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)

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. - Chaofan Chen; Xiaoshan Yang; Changsheng Xu; Xuhui Huang; Zhe Ma 001 (CVPR, 2021)

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)

3D target location based on RFID polarization phase model. - Wei Shi; Zuhao Chen; Kun Zhao 002; Wei Xi; Yuhang Qu; Hui He; Zhenge Guo; Zhe Ma 001; Xuhui Huang; Peng Wang; Bo Dong; Jizhong Zhao (EURASIP J. Wirel. Commun. Netw., 2022)

Clustering by centroid drift and boundary shrinkage. - Hui Qv; Tao Ma 008; Xinyi Tong 001; Xuhui Huang; Zhe Ma 001; Jiehong Feng (Pattern Recognit., 2022)

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 006; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Membrane Potential Batch Normalization for Spiking Neural Networks. - Yufei Guo; Yuhan Zhang 006; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Liwen Zhang 001; Xuhui Huang; Zhe Ma 001 (ICCV, 2023)

Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation. - Mengxue Kang; Jinpeng Zhang; Jinming Zhang; Xiashuang Wang; Yang Chen; Zhe Ma 001; Xuhui Huang (ICCV, 2023)

Spiking PointNet: Spiking Neural Networks for Point Clouds. - Dayong Ren; Zhe Ma 001; Yuanpei Chen; Weihang Peng 001; Xiaode Liu; Yuhan Zhang 006; Yufei Guo (NeurIPS, 2023)

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

Zero-Shot Predicate Prediction for Scene Graph Parsing. - Yiming Li 008; Xiaoshan Yang; Xuhui Huang; Zhe Ma 001; Changsheng Xu (IEEE Trans. Multim., 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 006; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. - Yuhan Zhang 006; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yufei Guo; Xuhui Huang; Zhe Ma 001 (AAAI, 2024)

SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series. - Yi Dong; Liwen Zhang 001; Youcheng Zhang; Shi Peng; Wen Chen; Zhe Ma 001 (IJCAI, 2024)

EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature. - Yufei Guo; Weihang Peng 001; Xiaode Liu; Yuanpei Chen; Yuhan Zhang 006; 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 006; Xiaode Liu; Zhe Ma 001 (NeurIPS, 2024)

TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network. - Youcheng Zhang; Liwen Zhang 001; ZijunHu; Pengcheng Pi; Teng Li; Yuanpei Chen; Shi Peng; Zhe Ma 001 (NeurIPS, 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)

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 006; Zhe Ma 001 (CVPR, 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 006; Yuanpei Chen; Weihang Peng 001; Zhe Ma 001 (Neural Networks, 2025)

Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. - Yufei Guo; Xiaode Liu; Yuanpei Chen; Weihang Peng 001; Yuhan Zhang 006; Zhe Ma 001 (CoRR, 2025)

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. - Yufei Guo; Yuhan Zhang 006; Zhou Jie; Xiaode Liu; Xin Tong; Yuanpei Chen; Weihang Peng 001; Zhe Ma 001 (CoRR, 2025)