pengfei wang
29 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(150)
π
Conference Pioneer
π
Century Club
(27)
π₯
Unstoppable
(8)
β‘
Prolific Year
(7)
Conferences
IJCAI (11)
AAAI (7)
CVPR (3)
ECCV (2)
NIPS (2)
ACL (1)
ACML (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
graph neural network
(5)
representation learning
(4)
reinforcement learning
(3)
single-cell rna sequencing
(2)
temporal knowledge graph
(2)
large language model
(2)
link prediction
(1)
disparity estimation
(1)
stochastic gradient descent
(1)
spectral clustering
(1)
machine translation
(1)
gradient-based optimization
(1)
embedding learning
(1)
model robustness
(1)
domain generalization
(1)
knowledge distillation
(1)
attention mechanism
(1)
semi-supervised learning
(1)
feature distribution
(1)
optimal transport
(1)
Papers
Fast Multi-view Consistent 3D Editing with Video Priors
AAAI 2026
scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing
AAAI 2026
Dynamic and Adaptive Feature Generation with LLM
IJCAI 2025
scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data
IJCAI 2025
Motif-Oriented Representation Learning with Topology Refinement for Drug-Drug Interaction Prediction
AAAI 2025
Diversity-oriented Data Augmentation with Large Language Models
ACL 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting
IJCAI 2025
Rethinking Graph Contrastive Learning Through Relative Similarity Preservation
IJCAI 2025
CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy
ICCV 2025
TFWT: Tabular Feature Weighting with Transformer
IJCAI 2024
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
NIPS 2024
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
IJCAI 2024
Finite-Time Convergence Rates of Decentralized Local Markovian Stochastic Approximation
IJCAI 2024
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation
ECCV 2024
Question Calibration and Multi-Hop Modeling for Temporal Question Answering
AAAI 2024
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
ECCV 2024
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
IJCAI 2024
Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
IJCAI 2024
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NIPS 2023
Sharpness-Aware Gradient Matching for Domain Generalization
CVPR 2023
Modeling Entities As Semantic Points for Visual Information Extraction in the Wild
CVPR 2023
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning
IJCAI 2023
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
EMNLP 2022
Context-Guided Adaptive Network for Efficient Human Pose Estimation
AAAI 2021
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
AAAI 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
IJCAI 2021
Bidirectional Dependency-Guided Attention for Relation Extraction
ACML 2020
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems
AAAI 2019
Left-Right Comparative Recurrent Model for Stereo Matching
CVPR 2018