← Authors

Xi Peng

99 papers · 2013–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (5) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (26) 🀝 Dynamic Duo (35) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (4) πŸ† Grand Slam ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (361) πŸ“ˆ Trend Setter πŸ’Ž Century Club (94) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) ⚑ Prolific Year (16)

Conferences

CVPR (26) AAAI (18) NIPS (14) ICML (13) IJCAI (9) ICCV (7) ICLR (5) ECCV (3) EMNLP (1) JMLR (1) NSDI (1) WACV (1)

Top co-authors

Peng Hu (36) Dezhong Peng (16) Joey Tianyi Zhou (14) Hongyuan Zhu (13) Jiancheng Lv (12) Mouxing Yang (12) Long Zhao (11) Yuanbiao Gou (9) Yijie Lin (9) Yunfan Li (9)

Keywords

contrastive learning (16) representation learning (12) multimodal learning (9) multi-view clustering (8) cross-modal retrieval (7) image restoration (6) noisy correspondence (5) generative adversarial network (5) mutual information (4) self-supervised learning (4) uncertainty quantification (4) noisy label (4) data augmentation (4) cluster assignment (4) neural network (4) semi-supervised learning (4) attention mechanism (3) differentiable programming (3) vision-language model (3) cross-modal learning (3)

Papers

Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition AAAI 2026
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval AAAI 2026
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval AAAI 2026
Conditional Distribution Learning for Graph Classification AAAI 2026
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization AAAI 2026
Learning with Noisy Triplet Correspondence for Composed Image Retrieval CVPR 2025
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration CVPR 2025
Detecting Open World Objects via Partial Attribute Assignment CVPR 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior IJCAI 2025
Deep Unsupervised Hashing via External Guidance ICML 2025
Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence ICML 2025
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification ICML 2025
Deep Fuzzy Multi-view Learning for Reliable Classification ICML 2025
Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval ICML 2025
Test-time Adaptation for Cross-modal Retrieval with Query Shift ICLR 2025
Learning Robust Multi-view Representation Using Dual-masked VAEs IJCAI 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025
Probabilistic Multimodal Learning with von Mises-Fisher Distributions IJCAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval AAAI 2025
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality AAAI 2025
Interpretable Failure Detection with Human-Level Concepts AAAI 2025
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification CVPR 2025
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence NIPS 2024
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey NIPS 2024
Out-Of-Distribution Detection with Diversification (Provably) NIPS 2024
Interactive Deep Clustering via Value Mining NIPS 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales NIPS 2024
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations NIPS 2024
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks AAAI 2024
Noisy-Correspondence Learning for Text-to-Image Person Re-identification CVPR 2024
DEAL: Disentangle and Localize Concept-level Explanations for VLMs ECCV 2024
Test-time Adaptation against Multi-modal Reliability Bias ICLR 2024
Multi-granularity Correspondence Learning from Long-term Noisy Videos ICLR 2024
Test-Time Degradation Adaptation for Open-Set Image Restoration ICML 2024
Image Clustering with External Guidance ICML 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients ICML 2024
Ensemble Pruning for Out-of-distribution Generalization ICML 2024
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering AAAI 2023
Topology-aware Robust Optimization for Out-of-Distribution Generalization ICLR 2023
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective CVPR 2023
Deep Multiview Clustering by Contrasting Cluster Assignments ICCV 2023
Graph Matching with Bi-level Noisy Correspondence ICCV 2023
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition ICCV 2023
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval CVPR 2023
Comprehensive and Delicate: An Efficient Transformer for Image Restoration CVPR 2023
Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric CVPR 2023
Cross-modal Active Complementary Learning with Self-refining Correspondence NIPS 2023
Incomplete Multi-view Clustering via Prototype-based Imputation IJCAI 2023
Robust Domain Adaptation for Machine Reading Comprehension AAAI 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data ICML 2023
dugMatting: Decomposed-Uncertainty-Guided Matting ICML 2023
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation CVPR 2022
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification CVPR 2022
All-in-One Image Restoration for Unknown Corruption CVPR 2022
Are Multimodal Transformers Robust to Missing Modality? CVPR 2022
XAI Beyond Classification: Interpretable Neural Clustering JMLR 2022
Improve Interpretability of Neural Networks via Sparse Contrastive Coding EMNLP 2022
Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation WACV 2022
Multi-Scale Adaptive Network for Single Image Denoising NIPS 2022
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization AAAI 2021
Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021
Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis ICLR 2021
Contrastive Clustering AAAI 2021
SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021
Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation NSDI 2021
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction CVPR 2021
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss CVPR 2021
Learning with Noisy Correspondence for Cross-modal Matching NIPS 2021
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition AAAI 2020
Partially View-aligned Clustering NIPS 2020
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge CVPR 2020
Learning to Learn Single Domain Generalization CVPR 2020
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration NIPS 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness NIPS 2020
AdaTransform: Adaptive Data Transformation ICCV 2019
COMIC: Multi-view Clustering Without Parameter Selection ICML 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective AAAI 2019
Multi-view Spectral Clustering Network IJCAI 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning NIPS 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression CVPR 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering ICCV 2019
Quantized Densely Connected U-Nets for Efficient Landmark Localization ECCV 2018
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts CVPR 2018
CR-GAN: Learning Complete Representations for Multi-view Generation IJCAI 2018
DehazeGAN: When Image Dehazing Meets Differential Programming IJCAI 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation ECCV 2018
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation CVPR 2018
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition ICCV 2017
Deep Subspace Clustering with Sparsity Prior IJCAI 2016
PIEFA: Personalized Incremental and Ensemble Face Alignment ICCV 2015
Generalized Transitive Distance with Minimum Spanning Random Forest IJCAI 2015
Scalable Sparse Subspace Clustering CVPR 2013