Xinchao Wang

Orcid: 0000-0003-0057-1404

According to our database1, Xinchao Wang authored at least 348 papers between 2010 and 2026.

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Timeline

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Bibliography

2026
dMoE: dLLMs with Learnable Block Experts.
CoRR, May, 2026

Q-ARVD: Quantizing Autoregressive Video Diffusion Models.
CoRR, May, 2026

Mix-Quant: Quantized Prefilling, Precise Decoding for Agentic LLMs.
CoRR, May, 2026

ViMU: Benchmarking Video Metaphorical Understanding.
CoRR, May, 2026

On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment.
CoRR, May, 2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling.
CoRR, April, 2026

Vision-Language-Action Safety: Threats, Challenges, Evaluations, and Mechanisms.
CoRR, April, 2026

Hypergraph-State Collaborative Reasoning for Multi-Object Tracking.
CoRR, April, 2026

DMax: Aggressive Parallel Decoding for dLLMs.
CoRR, April, 2026

AutoMIA: Improved Baselines for Membership Inference Attack via Agentic Self-Exploration.
CoRR, April, 2026

Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers.
CoRR, March, 2026

Make Geometry Matter for Spatial Reasoning.
CoRR, March, 2026

Rethinking Token Reduction for Large Vision-Language Models.
CoRR, March, 2026

Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language Models.
CoRR, March, 2026

ViFeEdit: A Video-Free Tuner of Your Video Diffusion Transformer.
CoRR, March, 2026

Invisible Safety Threat: Malicious Finetuning for LLM via Steganography.
CoRR, March, 2026

Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models.
CoRR, February, 2026

NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors.
CoRR, February, 2026

dVoting: Fast Voting for dLLMs.
CoRR, February, 2026

Sponge Tool Attack: Stealthy Denial-of-Efficiency against Tool-Augmented Agentic Reasoning.
CoRR, January, 2026

Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior.
CoRR, January, 2026

Zero-Trust Enabled Anonymous Continuous Cross-Domain Authentication for UAVs: A Blockchain-Based Approach.
IEEE Trans. Netw. Sci. Eng., 2026

Exploiting Blurry Representations for Event-guided Video Super-Resolution.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Minute-Long Videos with Dual Parallelisms.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
SpotEdit: Selective Region Editing in Diffusion Transformers.
CoRR, December, 2025

WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion.
CoRR, December, 2025

CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation.
CoRR, December, 2025

Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey.
Int. J. Comput. Vis., November, 2025

Vision Bridge Transformer at Scale.
CoRR, November, 2025

In-Video Instructions: Visual Signals as Generative Control.
CoRR, November, 2025

MixReasoning: Switching Modes to Think.
CoRR, October, 2025

Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMs.
CoRR, October, 2025

dParallel: Learnable Parallel Decoding for dLLMs.
CoRR, September, 2025

SparseD: Sparse Attention for Diffusion Language Models.
CoRR, September, 2025

Don't Forget the Nonlinearity: Unlocking Activation Functions in Efficient Fine-Tuning.
CoRR, September, 2025

Few-Shot Anomaly Detection via Category-Agnostic Registration Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation.
CoRR, June, 2025

Discrete Diffusion in Large Language and Multimodal Models: A Survey.
CoRR, June, 2025

Diversity-Guided MLP Reduction for Efficient Large Vision Transformers.
CoRR, June, 2025

Image Editing As Programs with Diffusion Models.
CoRR, June, 2025

PixelThink: Towards Efficient Chain-of-Pixel Reasoning.
CoRR, May, 2025

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps.
CoRR, May, 2025

Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding.
CoRR, May, 2025

Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning.
CoRR, May, 2025

Flash Sculptor: Modular 3D Worlds from Objects.
CoRR, April, 2025

OminiControl2: Efficient Conditioning for Diffusion Transformers.
CoRR, March, 2025

PE3R: Perception-Efficient 3D Reconstruction.
CoRR, March, 2025

Multi-Level Collaboration in Model Merging.
CoRR, March, 2025

Understanding Dataset Distillation via Spectral Filtering.
CoRR, March, 2025

Learning Box Regression and Mask Segmentation Under Long-Tailed Distribution with Gradient Transfusing.
Int. J. Comput. Vis., February, 2025

Introducing Visual Perception Token into Multimodal Large Language Model.
CoRR, February, 2025

Rethinking Large-scale Dataset Compression: Shifting Focus From Labels to Images.
CoRR, February, 2025

