Kai Wang

135 papers · 2010–2026 · 17 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (23) 🌍 Conference Polyglot (17) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🏃 Academic Marathon (16) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (21) 🤝 Dynamic Duo (26) 👑 Triple Crown 🧬 Topic Evolution 🏆 Grand Slam 👥 Mega-Team (20) 🔬 Deep Specialist (19) 🏆 Keyword Champion (5) 🔥 Unstoppable (10) 📈 Trend Setter ⚡ Prolific Year (27) 💎 Century Club (130) ❓ The Questioner (3) 🗃️ Keyword Collector (55) 🚀 Conference Pioneer

Conferences

AAAI (21) NIPS (21) CVPR (21) ICCV (11) ICLR (10) EMNLP (10) ECCV (9) ICML (6) IJCAI (6) ACL (6) WACV (4) INTERSPEECH (3) MICCAI (2) UAI (2) COLING (1) AISTATS (1) OSDI (1)

Top co-authors

Yang You (27) Joost van de Weijer (13) Milind Tambe (10) Xiaojiang Peng (9) Wangbo Zhao (8) Ming-Ming Cheng (7) Humphrey Shi (7) yaxing wang (6) Andrew Perrault (6) Zhaoxiang Liu (5)

Keywords

diffusion model (15) neural network (8) large language model (8) image generation (8) transfer learning (5) knowledge distillation (5) representation learning (5) dataset distillation (5) graph neural network (5) image synthesis (4) contrastive learning (4) prompt learning (4) reinforcement learning (4) continual learning (4) few-shot learning (4) vision-language model (4) zero-shot learning (4) generative model (4) decision-focused learning (4) multimodal learning (3)

Papers

EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision AAAI 2026

KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026

SDNet: LiDAR Semantic Scene Completion with Sparse-Dense Fusion and Input-Aware Label Refinement AAAI 2026

Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models WACV 2026

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models AAAI 2026

HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment AAAI 2026

The Art of Deception: Color Visual Illusions and Diffusion Models CVPR 2025

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs CVPR 2025

Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025

Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios CVPR 2025

ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images IJCAI 2025

Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier WACV 2025

What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025

DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization IJCAI 2025

Info-Coevolution: An Efficient Framework for Data Model Coevolution ICML 2025

Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025

Unsupervised Learning for Class Distribution Mismatch ICML 2025

$InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration ICLR 2025

MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks ICLR 2025

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt ICLR 2025

Dynamic Diffusion Transformer ICLR 2025

Real-Time Video Generation with Pyramid Attention Broadcast ICLR 2025

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection MICCAI 2025

MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction MICCAI 2025

Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025

CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025

InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models AAAI 2025

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025

FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025

IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025

AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction ICCV 2025

Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing ICCV 2025

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction ICCV 2025

Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025

MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification ACL 2025

Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025

Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models EMNLP 2025

EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025

Self-Improvement in Multimodal Large Language Models: A Survey EMNLP 2025

ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion EMNLP 2025

DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025

Distilling Long-tailed Datasets CVPR 2025

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model NIPS 2024

Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NIPS 2024

Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality NIPS 2024

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NIPS 2024

Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning NIPS 2024

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NIPS 2024

Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis NIPS 2024

First-Order Methods for Linearly Constrained Bilevel Optimization NIPS 2024

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024

Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement ECCV 2024

Exemplar-free Continual Representation Learning via Learnable Drift Compensation ECCV 2024

Dataset Growth ECCV 2024

A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis ECCV 2024

VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024

Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? ICLR 2024

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024

Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ICLR 2024

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024

Synthesizing Long-Form Speech merely from Sentence-Level Corpus with Content Extrapolation and LLM Contextual Enrichment INTERSPEECH 2024

FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude WACV 2024

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024

Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion NIPS 2023

Does Graph Distillation See Like Vision Dataset Counterpart? NIPS 2023

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models ICCV 2023

Dataset Quantization ICCV 2023

DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model ICCV 2023

CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision ICCV 2023

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors ICLR 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023

Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing NIPS 2023

Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023

Smoothed Online Combinatorial Optimization Using Imperfect Predictions AAAI 2023

Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023

Expanding Small-Scale Datasets with Guided Imagination NIPS 2023

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID CVPR 2023

Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style CVPR 2023

Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning CVPR 2023

BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency CVPR 2023

A Transfer and Multi-Task Learning based Approach for MOS Prediction INTERSPEECH 2022

Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022

The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts ECCV 2022

Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022

Less-forgetting Multi-lingual Fine-tuning NIPS 2022

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation NIPS 2022

Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NIPS 2022

DLME: Deep Local-Flatness Manifold Embedding ECCV 2022

Point-to-Box Network for Accurate Object Detection via Single Point Supervision ECCV 2022

An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022

MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning CVPR 2022

Dataset Distillation via Factorization NIPS 2022

Instance-Guided Prompt Learning for Few-Shot Text Matching EMNLP 2022

Crafting Better Contrastive Views for Siamese Representation Learning CVPR 2022

CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022

Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction IJCAI 2021

Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021

Interpretable Visual Reasoning via Induced Symbolic Space ICCV 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning NIPS 2021

End-to-End Speech Separation Using Orthogonal Representation in Complex and Real Time-Frequency Domain INTERSPEECH 2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021

Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings EMNLP 2021

Robust Spatial-Temporal Incident Prediction UAI 2020

Multi-Domain Dialogue Acts and Response Co-Generation ACL 2020

Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020

Relational Graph Attention Network for Aspect-based Sentiment Analysis ACL 2020

Interactive Dual Generative Adversarial Networks for Image Captioning AAAI 2020

On the Generation of Medical Question-Answer Pairs AAAI 2020

PSENet: Psoriasis Severity Evaluation Network AAAI 2020

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NIPS 2020

Suppressing Mislabeled Data via Grouping and Self-Attention ECCV 2020

Semantic Drift Compensation for Class-Incremental Learning CVPR 2020

Suppressing Uncertainties for Large-Scale Facial Expression Recognition CVPR 2020

Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models CVPR 2019

BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ACL 2019

Adversarial Machine Learning with Double Oracle IJCAI 2019

A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures CVPR 2019

The Price of Usability: Designing Operationalizable Strategies for Security Games IJCAI 2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task EMNLP 2018

RStream: Marrying Relational Algebra with Streaming for Efficient Graph Mining on A Single Machine OSDI 2018

Sub-GAN: An Unsupervised Generative Model via Subspaces ECCV 2018

Richer Convolutional Features for Edge Detection CVPR 2017

Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews EMNLP 2011

Exploiting Salient Patterns for Question Detection and Question Retrieval in Community-based Question Answering COLING 2010