← Authors

Jian Liang

59 papers · 2016–2025 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (81) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (2) πŸ’Ž Century Club (59) ⚑ Prolific Year (13) ❓ The Questioner (4) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (188)

Conferences

CVPR (13) NIPS (12) ICML (10) ICLR (7) AAAI (5) ECCV (4) ICCV (4) ACL (1) EMNLP (1) IJCAI (1) MICCAI (1)

Top co-authors

Ran He (19) Shuang Li (9) Tieniu Tan (9) Dapeng Hu (9) Jiashi Feng (7) Zilei Wang (7) Lijun Sheng (6) fangrui lv (6) Mang Ye (5) Chi Harold Liu (5)

Research topics

Privacy (1)

Keywords

domain adaptation (6) unsupervised domain adaptation (5) transfer learning (5) adversarial learning (4) federated learning (4) domain generalization (4) representation learning (4) out-of-distribution generalization (3) semantic segmentation (3) knowledge distillation (3) image classification (3) large language model (3) model adaptation (2) catastrophic forgetting (2) target domain (2) test-time adaptation (2) model selection (2) image generation (2) adversarial robustness (2) pseudo labeling (2)

Papers

Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025
Protecting Model Adaptation from Trojans in the Unlabeled Data AAAI 2025
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains ICML 2025
Catch Your Emotion: Sharpening Emotion Perception in Multimodal Large Language Models ICML 2025
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection ICML 2025
LoRA-Pro: Are Low-Rank Adapters Properly Optimized? ICLR 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025
TAT: Task-Adaptive Transformer for All-in-One Medical Image Restoration MICCAI 2025
Splitting with Importance-aware Updating for Heterogeneous Federated Learning with Large Language Models ICML 2025
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025
Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? CVPR 2025
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025
R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning CVPR 2025
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay ECCV 2024
CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation ICLR 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks ICLR 2024
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NIPS 2024
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NIPS 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NIPS 2024
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis AAAI 2024
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models ICML 2024
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization ICML 2024
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation ICML 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation EMNLP 2024
Improving Generalization With Domain Convex Game CVPR 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning ICLR 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing ICLR 2023
Informative Data Mining for One-Shot Cross-Domain Semantic Segmentation ICCV 2023
TALL: Thumbnail Layout for Deepfake Video Detection ICCV 2023
Mind the Label Shift of Augmentation-Based Graph OOD Generalization CVPR 2023
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation NIPS 2023
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors CVPR 2022
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis NIPS 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NIPS 2022
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NIPS 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks NIPS 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning CVPR 2022
Causality Inspired Representation Learning for Domain Generalization CVPR 2022
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification ECCV 2022
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion ECCV 2022
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021
Semantic Concentration for Domain Adaptation ICCV 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data NIPS 2021
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier CVPR 2021
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation AAAI 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning NIPS 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NIPS 2021
Pareto Domain Adaptation NIPS 2021
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation ICML 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation ECCV 2020
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Additive Adversarial Learning for Unbiased Authentication CVPR 2019
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation CVPR 2019
Deep Spatial Feature Reconstruction for Partial Person Re-Identification: Alignment-Free Approach CVPR 2018
Group-Invariant Cross-Modal Subspace Learning IJCAI 2016