Xi Peng
103 papers · 2013–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Machine Learning
(79)
Deep Learning
(60)
Learning Types Β· Machine Learning
(48)
Core Methods
(41)
Artificial Intelligence
(38)
Learning Types Β· Deep Learning
(36)
Computer Vision
(33)
Core AI
(32)
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(11)
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Keywords
contrastive learning
(17)
representation learning
(12)
multimodal learning
(11)
multi-view clustering
(9)
cross-modal retrieval
(8)
image restoration
(7)
noisy correspondence
(6)
generative adversarial network
(5)
self-supervised learning
(5)
domain adaptation
(5)
out-of-distribution generalization
(5)
uncertainty quantification
(4)
mutual information
(4)
uncertainty estimation
(4)
test-time adaptation
(4)
cross-modal learning
(4)
domain generalization
(4)
data augmentation
(4)
semi-supervised learning
(4)
distribution shift
(4)
Papers
AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
ACL 2026
Bootstrapping Multi-view Learning for Test-time Noisy Correspondence
CVPR 2026
Conditional Distribution Learning for Graph Classification
AAAI 2026
Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition
AAAI 2026
Inside-Out: Measuring Generalization in Vision Transformers Through Inner Workings
CVPR 2026
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
AAAI 2026
Next-Scale Prediction: A Self-Supervised Approach for Real-World Image Denoising
CVPR 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
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Modelβs Prediction Rationality
AAAI 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
AAAI 2025
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
AAAI 2025
Deep Fuzzy Multi-view Learning for Reliable Classification
ICML 2025
Deep Unsupervised Hashing via External Guidance
ICML 2025
Detecting Open World Objects via Partial Attribute Assignment
CVPR 2025
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
IJCAI 2025
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
CVPR 2025
Interpretable Failure Detection with Human-Level Concepts
AAAI 2025
Learning Robust Multi-view Representation Using Dual-masked VAEs
IJCAI 2025
Learning with Noisy Triplet Correspondence for Composed Image Retrieval
CVPR 2025
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
ICML 2025
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
CVPR 2025
Probabilistic Multimodal Learning with von Mises-Fisher Distributions
IJCAI 2025
Structure-informed Risk Minimization for Robust Ensemble Learning
ICML 2025
Test-time Adaptation for Cross-modal Retrieval with Query Shift
ICLR 2025
Visual Abstraction: A Plug-and-Play Approach for Text-Visual Retrieval
ICML 2025
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
ICML 2025
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations
NeurIPS 2024
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales
NeurIPS 2024
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
ICML 2024
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
ECCV 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
Ensemble Pruning for Out-of-distribution Generalization
ICML 2024
Image Clustering with External Guidance
ICML 2024
Interactive Deep Clustering via Value Mining
NeurIPS 2024
Multi-granularity Correspondence Learning from Long-term Noisy Videos
ICLR 2024
Noisy-Correspondence Learning for Text-to-Image Person Re-identification
CVPR 2024
Out-Of-Distribution Detection with Diversification (Provably)
NeurIPS 2024
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
AAAI 2024
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
NeurIPS 2024
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
NeurIPS 2024
Test-time Adaptation against Multi-modal Reliability Bias
ICLR 2024
Test-Time Degradation Adaptation for Open-Set Image Restoration
ICML 2024
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
CVPR 2023
Comprehensive and Delicate: An Efficient Transformer for Image Restoration
CVPR 2023
Cross-modal Active Complementary Learning with Self-refining Correspondence
NeurIPS 2023
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
CVPR 2023
Deep Multiview Clustering by Contrasting Cluster Assignments
ICCV 2023
dugMatting: Decomposed-Uncertainty-Guided Matting
ICML 2023
Graph Matching with Bi-level Noisy Correspondence
ICCV 2023
Incomplete Multi-view Clustering via Prototype-based Imputation
IJCAI 2023
Knowledge-Constrained Answer Generation for Open-Ended Video Question Answering
AAAI 2023
Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition
ICCV 2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
ICML 2023
Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective
CVPR 2023
Robust Domain Adaptation for Machine Reading Comprehension
AAAI 2023
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval
CVPR 2023
Topology-aware Robust Optimization for Out-of-Distribution Generalization
ICLR 2023
All-in-One Image Restoration for Unknown Corruption
CVPR 2022
Are Multimodal Transformers Robust to Missing Modality?
CVPR 2022
Improve Interpretability of Neural Networks via Sparse Contrastive Coding
EMNLP 2022
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification
CVPR 2022
Multi-Scale Adaptive Network for Single Image Denoising
NeurIPS 2022
Self-Guidance: Improve Deep Neural Network Generalization via Knowledge Distillation
WACV 2022
Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation
CVPR 2022
XAI Beyond Classification: Interpretable Neural Clustering
JMLR 2022
Adapting Wireless Mesh Network Configuration from Simulation to Reality via Deep Learning based Domain Adaptation
NSDI 2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
ICLR 2021
COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction
CVPR 2021
Contrastive Clustering
AAAI 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
Learning with Noisy Correspondence for Cross-modal Matching
NeurIPS 2021
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization
AAAI 2021
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss
CVPR 2021
SMIL: Multimodal Learning with Severely Missing Modality
AAAI 2021
Uncertainty-Guided Model Generalization to Unseen Domains
CVPR 2021
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
NeurIPS 2020
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge
CVPR 2020
Learning to Learn Single Domain Generalization
CVPR 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
NeurIPS 2020
Partially View-aligned Clustering
NeurIPS 2020
Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition
AAAI 2020
AdaTransform: Adaptive Data Transformation
ICCV 2019
COMIC: Multi-view Clustering Without Parameter Selection
ICML 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
CVPR 2019
Multi-view Spectral Clustering Network
IJCAI 2019
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering
ICCV 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs
NeurIPS 2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
CVPR 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
NeurIPS 2019
Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
AAAI 2019
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
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
CVPR 2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
ECCV 2018
Quantized Densely Connected U-Nets for Efficient Landmark Localization
ECCV 2018
Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition
ICCV 2017
Deep Subspace Clustering with Sparsity Prior
IJCAI 2016
Generalized Transitive Distance with Minimum Spanning Random Forest
IJCAI 2015
PIEFA: Personalized Incremental and Ensemble Face Alignment
ICCV 2015
Scalable Sparse Subspace Clustering
CVPR 2013