Seeing World Dynamics in a Nutshell.
CoRR, February, 2025

Efficient Reasoning Models: A Survey.
Trans. Mach. Learn. Res., 2025

Task-to-Instance Prompt Learning for Vision-Language Models at Test Time.
IEEE Trans. Image Process., 2025

1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Test3R: Learning to Reconstruct 3D at Test Time.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Machine Unlearning in 3D Generation: A Perspective-Coherent Acceleration Framework.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

TreeSplat: Mergeable Tree for Deformable Gaussian Splatting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

dKV-Cache: The Cache for Diffusion Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Vid-SME: Membership Inference Attacks against Large Video Understanding Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Thinkless: LLM Learns When to Think.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

VeriThinker: Learning to Verify Makes Reasoning Model Efficient.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Ultra-Resolution Adaptation with Ease.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Control and Realism: Best of Both Worlds in Layout-to-Image without Training.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Point Cloud Dataset Distillation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Kolmogorov-Arnold Transformer.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Poison-splat: Computation Cost Attack on 3D Gaussian Splatting.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GraphBridge: Towards Arbitrary Transfer Learning in GNNs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Heavy Labels Out! Dataset Distillation with Label Space Lightening.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

C4D: 4D Made from 3D Through Dual Correspondences.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

OminiControl: Minimal and Universal Control for Diffusion Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

UniversalBooth: Model-Agnostic Personalized Text-To-Image Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Towards Performance Consistency in Multi-Level Model Collaboration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Rogsplat: Robust Gaussian Splatting Via Generative Priors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Hash3D: Training-free Acceleration for 3D Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Event-based Video Super-Resolution via State Space Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Diffusion Model is Effectively Its Own Teacher.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Generative Sparse-View Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Few-shot Implicit Function Generation via Equivariance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TinyFusion: Diffusion Transformers Learned Shallow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

POSTA: A Go-to Framework for Customized Artistic Poster Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MambaOut: Do We Really Need Mamba for Vision?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Open-World Authorship Attribution.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

CoT-Valve: Length-Compressible Chain-of-Thought Tuning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

GFlow: Recovering 4D World from Monocular Video.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities.
Dataset, December, 2024

A novel multi-view contrastive learning for herb recommendation.
Appl. Intell., November, 2024

Blockchain-Based Certificateless Conditional Anonymous Authentication for IIoT.
IEEE Syst. J., March, 2024

MetaFormer Baselines for Vision.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Dataset Distillation: A Comprehensive Review.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

A systematic review of image-level camouflaged object detection with deep learning.
Neurocomputing, January, 2024

Adversarial Training: A Survey.
CoRR, 2024

LinFusion: 1 GPU, 1 Minute, 16K Image.
CoRR, 2024

Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation.
CoRR, 2024

MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities.
CoRR, 2024

KAN or MLP: A Fairer Comparison.
CoRR, 2024

Encapsulating Knowledge in One Prompt.
CoRR, 2024

Compositional Video Generation as Flow Equalization.
CoRR, 2024

Video-Infinity: Distributed Long Video Generation.
CoRR, 2024

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
CoRR, 2024

DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation.
CoRR, 2024

Hash3D: Training-free Acceleration for 3D Generation.
CoRR, 2024

Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction.
CoRR, 2024

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR, 2024

One-shot Federated Learning via Synthetic Distiller-Distillate Communication.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MVGamba: Unify 3D Content Generation as State Space Sequence Modeling.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Language Model as Visual Explainer.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Implicit Curriculum in Procgen Made Explicit.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SlimSAM: 0.1% Data Makes Segment Anything Slim.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unraveling Motion Uncertainty for Local Motion Deblurring.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Receptive Fields As Experts in Convolutional Neural Architectures.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Anonymous Cross-domain Authentication and Key Agreement Scheme for UAV.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach.
Proceedings of the Computer Vision - ECCV 2024, 2024

Attention Prompting on Image for Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Metamorphosis.
Proceedings of the Computer Vision - ECCV 2024, 2024

Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally.
Proceedings of the Computer Vision - ECCV 2024, 2024

Vista3D: Unravel the 3D Darkside of a Single Image.
Proceedings of the Computer Vision - ECCV 2024, 2024

Encapsulating Knowledge in One Prompt.
Proceedings of the Computer Vision - ECCV 2024, 2024

DreamDrone: Text-to-Image Diffusion Models Are Zero-Shot Perpetual View Generators.
Proceedings of the Computer Vision - ECCV 2024, 2024

Isomorphic Pruning for Vision Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions.
Proceedings of the Computer Vision - ECCV 2024, 2024

