Yufei Guo

According to our database, Yufei Guo authored at least 60 papers between 2001 and 2025.

Collaborative distances:

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

2025

Fast noisy long read alignment with multi-level parallelism.

Zeyu Xia, Canqun Yang, Chenchen Peng, Yifei Guo, Yufei Guo, Tao Tang, Yingbo Cui

BMC Bioinform., December, 2025

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation.

Yuanhe Zhang, Fangzhou Xie, Zhenhong Zhou, Zherui Li, Hao Chen, Kun Wang, Yufei Guo

CoRR, July, 2025

Synergistic Prompting for Robust Visual Recognition with Missing Modalities.

Zhihui Zhang, Luanyuan Dai, Qika Lin, Yunfeng Diao, Guangyin Jin, Yufei Guo, Jing Zhang, Xiaoshuai Hao

CoRR, July, 2025

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning.

Hui Xie, Yuhe Liu, Shaoqi Yang, Jinyang Guo, Yufei Guo, Yuqing Ma, Jiaxin Chen, Jiaheng Liu, Xianglong Liu

CoRR, July, 2025

Visual-Semantic Graph Matching Net for Zero-Shot Learning.

Bowen Duan, Shiming Chen, Yufei Guo, Guo-Sen Xie, Weiping Ding, Yisong Wang

IEEE Trans. Neural Networks Learn. Syst., June, 2025

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks.

Yufei Guo, Yuhan Zhang, Zhou Jie, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma

CoRR, June, 2025

Hierarchical Reverse Games for the Resource Ecosystem in Cloud-Edge Computing.

Manlin Pei, Chenyu Wang, Xia Wang, Zhigao Zheng, Jian-Hui Huang, Shengling Wang, Yufei Guo

IEEE Trans. Consumer Electron., May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

CoRR, April, 2025

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.

Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma

CoRR, March, 2025

Toward Realistic Camouflaged Object Detection: Benchmarks and Method.

Zhimeng Xin, Tianxu Wu, Shiming Chen, Shuo Ye, Zijing Xie, Yixiong Zou, Xinge You, Yufei Guo

CoRR, January, 2025

PT-BitNet: Scaling up the 1-Bit large language model with post-training quantization.

Yufei Guo, Zecheng Hao, Jiahang Shao, Jie Zhou, Xiaode Liu, Xin Tong, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Zhe Ma

Neural Networks, 2025

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.

Zeyu Wang, Zecheng Hao, Yuhan Zhang, Yuchao Feng, Yufei Guo

IEEE Geosci. Remote. Sens. Lett., 2025

Spatio-temporal analysis of water area variability in Poyang Lake (2012-2021) using remote sensing.

Xiaomei Wang, Yufei Guo

J. Comput. Methods Sci. Eng., 2025

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer.

Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking.

Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A New End-to-End Monitoring Framework for Nonlinear Dynamic Processes With Unknown Noise Statistics.

Xianchao Xiu, Yuhan Zhang, Yufei Guo, Xiaode Liu, Ying Yang

IEEE Trans. Instrum. Meas., 2024

Adaptive Monte Carlo Localization in Unstructured Environment via the Dimension Chain of Semantic Corners.

Yunfei Li, Lin Jiang, Bo Tang, Yufei Guo, Bin Lei, Honghai Liu

IEEE Trans. Ind. Informatics, 2024

Event-Based Shutter Unrolling and Motion Deblurring in Dynamic Scenes.

Yangguang Wang, Chenxu Jiang, Xu Jia, Yufei Guo, Lei Yu

IEEE Signal Process. Lett., 2024

Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation.

Jingyu Lin, Yongrong Wu, Zeyu Wang, Xiaode Liu, Yufei Guo

IEEE Signal Process. Lett., 2024

Improved Event-Based Image De-Occlusion.

Yufei Guo, Weihang Peng, Yuanpei Chen, Jie Zhou, Zhe Ma

IEEE Signal Process. Lett., 2024

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN.

Yufei Guo, Yuanpei Chen, Zhe Ma

IEEE Signal Process. Lett., 2024

Bias in Large Language Models: Origin, Evaluation, and Mitigation.

Yufei Guo, Muzhe Guo, Juntao Su, Zhou Yang, Mengqiu Zhu, Hongfei Li, Mengyang Qiu, Shuo Shuo Liu

CoRR, 2024

DiffX: Guide Your Layout to Cross-Modal Generative Modeling.

Zeyu Wang, Jingyu Lin, Yifei Qian, Yi Huang, Shicen Tian, Bosong Chai, Juncan Deng, Lan Du, Cunjian Chen, Yufei Guo, Kejie Huang

CoRR, 2024

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction.

