← Authors

Feng Wu

107 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (13) 🏠 Conference Loyalist (30) πŸ† Grand Slam πŸ† Keyword Champion πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution 🀝 Dynamic Duo (27) πŸ‘‘ Triple Crown πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (105) ⚑ Prolific Year (20) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (405)

Conferences

CVPR (30) AAAI (13) ICLR (13) IJCAI (12) ICML (11) NIPS (10) ICCV (8) ACL (4) ECCV (2) COLING (1) IJCNLP (1) MLHC (1) NSDI (1)

Top co-authors

Jie Wang (27) Tianzhu Zhang (22) Yongdong Zhang (20) Zhiwei Xiong (17) Jianye Hao (14) Zheng-Jun Zha (12) Mingxuan Yuan (10) Rui Sun (10) Zhihai Wang (8) Zijie Geng (8)

Keywords

semi-supervised learning (6) semantic segmentation (6) attention mechanism (5) medical imaging (5) feature extraction (5) electron microscopy (4) event camera (4) convolutional neural network (4) weakly supervised learning (4) contrastive learning (4) domain adaptation (4) metric learning (3) large language model (3) video understanding (3) image restoration (3) multimodal learning (3) consistency regularization (3) object detection (2) dictionary learning (2) image segmentation (2)

Papers

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