Dengyu Wu - RankMe

11 papers A* 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RU4D-SLAM: Reweighting Uncertainty in Gaussian Splatting SLAM for 4D Scene Reconstruction. CoRR Yangfan Zhao, Hanwei Zhang, Ke Huang, Qiufeng Wang, Zhenzhou Shao, Dengyu Wu
2025	J	`jnl`	High-cycle fatigue life prediction for fan blades considering aleatory and epistemic uncertainty with random damage. Reliab. Eng. Syst. Saf. Xiaodong Zhang, Dengyu Wu, Zhenhong Deng, Siqi Wang, Wujun Feng, Huageng Luo, Baoqiang Zhang
2025	J	`jnl`	Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons. CoRR Dengyu Wu, Jiechen Chen, H. Vincent Poor, Bipin Rajendran, Osvaldo Simeone
2024	J	`jnl`	A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2024	J	`jnl`	Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. CoRR Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang
2024	J	`jnl`	Neuromorphic Wireless Split Computing with Multi-Level Spikes. CoRR Dengyu Wu, Jiechen Chen, Bipin Rajendran, H. Vincent Poor, Osvaldo Simeone
2023	J	`jnl`	A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2023	J	`jnl`	Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang
2023	A*	`conf`	Randomized Adversarial Training via Taylor Expansion. CVPR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2023	J	`jnl`	Randomized Adversarial Training via Taylor Expansion. CoRR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2021	J	`jnl`	A Little Energy Goes a Long Way: Energy-Efficient, Accurate Conversion from Convolutional Neural Networks to Spiking Neural Networks. CoRR Dengyu Wu, Xinping Yi, Xiaowei Huang