Junbiao Pang - RankMe

80 papers A* 4A 3B 7Journal 56Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. AAAI Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang
2026	J	`jnl`	NCSAM Noise-Compensated Sharpness-Aware Minimization for Noisy Label Learning. CoRR Jiayu Xu, Junbiao Pang
2025	J	`jnl`	Adaptively Sampling-Reusing-Mixing Decomposed Gradients to Speed Up Sharpness Aware Minimization. CoRR Jiaxin Deng, Junbiao Pang
2025	A*	`conf`	Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. AAAI Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo
2025	J	`jnl`	Bundle fragments into a whole: Mining more complete clusters via submodular selection of interesting webpages for web topic detection. Expert Syst. Appl. Junbiao Pang, Anjing Hu, Qingming Huang
2025	J	`jnl`	Decorrelating structure via adapters makes ensemble learning practical for Semi-supervised Learning. Eng. Appl. Artif. Intell. Jiaqi Wu, Junbiao Pang, Qingming Huang
2025	J	`jnl`	EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. CoRR Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang
2025	J	`jnl`	Efficiently Training A Flat Neural Network Before It has been Quantizated. CoRR Peng Xia, Junbiao Pang, Tianyang Cai
2025	J	`jnl`	Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis. CoRR Zhicheng Wang, Junbiao Pang
2025	J	`jnl`	Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories. CoRR Muhammad Ayub Sabir, Junbiao Pang, Jiaqi Wu, Fatima Ashraf
2025	J	`jnl`	GLAD-TL: A Time-Sensitive Crowdsourced Model for Robust Detection of Fake Taxis in Urban Traffic Surveillance. IEEE Trans. Comput. Soc. Syst. Fatima Ashraf, Jiale Bian, Junbiao Pang, Xue Yang, Haitao Yu, Muhammad Ayub Sabir
2025	J	`jnl`	Importance-aware Topic Modeling for Discovering Public Transit Risk from Noisy Social Media. CoRR Fatima Ashraf, Muhammad Ayub Sabir, Jiaxin Deng, Junbiao Pang, Haitao Yu
2025	J	`jnl`	Less is More: Non-uniform Road Segments are Efficient for Bus Arrival Prediction. CoRR Zhen Huang, Jiaxin Deng, Jiayu Xu, Junbiao Pang, Haitao Yu
2025	J	`jnl`	MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training. CoRR Junbiao Pang, Tianyang Cai, Baochang Zhang
2025	J	`jnl`	Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Junbiao Pang, Baocheng Xiong, Jiaqi Wu, Qingming Huang
2025	J	`jnl`	Rectify and Align GPS Points to Parking Spots via Rank-1 Constraint. CoRR Jiaxing Deng, Junbiao Pang, Zhicheng Wang, Haitao Yu
2025	J	`jnl`	Stabilizing Quantization-Aware Training by Implicit-Regularization on Hessian Matrix. CoRR Junbiao Pang, Tianyang Cai
2025	J	`jnl`	Towards scalable topic detection on web via simulating Lévy walks nature of topics in similarity space. Inf. Sci. Junbiao Pang, Qingming Huang
2025	J	`jnl`	Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	J	`jnl`	A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification. CoRR Jiaqi Wu, Junbiao Pang, Baochang Zhang, Qingming Huang
2024	J	`jnl`	Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization. CoRR Jiaxin Deng, Junbiao Pang, Baochang Zhang
2024	J	`jnl`	Bilateral Sharpness-Aware Minimization for Flatter Minima. CoRR Jiaxin Deng, Junbiao Pang, Baochang Zhang, Qingming Huang
2024	J	`jnl`	Bundle Fragments into a Whole: Mining More Complete Clusters via Submodular Selection of Interesting webpages for Web Topic Detection. CoRR Junbiao Pang, Anjing Hu, Qingming Huang
