Long Lan

Orcid: 0000-0002-4238-8985

According to our database1, Long Lan authored at least 118 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Out-of-Distribution Generalization With Causal Feature Separation.
IEEE Trans. Knowl. Data Eng., April, 2024

SiamATTRPN: Enhance Visual Tracking With Channel and Spatial Attention.
IEEE Trans. Comput. Soc. Syst., April, 2024

Enhancing accuracy of physically informed neural networks for nonlinear Schrödinger equations through multi-view transfer learning.
Inf. Fusion, February, 2024

Discriminative object tracking by domain contrast.
Comput. Vis. Image Underst., February, 2024

Tackling Noisy Labels with Network Parameter Additive Decomposition.
CoRR, 2024

Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification.
CoRR, 2024

DBTN: An adaptive neural network for multiple-disease detection via imbalanced medical images distribution.
Appl. Intell., 2024

Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Learning to Learn Better Visual Prompts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Scaling Few-Shot Learning for the Open World.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Discriminative Geometric-Structure-Based Deep Hashing for Large-Scale Image Retrieval.
IEEE Trans. Cybern., October, 2023

Class-specific and self-learning local manifold structure for domain adaptation.
Pattern Recognit., October, 2023

SiamDF: Tracking training data-free siamese tracker.
Neural Networks, August, 2023

Online intervention siamese tracking.
Inf. Sci., August, 2023

Self-aware circular response-guided attention for robust siamese tracking.
Appl. Intell., June, 2023

Local-to-Global Deep Clustering on Approximate Uniform Manifold.
IEEE Trans. Knowl. Data Eng., May, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.
Pattern Recognit., May, 2023

Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation.
IET Comput. Vis., February, 2023

Contrastive Transformer Hashing for Compact Video Representation.
IEEE Trans. Image Process., 2023

Learning to Purification for Unsupervised Person Re-Identification.
IEEE Trans. Image Process., 2023

Meta attention for Off-Policy Actor-Critic.
Neural Networks, 2023

EAFP-Med: An Efficient Adaptive Feature Processing Module Based on Prompts for Medical Image Detection.
CoRR, 2023

Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models.
CoRR, 2023

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation.
CoRR, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
CoRR, 2023

MotionTrack: Learning Motion Predictor for Multiple Object Tracking.
CoRR, 2023

Towards Radar Emitter Recognition in Changing Environments with Domain Generalization.
CoRR, 2023


SODA: Robust Training of Test-Time Data Adaptors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
Proceedings of the International Conference on Machine Learning, 2023

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Domain Specified Optimization for Deployment Authorization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhanced Dcf Tracker Regularized by Reliable Sample Construction.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects.
IEEE Trans. Software Eng., 2022

Deep Co-Image-Label Hashing for Multi-Label Image Retrieval.
IEEE Trans. Multim., 2022

Label Propagated Nonnegative Matrix Factorization for Clustering.
IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Pseudo-Supervised Learning for Few-shot Person Re-Identification.
Neural Networks, 2022

Online Multiple-Pedestrian Tracking With Detection-Pair-Based Graph Convolutional Networks.
IEEE Internet Things J., 2022

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR, 2022

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks.
CoRR, 2022

Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification.
CoRR, 2022

On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.
CoRR, 2022

APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Joint Modality Synergy and Spatio-temporal Cue Purification for Moment Localization.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FAFMOTS: A Fast and Anchor Free Method for Online Joint Multi-Object Tracking and Segmentation.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

Frustratingly Easy Knowledge Distillation via Attentive Similarity Matching.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Reinforcing Feedback Domain Adaptation Channel.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Logit Distillation via Student Diversity.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Counterfactual Causal Adversarial Networks for Domain Adaptation.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Toward to Real Low-Resolution Person Re-identification: A New Dataset and Baseline.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Object-oriented Domain Adaptation for Cell Detection on Pathology Image.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

Privacy-Preserving Action Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking.
IEEE Trans. Image Process., 2021

Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol., 2021

Unsupervised Discriminative Deep Hashing With Locality and Globality Preservation.
IEEE Signal Process. Lett., 2021

Learning deep discriminative embeddings via joint rescaled features and log-probability centers.
Pattern Recognit., 2021

A robust quadruple adaptation network in few-shot scenarios.
Knowl. Based Syst., 2021

A generic MOT boosting framework by combining cues from SOT, tracklet and re-identification.
Knowl. Inf. Syst., 2021

Semantic-consistent cross-modal hashing for large-scale image retrieval.
Neurocomputing, 2021

