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Wenxuan Zeng

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving
2024 · Haicheng Liao, Zhenning Li, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 67
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Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks
2022 · Zhiyuan Wang, Fan Zhou, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 28
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
2023 · Wenxuan Zeng, Meng Li, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 21
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An Engineered Nanovesicles-Based Lysosome-Targeting Protein Degradation Platform (NV-TACs) for Cancer Immunotherapy
2026 · Youmei Xiao, Xiuman Zhou, et al. · Journal of the American Chemical Society · 11
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
2023 · Jiangjie Chen, Rui Xu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 9
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CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
2023 · Wenxuan Zeng, Meng Li, et al. · neural information processing systems · 5
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UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference
2025 · Weikai Xu, Wenxuan Zeng, et al. · Proceedings - ACM IEEE Design Automation Conference · 3
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
2026 · Li, Chenxi, Zeng, Wenxuan, et al. · arXiv (Cornell University)
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OptiPrime: Optimizing Private Inference through Protocol-Hardware Co-design
2026 · Yu, Jiangrui, Yu, Ye, et al. · arXiv (Cornell University)
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T cell–nanodrug conjugates synchronize vascular normalization and immune activation for solid tumor therapy
2026 · Xin Yang, Ye Su, et al. · Science Advances
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
2026 · Shuocheng Li, Yihao Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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UFO: Unlocking Ultra-Efficient Quantized Private Inference with Protocol and Algorithm Co-Optimization
2026 · Zeng, Wenxuan, Yang, Chao, et al. · arXiv (Cornell University)
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P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
2026 · Luo, Yun, Wang, Futing, et al. · arXiv (Cornell University)
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Attention Sink Forges Native MoE in Attention Layers: Sink-Aware Training to Address Head Collapse
2026 · Fu, Zizhuo, Zeng, Wenxuan, et al. · arXiv (Cornell University)
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Towards Efficient Privacy-Preserving Machine Learning: A Systematic Review from Protocol, Model, and System Perspectives
2025 · Zeng, Wenxuan, Xu, Tianshi, et al. · arXiv (Cornell University)
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MPCache: MPC-Friendly KV Cache Eviction for Efficient Private LLM Inference
2025 · Wenxuan Zeng, Ye Dong, et al. · neural information processing systems
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PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization
2024 · Tianshi Xu, Shuzhang Zhong, et al.
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FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference
2024 · Jiangrui Yu, Wenxuan Zeng, et al.
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EQO: Exploring Ultra-Efficient Private Inference with Winograd-Based Protocol and Quantization Co-Optimization
2024 · Zeng, Wenxuan, Xu, Tianshi, et al. · arXiv (Cornell University)
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ASGEA: Exploiting Logic Rules from Align-Subgraphs for Entity Alignment
2024 · Luo, Yangyifei, Chen, Zhuo, et al. · arXiv (Cornell University)
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Works count: 20
Citation count: 143
H-index: 5
I10-index: 4
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