I am currently a second-year master student at Institute for Artificial Intelligence, Peking University (PKU), supervised by Prof. Meng Li and Prof. Runsheng Wang. Pior to that, I received the B.S. degree from University of Electronic Science and Technology of China (UESTC) in 2023, supervised by Prof. Fan Zhou. My current research interests primarily focus on the Efficient AI Algorithm/System, Multimodal LLM, and LLM Reasoning. From 2022, I have also explored a lot in the field of Privacy-Preserving Machine Learning (PPML), focusing on accelerating the private inference systems via protocol-algorithm co-optimization.
Welcome to my blog, where I keep recording my study notes and knowledge summaries about computer science from 2019.
🌟 Currently, I am actively seeking Ph.D. opportunities for 2026 Fall. If you are interested in me, please contact me! My EN and CN resumes are available here: [EN] [CN]
📖 Educations
- [2023.09-2026.06] M.S. Peking University (PKU)
- [2019.09-2023.06] B.S. University of Electronic Science and Technology of China (UESTC)
🔥 News
- 🎉 [2025.5.21] Receive my first internship offer from Microsoft AI!
- 🎉 [2025.5.13] Welcome to my newly updated homepage! I finally change my homepage template today (lazy me 😮💨)
- 🥺 I also hope there will be some good news in the near future 🙏 Be patient :)
📝 Publications
- H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
Under Review - UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference
Weikai Xu*, Wenxuan Zeng*, Qianqian Huang, Meng Li, Ru Huang
DAC 2025, [Paper] - OptiPrime: Efficient Private Inference at ImageNet Scale
Jiangrui Yu, Ye Yu, Si Chen, Wenxuan Zeng, Junfeng Fan, Runsheng Wang, Ru Huang, Meng Li
Work in Progress - MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference
Wenxuan Zeng, Ye Dong, Jinjin Zhou, Junming Ma, Jin Tan, Runsheng Wang, Meng Li
Preprint 2025, [Paper] - FlexHE: A Flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference
Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun (Eric) Liang, Runsheng Wang, Ru Huang, Meng Li
ICCAD 2024, [Paper] - PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
Tianshi Xu, Shuzhang Zhong, Wenxuan Zeng, Meng Li, Runsheng Wang, Ru Huang
ICCAD 2024, [Paper] - BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa Li, Shengbo Eben Li, Chengzhong Xu
AAAI 2024, [Paper] - EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization
Wenxuan Zeng, Tianshi Xu, Cheng Hong, Meng Li, Runsheng Wang
Preprint 2024, [Paper] - Kuaiji: the First Chinese Accounting Large Language Model
Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu Chen, Yufei Nai, Wenxuan Zeng, Wentao Zhang, Xinke Jiang
Preprint 2024, [Paper] - CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-jie Lu, Runsheng Wang, Ru Huang
NeurIPS 2023, [Paper] - MPCViT: Searching for Accurate and Efficient MPC-friendly Vision Transformer with Heterogeneous Attention
Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-jie Lu, Jin Tan, Runsheng Wang, Ru Huang
ICCV 2023, [Paper] - Factual Error Correction via Iterative Constrained Editing
Jiangjie Chen*, Rui Xu*, Wenxuan Zeng, Changzhi Sun, Lei Li, Yanghua Xiao
AAAI 2023, [Paper] - Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
Zhiyuan Wang*, Fan Zhou*, Wenxuan Zeng*, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen
KDD 2022, [Paper]
🎖 Honors and Awards
- [2024] Third Prize Scholarship at Peking University
- [2024] Merit Student Scholarship at Peking University
- [2023] Outstanding Graduate Student and Honors Research Certificate at UESTC
- [2020,2021,2022] Outstanding Student Scholarship and “Innovation and Entrepreneurship Training Plan” at UESTC
- [2022] Special Prize of “Tencent” Scholarship (3 Places at UESTC in Total)
- [2021] First Prize of “Shi Qiang” Scholarship (5 Places at UESTC in Total)
🏆 Competition Awards
- [2024] Badminton Competition of Institute for Artificial Intelligence at Peking University, The 2nd Prize
- [2023] Annual Symposium and Tech Day of Institute for Artificial Intelligence at Peking University, Most Popular Award
- [2023] China Collegiate Computing Contest, National Special Prize (the 1st Place)
- [2022] “Pan-Pearl River Delta” Collegiate Computer Work Competition, National Third Prize
- [2021] China Collegiate Computing Contest, National First Prize (the 1st Place)
- [2021] “Zhong Gong Cup” Sichuan Collegiate Computer Work Competition, Provincial Special Prize
💬 Invited Activities
- [2025.1] Display our NeurIPS poster at West Lake Forum on Cyberspace Security 2024, Zhejing University, Hangzhou
- [2024.5] Record and launch the course about “Privacy-Preserving Machine Learning” with Ant Group [Link]
💻 Internships
- [2025.5-present] Microsft Research Asia (supervised by Dr. Mengyu Zhou)
- [2022.6-present] Institute for Artificial Intelligence, Peking University (supervised by Prof. Meng Li and Prof. Runsheng Wang)
- [2022.4-2022.7] Knowledge Works Research Laboratory, Fudan University (supervised by Prof. Yanghua Xiao)
- [2021.6-2022.6] Sichuan Key Laboratory of Network and Data Security, UESTC (supervised by Prof. Fan Zhou)
- [2021.8-2022.5] Communication and Information Security Laboratory, Peking University (supervised by Prof. Yuesheng Zhu)
📚 Academic Services
- Serving as a reviewer of NeurIPS 2025
💡 Lifestyle
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“Life is not about waiting for the storm to pass, but about learning to dance in the rain.” - Helen Keller
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I am self-motivated at work, but I also seek balance and happiness in my life. “Reading thousands of books and traveling thousands of miles.”
- My hobbies include but are not limited to 🎤singing, 🎸guitar, 🏂skiing, 🏸badminton, and various novel and interesting things like Rubik’s Cube. Feel free to discuss these interests and hobbies with me!
Guitar
Skiing
