This is Tong Wei
I am Tong Wei, a passionate developer and researcher. Welcome to my personal website, a platform showcasing my projects, research achievements, and thoughts.
Educational
- B.S. in Math & Computer Sicence, University of Illinois Urbana Champaign, Graduate in 2026
Research Interests
Systems and Infrastructure:
Scalable Systems for Machine Learning, Distributed and High-Performance Machine Learning Infrastructure, Scalable Parallel Systems for Large-Scale AI (MoE, LLM Training Acceleration, Redundancy Reduction)Algorithms and Applications:
Efficient Optimization Algorithms for Training and Fine-Tuning (Parameter-Efficient, Pre/Post-Training), Systems and Algorithms for Efficient Large-Scale ML Applications (LLMs, DLRM, DiT, Generative AI), RLHF, Reinforcement Learning & Algorithms,
Publications
Wei, T., et al. RecScale: System-Aware Scaling Laws for Deep Learning Recommendation Models.
Under submission to the 21st ACM European Conference on Computer Systems (EuroSys 2026).Fan, J., Wei, T., et al. Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models.
Accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025).Venkatraman, A., Cao, H., Wei, T., et al. MSAFlow: A Unified Approach for MSA Representation, Augmentation, and Family-based Protein Design.
Accepted at the NeurIPS AI4Science Workshop 2025; Under submission to the International Conference on Learning Representations (ICLR 2026).
Contact Information
- Email: twei11@illinois.edu
- GitHub: TomekWei
- LinkedIn: TongWei
This website is still under construction. Thank you for visiting, and I look forward to connecting with you!