2024	J	`jnl`	Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	J	`jnl`	Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization. CoRR Jiaxin Deng, Junbiao Pang, Baochang Zhang, Tian Wang
2024	—	`conf`	Ensemble of Distinct Students for SSL 2D Pose Estimation. CVIPPR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	—	`conf`	Feature-based Perturbation Makes a Better Ensemble Learning for SSL Classification. CVIPPR Jiaqi Wu, Junbiao Pang, Qingming Huang
2024	J	`jnl`	Finding A Taxi with Illegal Driver Substitution Activity via Behavior Modelings. CoRR Junbiao Pang, Muhammad Ayub Sabir, Zhuyun Wang, Anjing Hu, Xue Yang, Haitao Yu, Qingming Huang
2024	J	`jnl`	Finding a Taxi With Illegal Driver Substitution Activity via Behavior Modelings. IEEE Trans. Intell. Transp. Syst. Junbiao Pang, Muhammad Ayub Sabir, Zuyun Wang, Anjing Hu, Xue Yang, Haitao Yu, Qingming Huang
2024	J	`jnl`	Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection. CoRR Junbiao Pang, Baocheng Xiong, Jiaqi Wu
2024	J	`jnl`	Modeling the Popularity of Events on Web by Sparsity and Mutual-Excitation Guided Graph Neural Network. CoRR Jiaxin Deng, Linlin Jia, Junbiao Pang, Qingming Huang
2024	J	`jnl`	Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images. CoRR Junbiao Pang, Zailin Dong, Jiaxin Deng, Mengyuan Zhu, Yunwei Zhang
2024	J	`jnl`	Push Quantization-Aware Training Toward Full Precision Performances via Consistency Regularization. CoRR Junbiao Pang, Tianyang Cai, Baochang Zhang, Jiaqi Wu, Ye Tao
2024	J	`jnl`	Towards Scalable Topic Detection on Web via Simulating Levy Walks Nature of Topics in Similarity Space. CoRR Junbiao Pang, Qingming Huang
2024	J	`jnl`	Unsupervised Abnormal Stop Detection for Long Distance Coaches with Low-Frequency GPS. CoRR Jiaxin Deng, Junbiao Pang, Jiayu Xu, Haitao Yu
2023	J	`jnl`	Generating Unbiased Pseudo-labels via a Theoretically Guaranteed Chebyshev Constraint to Unify Semi-supervised Classification and Regression. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2023	J	`jnl`	Modeling the Uncertainty with Maximum Discrepant Students for Semi-supervised 2D Pose Estimation. CoRR Jiaqi Wu, Junbiao Pang, Qingming Huang
2021	B	`conf`	Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model. ICIP Lijuan Duan, Jun Zeng, Junbiao Pang, Junzhe Wang
2020	—	`conf`	Unsupervised Pixel-level Crack Detection Based on Generative Adversarial Network. ICMSSP Lijuan Duan, Huiling Geng, Junbiao Pang, Jun Zeng
2019	—	`conf`	Accelerating Topic Detection on Web for a Large-Scale Data Set via Stochastic Poisson Deconvolution. MMM (1) Jinzhong Lin, Junbiao Pang, Li Su, Yugui Liu, Qingming Huang
2019	—	`conf`	Fast and Accurately Measuring Crack Width via Cascade Principal Component Analysis. MMAsia Lijuan Duan, Huiling Geng, Jun Zeng, Junbiao Pang, Qingming Huang
2019	J	`jnl`	Increasing Interpretation of Web Topic Detection via Prototype Learning From Sparse Poisson Deconvolution. IEEE Trans. Cybern. Junbiao Pang, Anjing Hu, Qingming Huang, Qi Tian, Baocai Yin
2019	J	`jnl`	Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network. IEEE Trans. Intell. Transp. Syst. Junbiao Pang, Jing Huang, Yong Du, Haitao Yu, Qingming Huang, Baocai Yin
