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Wendong XU (徐文栋)Ph.D. Student
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Algorithm & Architecture & AI
Biography
I am a Ph.D. Candidate at the Department of Electrical and Electronic Engineering, the University of Hong Kong (HKU) (Sept 2023 - Jun 2027 Exp.), supervised by Prof. Bei YU and Prof. Ngai WONG. I received M.Eng. in Computer Technology from Institute of Computing Technology, University of Chinese Academy of Sciences (UCAS) (2018-2021), and B.Eng. in Computer Science and Technology from Beijing Information Science and Technology University (BISTU) (2014-2018).
My research interests include Code Agent and Machine Learning System.
I am currently a Co-Founder and Research Scientist at UnPat AI (Oct 2025 - Present). Before starting my PhD, I was a Senior Software Engineer at Baidu (Jul 2021 - Aug 2023), where I worked on the evolution of General Search Sort and Recall's Architecture, including performance optimization, distributed system design, and succinct data structures for inverted indexes.
Contect
Email: kirai.wendong [at] gmail.com
Research Interest
Code Agent
Machine Learning System
Publication
Conference Papers
[C1] Wendong XU, Jing XIONG, Chenyang ZHAO, et al. “SWINGARENA: Competitive Programming Arena for Long-context GitHub Issue Solving”, International Conference on Learning Representations (ICLR’26 Oral), 2025
[C2] Wendong XU, Chujie CHEN, He XIAO, Kuan LI, Jing XIONG, Chen ZHANG, Wenyong ZHOU, Chaofan TAO, Yang BAI, Bei YU, Ngai WONG. “AnchorTP: Resilient LLM Inference with State-Preserving Elastic Tensor Parallelism”, Design, Automation and Test in Europe (DATE’26), 2025
[C3] Wendong XU, Chujie CHEN, et al. “RaccoonServe: Soft Prefill–Decode Disaggregation with Hybrid Scheduling for LLM Serving”, Manuscript, 2025
[C4] Wendong XU, et al. “PASProxy: Performance-Aware Scheduling Proxy for Distributed Large Language Model Serving”, Manuscript, 2025
[C5] Wendong XU, Hong LIU, Xiangdong WANG, et al. “CoUNet: An End-to-End Colonoscopy Lesion Image Segmentation and Classification Framework”, International Conference on Video and Image Processing (ICVIP’20), 2020
[C6] Wendong XU, Hong LIU, Xiangdong WANG, et al. “Liver segmentation in CT based on ResUNet with 3D probabilistic and geometric post process”, International Conference on Signal and Image Processing (ICSIP’19), 2019
Journal Papers
[J1] Wendong XU, Yuhao JI, Yang BAI, Yueting LI, Yuxuan ZHAO, Zhengwu LIU, Bei YU, Ngai WONG. “PPD: A Portable and Highly Parallel Dispatching System for Deep Learning”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2024
[J2] Hong LIU*, Wendong XU* (equal contribution), Zihao SHANG, et al. “Breast Cancer Molecular Subtype Prediction on Pathological Images with Discriminative Patch Selection and Multi-Instance Learning”, Frontiers in Oncology, 2022
Patents
[P1] Wendong XU, Ning WANG. “Performance benchmarking methods, devices, equipment and storage media for index data structures”, CNIPA, Patent No. CN116204441A, 2023
[P2] Wendong XU. “Method, apparatus, device and storage medium for executing distributed task”, CNIPA, Patent No. CN116069497A, 2022
[P3] Wendong XU, Jin LIANG, Pengyu SUN, Wenbo YANG. “Numerical storage method, Numerical query method, equipment”, CNIPA, Patent No. CN114817651B, 2022
Publication (Participated Contributor)
[C1] Hui SHEN, Taiqiang WU, Qi HAN, Yunta HSIEH, Jizhou WANG, Yuyue ZHANG, Yuxin CHENG, Zijian HAO, Yuansheng NI, Xin WANG, Zhongwei WAN, Kai ZHANG, Wendong XU, et al. “PhyX: Does Your Model Have the 'Wits’ for Physical Reasoning?”, arXiv:2505.15929, 2025
[C2] Chen ZHANG, Weixin BU, Wendong XU, et al. “Fighter: Unveiling the Graph Convolutional Nature of Transformers in Time Series Modeling”, arXiv:2510.17106, 2025
[C3] He XIAO, Qingyao YANG, Dirui XIE, Wendong XU, et al. “Exploring Layer-wise Information Effectiveness for Post-Training Quantization in Small Language Models”, arXiv:2509.16989, 2025
[C4] Weichu LIU, Jing XIONG, Yuxuan HU, Zixuan LI, Minghuan TAN, Ningning MAO, Chenyang ZHAO, Zhongwei WAN, Chaofan TAO, Wendong XU, et al. “LongEmotion: Measuring Emotional Intelligence of Large Language Models in Long-Context Interaction”, arXiv:2509.07403, 2025
[C5] He XIAO, Runming YANG, Qingyao YANG, Wendong XU, et al. “PTQTP: Post-Training Quantization to Trit-Planes for Large Language Models”, arXiv:2509.16989, 2025
[C6] Yueting LI, Wanshuang LIN, Wendong XU, et al. “A Custom RISC-V ISA with Scalable Processing Units for Efficient Neural Network Inference”, Design Automation Conference Engineering Track Poster (DAC-ENG’25), 2025
[J1] Yang BAI, Mingjun LI, Wendong XU, Bei YU. “A Learned Performance Model with Transfer Learning Across GPUs on Tensorized Instruction”, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2025
Education
Ph.D. Candidate, Department of Electrical and Electronic Engineering, The University of Hong Kong (HKU), Sept 2023 - Jun 2027 (Exp.)
Supervised by Prof. Bei YU and Prof. Ngai WONG
Research Interests: Code Agent, Machine Learning System
M.Eng. in Computer Technology, Institute of Computing Technology (ICT), University of Chinese Academy of Sciences (UCAS), Sept 2018 - Jun 2021
Research Interests: Machine Learning System, Deep Learning, Computer Vision
B.Eng. in Computer Science and Technology, Beijing Information Science and Technology University (BISTU), Sept 2014 - Jun 2018
Mainly Working on: Competitive Programming
Experiences
Full-time Employment
UnPat AI Beijing / Shanghai, China
Research Scientist (Co-Founder), Oct 2025 - Present
Baidu Beijing, China
Senior Software Engineer, Core Searcher (Page Searcher), Jul 2021 - Aug 2023
Worked on the evolution of General Search Sort and Recall's Architecture
Performance optimization of recall system, distributed system design, and succinct data structures for inverted indexes
Selected Internship Experience
Research Institute, Anonymous Chip Company Shanghai, China
Research Intern, Dec 2023 - May 2024
Designed and implemented heterogeneous LLM inference system
Bytedance Beijing, China
Software Engineer Intern, Feed (Xiaohe), May 2020 - Sept 2020
Worked on feed recommendation system
Google Beijing, China
Software Engineer Intern in ML, Mobile-first Indexing, Mar 2019 - Jul 2019
Improved efficiency of MF indexing monitoring products
Megvii Beijing, China
Research Intern, Base Model, Sept 2019 - Feb 2019
Researched on image semantic segmentation
Momenta Beijing, China
Research and Development Intern, DMS, Feb 2019 - Mar 2019
Designed algorithm for driver fatigue detection
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 |