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 001; Maria Cristina Pinotti (MSWiM, 2001)

A new hybrid broadcast scheduling algorithm for asymmetric communication systems. - Yufei Guo; Maria Cristina Pinotti; Sajal K. Das 001 (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2001)

TLKMS: A Dynamic Keys Management Scheme for Large-Scale Wireless Sensor Networks. - Huanzhao Wang; Dongwei Luo; Yufei Guo; Qingping Zhao (ICCSA (2), 2007)

The 3-POCs Structure Based GPU Acceleration in Computational Spectral Imaging. - Xuewen Geng; Yufei Guo; Lin Liu; Yi Niu; Guangming Shi (ISPDC, 2016)

Color demosaicking with the spatial alignment property of spectral Laplacians. - Danhua Liu; Yufei Guo; Dahua Gao; Xueyan Song; Guangming Shi (ICAIT, 2017)

Access Control and Resource Allocation for M2M Communications in Smart Grid. - Yufei Guo; Zhenyu Zhou; Yanhua He (ICC, 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 (ICIRA (1), 2019)

Blockchain and Computational Intelligence Inspired Incentive-Compatible Demand Response in Internet of Electric Vehicles. - Zhenyu Zhou 001; Bingchen Wang; Yufei Guo; Yan Zhang 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Access Control and Resource Allocation for M2M Communications in Industrial Automation. - Zhenyu Zhou 001; Yufei Guo; Yanhua He; Xiongwen Zhao; Wael M. Bazzi (IEEE Trans. Ind. Informatics, 2019)

An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation. - Yufei Guo; Xuhui Huang; Zhe Ma 001; Yongqing Hai; Rongli Zhao; Kewu Sun (CGI, 2021)

Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks. - Yuhang Li 001; Yufei Guo; Shanghang Zhang; Shikuang Deng; Yongqing Hai; Shi Gu (NeurIPS, 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)

An Empirical study of Data-Free Quantization's Tuning Robustness. - Hong Chen 014; Yuxuan Wen; Yifu Ding; Zhen Yang; Yufei Guo; Haotong Qin (CVPR Workshops, 2022)

RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. - Yufei Guo; Xinyi Tong 001; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Zhe Ma 001; Xuhui Huang (CVPR, 2022)

Reducing Information Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; YingLei Wang; Xiaode Liu; Xinyi Tong 001; Yuanyuan Ou; Xuhui Huang; Zhe Ma 001 (ECCV (11), 2022)

Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. - Yufei Guo; Liwen Zhang 001; Yuanpei Chen; Xinyi Tong 001; Xiaode Liu; YingLei Wang; Xuhui Huang; Zhe Ma 001 (ECCV (12), 2022)

IM-Loss: Information Maximization Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; YingLei Wang; Xuhui Huang; Zhe Ma 001 (NeurIPS, 2022)

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 (BIBM, 2023)

Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision. - Qi Ming; Lingjuan Miao; Zhe Ma 001; Lin Zhao; Zhiqiang Zhou; Xuhui Huang; Yuanpei Chen; Yufei Guo (CVPR, 2023)

PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation. - Liwen Zhang 001; Xinyan Zhang; Youcheng Zhang; Yufei Guo; Yuanpei Chen; Xuhui Huang; Zhe Ma 001 (CVPR, 2023)

RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Liwen Zhang 001; Weihang Peng 001; Yuhan Zhang; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Membrane Potential Batch Normalization for Spiking Neural Networks. - Yufei Guo; Yuhan Zhang; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Liwen Zhang 001; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Adaptive Edge-Level Personalization on Hierarchical Federated Learning. - Lihua Song; Jing Li; Honglu Jiang; Shuhua Wei; Yufei Guo (IPCCC, 2023)

Spiking PointNet: Spiking Neural Networks for Point Clouds. - Dayong Ren; Zhe Ma 001; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Yuhan Zhang; Yufei Guo (NeurIPS, 2023)

Direct Learning-Based Deep Spiking Neural Networks: A Review. - Yufei Guo; Xuhui Huang; Zhe Ma 001 (CoRR, 2023)

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN. - Yufei Guo; Yuanpei Chen (CoRR, 2023)

Reducing Information Loss for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Xinyi Tong 001; Yuanyuan Ou; Xuhui Huang; Zhe Ma 001 (CoRR, 2023)

Do Large Language Models Know about Facts? - Xuming Hu; Junzhe Chen 001; Xiaochuan Li 003; Yufei Guo; Lijie Wen 001; Philip S. Yu; Zhijiang Guo (CoRR, 2023)

Joint A-SNN: Joint training of artificial and spiking neural networks via self-Distillation and weight factorization. - Yufei Guo; Weihang Peng 001; Yuanpei Chen; Liwen Zhang 001; Xiaode Liu; Xuhui Huang; Zhe Ma 001 (Pattern Recognit., 2023)

Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Xiaode Liu; Weihang Peng 001; Yuhan Zhang; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

End-to-End Real-Time Vanishing Point Detection with Transformer. - Xin Tong; Shi Peng; Yufei Guo; Xuhui Huang (AAAI, 2024)

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. - Yuhan Zhang; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yufei Guo; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

WFA-vect: a SIMD wavefront algorithm for gap-affine pairwise alignment. - Yifei Guo; Tao Tang 001; Qingzhe Wang; Canqun Yang; Zeyu Xia; Chenchen Peng; Yufei Guo; Yingbo Cui (BIBM, 2024)

Towards Understanding Factual Knowledge of Large Language Models. - Xuming Hu; Junzhe Chen 001; Xiaochuan Li 003; Yufei Guo; Lijie Wen 001; Philip S. Yu; Zhijiang Guo (ICLR, 2024)

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature. - Yufei Guo; Weihang Peng 001; Xiaode Liu; Yuanpei Chen; Yuhan Zhang; Xin Tong; Zhou Jie; Zhe Ma 001 (NeurIPS, 2024)

Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks. - Yufei Guo; Yuanpei Chen; Zecheng Hao; Weihang Peng 001; Zhou Jie; Yuhan Zhang; Xiaode Liu; Zhe Ma 001 (NeurIPS, 2024)

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction. - Zeyu Wang; Zecheng Hao; Jingyu Lin; Yuchao Feng; Yufei Guo (CoRR, 2024)

DiffX: Guide Your Layout to Cross-Modal Generative Modeling. - Zeyu Wang 010; Jingyu Lin; Yifei Qian; Yi Huang; Shicen Tian; Bosong Chai; Juncan Deng; Lan Du 002; Cunjian Chen; Yufei Guo; Kejie Huang (CoRR, 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)

NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN. - Yufei Guo; Yuanpei Chen; Zhe Ma 001 (IEEE Signal Process. Lett., 2024)

Improved Event-Based Image De-Occlusion. - Yufei Guo; Weihang Peng 001; Yuanpei Chen; Jie Zhou; Zhe Ma 001 (IEEE Signal Process. Lett., 2024)

Pair-ID: A Dual Modal Framework for Identity Preserving Image Generation. - Jingyu Lin; Yongrong Wu; Zeyu Wang 010; Xiaode Liu; Yufei Guo (IEEE Signal Process. Lett., 2024)

Event-Based Shutter Unrolling and Motion Deblurring in Dynamic Scenes. - Yangguang Wang; Chenxu Jiang; Xu Jia 012; Yufei Guo; Lei Yu 006 (IEEE Signal Process. Lett., 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 001 (IEEE Trans. Ind. Informatics, 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 002 (IEEE Trans. Instrum. Meas., 2024)

Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking. - Xin Tong; Shi Peng; Baojie Tian; Yufei Guo; Xuhui Huang; Zhe Ma 001 (AAAI, 2025)

Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yuhan Zhang; Zhe Ma 001 (CVPR, 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)

UP-Diff: Latent Diffusion Model for Remote Sensing Urban Prediction. - Zeyu Wang 010; Zecheng Hao; Yuhan Zhang; Yuchao Feng; Yufei Guo (IEEE Geosci. Remote. Sens. Lett., 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 001; Zhe Ma 001 (Neural Networks, 2025)

Toward Realistic Camouflaged Object Detection: Benchmarks and Method. - Zhimeng Xin; Tianxu Wu; Shiming Chen 002; Shuo Ye; Zijing Xie; Yixiong Zou; Xinge You; Yufei Guo (CoRR, 2025)

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yuhan Zhang; Zhe Ma 001 (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

Hierarchical Reverse Games for the Resource Ecosystem in Cloud-Edge Computing. - Manlin Pei; Chenyu Wang; Xia Wang; Zhigao Zheng 001; Jian-Hui Huang; Shengling Wang 001; Yufei Guo (IEEE Trans. Consumer Electron., 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 001; Zhe Ma 001 (CoRR, 2025)

Visual-Semantic Graph Matching Net for Zero-Shot Learning. - Bowen Duan; Shiming Chen 002; Yufei Guo; Guo-Sen Xie; Weiping Ding 001; Yisong Wang (IEEE Trans. Neural Networks Learn. Syst., 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 001 (CoRR, 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, 2025)

Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation. - Yuanhe Zhang; Fangzhou Xie; Zhenhong Zhou; Zherui Li 001; Hao Chen; Kun Wang 056; Yufei Guo (CoRR, 2025)

Fast noisy long read alignment with multi-level parallelism. - Zeyu Xia; Canqun Yang; Chenchen Peng; Yifei Guo; Yufei Guo; Tao Tang 001; Yingbo Cui (BMC Bioinform., 2025)