Kai Zhang

161 papers · 2006–2026 · 18 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌈 Renaissance Researcher (13) 🐝 Cross-Pollinator (13) 🏃 Academic Marathon (20) 🌍 Conference Polyglot (18) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (32) 🏆 Keyword Champion 🤝 Dynamic Duo (20) 🏆 Grand Slam 👥 Mega-Team (22) 👑 Triple Crown 🌱 Topic Pioneer 🔬 Deep Specialist (27) 🧬 Topic Evolution 💎 Century Club (159) 🗃️ Keyword Collector (64) 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (13) 🔥 Unstoppable (11) ❓ The Questioner (2)

Conferences

CVPR (32) AAAI (18) EMNLP (16) ICLR (15) ACL (13) ICCV (12) NIPS (12) ECCV (10) ICML (9) IJCAI (6) NAACL (5) IJCNLP (3) COLING (2) AISTATS (2) MICCAI (2) NSDI (2) AACL (1) WACV (1)

Top co-authors

Fujun Luan (20) Sai Bi (19) Qi Liu (19) Hao Tan (17) Luc Van Gool (16) Zexiang Xu (16) Radu Timofte (14) Enhong Chen (10) Yu Su (10) Jiezhang Cao (9)

Research topics

Education (2) Models (1) Applications (1) Privacy (1)

Keywords

image restoration (14) large language model (13) diffusion model (10) convolutional neural network (7) zero-shot learning (7) self-supervised learning (7) model compression (6) 3d reconstruction (6) graph neural network (6) reinforcement learning (6) attention mechanism (6) contrastive learning (5) representation learning (5) knowledge graph (4) language model (4) unsupervised learning (4) image denoising (4) transfer learning (4) data augmentation (4) multimodal learning (4)

Papers

From Darkness to Detail: Frequency-Aware SSMs for Low-Light Vision WACV 2026

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026

FantasyHSI: Video-Generation-Centric 4D Human Synthesis in Any Scene Through a Graph-Based Multi-Agent Framework AAAI 2026

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

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

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology CVPR 2025

Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors CVPR 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

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

Unified Parameter-Efficient Unlearning for LLMs ICLR 2025

Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness IJCAI 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

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration ICLR 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

Reverse Convolution and Its Applications to Image Restoration ICCV 2025

Revealing the Barriers of Language Agents in Planning NAACL 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

STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution ICCV 2025

Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) AISTATS 2025

WDMIR: Wavelet-Driven Multimodal Intent Recognition IJCAI 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

UMIE: Unified Multimodal Information Extraction with Instruction Tuning AAAI 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

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

DATENeRF: Depth-Aware Text-based Editing of NeRFs 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

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NIPS 2023

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 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

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering IJCAI 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

Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023

Automatic Evaluation of Attribution by Large Language Models EMNLP 2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing NIPS 2023

Content- and Topology-Aware Representation Learning for Scientific Multi-Literature EMNLP 2023

SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization NIPS 2022

Recurrent Video Restoration Transformer with Guided Deformable Attention NIPS 2022

WT-MVSNet: Window-based Transformers for Multi-view Stereo NIPS 2022

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction NIPS 2022

Towards Interpretable Video Super-Resolution via Alternating Optimization ECCV 2022

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials From Photometric Images CVPR 2022

ClusterGNN: Cluster-Based Coarse-To-Fine Graph Neural Network for Efficient Feature Matching CVPR 2022

Reference-Based Image Super-Resolution with Deformable Attention Transformer ECCV 2022

ARF: Artistic Radiance Fields ECCV 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis ACL 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

Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022

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

AIRCODE: Hidden Screen-Camera Communication on an Invisible and Inaudible Dual Channel NSDI 2021

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021

Open Hierarchical Relation Extraction NAACL 2021

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution ICCV 2021

Towards Flexible Blind JPEG Artifacts Removal ICCV 2021

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution ICCV 2021

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling ICCV 2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks IJCNLP 2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021

Flow-Based Kernel Prior With Application to Blind Super-Resolution CVPR 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

PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting CVPR 2021

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures CVPR 2021

Deep Unfolding Network for Image Super-Resolution CVPR 2020

Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020

Neural Blind Deconvolution Using Deep Priors CVPR 2020

Depth Sensing Beyond LiDAR Range CVPR 2020

DHP: Differentiable Meta Pruning via HyperNetworks ECCV 2020

Multi-Stage Pre-training for Automated Chinese Essay Scoring EMNLP 2020

Cascaded Semantic and Positional Self-Attention Network for Document Classification EMNLP 2020

Unsupervised Context Rewriting for Open Domain Conversation IJCNLP 2019

Learning Adaptive Random Features AAAI 2019

TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy NAACL 2019

Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style ICCV 2019

Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels CVPR 2019

Toward Convolutional Blind Denoising of Real Photographs CVPR 2019

Unsupervised Context Rewriting for Open Domain Conversation EMNLP 2019

Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations CVPR 2018

G-NET: Effective GPU Sharing in NFV Systems NSDI 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