Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks. - Zhiyuan Wang 006; Fan Zhou 002; Wenxuan Zeng; Goce Trajcevski; Chunjing Xiao; Yong Wang 046; Kai Chen 005 (KDD, 2022)

MPCViT: Searching for MPC-friendly Vision Transformer with Heterogeneous Attention. - Wenxuan Zeng; Meng Li 004; Wenjie Xiong 001; Wenjie Lu; Jin Tan; Runsheng Wang; Ru Huang 001 (CoRR, 2022)

Converge to the Truth: Factual Error Correction via Iterative Constrained Editing. - Jiangjie Chen; Rui Xu 026; Wenxuan Zeng; Changzhi Sun; Lei Li 005; Yanghua Xiao (AAAI, 2023)

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. - Wenxuan Zeng; Meng Li 004; Wenjie Xiong 001; Tong Tong; Wen-Jie Lu; Jin Tan; Runsheng Wang; Ru Huang 001 (ICCV, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wen-jie Lu; Runsheng Wang; Ru Huang 001 (NeurIPS, 2023)

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference. - Wenxuan Zeng; Meng Li 004; Haichuan Yang; Wenjie Lu; Runsheng Wang; Ru Huang 001 (CoRR, 2023)

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 001 (CoRR, 2023)

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li; Huanming Shen; Wenxuan Zeng; Dongping Liao; Guofa Li; Chengzhong Xu 001 (AAAI, 2024)

FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. - Songhua Yang; Xinke Jiang; Hanjie Zhao; Wenxuan Zeng; Hongde Liu; Yuxiang Jia (LREC/COLING, 2024)

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. - Jiangrui Yu; Wenxuan Zeng; Tianshi Xu; Renze Chen; Yun Liang 001; Runsheng Wang; Ru Huang 001; Meng Li 004 (ICCAD, 2024)

ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment. - Yangyifei Luo; Zhuo Chen 007; Lingbing Guo; Qian Li 033; Wenxuan Zeng; Zhixin Cai; Jianxin Li 002 (CoRR, 2024)

Kuaiji: the First Chinese Accounting Large Language Model. - Jiayuan Luo; Songhua Yang; Xiaoling Qiu; Panyu Chen; Yufei Nai; Wenxuan Zeng; Wentao Zhang 008; Xinke Jiang (CoRR, 2024)

EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization. - Wenxuan Zeng; Tianshi Xu; Meng Li 004; Runsheng Wang (CoRR, 2024)

PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. - Tianshi Xu; Shuzhang Zhong; Wenxuan Zeng; Runsheng Wang; Meng Li 004 (IACR Cryptol. ePrint Arch., 2024)

Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives. - Wenxuan Zeng; Tianshi Xu; Yi Chen; Yifan Zhou; Mingzhe Zhang; Jin Tan; Cheng Hong; Meng Li (IACR Cryptol. ePrint Arch., 2025)

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 004 (CoRR, 2025)

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 004; Ru Huang 001 (CoRR, 2025)