Nuo Xu - RankMe

21 papers A* 4A 3B 1Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attacking the spike: On the security of spiking neural networks to adversarial examples. Neurocomputing Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen
2025	J	`jnl`	Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. CoRR Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao
2025	A	`conf`	DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. ICS Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang
2025	J	`jnl`	DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. CoRR Yuebo Luo, Shiyang Li, Junran Tao, Kiran Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang
2025	J	`jnl`	FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework. CoRR Nuo Xu, Zhaoting Gong, Ran Ran, Jinwei Tang, Wujie Wen, Caiwen Ding
2025	J	`jnl`	GUI-Spotlight: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding. CoRR Bin Lei, Nuo Xu, Ali Payani, Ming-Yi Hong, Chunhua Liao, Yu Cao, Caiwen Ding
2025	A	`conf`	MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging. ICCAD Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang Katie Zhao, Caiwen Ding
2025	J	`jnl`	MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging. CoRR Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang Zhao, Caiwen Ding
2025	—	`conf`	Position-Enhanced Gradient Attack (PEGA) on Medical Language Models. MMAsia Nuo Xu, Christopher Stanley, John Gounley, Heidi A. Hanson, Chang Ge, Caiwen Ding
2023	A*	`conf`	AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
2023	A*	`conf`	Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
2023	A*	`conf`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	J	`jnl`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	J	`jnl`	RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR 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
2023	A*	`conf`	Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. SP Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding
2023	J	`jnl`	Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering. CoRR Ce Feng, Nuo Xu, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding
2022	B	`conf`	Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. IEEE Big Data Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran
2022	A	`conf`	NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. ACSAC Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2022	J	`jnl`	NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks. CoRR Nuo Xu, Binghui Wang, Ran Ran, Wujie Wen, Parv Venkitasubramaniam
2022	J	`jnl`	Securing the Spike: On the Transferabilty and Security of Spiking Neural Networks to Adversarial Examples. CoRR Nuo Xu, Kaleel Mahmood, Haowen Fang, Ethan Rathbun, Caiwen Ding, Wujie Wen