Zeyu Wang, Zecheng Hao, Jingyu Lin, Yuchao Feng, Yufei Guo

CoRR, 2024

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature.

Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Understanding Factual Knowledge of Large Language Models.

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

WFA-vect: a SIMD wavefront algorithm for gap-affine pairwise alignment.

Yifei Guo, Tao Tang, Qingzhe Wang, Canqun Yang, Zeyu Xia, Chenchen Peng, Yufei Guo, Yingbo Cui

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.

Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

End-to-End Real-Time Vanishing Point Detection with Transformer.

Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization.

Yufei Guo, Weihang Peng, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xuhui Huang, Zhe Ma

Pattern Recognit., October, 2023

Do Large Language Models Know about Facts?

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2023

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

CoRR, 2023

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN.

Yufei Guo, Yuanpei Chen

CoRR, 2023

Direct Learning-Based Deep Spiking Neural Networks: A Review.

Yufei Guo, Xuhui Huang, Zhe Ma

CoRR, 2023

Spiking PointNet: Spiking Neural Networks for Point Clouds.

Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Edge-Level Personalization on Hierarchical Federated Learning.

Lihua Song, Jing Li, Honglu Jiang, Shuhua Wei, Yufei Guo

Proceedings of the IEEE International Performance, 2023

Membrane Potential Batch Normalization for Spiking Neural Networks.

Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks.

Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation.

Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision.

Qi Ming, Lingjuan Miao, Zhe Ma, Lin Zhao, Zhiqiang Zhou, Xuhui Huang, Yuanpei Chen, Yufei Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MTMap: A Long-Read Alignment Tool based on Multi-Core DSPs.

Yufei Guo, Xinjie An, Shijie Li, Yingbo Cui, Peng Zhang, Biao Long, Shanshan Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

IM-Loss: Information Maximization Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks.

Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

Reducing Information Loss for Spiking Neural Networks.

Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks.

Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

An Empirical study of Data-Free Quantization's Tuning Robustness.

Hong Chen, Yuxuan Wen, Yifu Ding, Zhen Yang, Yufei Guo, Haotong Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Design of a Fixed-Wing UAV Controller Based on Adaptive Backstepping Sliding Mode Control Method.

Changchun Bao, Yufei Guo, Leru Luo, Guanqun Su

IEEE Access, 2021

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks.

Yuhang Li, Yufei Guo, Shanghang Zhang, Shikuang Deng, Yongqing Hai, Shi Gu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation.

Yufei Guo, Xuhui Huang, Zhe Ma, Yongqing Hai, Rongli Zhao, Kewu Sun

Proceedings of the Advances in Computer Graphics, 2021

2019

Access Control and Resource Allocation for M2M Communications in Industrial Automation.

Zhenyu Zhou, Yufei Guo, Yanhua He, Xiongwen Zhao, Wael M. Bazzi

IEEE Trans. Ind. Informatics, 2019

Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles.

Zhenyu Zhou, Bingchen Wang, Yufei Guo, Yan Zhang

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Adaptive Whole-Arm Grasping Approach of Tumbling Space Debris by Two Coordinated Hyper-redundant Manipulators.

Wenya Wan, Chong Sun, Jianping Yuan, Xianghao Hou, Yufei Guo, Yinong Ou-yang, Qixin Li, Liran Zhao, Hao Shi, Dawei Han

Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

Access Control and Resource Allocation for M2M Communications in Smart Grid.

Yufei Guo, Zhenyu Zhou, Yanhua He

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017

Color demosaicking with the spatial alignment property of spectral Laplacians.

Danhua Liu, Yufei Guo, Dahua Gao, Xueyan Song, Guangming Shi

Proceedings of the 9th International Conference on Advanced Infocomm Technology, 2017

2016

The 3-POCs Structure Based GPU Acceleration in Computational Spectral Imaging.

Xuewen Geng, Yufei Guo, Lin Liu, Yi Niu, Guangming Shi

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2007

TLKMS: A Dynamic Keys Management Scheme for Large-Scale Wireless Sensor Networks.

Huanzhao Wang, Dongwei Luo, Yufei Guo, Qingping Zhao

Proceedings of the Computational Science and Its Applications, 2007

2001

A new hybrid broadcast scheduling algorithm for asymmetric communication systems.

Yufei Guo, Maria Cristina Pinotti, Sajal K. Das

ACM SIGMOBILE Mob. Comput. Commun. Rev., 2001

A new hybrid broadcast scheduling algorithm for asymmetric communication systems: push and pull data based on optimal cut-off point.

Yufei Guo, Sajal K. Das, Maria Cristina Pinotti

Proceedings of the 4th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2001