2019	J	`jnl`	Two Birds With One Stone: A Coupled Poisson Deconvolution for Detecting and Describing Topics From Multimodal Web Data. IEEE Trans. Neural Networks Learn. Syst. Junbiao Pang, Fei Tao, Qingming Huang, Qi Tian, Baocai Yin
2018	J	`jnl`	A two-step approach to describing web topics via probable keywords and prototype images from background-removed similarities. Neurocomputing Junbiao Pang, Fei Tao, Liang Li, Qingming Huang, Baocai Yin, Qi Tian
2018	J	`jnl`	Discovering Fine-Grained Spatial Pattern From Taxi Trips: Where Point Process Meets Matrix Decomposition and Factorization. IEEE Trans. Intell. Transp. Syst. Junbiao Pang, Jing Huang, Xue Yang, Zuyun Wang, Haitao Yu, Qingming Huang, Baocai Yin
2017	J	`jnl`	Justify role of Similarity Diffusion Process in cross-media topic ranking: an empirical evaluation. Multim. Tools Appl. Junbiao Pang, Jing Huang, Weigang Zhang, Qingming Huang, Baocai Yin
2017	J	`jnl`	Rotative maximal pattern: A local coloring descriptor for object classification and recognition. Inf. Sci. Junbiao Pang, Jing Huang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin
2016	B	`conf`	Accelerate convolutional neural networks for binary classification via cascading cost-sensitive feature. ICIP Junbiao Pang, Huihuang Lin, Li Su, Chunjie Zhang, Weigang Zhang, Lijuan Duan, Qingming Huang, Baocai Yin
2016	J	`jnl`	Online web video topic detection and tracking with semi-supervised learning. Multim. Syst. Guorong Li, Shuqiang Jiang, Weigang Zhang, Junbiao Pang, Qingming Huang
2016	J	`jnl`	Robust Latent Poisson Deconvolution From Multiple Features for Web Topic Detection. IEEE Trans. Multim. Junbiao Pang, Fei Tao, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin
2016	A	`conf`	Robust latent poisson deconvolution from multiple imperfect features for web topic detection. ICME Fei Tao, Junbiao Pang, Chunjie Zhang, Liang Li, Li Su, Weigang Zhang, Qingming Huang, Guiping Su
2016	B	`conf`	Webpage saliency prediction with multi-features fusion. ICIP Jian Li, Li Su, Bo Wu, Junbiao Pang, Chunfeng Wang, Zhe Wu, Qingming Huang
2015	J	`jnl`	Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks. IEEE Trans. Image Process. Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Qingming Huang, Qi Tian
2015	J	`jnl`	Fusing cross-media for topic detection by dense keyword groups. Neurocomputing Weigang Zhang, Tianlong Chen, Guorong Li, Junbiao Pang, Qingming Huang, Wen Gao
2015	J	`jnl`	Image classification using boosted local features with random orientation and location selection. Inf. Sci. Chunjie Zhang, Jian Cheng, Yifan Zhang, Jing Liu, Chao Liang, Junbiao Pang, Qingming Huang, Qi Tian
2015	J	`jnl`	Local Laplacian Coding From Theoretical Analysis of Local Coding Schemes for Locally Linear Classification. IEEE Trans. Cybern. Junbiao Pang, Lei Qin, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin
2015	J	`jnl`	Online dictionary learning for Local Coordinate Coding with Locality Coding Adaptors. Neurocomputing Junbiao Pang, Chunjie Zhang, Lei Qin, Weigang Zhang, Laiyun Qing, Qingming Huang, Baocai Yin
2015	J	`jnl`	Set-label modeling and deep metric learning on person re-identification. Neurocomputing Hao Liu, Bingpeng Ma, Lei Qin, Junbiao Pang, Chunjie Zhang, Qingming Huang
2015	J	`jnl`	Unsupervised Web Topic Detection Using A Ranked Clustering-Like Pattern Across Similarity Cascades. IEEE Trans. Multim. Junbiao Pang, Fei Jia, Chunjie Zhang, Weigang Zhang, Qingming Huang, Baocai Yin
