← Authors

Xinchao Wang

173 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🏠 Conference Loyalist (27) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (39) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (23) 🧬 Topic Evolution πŸ† Keyword Champion (31) πŸ”₯ Unstoppable (10) ⚑ Prolific Year (39) ❓ The Questioner (2) πŸ’Ž Century Club (169) πŸ—ƒοΈ Keyword Collector (545) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

CVPR (53) NIPS (27) ECCV (22) ICCV (22) AAAI (20) ICML (10) IJCAI (8) ICLR (7) ACL (3) INTERSPEECH (1)

Top co-authors

Mingli Song (39) Songhua Liu (27) Xingyi Yang (27) Gongfan Fang (22) Dacheng Tao (21) Jingwen Ye (18) Xinyin Ma (17) Jie Song (17) Runpeng Yu (14) Yiding Yang (13)

Research topics

Architectures (1) Core AI (1)

Keywords

knowledge distillation (31) model compression (25) transfer learning (14) diffusion model (13) neural network (12) graph neural network (11) semantic segmentation (8) image generation (8) object detection (7) few-shot learning (7) generative model (6) vision transformer (6) adversarial learning (6) gaussian splatting (5) image classification (5) synthetic datum (5) diffusion transformer (5) multi-task learning (5) knowledge transfer (5) domain adaptation (5)

