Jie Chen

SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026 UniAPO: Unified Multimodal Automated Prompt Optimization AAAI 2026 Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner AAAI 2026 WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation AAAI 2026 BiHiTo: Biomolecular Hierarchy-inspired Tokenization AAAI 2026 Execution as Verification: Fine-Grained Self-Correcting Reasoning for Complex KBQA ACL 2026 CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables ACL 2026 Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning AAAI 2026 Conditional Distribution Learning for Graph Classification AAAI 2026 SOSControl: Enhancing Human Motion Generation Through Saliency-Aware Symbolic Orientation and Timing Control AAAI 2026 Deep Inverse Shading: Consistent Albedo and Surface Detail Recovery via Generative Refinement AAAI 2026 ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs EACL 2026 CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation AAAI 2026 CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation AAAI 2025 DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs AAAI 2025 Cross-View Graph Consistency Learning for Invariant Graph Representations AAAI 2025 Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Derailer-Rerailer: Adaptive Verification for Efficient and Reliable Language Model Reasoning ACL 2025 Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM Sampling NAACL 2025 SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search MICCAI 2025 MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction IJCAI 2025 Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025 Teaching Language Models to Critique via Reinforcement Learning ICML 2025 GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning ICML 2025 Directed Graph Grammars for Sequence-based Learning ICML 2025 Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages ICML 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning ICLR 2025 Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems ICLR 2025 Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA ICLR 2025 Procedural Synthesis of Synthesizable Molecules ICLR 2025 DASH: 4D Hash Encoding with Self-Supervised Decomposition for Real-Time Dynamic Scene Rendering ICCV 2025 Efficient Spiking Point Mamba for Point Cloud Analysis ICCV 2025 Tune-Your-Style: Intensity-tunable 3D Style Transfer with Gaussian Splatting ICCV 2025 Temporal-aware Query Routing for Real-time Video Instance Segmentation ICCV 2025 Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning EMNLP 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 iSegMan: Interactive Segment-and-Manipulate 3D Gaussians CVPR 2025 Adversarial Diffusion Compression for Real-World Image Super-Resolution CVPR 2025 Enhancing Language Model Hypernetworks with Restart: A Study on Optimization NAACL 2025 Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion ECCV 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering NIPS 2024 Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs NIPS 2024 HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting NIPS 2024 Parallel Vertex Diffusion for Unified Visual Grounding AAAI 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning AAAI 2024 Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues AAAI 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks AAAI 2024 The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024 LLMBox: A Comprehensive Library for Large Language Models ACL 2024 Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data ACL 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation CVPR 2024 FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation CVPR 2024 DETRs Beat YOLOs on Real-time Object Detection CVPR 2024 GraCo: Granularity-Controllable Interactive Segmentation CVPR 2024 Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation ECCV 2024 Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents ECCV 2024 ParCo: Part-Coordinating Text-to-Motion Synthesis ECCV 2024 Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation ECCV 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 Representing Molecules as Random Walks Over Interpretable Grammars ICML 2024 Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints ICML 2024 Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment IJCAI 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning ICLR 2023 WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation IJCAI 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023 Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction ICML 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 Explain-then-translate: an analysis on improving program translation with self-generated explanations EMNLP 2023 High-Frequency Stereo Matching Network CVPR 2023 Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation CVPR 2023 A Unified Pyramid Recurrent Network for Video Frame Interpolation CVPR 2023 Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild AAAI 2023 Enhanced Bi-Directional Motion Estimation for Video Frame Interpolation WACV 2023 Federated learning of models pre-trained on different features with consensus graphs UAI 2023 The Devil is in the Crack Orientation: A New Perspective for Crack Detection ICCV 2023 LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization ICCV 2023 Towards Real-World Burst Image Super-Resolution: Benchmark and Method ICCV 2023 Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation ICCV 2023 TopoSeg: Topology-Aware Nuclear Instance Segmentation ICCV 2023 Learning to Distill Global Representation for Sparse-View CT ICCV 2023 DiffusionRet: Generative Text-Video Retrieval with Diffusion Model ICCV 2023 Deep Multiview Clustering by Contrasting Cluster Assignments ICCV 2023 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation CVPR 2023 From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm CVPR 2023 Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NIPS 2023 Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning CVPR 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 TG-VQA: Ternary Game of Video Question Answering IJCAI 2023 Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning ECCV 2022 When Active Learning Meets Implicit Semantic Data Augmentation ECCV 2022 NDF: Neural Deformable Fields for Dynamic Human Modelling ECCV 2022 Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations NIPS 2022 ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval CVPR 2022 Training-Free Transformer Architecture Search CVPR 2022 Geometry-Aware Guided Loss for Deep Crack Recognition CVPR 2022 Data-Efficient Graph Grammar Learning for Molecular Generation ICLR 2022 Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series ICLR 2022 Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information INTERSPEECH 2022 Robust Scene Text Detection via Learnable Scene Transformations ACML 2022 Detecting Ephemeral Optical Events with OpTel NSDI 2022 Locality Guidance for Improving Vision Transformers on Tiny Datasets ECCV 2022 Discrete Graph Structure Learning for Forecasting Multiple Time Series ICLR 2021 Dynamic visualization for L1 fusion convex clustering in near-linear time UAI 2021 A Partial Label Metric Learning Algorithm for Class Imbalanced Data ACML 2021 CentripetalText: An Efficient Text Instance Representation for Scene Text Detection NIPS 2021 Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification CVPR 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021 CDNet: Centripetal Direction Network for Nuclear Instance Segmentation ICCV 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021 RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection IJCAI 2021 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models IJCAI 2021 CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning CVPR 2021 Directed Acyclic Graph Neural Networks ICLR 2021 Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection CVPR 2020 Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization CVPR 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020 Online Planner Selection with Graph Neural Networks and Adaptive Scheduling AAAI 2020 Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures ECCV 2020 Embedding Compression with Isotropic Iterative Quantization AAAI 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020 AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020 Attention on Attention for Image Captioning ICCV 2019 Adaptively Aligned Image Captioning via Adaptive Attention Time NIPS 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks ICML 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs AAAI 2019 Graph Enhanced Cross-Domain Text-to-SQL Generation EMNLP 2019 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework CVPR 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NIPS 2018 Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures INTERSPEECH 2018 Text-Dependent Speech Enhancement for Small-Footprint Robust Keyword Detection INTERSPEECH 2018 Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues ECCV 2018 Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017 SRN: Side-output Residual Network for Object Symmetry Detection in the Wild CVPR 2017 Hierarchically Compositional Kernels for Scalable Nonparametric Learning JMLR 2017 Solving Most Systems of Random Quadratic Equations NIPS 2017 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016 Remote Heart Rate Measurement From Face Videos Under Realistic Situations CVPR 2014 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009