Jiawei Zhang

Harbin Institute of Technology — China

Computer Science · Physical Sciences

7h-index429citations35works0.32yr avg
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Research Topics

Advanced Graph Neural Networks(9), Topic Modeling(4), Machine Learning and Data Classification(4), Statistical Methods and Inference(3), Natural Language Processing Techniques(3)

Publications35 total

Virtual-Force Based Visual Servo for Multiple Peg-in-Hole Assembly With Tightly Coupled Multi-Manipulator
IEEE Robotics and Automation Letters·2026· 1 citedOpen Access
GeoPipe: a Geo-distributed LLM Training Framework with enhanced Pipeline Parallelism in a Lossless RDMA-enabled Datacenter Optical Transport Network
2025Open Access
A Masked Pre-training Model for CSI-Based Indoor Localization
Journal of Physics Conference Series·2025Open Access
Democratizing protein language model training, sharing and collaboration
Nature Biotechnology·2025· 1 cited
AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation
arXiv (Cornell University)·2025Open Access
Beyond RLHF and NLHF: Population-Proportional Alignment under an Axiomatic Framework
arXiv (Cornell University)·2025Open Access
GDDRec: graph neural diffusion model for diversified recommendation
Knowledge and Information Systems·2025
AsymFB: Accelerating LLM Training Through Asymmetric Model Parallelism
Lecture notes in computer science·2025
Self-attentive CycleGAN for Damaged Khitan Script Reconstruction
Lecture notes in computer science·2025
Efficient Training of Large Vision Models via Advanced Automated Progressive Learning
arXiv (Cornell University)·2024· 1 citedOpen Access
Continual-learning-based framework for structural damage recognition
arXiv (Cornell University)·2024Open Access
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
arXiv (Cornell University)·2024Open Access
Assisted Unsupervised Domain Adaptation
2023· 1 cited
Explainable multi-task learning for multi-modality biological data analysis
Nature Communications·2023· 94 citedOpen Access
Information criteria for model selection
Wiley Interdisciplinary Reviews Computational Statistics·2023· 75 citedOpen Access
Unsupervised Multi-document Summarization with Holistic Inference
2023· 5 citedOpen Access
Targeted cross-validation
Bernoulli·2022· 2 cited
Multi-task learning for single-cell multi-modality biology
2022· 2 cited
Parallel Assisted Learning
IEEE Transactions on Signal Processing·2022· 3 cited
A Self-supervised Mixed-curvature Graph Neural Network
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Philip S. Yu(7), Jie Ding(7), Yuhong Yang(6), Xin Tang(2), Yichun He(2), Xinhe Zhang(2), Zuwan Lin(2), Sebastian Partarrieu(2), Emma Bou Hanna(2), Zhaolin Ren(2), Xiao Wang(2), Na Li(2), Jia Liu(2), Bowen Dong(2), Chenwei Zhang(2), Tong Si(2), Kihyun Kim(2), Pablo A. Parrilo(2), Asuman Ozdaglar(2), Hao Shen(1)