← Authors

Xinmei Tian

49 papers · 2015–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (71) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (48) πŸ—ƒοΈ Keyword Collector (158) πŸ“ˆ Trend Setter ⚑ Prolific Year (11)

Conferences

CVPR (13) ICML (9) ICLR (8) ECCV (4) NIPS (4) IJCAI (3) AAAI (2) ACL (2) ICCV (2) EMNLP (1) UAI (1)

Top co-authors

Yonggang Zhang (17) Dacheng Tao (15) Xu Shen (13) Tongliang Liu (11) Jieping Ye (8) Zhen Huang (7) Houqiang Li (7) Bo Han (7) Ya Li (6) Shi Fu (5)

Keywords

representation learning (5) convolutional neural network (5) vision-language model (4) domain generalization (4) model compression (3) contrastive learning (3) transfer learning (3) attention mechanism (3) decentralized learning (3) image classification (2) data heterogeneity (2) few-shot learning (2) prompt learning (2) deep learning (2) federated learning (2) knowledge distillation (2) semi-supervised learning (2) domain adaptation (2) neural network quantization (2) video understanding (2)

Papers

Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs AAAI 2026
Enhancing Target-unspecific Tasks through a Features Matrix ICML 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025
A Similarity Paradigm Through Textual Regularization Without Forgetting AAAI 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025
Interpreting and Improving Large Language Models in Arithmetic Calculation ICML 2024
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024
Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024
Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024
FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024
Convergence of Bayesian Bilevel Optimization ICLR 2024
Out-of-Distribution Detection with Negative Prompts ICLR 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024
Towards Theoretical Understandings of Self-Consuming Generative Models ICML 2024
Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process ICLR 2023
Structured Cooperative Learning with Graphical Model Priors ICML 2023
Moderately Distributional Exploration for Domain Generalization ICML 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning NIPS 2023
Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022
Self-Supervision Can Be a Good Few-Shot Learner ECCV 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks NIPS 2022
Adversarial Robustness Through the Lens of Causality ICLR 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning ICML 2022
Prompt Distribution Learning CVPR 2022
Meta Convolutional Neural Networks for Single Domain Generalization CVPR 2022
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
A Style and Semantic Memory Mechanism for Domain Generalization ICCV 2021
3D Local Convolutional Neural Networks for Gait Recognition ICCV 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Learning to Localize Actions from Moments ECCV 2020
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks ICML 2020
Learning Spatio-Temporal Representation With Local and Global Diffusion CVPR 2019
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network IJCAI 2019
Gaussian Temporal Awareness Networks for Action Localization CVPR 2019
Camera Lens Super-Resolution CVPR 2019
Compact Feature Learning for Multi-Domain Image Classification CVPR 2019
Quantization Networks CVPR 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection CVPR 2019
Deep Domain Generalization via Conditional Invariant Adversarial Networks ECCV 2018
A Twofold Siamese Network for Real-Time Object Tracking CVPR 2018
Deep Boosting for Image Denoising ECCV 2018
Classification and Representation Joint Learning via Deep Networks IJCAI 2017
Multi-Task Model and Feature Joint Learning IJCAI 2015