2014	J	`jnl`	Beyond visual word ambiguity: Weighted local feature encoding with governing region. J. Vis. Commun. Image Represent. Chunjie Zhang, Xian Xiao, Junbiao Pang, Chao Liang, Yifan Zhang, Qingming Huang
2014	J	`jnl`	Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. Comput. Vis. Image Underst. Chunjie Zhang, Jing Liu, Chao Liang, Zhe Xue, Junbiao Pang, Qingming Huang
2014	A	`conf`	Nonlinear learning using LCC for online visual tracking. ICME Hongwei Hu, Bo Ma, Tao Xu, Junbiao Pang
2014	J	`jnl`	Object categorization in sub-semantic space. Neurocomputing Chunjie Zhang, Jian Cheng, Jing Liu, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian
2014	J	`jnl`	Topic detection in cross-media: a semi-supervised co-clustering approach. Int. J. Multim. Inf. Retr. Zhe Xue, Guorong Li, Weigang Zhang, Junbiao Pang, Qingming Huang
2014	J	`jnl`	Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification. Pattern Recognit. Lett. Chunjie Zhang, Chao Liang, Junbiao Pang, Yifan Zhang, Jing Liu, Lei Qin, Qingming Huang
2014	A	`conf`	Web topic detection using a ranked clustering-like pattern across similarity cascades. ICME Fei Jia, Junbiao Pang, Weigang Zhang, Guorong Li, Chunjie Zhang, Qingming Huang, Yugui Liu
2013	—	`conf`	Online Web-Video Topic Detection and Tracking with Semi-supervised Learning. PCM Guorong Li, Weigang Zhang, Junbiao Pang, Qingming Huang, Shuqiang Jiang
2013	B	`conf`	Stochastic boosting for large-scale image classification. ICIP Junbiao Pang, Qingming Huang, Baocai Yin, Lei Qin, Dan Wang
2013	A*	`conf`	Undo the codebook bias by linear transformation for visual applications. ACM Multimedia Chunjie Zhang, Yifan Zhang, Shuhui Wang, Junbiao Pang, Chao Liang, Qingming Huang, Qi Tian
2012	B	`conf`	Color Maximal-Dissimilarity Pattern for pedestrian detection. ICPR Qingyuan Wang, Junbiao Pang, Guoyi Liu, Lei Qin, Qingming Huang, Shuqiang Jiang
2012	—	`conf`	Interactive event detection in crowd scenes. ICIMCS Lei Qin, Zhongwei Cheng, Qingming Huang, Junbiao Pang
2012	J	`jnl`	Online selection of the best k-feature subset for object tracking. J. Vis. Commun. Image Represent. Guorong Li, Qingming Huang, Junbiao Pang, Shuqiang Jiang, Lei Qin
2012	B	`conf`	Theoretical analysis of learning local anchors for classification. ICPR Junbiao Pang, Qingming Huang, Baocai Yin, Lei Qin, Dan Wang
2011	J	`jnl`	Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness. IEEE Trans. Image Process. Junbiao Pang, Qingming Huang, Shuicheng Yan, Shuqiang Jiang, Lei Qin
2011	A*	`conf`	Treat samples differently: Object tracking with semi-supervised online CovBoost. ICCV Guorong Li, Lei Qin, Qingming Huang, Junbiao Pang, Shuqiang Jiang
2009	—	`conf`	Transfer pedestrian detector towards view-adaptiveness and efficiency. ICCV Workshops Junbiao Pang, Qingming Huang, Shuqiang Jiang, Zhipeng Wu
2008	—	`conf`	Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection. ECCV (4) Junbiao Pang, Qingming Huang, Shuqiang Jiang
2008	B	`conf`	Pedestrian detection via logistic multiple instance boosting. ICIP Junbiao Pang, Qingming Huang, Shuqiang Jiang, Wen Gao
2007	—	`conf`	Monocular Tracking 3D People By Gaussian Process Spatio-Temporal Variable Model. ICIP (5) Junbiao Pang, Laiyun Qing, Qingming Huang, Shuqiang Jiang, Wen Gao