Enhancing the association in multi-object tracking via neighbor graph.
Int. J. Intell. Syst., 2021

Attention-Based Fault-Tolerant Approach for Multi-Agent Reinforcement Learning Systems.
Entropy, 2021

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.
CoRR, 2021

ANF: Attention-Based Noise Filtering Strategy for Unsupervised Few-Shot Classification.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Model Compression for a Plasticity Neural Network in a Maze Exploration Scenario.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Meta Actor-Critic Framework for Multi-Agent Reinforcement Learning.
Proceedings of the AIPR 2021: 4th International Conference on Artificial Intelligence and Pattern Recognition, Xiamen, China, September 24, 2021

2020
Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation.
Neural Process. Lett., 2020

GateCap: Gated spatial and semantic attention model for image captioning.
Multim. Tools Appl., 2020

Object-aware semantics of attention for image captioning.
Multim. Tools Appl., 2020

Enhancing unsupervised domain adaptation by discriminative relevance regularization.
Knowl. Inf. Syst., 2020

Learning sequence-to-sequence affinity metric for near-online multi-object tracking.
Knowl. Inf. Syst., 2020

Semi-online Multi-people Tracking by Re-identification.
Int. J. Comput. Vis., 2020

Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy.
CoRR, 2020

Enhancing the Association in Multi-Object Tracking via Neighbor Graph.
CoRR, 2020

Enhancing Stock Price Trend Prediction via a Time-Sensitive Data Augmentation Method.
Complex., 2020

Correlation Self-Expression Shrunk for Subspace Clustering.
IEEE Access, 2020

Transductive Nonnegative Matrix Tri-Factorization.
IEEE Access, 2020

Robust Similarity-Based Concept Factorization for Data Representation.
IEEE Access, 2020

Pairwise Similarity Regularization for Adversarial Domain Adaptation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Towards Making Unsupervised Graph Hashing Robust.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Robust Normalized Squares Maximization for Unsupervised Domain Adaptation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Nonnegative Constrained Graph Based Canonical Correlation Analysis for Multi-view Feature Learning.
Neural Process. Lett., 2019

Stacked Marginal Time Warping for Temporal Alignment.
Neural Process. Lett., 2019

Label guided correlation hashing for large-scale cross-modal retrieval.
Multim. Tools Appl., 2019

Person re-identification via adaptive verification loss.
Neurocomputing, 2019

Deep Entity Linking via Eliminating Semantic Ambiguity With BERT.
IEEE Access, 2019

Cascade Semantic Fusion for Image Captioning.
IEEE Access, 2019

Neighbors-Based Graph Construction for Dimensionality Reduction.
IEEE Access, 2019

Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint.
IEEE Access, 2019

Person Entity Attribute Extraction Based on Siamese Network.
IEEE Access, 2019

The Improvement of Traditional Indoor Localization Model Using Magnetic Field Based on Smartphone.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018
Interacting Tracklets for Multi-Object Tracking.
IEEE Trans. Image Process., 2018

Low-Rank Matrix Recovery via Continuation-Based Approximate Low-Rank Minimization.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Ranking-Embedded Transfer Canonical Correlation Analysis for Person Re-Identification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-granularity Hierarchical Attention Siamese Network for Visual Tracking.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Flexible ranking extreme learning machine based on matrix-centering transformation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Background Subtraction via 3D Convolutional Neural Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Cross-Layer Convolutional Siamese Network for Visual Tracking.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Discrete Graph Hashing via Affine Transformation.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Graph-Laplacian Correlated Low-Rank Representation for Subspace Clustering.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Margin-Embedding Canonical Correlation Analysis with Feature Selection for Person Re-Identification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

AttResNet: Attention-based ResNet for Image Captioning.
Proceedings of the 2018 International Conference on Algorithms, 2018

2016
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Labelwalking nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Box-constrained projective nonnegative matrix factorization via augmented Lagrangian method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Soft-constrained nonnegative matrix factorization via normalization.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Transductive nonnegative matrix factorization for semi-supervised high-performance speech separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Activity Recognition in Still Images with Transductive Non-negative Matrix Factorization.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2012
Semi-supervised Non-negative Patch Alignment Framework.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Sparse Representation Based Discriminative Canonical Correlation Analysis for Face Recognition.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Graph Based Semi-supervised Non-negative Matrix Factorization for Document Clustering.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Discriminative Locality Preserving Canonical Correlation Analysis.
Proceedings of the Pattern Recognition - Chinese Conference, 2012


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