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AI Thrust Continouisly Provides Seminars to Share Our Best

Generative Reasoning in Pretrained Language Models

Deploying Intelligent Autonomy at a Large Scale – Generalizability, Safety, Embodiment

Automatic Captioning of Open Visual World

Facial Representation Learning & its Applications in Facial Editing

Physics-informed Scientific Computing

Large Language Model (LLM) in Autonomous Driving

Online Ensemble: A Theoretical Framework for Non-stationary Online Learning

Knowledge-driven AI and Think-on-Graph

Pretrained Models, Alignment Tech and Agents

Planting a Seed of Vision in Large Language Model

An Introduction to Balanced Multimodal Learning

On Robustness of Vision Models in the 3D World

Learning Universal Representations Across Tasks and Domains

Towards Efficient Video Understanding

The Rise of Vision-Language Foundation Models: Methods, Evaluation and Applications

RHOS: Robot, Human, Object, and Scene

Recent Progress of Generative AI in HUAWEI Noah’s Ark Lab

Developing an Internet and Blockchain Emulator for Reseach and Education

Cross-modal Pretraining for Open-set Detection and Segmentation

Modeling Visual Data Structures for Semantic Segmentation

Searchable Symmetric Encryption and its Attacks

Enhanced 3D Point Cloud Analysis and its Applications

AI-driven 3D Content Generation & Reconstruction for Intelligent Systems

ChatGPT惊艳：人工智能对人类未来的”危与机”

数据驱动的人工智能研究青年学者交流论坛

Data is Urgent to 3D Research Community

Meta-Learning for Complex Tasks

Machine Learning in Model Predictive Control

Translating Across Modalities: Innovations in Visual-to-Text and Text-to-Visual Generation

Developing Interpretable Temporal Point Process Models for Healthcare

Harnessing Vibrations for Finger Interactions with Commodity Smartwatches

Broaden Your Vision With AI-driven Omnidirectional 3D Vision Systems

Data-centric Machine Learning on Graph

Saddle Flow Dynamics: Convergence, Algorithms, and Application to Constrained Reinforcement Learning

Distributed Optimization and Privacy Preservation with Quantized Communication

Adversarial Bayesian Simulation

Learning Terrain Adaptative Locomotion with Agile Behavior by Imitating Animals

Chasing Sparsity: From Model, to Algorithm, to Science

AI-Empowered Financial Services

Real-time DNN Execution on Mobile Devices with Compiler Optimizations

Robust Geometry Processing Algorithms for 3D Reconstruction and Perception

Applications of Graph Convolutional Networks (GCN)

Learning-Augmented Algorithms for Cyber-Physical Systems: Limitations, Solutions, and Future Directions

Feedback Communication via Deep Learning?

Foundations of Modern Recommender System

DeepOPF: deep neural network for Running the Power Grids

Learning and Control for Energy Systems

Learning to see 3D world with minimal human supervision

A New Unified Quantization Framework for Few-shot Transfer Learning

Reading to Learn: Improving Generalization by Learning From Language