My CVAbout Me
Here is Tianyu Feng (Tim, 冯天昱).
I am a Year 1 PhD student in Computer Science and Engineering at HKUST, advised by Prof. Wei WANG.
Formerly I got my master’s in Computer Science and Technology in HiPO Group at Beihang University, advised by Prof. Hailong Yang.
I would always be happy to collaborate! Email me at - tian[dot]yu[dot]feng[at]outlook[dot]com
Research Background
- Sep 2025 - now: Phd @ HKUST CSE (The Hong Kong Univ. of Sci. & Tech.)
- Apr 2025 - now: Research Intern @ Alibaba Group
- Feb 2025 - Aug 2025: Research Assistant @ HKUST CSE
- Sep 2022 - June 2025: MEng @ Beihang University (BUAA) (CS) (计算机科学与技术, 学术型硕士)
- GPA: 3.87 / 4.0, Rank: 8 / 132 (Top 6%)
- Sep 2018 - June 2022: BEng @ Beihang University (BUAA) (CS) (计算机科学与技术, 工学学士)
- GPA: 92.81 / 100, Rank: 4 / 195 (Top 2%)
Research Interests
- Machine Learning Systems (MLSys): including training, inference and model serving systems.
- Generative AI (GenAI/AIGC): system optimization for GenAI workloads including text2image/text2video/image2video tasks characterized by diffusion models.
- Sparse Computing: including sparse kernel optimization and sparsity excavation.
My research interests mainly cover machine learning systems. Currently, I’m focusing on optimizing machine learning systems, especially diffusion-based image/video foundation model training and generation systems, from multiple perspective including kernels, data placement and scheduling. I’m also working on exploiting sparsity in various computing workloads including AI and HPC on many-core and heterogeneous systems. The ultimate goal is to shorten computing time of solving significant real world problems.
News and Updates
- Jun 2025: I has successfully defended a master’s thesis and earned the MEng degree. Sincere appreciation is extended to my advisor Prof. Hailong Yang for his guidance and support throughout this academic journey.
- Apr 2025: Offered HKPF (Hong Kong PhD Fellowship) 25/26. Sincere gratitude to all who supported the application process.
- March 2024: One work (AtRec [source code]) is accepted by IEEE Transactions on Parallel and Distributed Systems (TPDS). Great thanks to my advisor Prof. Hailong Yang and my excellent collaborator Siqi Wang!
- Sep 2023: Awarded First Prize of Beihang School of Computer Science and Engineering Academics Scholarship.
- Aug 2023: Our team won Third Prize in SolverChallenge23. Thanks to my advisor Prof. Hailong Yang and my teammate Kelun Lei.
- Dec 2022: Our team won Second Prize (rank 2/45) in Tianchi Competition: DeepRec CTR Model Performance Optimization. Thanks to my teammate Siqi Wang!
- Oct 2022: Awarded National Scholarship.
- Sep 2022: Awarded First Prize of Beihang School of Computer Science and Engineering Academics Scholarship.
- Nov 2021: dgQuEST was selected as the best paper in NPC 2021!
- Sep 2021: One work (dgQuEST [source code]) was accepted by NPC 2021. Great thanks to my advisor Prof. Hailong Yang and Dr. Xin You!
- May 2021: Our team won First Prize and Application Innovation Award (highest score in quantum circuit simulation) in ASC20-21. Great thanks to my teammates Siyan Chen, Quqi Liu, Jiwei Hao, Chun Cai and our advisor Prof. Hailong Yang!
Programming Languages, Frameworks and Other Skills
- Programming/Script Languages: C/C++, Python, Bash
- Parallel Programming Models: MPI, OpenMP, CUDA
- Utilities/Systems/Tools: Git, Docker, Linux, CMake, Spack
- AI/ML Frameworks: PyTorch, TensorFlow