Kai Zhang

RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows MIDL 2026 LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models ACL 2026 Localized Low-Rank Adaptation within Clustered Parameter Subspaces ACL 2026 From Darkness to Detail: Frequency-Aware SSMs for Low-Light Vision WACV 2026 FantasyHSI: Video-Generation-Centric 4D Human Synthesis in Any Scene Through a Graph-Based Multi-Agent Framework AAAI 2026 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation MIDL 2026 Markovian Linguistic-Temporal Bridge: Unlocking the Potential of LLMs for Time Series Forecasting ACL 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 RandAR: Decoder-only Autoregressive Visual Generation in Random Orders CVPR 2025 Generating 3D-Consistent Videos from Unposed Internet Photos CVPR 2025 Turbo3D: Ultra-fast Text-to-3D Generation CVPR 2025 MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data CVPR 2025 Brain-Heart-Gut Guided Multi-Constraint Knowledge Distillation for Early Alzheimer’s Disease Diagnosis MICCAI 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation IJCNLP 2025 Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 2025 WDMIR: Wavelet-Driven Multimodal Intent Recognition IJCAI 2025 Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors CVPR 2025 CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology CVPR 2025 Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions AAAI 2025 Spin: Diffusion-based Semantic Image Painting Through Independent Information Injection AAAI 2025 Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025 Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation AAAI 2025 Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition AAAI 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation AACL 2025 AAAR-1.0: Assessing AI’s Potential to Assist Research ICML 2025 Gaussian Mixture Flow Matching Models ICML 2025 LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias ICLR 2025 RelitLRM: Generative Relightable Radiance for Large Reconstruction Models ICLR 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Stepwise Reasoning Disruption Attack of LLMs ACL 2025 RolePlot: A Systematic Framework for Evaluating and Enhancing the Plot-Progression Capabilities of Role-Playing Agents ACL 2025 MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ACL 2025 MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality ACL 2025 Unified Parameter-Efficient Unlearning for LLMs ICLR 2025 Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) AISTATS 2025 PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration ICLR 2025 Revealing the Barriers of Language Agents in Planning NAACL 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025 Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment ICLR 2025 Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats ICCV 2025 STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution ICCV 2025 Reverse Convolution and Its Applications to Image Restoration ICCV 2025 RayZer: A Self-supervised Large View Synthesis Model ICCV 2025 Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction ICCV 2025 1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025 ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning EMNLP 2025 Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression EMNLP 2025 ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression CVPR 2025 DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution CVPR 2025 DATENeRF: Depth-Aware Text-based Editing of NeRFs ECCV 2024 LRM-Zero: Training Large Reconstruction Models with Synthesized Data NIPS 2024 MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging NIPS 2024 DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking NIPS 2024 Neural Gaffer: Relighting Any Object via Diffusion NIPS 2024 PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology AAAI 2024 DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images AAAI 2024 UMIE: Unified Multimodal Information Extraction with Instruction Tuning AAAI 2024 π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024 SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training ACL 2024 Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization ACL 2024 CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models ACL 2024 RePair: Automated Program Repair with Process-based Feedback ACL 2024 Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance COLING 2024 Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising CVPR 2024 Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling CVPR 2024 DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model CVPR 2024 MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024 GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation CVPR 2024 Deep Equilibrium Diffusion Restoration with Parallel Sampling CVPR 2024 Equivariant Multi-Modality Image Fusion CVPR 2024 Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint ECCV 2024 GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting ECCV 2024 MegaScenes: Scene-Level View Synthesis at Scale ECCV 2024 MoVideo: Motion-Aware Video Generation with Diffusion Models ECCV 2024 PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology ECCV 2024 Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification EMNLP 2024 ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024 Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis EMNLP 2024 Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024 OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024 MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following ICLR 2024 ImagenHub: Standardizing the evaluation of conditional image generation models ICLR 2024 Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts ICLR 2024 Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model ICLR 2024 DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model ICLR 2024 PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction ICLR 2024 LRM: Large Reconstruction Model for Single Image to 3D ICLR 2024 High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion ICML 2024 TravelPlanner: A Benchmark for Real-World Planning with Language Agents ICML 2024 Federated Self-Explaining GNNs with Anti-shortcut Augmentations ICML 2024 MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions ICML 2024 Lightweight Image Super-Resolution via Flexible Meta Pruning ICML 2024 Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering IJCAI 2024 Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 An Evaluation of State-of-the-Art Projectors in the Presence of Noise and Nonlinearity in the Beer-Lambert Law MICCAI 2024 LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination NAACL 2024 Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models NAACL 2024 Dual-Channel Span for Aspect Sentiment Triplet Extraction EMNLP 2023 Content- and Topology-Aware Representation Learning for Scientific Multi-Literature EMNLP 2023 AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NIPS 2023 Automatic Evaluation of Attribution by Large Language Models EMNLP 2023 Event-Based Frame Interpolation With Ad-Hoc Deblurring CVPR 2023 CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution CVPR 2023 MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing NIPS 2023 Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering IJCAI 2023 Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 2023 Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023 Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation ICCV 2023 DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion ICCV 2023 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 Towards Interpretable Video Super-Resolution via Alternating Optimization ECCV 2022 Reference-Based Image Super-Resolution with Deformable Attention Transformer ECCV 2022 IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images CVPR 2022 Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022 WT-MVSNet: Window-based Transformers for Multi-view Stereo NIPS 2022 Recurrent Video Restoration Transformer with Guided Deformable Attention NIPS 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022 SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization NIPS 2022 APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction NIPS 2022 ARF: Artistic Radiance Fields ECCV 2022 Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ACL 2022 ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching CVPR 2022 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks IJCNLP 2021 Designing a Practical Degradation Model for Deep Blind Image Super-Resolution ICCV 2021 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER AAAI 2021 Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling ICCV 2021 Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution ICCV 2021 The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021 Towards Flexible Blind JPEG Artifacts Removal ICCV 2021 Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021 PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting CVPR 2021 Open Hierarchical Relation Extraction NAACL 2021 AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel NSDI 2021 GMOT-40: A Benchmark for Generic Multiple Object Tracking CVPR 2021 PQA: Perceptual Question Answering CVPR 2021 GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021 Cascaded Semantic and Positional Self-Attention Network for Document Classification EMNLP 2020 Neural Blind Deconvolution Using Deep Priors CVPR 2020 Depth Sensing Beyond LiDAR Range CVPR 2020 Deep Unfolding Network for Image Super-Resolution CVPR 2020 Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020 DHP: Differentiable Meta Pruning via HyperNetworks ECCV 2020 Multi-Stage Pre-training for Automated Chinese Essay Scoring EMNLP 2020 Learning Adaptive Random Features AAAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019 Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style ICCV 2019 Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019 Toward Convolutional Blind Denoising of Real Photographs CVPR 2019 Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels CVPR 2019 Unsupervised Context Rewriting for Open Domain Conversation EMNLP 2019 Unsupervised Context Rewriting for Open Domain Conversation IJCNLP 2019 TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy NAACL 2019 G-NET: Effective GPU Sharing in NFV Systems NSDI 2018 Learning a Single Convolutional Super-Resolution Network for Multiple Degradations CVPR 2018 Learning Deep CNN Denoiser Prior for Image Restoration CVPR 2017 Distributed Flexible Nonlinear Tensor Factorization NIPS 2016 Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events IJCAI 2016 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels ICML 2013 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Simplifying Mixture Models through Function Approximation NIPS 2006