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Microsoft Research Asia StarTrack Scholars Program

Region: Global

We are delighted to unveil the results of the esteemed MSR Asia StarTrack Scholars 2024 program.

Foremost, we express our sincere appreciation to all applicants who showcased remarkable dedication and passion in advancing research within their respective fields. Your contributions have significantly enriched our selection process, highlighting the depth of talent and innovation present within our global research community.

From a wealth of highly valuable proposals, we meticulously identified those that closely align with the focal collaborative research themes of this year’s program, encompassing Societal AI, Media Foundation, and Sustainability. Additionally, we selected projects that resonate with key research areas within our labs, including AI-Driven Advancement in System and Infrastructure, Embodied AI, Large Language Models, and Healthcare.

Following thorough review and evaluation, we are delighted to announce the selection of 17 exceptional scholars, listed below:

Name University Project
Xu Chen Renmin University of China Social Simulation with Humanoid Large Language Models
Weiran Huang Shanghai Jiao Tong University LLM Evaluation Based on Matrix Entropy
Linus Huang Hong Kong University of Science and Technology Dynamic Value Alignment: Enhancing Ethical AI through User-Centric Adaptability
Qi Mao Communication University of China Neural Codecs-Generative and Cross-modal Compression
Xixin Wu The Chinese University of Hong Kong Multimodal Large Language Model based on Shared Space
Renhe Jiang The University of Tokyo Uncertainty-Aware Machine Learning Models for Spatiotemporal Forecasting
Cheng Tan Northeastern University Ensuring Correctness and Reliability of Large-scale Distributed Training and Inference in the LLM Era
Luo Mai University of Edinburgh Exploring Next-Generation AI Accelerator System Stack
Xiangyu Xu Xi’an Jiao Tong University Large Foundation Model for 3D Human Pose Estimation
Ye Pan Shanghai Jiao Tong University Stylized 3D avater generation and real time animation
Xiaohong Liu Shanghai Jiao Tong University Multi-Modal Reconstruction and Quality Assessment for Neuroimaging
Hao Wu Nanjing University Synergistic Edge Intelligence Based on Retrieval-Enhanced Large Language Models
Yujiang Wang Oxford Suzhou Centre for Advanced Research ICU-LLM: A Multi-modal Large Language Model for Understanding Structured and Unstructured Medical Records in Intensive Care Units
Xie Chen Shanghai Jiao Tong University Multitask-oriented Speech Large Model Research
Danfeng Shan Xi’an Jiaotong University Efficient network buffer management scheme for large-scale AI clusters
Xingyu Gao Chinese Academy of Sciences Multimodal Perception and Embodied Intelligence
Jian Li Institute of Information Engineering, Chinese Academy of Sciences Lightweight Large Language Models for Complex Reasoning Tasks