Jian Liang

Orcid: 0000-0003-3890-1894

Affiliations:

Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Beijing, China
University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
National University of Singapore, Department of Electrical and Computer Engineering, Singapore (2019-2021)

According to our database¹, Jian Liang authored at least 79 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation.

[BibT_eX]

[DOI]

Yuxi Wang

Jian Liang

Zhaoxiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2024

Understanding and Mitigating Dimensional Collapse in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Recent Advances in OOD Detection: Problems and Approaches.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application.

[BibT_eX]

[DOI]

CoRR, 2024

Which Model to Transfer? A Survey on Transferability Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks.

[BibT_eX]

[DOI]

Yanbo Wang

Jian Liang

Ran He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Backdoor Defense via Test-Time Detecting and Repairing.

[BibT_eX]

[DOI]

Jiyang Guan

Jian Liang

Ran He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

Masked Relation Learning for DeepFake Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Unleashing the power of Neural Collapse for Transferability Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Realistic Unsupervised Fine-tuning with CLIP.

[BibT_eX]

[DOI]

CoRR, 2023

Test-Time Adaptation for Backdoor Defense.

[BibT_eX]

[DOI]

Jiyang Guan

Jian Liang

Ran He

CoRR, 2023

Improving Zero-Shot Generalization for CLIP with Synthesized Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts.

[BibT_eX]

[DOI]

Jian Liang

Ran He

Tieniu Tan

CoRR, 2023

AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection.

[BibT_eX]

[DOI]

CoRR, 2023

AdaptGuard: Defending Against Universal Attacks for Model Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

Exploiting Semantic Attributes for Transductive Zero-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Rumor Detection with Diverse Counterfactual Evidence.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Domain-Specific Risk Minimization for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Free Lunch for Domain Adversarial Training: Environment Label Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TALL: Thumbnail Layout for Deepfake Video Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Informative Data Mining for One-shot Cross-Domain Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Notice of Removal: Exploiting Semantic Attributes for Transductive Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Modify: Model-Driven Face Stylization Without Style Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Mind the Label Shift of Augmentation-based Graph OOD Generalization.

[BibT_eX]

[DOI]

Junchi Yu

Jian Liang

Ran He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning Feature Recovery Transformer for Occluded Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Heterogeneous Face Recognition via Face Synthesis With Identity-Attribute Disentanglement.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Finding Diverse and Predictable Subgraphs for Graph Domain Generalization.

[BibT_eX]

[DOI]

Junchi Yu

Jian Liang

Ran He

CoRR, 2022

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks.

[BibT_eX]

[DOI]

Jiyang Guan

Jian Liang

Ran He

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DINE: Domain Adaptation from Single and Multiple Black-box Predictors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Adversarial Domain Adaptation With Prototype-Based Normalized Output Conditioner.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Deep Semantic Reconstruction Hashing for Similarity Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

META: Mimicking Embedding via oThers' Aggregation for Generalizable Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2021

UMAD: Universal Model Adaptation under Domain and Category Shift.

[BibT_eX]

[DOI]

CoRR, 2021

Give Me Your Trained Model: Domain Adaptive Semantic Segmentation without Source Data.

[BibT_eX]

[DOI]

Yuxi Wang

Jian Liang

Zhaoxiang Zhang

CoRR, 2021

Distill and Fine-tune: Effective Adaptation from a Black-box Source Model.

[BibT_eX]

[DOI]

CoRR, 2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Why Attentions May Not Be Interpretable?

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Domain Adaptation With Auxiliary Target Domain-Oriented Classifier.

[BibT_eX]

[DOI]

Jian Liang

Dapeng Hu

Jiashi Feng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Combating Domain Shift with Self-Taught Labeling.

[BibT_eX]

[DOI]

Jian Liang

Dapeng Hu

Jiashi Feng

CoRR, 2020

Why is Attention Not So Attentive?

[BibT_eX]

[DOI]

CoRR, 2020

PANDA: Prototypical Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

General-Purpose User Embeddings based on Mobile App Usage.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Adversarial Infidelity Learning for Model Interpretation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Jian Liang

Dapeng Hu

Jiashi Feng

Proceedings of the 37th International Conference on Machine Learning, 2020

A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Local Semantic-Aware Deep Hashing With Hamming-Isometric Quantization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Exploring uncertainty in pseudo-label guided unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data.

[BibT_eX]

[DOI]

IEEE Multim., 2017

Robust Localized Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2017, 2017

Self-Paced Learning: An Implicit Regularization Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Self-Paced Cross-Modal Subspace Matching.

[BibT_eX]

[DOI]

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Frustratingly Easy Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Multimedia, 2016

Group-Invariant Cross-Modal Subspace Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Code Consistent Hashing Based on Information-Theoretic Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2015

Two-Step Greedy Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2015, 2015

Principal affinity based cross-modal retrieval.

[BibT_eX]

[DOI]

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

Jian Liang

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