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Wendong XU (徐文栋)Ph.D. Student
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Algorithm & Architecture & AI
Biography
I am a first-year Ph.D. Student at the Department of Electrical and Electronic Engineering, the University of Hong Kong (HKU), supervised by Prof. Ngai WONG and Prof. Bei YU. I received M.S. in Computing Technology from ICT.CAS and B.S. in Computer Science and Technology from BISTU.
My research interests include HPC especially in parallel computing and deep learning compiler. I am also interested in distributed systems and applied artificial intelligence.
Before starting my PhD student career, I was a senior software engineer at Baidu. I was dedicated to the design and development of sharding management system and succinct data structure. I used to work on computer vision during my masters.
Contect
Email: kirai.wendong [at] gmail.com
Research Interest
Deep Learning Compiler
Machine Learning System
Publication
[S3] Xu W, Chen C, et al. “RaccoonServe: Soft Prefill–Decode Disaggregation with Hybrid Scheduling for LLM Serving”, Manuscript submitted for publication in HPCA’26, 2025
[S2] Xu W, Xiong J, Zhao C, et al. “SWINGARENA: Competitive Programming Arena for Long-context GitHub Issue Solving”, Manuscript submitted for publication in ICLR’26, 2025
[S1] Xu W, et al. “PASProxy: Performance-Aware Scheduling Proxy for Distributed Large Language Model Serving”, Submitted for publication in IPDPS’26, 2025
[J2] Xu W, Ji Y, Bai Y, Li Y, Zhao Y, Liu Z, Yu B, Wong N. “PPD: A Portable and Highly Parallel Dispatching System for Deep Learning”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2024
[J1] Liu H*, Xu W D* (equal contribution), Shang Z H, et al. “Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning”, Frontiers in Oncology [IF 5.738], 2022
[C3] Xu W, Chen C, Xiao H, Li K, Xiong J, Zhang C, Zhou W, Tao C, Bai Y, Yu B, Wong N. “AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism”, Design, Automation and Test in Europe (DATE’26), 2025
[C2] Xu W, Liu H, Wang X, et al. “CoUNet: An End-to-End Colonoscopy Lesion Image Segmentation and Classification Framework”, International Conference on Video and Image Processing (ICVIP), 2020
[C1] Xu W, Liu H, Wang X, et al. “Liver segmentation in CT based on ResUNet with 3D probabilistic and geometric post process”, International Conference on Signal and Image Processing (ICSIP), 2019
[P3] Xu W, Wang N. “Performance benchmarking methods, devices, equipment and storage media for index data structures”, CN116204441A, 2023
[P2] Xu W. “Distributed job executing method, device, equipment and storage media”, CN116069497A, 2022
[P1] Xu W, Liang J, et al. “Numerical storage method, Numerical query method, equipment”, CN114817651B, 2022
Publication (Participated Contributor)
[S] Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Xu W, et al. “PhyX: Does Your Model Have the 'Wits’ for Physical Reasoning?”, Manuscript submitted for publication in NeurIPS’25, 2025
[C] Yueting Li, Wanshuang Lin, Xu W, et al. “A Custom RISC-V ISA with Scalable Processing Units for Efficient Neural Network Inference”, Design Automation Conference Engineering Track Poster (DAC-ENG), 2025
[J] Bai Y, Li M, Xu W, Yu B. “A Learned Performance Model with Transfer Learning Across GPUs on Tensorized Instruction”, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025
[S] Chen Zhang, Weixin Bu, Xu W, et al. “Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling”, arXiv:2510.17106, 2025
[S] Weichu Liu, Jing Xiong, Xu W, et al. “LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction”, arXiv:2509.07403, 2025
[S] He Xiao, Qingyao Yang, Xu W, et al. “Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models”, arXiv:2508.03332, 2025
Education
Ph.D. Student, Department of Electrical and Electronic Engineering, The University of Hong Kong (HKU)
M.Eng., Institute of Computing Technology(ICT), University of Chinese Academy of Sciences (UCAS)
B.Eng., School of Computer, Beijing Information Science and Technology University (BISTU)
Experiences
Baidu Beijing, China
Senior Software Engineer, Basic Searcher
Bytedance Beijing, China
Infra Intern, Xiaohe
Megvii Beijing, China
Research Intern, Base Model
Google Beijing, China
Software Engineer Intern in ML, Mobile-first Indexing
Tsinghua University Beijing, China
Visiting Student, Knowledge Engineering Group(KEG)
Selected Awards
| Full Postgraduate Studentship, | The University of Hong Kong |
| Postgraduate Studentship, | University of Chinese Academy of Sciences |
| Bronze Medals, | ACM/ICPC Xi'An, Beijing Regional |