Papers

Exploiting Blurry Representations for Event-guided Video Super-Resolution AAAI 2026
Minute-Long Videos with Dual Parallelisms AAAI 2026
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models AAAI 2026
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026
RogSplat: Robust Gaussian Splatting via Generative Priors ICCV 2025
CoT-Valve: Length-Compressible Chain-of-Thought Tuning ACL 2025
Open-World Authorship Attribution ACL 2025
C4D: 4D Made from 3D through Dual Correspondences ICCV 2025
UniversalBooth: Model-Agnostic Personalized Text-to-Image Generation ICCV 2025
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation ICCV 2025
Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens ICCV 2025
Towards Performance Consistency in Multi-Level Model Collaboration ICCV 2025
Heavy Labels Out! Dataset Distillation with Label Space Lightening ICCV 2025
OminiControl: Minimal and Universal Control for Diffusion Transformer ICCV 2025
Hash3D: Training-free Acceleration for 3D Generation CVPR 2025
Ultra-Resolution Adaptation with Ease ICML 2025
MambaOut: Do We Really Need Mamba for Vision? CVPR 2025
Generative Sparse-View Gaussian Splatting CVPR 2025
Efficient Gaussian Splatting for Monocular Dynamic Scene Rendering via Sparse Time-Variant Attribute Modeling AAAI 2025
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks ICLR 2025
Kolmogorov-Arnold Transformer ICLR 2025
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters ICLR 2025
GraphBridge: Towards Arbitrary Transfer Learning in GNNs ICLR 2025
Event-based Video Super-Resolution via State Space Models CVPR 2025
Diffusion Model is Effectively Its Own Teacher CVPR 2025
POSTA: A Go-to Framework for Customized Artistic Poster Generation CVPR 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning CVPR 2025
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient CVPR 2025
Few-shot Implicit Function Generation via Equivariance CVPR 2025
TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025
CoSER: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation CVPR 2025
Control and Realism: Best of Both Worlds in Layout-to-Image without Training ICML 2025
Point Cloud Dataset Distillation ICML 2025
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting ICLR 2025
GFlow: Recovering 4D World from Monocular Video AAAI 2025
ERF: A Benchmark Dataset for Robust Semantic Segmentation Under Extreme Rainfall Conditions AAAI 2025
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025
Vista3D: unravel the 3d darkside of a single image ECCV 2024
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators ECCV 2024
Mutual-Modality Adversarial Attack with Semantic Perturbation AAAI 2024
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters IJCAI 2024
Ungeneralizable Examples CVPR 2024
MindBridge: A Cross-Subject Brain Decoding Framework CVPR 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024
Relation Rectification in Diffusion Model CVPR 2024
DeepCache: Accelerating Diffusion Models for Free CVPR 2024
Distilled Datamodel with Reverse Gradient Matching CVPR 2024
Neural Lineage CVPR 2024
InceptionNeXt: When Inception Meets ConvNeXt CVPR 2024
Unsegment Anything by Simulating Deformation CVPR 2024
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling NIPS 2024
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models NIPS 2024
Implicit Curriculum in Procgen Made Explicit NIPS 2024
SlimSAM: 0.1% Data Makes Segment Anything Slim NIPS 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective NIPS 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NIPS 2024
One-shot Federated Learning via Synthetic Distiller-Distillate Communication NIPS 2024
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising NIPS 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching NIPS 2024
Language Model as Visual Explainer NIPS 2024
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities ICML 2024
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization ICML 2024
Receptive Fields As Experts in Convolutional Neural Architectures ICML 2024
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation ICML 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis INTERSPEECH 2024
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation ECCV 2024
Encapsulating Knowledge in One Prompt ECCV 2024
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions ECCV 2024
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching ECCV 2024
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach ECCV 2024
Neural Metamorphosis ECCV 2024
Attention Prompting on Image for Large Vision-Language Models ECCV 2024
Isomorphic Pruning for Vision Models ECCV 2024
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally ECCV 2024
Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation NIPS 2023
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph NIPS 2023
Structural Pruning for Diffusion Models NIPS 2023
LLM-Pruner: On the Structural Pruning of Large Language Models NIPS 2023
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation NIPS 2023
Generator Born from Classifier NIPS 2023
MGDD: A Meta Generator for Fast Dataset Distillation NIPS 2023
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning CVPR 2023
DepGraph: Towards Any Structural Pruning CVPR 2023
Task Residual for Tuning Vision-Language Models CVPR 2023
Distribution Shift Inversion for Out-of-Distribution Prediction CVPR 2023
Diffusion Probabilistic Model Made Slim CVPR 2023
Slimmable Dataset Condensation CVPR 2023
Deep Graph Reprogramming CVPR 2023
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023
Partial Network Cloning CVPR 2023
Few-Shot Dataset Distillation via Translative Pre-Training ICCV 2023
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection ICCV 2023
Priority-Centric Human Motion Generation in Discrete Latent Space ICCV 2023
Diffusion Model as Representation Learner ICCV 2023
SG-Former: Self-guided Transformer with Evolving Token Reallocation ICCV 2023
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration ICCV 2023
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction ICCV 2023
Relationship Spatialization for Depth Estimation ECCV 2022
Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt IJCAI 2022
Dataset Distillation via Factorization NIPS 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning NIPS 2022
Point2Seq: Detecting 3D Objects As Sequences CVPR 2022
Deep Model Reassembly NIPS 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher ICML 2022
Safe Distillation Box AAAI 2022
Up to 100x Faster Data-Free Knowledge Distillation AAAI 2022
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database ACL 2022
MetaFormer Is Actually What You Need for Vision CVPR 2022
CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022
Learning Graph Neural Networks for Image Style Transfer ECCV 2022
Learning with Recoverable Forgetting ECCV 2022
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation ECCV 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection ECCV 2022
Slimmable Domain Adaptation CVPR 2022
Geometric Structure Preserving Warp for Natural Image Stitching CVPR 2022
Shunted Self-Attention via Multi-Scale Token Aggregation CVPR 2022
PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision CVPR 2022
Training Spiking Neural Networks with Local Tandem Learning NIPS 2022
Inception Transformer NIPS 2022
Factorizing Knowledge in Neural Networks ECCV 2022
Attention Diversification for Domain Generalization ECCV 2022
Online Multiple Object Tracking With Cross-Task Synergy CVPR 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras CVPR 2021
Training Generative Adversarial Networks in One Stage CVPR 2021
Tree-Like Decision Distillation CVPR 2021
Scene Essence CVPR 2021
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking CVPR 2021
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image ICCV 2021
Self-Born Wiring for Neural Trees ICCV 2021
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data NIPS 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks AAAI 2021
Progressive Network Grafting for Few-Shot Knowledge Distillation AAAI 2021
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021
Visual Boundary Knowledge Translation for Foreground Segmentation AAAI 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels AAAI 2021
Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021
Contrastive Model Invertion for Data-Free Knolwedge Distillation IJCAI 2021
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021
One-sample Guided Object Representation Disassembling NIPS 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN CVPR 2020
Factorizable Graph Convolutional Networks NIPS 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020
Hallucinating Visual Instances in Total Absentia ECCV 2020
Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers AAAI 2020
Learning Propagation Rules for Attribution Map Generation ECCV 2020
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning ECCV 2020
Dynamic Instance Normalization for Arbitrary Style Transfer AAAI 2020
Distilling Knowledge From Graph Convolutional Networks CVPR 2020
Learning Oracle Attention for High-Fidelity Face Completion CVPR 2020
Deep Model Transferability from Attribution Maps NIPS 2019
Horizontal Pyramid Matching for Person Re-Identification AAAI 2019
Amalgamating Knowledge towards Comprehensive Classification AAAI 2019
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts ICCV 2019
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation ICCV 2019
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019
SPAGAN: Shortest Path Graph Attention Network IJCAI 2019
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers IJCAI 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019
World From Blur CVPR 2019
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification ECCV 2018
Dual Swap Disentangling NIPS 2018
Geometry-Aware Scene Text Detection With Instance Transformation Network CVPR 2018
On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017
Non-Markovian Globally Consistent Multi-Object Tracking ICCV 2017
What Players Do With the Ball: A Physically Constrained Interaction Modeling CVPR 2016