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Jian Liang
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Publications
- 2024
- [j65]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1376-1387 (2024) - [i79]Kuangpu Guo, Yuhe Ding, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning. CoRR abs/2401.02329 (2024) - [i78]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR abs/2401.06030 (2024) - [i77]Yanbo Wang, Jian Liang, Ran He:
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. CoRR abs/2402.03124 (2024) - [i76]Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. CoRR abs/2402.04050 (2024) - [i75]Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan:
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR abs/2402.04087 (2024) - 2023
- [j59]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks 167: 92-103 (2023) - [j57]Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, Ran He:
Masked Relation Learning for DeepFake Detection. IEEE Trans. Inf. Forensics Secur. 18: 1696-1708 (2023) - [c105]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CVPR 2023: 11620-11630 - [c103]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
Modify: Model-Driven Face Stylization Without Style Images. ICASSP 2023: 1-5 - [c99]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. ICCV 2023: 22601-22611 - [i71]Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He:
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection. CoRR abs/2302.04589 (2023) - [i70]Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He:
MODIFY: Model-driven Face Stylization without Style Images. CoRR abs/2303.09831 (2023) - [i68]Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan:
AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR abs/2303.10594 (2023) - [i67]Puning Yang, Jian Liang, Jie Cao, Ran He:
AUTO: Adaptive Outlier Optimization for Online Test-Time OOD Detection. CoRR abs/2303.12267 (2023) - [i65]Junchi Yu, Jian Liang, Ran He:
Mind the Label Shift of Augmentation-based Graph OOD Generalization. CoRR abs/2303.14859 (2023) - [i64]Jian Liang, Ran He, Tieniu Tan:
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts. CoRR abs/2303.15361 (2023) - [i62]Yongcan Yu, Lijun Sheng, Ran He, Jian Liang:
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR abs/2307.03133 (2023) - [i61]Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan:
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts. CoRR abs/2307.07397 (2023) - [i59]Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He:
TALL: Thumbnail Layout for Deepfake Video Detection. CoRR abs/2307.07494 (2023) - [i57]Jiyang Guan, Jian Liang, Ran He:
Test-Time Adaptation for Backdoor Defense. CoRR abs/2308.06107 (2023) - [i55]Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan:
Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR abs/2308.12919 (2023) - 2022
- [j51]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-Absent Unsupervised Domain Adaptation Through Hypothesis Transfer and Labeling Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8602-8617 (2022) - [c90]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
DINE: Domain Adaptation from Single and Multiple Black-box Predictors. CVPR 2022: 7993-8003 - [c81]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. NeurIPS 2022 - [i49]Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He:
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR abs/2205.14566 (2022) - [i45]Junchi Yu, Jian Liang, Ran He:
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization. CoRR abs/2206.09345 (2022) - [i41]Jiyang Guan, Jian Liang, Ran He:
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks. CoRR abs/2210.15427 (2022) - 2021
- [i38]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i26]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - 2020
- [c63]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [i22]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. CoRR abs/2003.02541 (2020) - [i8]Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng:
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer. CoRR abs/2012.07297 (2020) - 2019
- [j31]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1027-1042 (2019) - [j30]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Exploring uncertainty in pseudo-label guided unsupervised domain adaptation. Pattern Recognit. 96 (2019) - [c55]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. CVPR 2019: 2975-2984 - 2018
- [c53]Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He:
X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. ACCV (5) 2018: 513-529 - [c51]Jianze Wei, Jian Liang, Ran He, Jinfeng Yang:
Learning Discriminative Geodesic Flow Kernel for Unsupervised Domain Adaptation. ICME 2018: 1-6 - 2017
- [j22]Dekui Ma, Jian Liang, Ran He, Xiangwei Kong:
Nonlinear Discrete Cross-Modal Hashing for Visual-Textual Data. IEEE Multim. 24(2): 56-65 (2017) - [c48]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: An Implicit Regularization Perspective. AAAI 2017: 1877-1883 - [i2]Yanbo Fan, Jian Liang, Ran He, Bao-Gang Hu, Siwei Lyu:
Robust Localized Multi-view Subspace Clustering. CoRR abs/1705.07777 (2017) - 2016
- [c42]Jian Liang, Ran He, Zhenan Sun, Tieniu Tan:
Group-Invariant Cross-Modal Subspace Learning. IJCAI 2016: 1739-1745 - [c41]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li:
Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. ISM 2016: 38-43 - [c40]Dekui Ma, Jian Liang, Xiangwei Kong, Ran He:
Frustratingly Easy Cross-Modal Hashing. ACM Multimedia 2016: 237-241 - [c39]Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang:
Self-Paced Cross-Modal Subspace Matching. SIGIR 2016: 569-578 - [i1]Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu:
Self-Paced Learning: an Implicit Regularization Perspective. CoRR abs/1606.00128 (2016) - 2015
- [j15]Shu Zhang, Jian Liang, Ran He, Zhenan Sun:
Code Consistent Hashing Based on Information-Theoretic Criterion. IEEE Trans. Big Data 1(3): 84-94 (2015) - [c38]Jian Liang, Dong Cao, Ran He, Zhenan Sun, Tieniu Tan:
Principal affinity based cross-modal retrieval. ACPR 2015: 126-130 - [c37]Lingxiao Song, Man Zhang, Zhenan Sun, Jian Liang, Ran He:
Two-Step Greedy Subspace Clustering. PCM (1) 2015: 45-54
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