Nuo Xu

According to our database, Nuo Xu authored at least 17 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing.

Pengju Liu, Nuo Xu, Jinwei Tang, Yu Cao, Caiwen Ding

CoRR, May, 2026

Privacy-Preserving Constrained Evaluation of LLM-Generated HLS C/C++.

Nuo Xu, Jinwei Tang, Zihang Chen, Xiaolin Xu, Wujie Wen, Zhenman Fang, Caiwen Ding

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation.

Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework.

Nuo Xu, Zhaoting Gong, Ran Ran, Jinwei Tang, Wujie Wen, Caiwen Ding

CoRR, November, 2025

GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding.

Bin Lei, Nuo Xu, Ali Payani, Ming-Yi Hong, Chunhua Liao, Yu Cao, Caiwen Ding

CoRR, October, 2025

Attacking the spike: On the security of spiking neural networks to adversarial examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

Neurocomputing, 2025

Position-Enhanced Gradient Attack (PEGA) on Medical Language Models.

Nuo Xu, Christopher Stanley, John Gounley, Heidi A. Hanson, Chang Ge, Caiwen Ding

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs.

Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging.

Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang Katie Zhao, Caiwen Ding

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2023

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference.

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

CoRR, 2023

Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering.

Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.

Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment.

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration.

Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples.

Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen

CoRR, 2022

Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification.

Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran

Proceedings of the IEEE International Conference on Big Data, 2022

NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks.

Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam

Proceedings of the Annual Computer Security Applications Conference, 2022