Xuhui Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
17
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning. | Jiangshuai Xu, Peiyun Xue, Jiacheng Song, Xuhui Huang, Qingshan Hou |
| 2025 | AAAI | Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking. | Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma |
| 2025 | EMNLP | AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists. | Yifei Li, Hanane Nour Moussa, Ziru Chen, Shijie Chen, Botao Yu, Mingyi Xue, Benjamin Burns, Tzu-Yao Chiu, Vishal Dey, Zitong Lu, Chen Wei, Qianheng Zhang, Tianyu Zhang, Song Gao, Xuhui Huang, Xia Ning, Nesreen K. Ahmed, Ali Payani, Huan Sun |
| 2025 | ICLR | ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery. | Ziru Chen, Shijie Chen, Yuting Ning, Qianheng Zhang, Boshi Wang, Botao Yu, Yifei Li, Zeyi Liao, Chen Wei, Zitong Lu, Vishal Dey, Mingyi Xue, Frazier N. Baker, Benjamin Burns, Daniel Adu-Ampratwum, Xuhui Huang, Xia Ning, Song Gao, Yu Su, Huan Sun |
| 2024 | AAAI | Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. | Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma |
| 2024 | AAAI | End-to-End Real-Time Vanishing Point Detection with Transformer. | Xin Tong, Shi Peng, Yufei Guo, Xuhui Huang |
| 2024 | AAAI | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation. | Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Membrane Potential Batch Normalization for Spiking Neural Networks. | Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma |
| 2023 | ICCV | 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, Xuhui Huang |
| 2022 | CVPR | 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 |
| 2022 | ECCV | 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 |
| 2022 | ECCV | 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 |
| 2022 | ICASSP | Balanced Ranking and Sorting For Class Incremental Object Detection. | Bo Cui, Hui Qu, Xuhui Huang, Shan Yu |
| 2021 | CGI | An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation. | Yufei Guo, Xuhui Huang, Zhe Ma, Yongqing Hai, Rongli Zhao, Kewu Sun |
| 2021 | CVPR | ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. | Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma |
| 2019 | ICANN | Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation. | Lulu Yang, Long Lan, Xiang Zhang, Xuhui Huang, Zhigang Luo |
| 2018 | ICIP | Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification. | Linfei Ma, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo |
| 2018 | ICIP | Graph-Laplacian Correlated Low-Rank Representation for Subspace Clustering. | Tuo Wang, Huayue Cai, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo |
| 2018 | ICONIP | Cross-Layer Convolutional Siamese Network for Visual Tracking. | Yanyin Chen, Xing Chen, Huibin Tan, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo |
| 2018 | IJCNN | Box-constrained Discriminant Projective Non-negative Matrix Factorization through Augmented Lagrangian Multiplier Method. | Huayue Cai, Xiang Zhang, Zhigang Luo, Xuhui Huang |
| 2018 | IJCNN | Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking. | Xing Chen, Xiang Zhang, Huibin Tan, Long Lan, Zhigang Luo, Xuhui Huang |
| 2018 | IJCNN | Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification. | Linfei Ma, Xiang Zhang, Long Lan, Xuhui Huang, Zhigang Luo |
| 2018 | PRICAI | Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization. | Xiang Zhang, Yongqiang Gao, Long Lan, Xiaowei Guo, Xuhui Huang, Zhigang Luo |
| 2017 | ICANN | Attention Focused Spatial Pyramid Pooling for Boxless Action Recognition in Still Images. | Weijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo |
| 2017 | ICANN | GNMF Revisited: Joint Robust k-NN Graph and Reconstruction-Based Graph Regularization for Image Clustering. | Feng Gu, Wenju Zhang, Xiang Zhang, Chenxu Wang, Xuhui Huang, Zhigang Luo |
| 2017 | ICIP | Unsupervised domain adaptation with joint supervised sparse coding and discriminative regularization term. | Lin Zhu, Xiang Zhang, Wenju Zhang, Xuhui Huang, Naiyang Guan, Zhigang Luo |
| 2017 | ICONIP | Boxless Action Recognition in Still Images via Recurrent Visual Attention. | Weijiang Feng, Xiang Zhang, Xuhui Huang, Zhigang Luo |
| 2016 | IJCNN | Enhancing temporal alignment with autoencoder regularization. | Liquan Nie, Yuanyuan Wang, Xiang Zhang, Xuhui Huang, Zhigang Luo |
| 2016 | SMC | Distributed graph regularized non-negative matrix factorization with greedy coordinate descent. | Ziheng Gao, Naiyang Guan, Xuhui Huang, Xuefeng Peng, Zhigang Luo, Yuhua Tang |
| 2015 | ICASSP | Labelwalking nonnegative matrix factorization. | Long Lan, Naiyang Guan, Xiang Zhang, Xuhui Huang, Zhigang Luo |
| 2015 | ICONIP | Semi-supervised Non-negative Local Coordinate Factorization. | Cherong Zhou, Xiang Zhang, Naiyang Guan, Xuhui Huang, Zhigang Luo |
| 2015 | IJCNN | Correntropy supervised non-negative matrix factorization. | Wenju Zhang, Naiyang Guan, Dacheng Tao, Bin Mao, Xuhui Huang, Zhigang Luo |
| 2015 | MMM | Two-Dimensional Euler PCA for Face Recognition. | Huibin Tan, Xiang Zhang, Naiyang Guan, Dacheng Tao, Xuhui Huang, Zhigang Luo |
| 2015 | MMM | Non-negative Low-Rank and Group-Sparse Matrix Factorization. | Shuyi Wu, Xiang Zhang, Naiyang Guan, Dacheng Tao, Xuhui Huang, Zhigang Luo |
| 2015 | SMC | Constraint-Relaxation Approach for Nonnegative Matrix Factorization: A Case Study. | Jue Wang, Naiyang Guan, Xuhui Huang, Zhigang Luo |
| 2015 | SMC | Symmetric Non-negative Matrix Factorization Based Link Partition Method for Overlapping Community Detection. | Xiang Zhang, Naiyang Guan, Wenju Zhang, Xuhui Huang, Shuyi Wu, Zhigang Luo |
| 2014 | SMC | Translation non-negative matrix factorization with fast optimization. | Yuanyuan Wang, Naiyang Guan, Bin Mao, Xuhui Huang, Zhigang Luo |
| 2012 | ICMLA | Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering. | Naiyang Guan, Xuhui Huang, Long Lan, Zhigang Luo, Xiang Zhang |
| 2012 | ICMLA | Semi-supervised Non-negative Patch Alignment Framework. | Long Lan, Xuhui Huang, Naiyang Guan, Zhigang Luo, Xiang Zhang |
| 2011 | PSB | Session Introduction. | Julie Bernauer, Samuel Flores, Xuhui Huang, Seokmin Shin, Ruhong Zhou |
| 2010 | PSB | Session Introduction. | Samuel Flores, Julie Bernauer, Xuhui Huang, Ruhong Zhou, Seokmin Shin |
| 2010 | PSB | Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. | Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar E. Carlsson, Vijay S. Pande |