InceptionNeXt: When Inception Meets ConvNeXt.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Neural Lineage.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distilled Datamodel with Reverse Gradient Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ungeneralizable Examples.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Relation Rectification in Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MindBridge: A Cross-Subject Brain Decoding Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DeepCache: Accelerating Diffusion Models for Free.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsegment Anything by Simulating Deformation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Mutual-Modality Adversarial Attack with Semantic Perturbation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction.
Comput. Biol. Medicine, December, 2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.
IEEE Trans. Knowl. Data Eng., October, 2023

MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering.
Expert Syst. Appl., September, 2023

Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons.
Pattern Recognit., July, 2023

Salient object detection based on edge-interior feature fusion.
IET Image Process., February, 2023

HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.
Briefings Bioinform., January, 2023

DreamDrone.
CoRR, 2023

0.1% Data Makes Segment Anything Slim.
CoRR, 2023

C-Procgen: Empowering Procgen with Controllable Contexts.
CoRR, 2023

PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation.
CoRR, 2023

Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation.
CoRR, 2023

Can SAM Boost Video Super-Resolution?
CoRR, 2023

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities.
CoRR, 2023

Anything-3D: Towards Single-view Anything Reconstruction in the Wild.
CoRR, 2023

Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.
CoRR, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.
CoRR, 2023

Generator Born from Classifier.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LLM-Pruner: On the Structural Pruning of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MGDD: A Meta Generator for Fast Dataset Distillation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structural Pruning for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reachability-Aware Laplacian Representation in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Diffusion Model as Representation Learner.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SG-Former: Self-guided Transformer with Evolving Token Reallocation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Few-Shot Dataset Distillation via Translative Pre-Training.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Priority-Centric Human Motion Generation in Discrete Latent Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distribution Shift Inversion for Out-of-Distribution Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Partial Network Cloning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Diffusion Probabilistic Model Made Slim.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Slimmable Dataset Condensation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep Graph Reprogramming.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DepGraph: Towards Any Structural Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Task Residual for Tuning Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Image Hallucination From Attribute Pairs.
IEEE Trans. Cybern., 2022

CoEvo-Net: Coevolution Network for Video Highlight Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Federated Selective Aggregation for Knowledge Amalgamation.
CoRR, 2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework.
CoRR, 2022

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction.
CoRR, 2022

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders.
CoRR, 2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels.
CoRR, 2022

Short-term wind power probabilistic forecasting using a new neural computing approach: GMC-DeepNN-PF.
Appl. Soft Comput., 2022

Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

Deep Model Reassembly.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Spiking Neural Networks with Local Tandem Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inception Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dataset Distillation via Factorization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction.
Proceedings of the Learning on Graphs Conference, 2022

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Domain Adaptive Object Detection with Probabilistic Teacher.
Proceedings of the International Conference on Machine Learning, 2022

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?
Proceedings of the Tenth International Conference on Learning Representations, 2022

Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

AvatarGen: A 3D Generative Model for Animatable Human Avatars.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learning with Recoverable Forgetting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Factorizing Knowledge in Neural Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Relationship Spatialization for Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Attention Diversification for Domain Generalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Graph Neural Networks for Image Style Transfer.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MetaFormer is Actually What You Need for Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point2Seq: Detecting 3D Objects as Sequences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

CAFE: Learning to Condense Dataset by Aligning Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Shunted Self-Attention via Multi-Scale Token Aggregation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Slimmable Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Geometric Structure Preserving Warp for Natural Image Stitching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Safe Distillation Box.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Up to 100x Faster Data-Free Knowledge Distillation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets.
IEEE Trans. Image Process., 2021

Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

PONet: Robust 3D Human Pose Estimation via Learning Orientations Only.
CoRR, 2021

Meta Clustering Learning for Large-scale Unsupervised Person Re-identification.
CoRR, 2021

Structure-Aware Feature Generation for Zero-Shot Learning.
CoRR, 2021

Contrastive Model Inversion for Data-Free Knowledge Distillation.
CoRR, 2021

Automating Fairness Configurations for Machine Learning.
Proceedings of the Companion of The Web Conference 2021, 2021

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Contrastive Model Invertion for Data-Free Knolwedge Distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Boundary Knowledge Translation based Reference Semantic Segmentation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-born Wiring for Neural Trees.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Tree-Like Decision Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Training Generative Adversarial Networks in One Stage.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Scene Essence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Amalgamating Knowledge From Heterogeneous Graph Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Online Multiple Object Tracking With Cross-Task Synergy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Progressive Network Grafting for Few-Shot Knowledge Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Overcoming Catastrophic Forgetting in Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Edge-competing Pathological Liver Vessel Segmentation with Limited Labels.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Visual Boundary Knowledge Translation for Foreground Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain Tumor Segmentation.
IEEE Trans. Image Process., 2020

