Hongkai Xiong
48 papers · 2016–2026 · 8 venues · across top CS/AI venues
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representation learning
(6)
contrastive learning
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mutual information
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neural architecture search
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self-supervised learning
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federated learning
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vision transformer
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deep reinforcement learning
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autoregressive generation
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human pose estimation
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reinforcement learning
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knowledge distillation
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model compression
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3d vision
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object detection
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image classification
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image generation
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transfer learning
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unsupervised learning
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domain adaptation
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Papers
OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation
CVPR 2026
Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers
CVPR 2026
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
ICML 2025
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation
CVPR 2025
IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner
CVPR 2025
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
ICML 2025
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
ICCV 2025
Noise Conditional Variational Score Distillation
ICML 2025
On Disentangled Training for Nonlinear Transform in Learned Image Compression
ICLR 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
CVPR 2025
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
ICML 2024
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
ICLR 2024
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation
ECCV 2024
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
ICML 2024
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views
ECCV 2024
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models
ECCV 2024
Frequency-Aware Transformer for Learned Image Compression
ICLR 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
ICLR 2024
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation
ECCV 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
ICML 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
NeurIPS 2024
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
NeurIPS 2024
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing
ECCV 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
ECCV 2024
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
AiluRus: A Scalable ViT Framework for Dense Prediction
NeurIPS 2023
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
NeurIPS 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
ICML 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
AAAI 2023
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning
ICLR 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
CVPR 2023
Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation
ICCV 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing
ICCV 2023
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining
ECCV 2022
Bag of Instances Aggregation Boosts Self-supervised Distillation
ICLR 2022
Contrastive Regression for Domain Adaptation on Gaze Estimation
CVPR 2022
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging
CVPR 2022
SdAE: Self-Distillated Masked Autoencoder
ECCV 2022
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing
ECCV 2022
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning
AAAI 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
Monotonic Robust Policy Optimization with Model Discrepancy
ICML 2021
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search
ICLR 2020
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification
CVPR 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
IJCAI 2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
IJCAI 2020
Zigzag Learning for Weakly Supervised Object Detection
CVPR 2018
Picking Deep Filter Responses for Fine-Grained Image Recognition
CVPR 2016