Feng Wu

Neural Video Compression with Reference Hierarchy AAAI 2026 Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition AAAI 2026 Accelerating Large Language Model Reasoning via Speculative Search ICML 2025 Accurate and Scalable Graph Neural Networks via Message Invariance ICLR 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution ICLR 2025 Conical Visual Concentration for Efficient Large Vision-Language Models CVPR 2025 Cross-Modal Alignment via Variational Copula Modelling ICML 2025 CTPD: Cross-Modal Temporal Pattern Discovery for Enhanced Multimodal Electronic Health Records Analysis ACL 2025 D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement ICLR 2025 Differentiable Integer Linear Programming ICLR 2025 Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters ICML 2025 Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding ICML 2025 FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program AAAI 2025 Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning IJCAI 2025 HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference ACL 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation ICLR 2025 Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation AAAI 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 Structure-Aware Correspondence Learning for Relative Pose Estimation CVPR 2025 TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation ICCV 2025 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design ICML 2024 Autothrottle: A Practical Bi-Level Approach to Resource Management for SLO-Targeted Microservices NSDI 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models ICML 2024 Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation AAAI 2024 G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes MLHC 2024 Learning Large-Factor EM Image Super-Resolution with Generative Priors CVPR 2024 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024 MILP-StuDio: MILP Instance Generation via Block Structure Decomposition NeurIPS 2024 Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation AAAI 2024 QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks COLING 2024 RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation CVPR 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control IJCAI 2024 Scene Adaptive Sparse Transformer for Event-based Object Detection CVPR 2024 Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration AAAI 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NeurIPS 2024 Adaptive Spot-Guided Transformer for Consistent Local Feature Matching CVPR 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NeurIPS 2023 A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction IJCAI 2023 Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation ICCV 2023 Appearance Prompt Vision Transformer for Connectome Reconstruction IJCAI 2023 Better and Faster: Adaptive Event Conversion for Event-Based Object Detection AAAI 2023 Camouflaged Instance Segmentation via Explicit De-Camouflaging CVPR 2023 D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers CVPR 2023 DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation NeurIPS 2023 De Novo Molecular Generation via Connection-aware Motif Mining ICLR 2023 DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective CVPR 2023 GET: Group Event Transformer for Event-Based Vision ICCV 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation ICCV 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 State Sequences Prediction via Fourier Transform for Representation Learning NeurIPS 2023 VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors NeurIPS 2023 Cross-Modality Transformer for Visible-Infrared Person Re-identification ECCV 2022 Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition CVPR 2022 Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading CVPR 2022 ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation AAAI 2022 Stochastic Window Transformer for Image Restoration NeurIPS 2022 Action Unit Memory Network for Weakly Supervised Temporal Action Localization CVPR 2021 ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs NeurIPS 2021 Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs ACL 2021 Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer CVPR 2021 Foreground Activation Maps for Weakly Supervised Object Localization ICCV 2021 Lesion-Aware Transformers for Diabetic Retinopathy Grading CVPR 2021 Task-Aware Part Mining Network for Few-Shot Learning ICCV 2021 Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs AAAI 2021 Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021 Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021 Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection CVPR 2021 Camera Trace Erasing CVPR 2020 Deep Structure-Revealed Network for Texture Recognition CVPR 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NeurIPS 2020 M-LVC: Multiple Frames Prediction for Learned Video Compression CVPR 2020 Monte-Carlo Tree Search for Scalable Coalition Formation IJCAI 2020 Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020 Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning CVPR 2020 SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis ACL 2020 A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels AAAI 2019 Camera Lens Super-Resolution CVPR 2019 Compact Feature Learning for Multi-Domain Image Classification CVPR 2019 Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019 JPEG Artifacts Reduction via Deep Convolutional Sparse Coding ICCV 2019 Learning to Assemble Neural Module Tree Networks for Visual Grounding ICCV 2019 Deep Boosting for Image Denoising ECCV 2018 Person Re-Identification With Cascaded Pairwise Convolutions CVPR 2018 Integrating Answer Set Programming with Semantic Dictionaries for Robot Task Planning IJCAI 2017 Multi-Agent Planning with Baseline Regret Minimization IJCAI 2017 Snapshot Hyperspectral Light Field Imaging CVPR 2017 Coordinating Human-UAV Teams in Disaster Response IJCAI 2016 Agile Planning for Real-World Disaster Response IJCAI 2015 A Study of Human-Agent Collaboration for Multi-UAV Task Allocation in Dynamic Environments IJCAI 2015 High-Speed Hyperspectral Video Acquisition With a Dual-Camera Architecture CVPR 2015 CID: Combined Image Denoising in Spatial and Frequency Domains Using Web Images CVPR 2014 Separable Kernel for Image Deblurring CVPR 2014 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Depth Acquisition from Density Modulated Binary Patterns CVPR 2013 Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition CVPR 2013 Monte-Carlo Expectation Maximization for Dec-POMDPs IJCAI 2013