Darshan Baral

Wentao Huang

Ph.D. in Computer Science

National University of Singapore

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