Skip to content
conftrace_

Kai Wang

149 papers · 2010–2026 · 18 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.

Jump to papers ↓
+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (187) πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Full 🐣 Hot Topic Early Bird
🏠 Conference Loyalist (28) πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (27) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ† Keyword Champion 🧬 Topic Evolution πŸ”¬ Deep Specialist (23) ⚑ Prolific Year Β· Absurd πŸ”₯ Unstoppable Β· Silver ❓ The Questioner (4) πŸ’Ž Century Club Β· Gold πŸš€ Conference Pioneer 🌈 Renaissance Researcher (13) πŸ—ƒοΈ Keyword Collector (633)

Papers

Adaptive Action Chunking at Inference-time for Vision-Language-Action Models CVPR 2026 Agent-based Substructure Counting under Local Differential Privacy ACL 2026 Beyond Geometry: Artistic Disparity Synthesis for Immersive 2D-to-3D CVPR 2026 CCC: Re-architecting Delay-based Congestion Control in Datacenter Networks NSDI 2026 EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision AAAI 2026 Empowering Tabular Data Preparation with Language Models: Why and How? ACL 2026 Fractal Camouflage: A Bio-Inspired Approach for Multi-Scale Adversarial Attacks in the Infrared Domain CVPR 2026 GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation CVPR 2026 Hear What You See: Video-to-Audio Generation with Diffusion Transformer and Semantic-Temporal Alignment-Ranked Direct Preference Optimization CVPR 2026 HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment AAAI 2026 HumanNOVA: Photorealistic, Universal and Rapid 3D Human Avatar Modeling from a Single Image CVPR 2026 KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare 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 Mixture of Heterogeneous Grouped Experts for Language Modeling ACL 2026 OmniSonic: Towards Universal and Holistic Audio Generation from Video and Text CVPR 2026 SDNet: LiDAR Semantic Scene Completion with Sparse-Dense Fusion and Input-Aware Label Refinement AAAI 2026 TeCES: Collaborative Geometric Knowledge Representation Framework under Evolving Fact Snapshots ACL 2026 $InterLCM$: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration ICLR 2025 A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025 Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing ICCV 2025 AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction ICCV 2025 A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs CVPR 2025 CALLIC: Content Adaptive Learning for Lossless Image Compression AAAI 2025 DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models EMNLP 2025 DcDsDiff: Dual-Conditional and Dual-Stream Diffusion Model for Generative Image Tampering Localization IJCAI 2025 Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASR Interspeech 2025 Distilling Long-tailed Datasets CVPR 2025 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025 Dynamic Diffusion Transformer ICLR 2025 EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025 Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 ElaD-Net: An Elastic Semantic Decoupling Network for Lesion Segmentation in Breast Ultrasound Images IJCAI 2025 Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios CVPR 2025 FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025 Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025 Info-Coevolution: An Efficient Framework for Data Model Coevolution ICML 2025 InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models AAAI 2025 MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction MICCAI 2025 MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks ICLR 2025 MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification ACL 2025 Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier WACV 2025 One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt ICLR 2025 One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion EMNLP 2025 Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models EMNLP 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Real-Time Video Generation with Pyramid Attention Broadcast ICLR 2025 Self-Improvement in Multimodal Large Language Models: A Survey EMNLP 2025 Single-View Graph Contrastive Learning with Soft Neighborhood Awareness AAAI 2025 TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction ICCV 2025 The Art of Deception: Color Visual Illusions and Diffusion Models CVPR 2025 Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025 Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection MICCAI 2025 Unsupervised Learning for Class Distribution Mismatch ICML 2025 VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency SchrΓΆdinger Bridge Interspeech 2025 What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025 Aligning Large Language Models with Representation Editing: A Control Perspective NeurIPS 2024 A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis ECCV 2024 Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? ICLR 2024 Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model NeurIPS 2024 ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement ECCV 2024 Dataset Growth ECCV 2024 DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024 Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation NeurIPS 2024 Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning NeurIPS 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Exemplar-free Continual Representation Learning via Learnable Drift Compensation ECCV 2024 FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude WACV 2024 First-Order Methods for Linearly Constrained Bilevel Optimization NeurIPS 2024 GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning NeurIPS 2024 InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning ICLR 2024 LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NeurIPS 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024 Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024 Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality NeurIPS 2024 Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024 Synthesizing Long-Form Speech merely from Sentence-Level Corpus with Content Extrapolation and LLM Contextual Enrichment Interspeech 2024 Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis NeurIPS 2024 Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching ICLR 2024 Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024 VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024 BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency CVPR 2023 CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision ICCV 2023 Dataset Quantization ICCV 2023 Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors ICLR 2023 Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 DREAM: Efficient Dataset Distillation by Representative Matching ICCV 2023 Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing NeurIPS 2023 Expanding Small-Scale Datasets with Guided Imagination NeurIPS 2023 MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID CVPR 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023 Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models ICCV 2023 PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health AAAI 2023 Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion NeurIPS 2023 Smoothed Online Combinatorial Optimization Using Imperfect Predictions AAAI 2023 Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style CVPR 2023 Versatile Diffusion: Text, Images and Variations All in One Diffusion Model ICCV 2023 Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning CVPR 2023 An Efficient Training Approach for Very Large Scale Face Recognition CVPR 2022 A Transfer and Multi-Task Learning based Approach for MOS Prediction Interspeech 2022 Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation NeurIPS 2022 CAFE: Learning To Condense Dataset by Aligning Features CVPR 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022 Crafting Better Contrastive Views for Siamese Representation Learning CVPR 2022 Dataset Distillation via Factorization NeurIPS 2022 Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses NeurIPS 2022 DLME: Deep Local-Flatness Manifold Embedding ECCV 2022 Instance-Guided Prompt Learning for Few-Shot Text Matching EMNLP 2022 Less-forgetting Multi-lingual Fine-tuning NeurIPS 2022 Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation CVPR 2022 MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning CVPR 2022 Point-to-Box Network for Accurate Object Detection via Single Point Supervision ECCV 2022 The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts ECCV 2022 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 End-to-End Speech Separation Using Orthogonal Representation in Complex and Real Time-Frequency Domain Interspeech 2021 Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings EMNLP 2021 Interpretable Visual Reasoning via Induced Symbolic Space ICCV 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning NeurIPS 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NeurIPS 2021 Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction IJCAI 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation AAAI 2021 Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NeurIPS 2020 Interactive Dual Generative Adversarial Networks for Image Captioning AAAI 2020 Low-Resource Generation of Multi-hop Reasoning Questions ACL 2020 Multi-Domain Dialogue Acts and Response Co-Generation ACL 2020 On the Generation of Medical Question-Answer Pairs AAAI 2020 PSENet: Psoriasis Severity Evaluation Network AAAI 2020 Relational Graph Attention Network for Aspect-based Sentiment Analysis ACL 2020 Robust Spatial-Temporal Incident Prediction UAI 2020 Semantic Drift Compensation for Class-Incremental Learning CVPR 2020 Suppressing Mislabeled Data via Grouping and Self-Attention ECCV 2020 Suppressing Uncertainties for Large-Scale Facial Expression Recognition CVPR 2020 Adversarial Machine Learning with Double Oracle IJCAI 2019 A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures CVPR 2019 BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization ACL 2019 Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models CVPR 2019 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 The Price of Usability: Designing Operationalizable Strategies for Security Games IJCAI 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