About
My name is Wentao Huang (Chinese: 黄文韬). I recently received my Ph.D. in Computer Science from the National University of Singapore, where I was advised by Prof. Kian-Lee Tan and collaborated closely with Prof. Bingsheng He. My research focuses on designing high-performance data systems through hardware–software co-design, with particular emphasis on emerging memory technologies (e.g., CXL, HBM), scheduling, and efficient data processing on modern hardware. My broader interests include data management, machine learning systems, high-performance computing, and quantum computing.
I am currently on the industry job market and seeking research and engineering opportunities. I would also be happy to discuss potential research collaborations in related areas. Please feel free to get in touch.
Experience
Education
- Ph.D. in Computer Science
- Aug. 2020 - Feb. 2026, National University of Singapore
- M.Phil. in Computer Science
- Sep. 2017 - Jun. 2020, Renmin University of China
- B.S. in Electronic Engineering
- Sep. 2013 - Jun. 2017, Shandong University
Internships
- Student Research Assistant
- Aug. 2024 - Jun. 2026, National University of Singapore, Singapore
- Ph.D. Student Researcher
- Aug. 2023 - Jan. 2026, Phancy Group Co, Ltd, Singapore
- Research Engineer
- Jul. 2018 - Feb. 2019, Illinois Advanced Research Center at Singapore
Publications
Wentao Huang, Qiming Huang, Yunhong Ji, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan.
Taming Multi-Dimensional Skew in Sparse Matrix Multiplication with Contention-Aware Scheduling.
53rd International Conference on Very Large Data Bases (VLDB), 2027.
[Technical Report]
[Code]
[Media Coverage (Chinese)]
Wentao Huang, Fanfan Lin.
Quantum-Enhanced Knowledge Graph Systems: Survey, Taxonomy, and the Road to Scalability.
7th International Conference on Quantum Computing and Engineering (QCE), 2026.
[Slides]
Tongfeng Weng, Mo Sha, Xu Zhou, Jingjing Lu, Wentao Huang, Kenli Li, Kian-Lee Tan.
SMDG: Enhancing In-Memory Dynamic Graph Processing With Storage-Class Memory.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026.
[Paper]
Wentao Huang, Mian Lu, Kian-Lee Tan.
Hash Joins Meet CXL: A Fresh Look.
16th Conference on Innovative Data Systems Research (CIDR), 2026.
[Paper]
[Code]
[Slides]
Wentao Huang, Mo Sha, Mian Lu, Yuqiang Chen, Bingsheng He, Kian-Lee Tan.
Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing.
15th International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), 2024.
[Paper]
[Code]
[Slides]
[Media Coverage (Chinese)]
Yunhong Ji, Wentao Huang, Xuan Zhou.
HeterMM: applying in-DRAM index to heterogeneous memory-based key-value stores.
Frontiers of Computer Science (FCS), 18(4): 184612, 2024.
[Paper]
Yunhong Ji, Wentao Huang, Xuan Zhou, Bingsheng He, Kian-Lee Tan.
TaC: An Anti-Caching Key-Value Store on Heterogeneous Memory Architectures.
27th International Conference on Extending Database Technology (EDBT), 2024.
[Paper]
[Code]
[Slides]
Wentao Huang, Yunhong Ji, Xuan Zhou, Bingsheng He, Kian-Lee Tan.
A Design Space Exploration and Evaluation for Main-Memory Hash Joins in Storage Class Memory.
49th International Conference on Very Large Data Bases (VLDB), 2023.
[Paper]
[Technical Report]
[Code]
[Slides]
[Video]
Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang.
BiANE: Bipartite Attributed Network Embedding.
43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020.
[Paper]
[Supplementary]
[Code]
[Slides]
[Video]
[Media Coverage (Chinese)]
Services
- Review Board / Program Committee Member
- VLDB’27, ADMS’25, DL4C@NeurIPS’25.
- Invited Reviewer
- FCS’26, DPD’26, ISCAS’24.
- Student Area Search Committee
- NUS SoC, 2025–2026.
- Research Session Deputy Chair
- EDBT'24.
- Artifact Evaluation Committee
- SOSP’23, OSDI’23, EuroSys’23, USENIX ATC’23.
- Shadow Program Committee Member
- VLDB’26.
Talks
- Scaling Data Infrastructure: Building Bandwidth-Intensive Systems with CXL.
- Institute of Computing Technology, Chinese Academy of Sciences, Aug. 2026
- Accelerating Data-Intensive Systems with Emerging Large-Scale Memory Technologies.
- Shanghai Innovation Institute, Dec. 2025