Principal Component Adversarial Example.
IEEE Trans. Image Process., 2020

Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.
IEEE Trans. Image Process., 2020

Semi-online Multi-people Tracking by Re-identification.
Int. J. Comput. Vis., 2020

Impression Space from Deep Template Network.
CoRR, 2020

Disassembling Object Representations without Labels.
CoRR, 2020

Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing.
IEEE Access, 2020

Factorizable Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

One-sample Guided Object Representation Disassembling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dynamic Graph CNN for Event-Camera Based Gesture Recognition.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Learning Propagation Rules for Attribution Map Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hallucinating Visual Instances in Total Absentia.
Proceedings of the Computer Vision - ECCV 2020, 2020

Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Oracle Attention for High-Fidelity Face Completion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Distilling Knowledge From Graph Convolutional Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Faster Self-adaptive Deep Stereo.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Diversified Bayesian Nonnegative Matrix Factorization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Instance Normalization for Arbitrary Style Transfer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Performance Evaluation of Local Features for Image-Based 3D Reconstruction.
IEEE Trans. Image Process., 2019

Data-Free Adversarial Distillation.
CoRR, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts.
CoRR, 2019

Improving 3D Human Pose Estimation Via 3D Part Affinity Fields.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Deep Model Transferability from Attribution Maps.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Novel Framework for 3D-2D Vertebra Matching.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Self-Reproducing Video Frame Interpolation.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SPAGAN: Shortest Path Graph Attention Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

World From Blur.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Amalgamating Knowledge towards Comprehensive Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Horizontal Pyramid Matching for Person Re-Identification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach.
IEEE Trans. Image Process., 2018

Interacting Tracklets for Multi-Object Tracking.
IEEE Trans. Image Process., 2018

A Light Dual-Task Neural Network for Haze Removal.
IEEE Signal Process. Lett., 2018

Wide Activation for Efficient and Accurate Image Super-Resolution.
CoRR, 2018

Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks.
CoRR, 2018

Deep Motion Boundary Detection.
CoRR, 2018

Dual Swap Disentangling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

One-Pass Multi-task Convolutional Neural Networks for Efficient Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Botzone: an online multi-agent competitive platform for AI education.
Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

FishEyeRecNet: A Multi-context Collaborative Deep Network for Fisheye Image Rectification.
Proceedings of the Computer Vision - ECCV 2018, 2018

Geometry-Aware Scene Text Detection With Instance Transformation Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry-Aware Traffic Flow Analysis by Detection and Tracking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences.
IEEE Trans. Medical Imaging, 2017

Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects.
IEEE Trans. Image Process., 2017

Feature Extraction by Rotation-Invariant Matrix Representation for Object Detection in Aerial Image.
IEEE Geosci. Remote. Sens. Lett., 2017

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.
CoRR, 2017

Effective object detection from traffic camera videos.
Proceedings of the 2017 IEEE SmartWorld, 2017

Computed tomography super-resolution using convolutional neural networks.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Non-Markovian Globally Consistent Multi-object Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2017

On Compressing Deep Models by Low Rank and Sparse Decomposition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Balanced Two-Stage Residual Networks for Image Super-Resolution.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Transformed Anti-Sparse Hashing.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Tracking Interacting Objects Using Intertwined Flows.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Parsing human skeletons in an operating room.
Mach. Vis. Appl., 2016

Globally Consistent Multi-People Tracking using Motion Patterns.
CoRR, 2016

What Players do with the Ball: A Physically Constrained Interaction Modeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Do We Need Binary Features for 3D Reconstruction?
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Tracking Interacting Objects in Image Sequences.
PhD thesis, 2015

Detecting and Tracking Cells using Network Flow Programming.
CoRR, 2015

2014
Take your eyes off the ball: Improving ball-tracking by focusing on team play.
Comput. Vis. Image Underst., 2014

Tracking Interacting Objects Optimally Using Integer Programming.
Proceedings of the Computer Vision - ECCV 2014, 2014

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Grassmannian Regularized Structured Multi-View Embedding for Image Classification.
IEEE Trans. Image Process., 2013

2011
Corrections to "Subspaces Indexing Model on Grassmann Manifold for Image Search".
IEEE Trans. Image Process., 2011

Subspaces Indexing Model on Grassmann Manifold for Image Search.
IEEE Trans. Image Process., 2011

Grassmann Hashing for approximate nearest neighbor search in high dimensional space.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

2010
Entropy controlled Laplacian regularization for least square regression.
Signal Process., 2010


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