 2026 Lisha Chen Principled Preference-Guided Multi-Objective Learning: Navigating and Uniformly Traversing the Pareto Front [Poster]
May 28, 2026 Shirui Pan Boosting Large Language Model Reasoning with Knowledge Graphs [Poster]
May 13, 2026 Xiaojuan Qi 3D Representations for World Modeling and Generation [Poster]
May 7, 2026 Yuantian Miao The Audio Auditor: User-level Membership Inference in Internet of Things Voice Services [Poster]
Apr 29, 2026 Han Zhong Toward Principled Reinforcement Learning: From Statistical Complexity to Representation Complexity [Poster]
Apr 16, 2026 Yudong Zhang AI-Integrated Colorectal Cancer Research: Challenges, Progress and Innovation [Poster]
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