

Biography: Tianwei Zhang is an Associate Research Scientist at Shenzhen Institute of Artificial Intelligence and Robotics for Society, Research Assistant Professor in the Chinese University of Hongkong, Shenzhen. He received Doctor Degree from the Department of Mechano-Informatics, The University of Tokyo, 2019. His research interests are visual manipulation and dynamic SLAM. He has published several articles in ICRA/IROS/RAL.
Abstract: Robot perception includes many kinds of sensory data processing and artificial intelligence/machine learning (AI/ML) techniques. Examples of robot perception capabilities include object detection, environment understanding, state estimation, and human/pedestrian detection, among others. It is related to many applications in robotics such as path planning, control and loco-manipulation. due to progress in the use of robots in unstructured environments, robots are increasingly being used in non-traditional application domains ranging from collaborative manufacturing to assisted living environments. In these shared autonomy scenarios, robot perception system needs the ability to efficiently and accurately model and predict human motions to improve safety and efficiency in Human Robot Collaboration (HRC) scenarios.
| Date | Speaker | Title | Materials |
|---|---|---|---|
| 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] |