Pengfei Wang

Orcid: 0000-0003-1075-0684

Affiliations:
  • Alibaba Group, DAMO Academy, Hangzhou, China
  • Missouri University of Science and Technology, Rolla, MO, USA
  • Chinese Academy of Sciences, Computer Network Information Center, Beijing, China


According to our database1, Pengfei Wang authored at least 38 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions.
ACM Trans. Web, May, 2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.
ACM Trans. Web, May, 2024

Dynamic and Adaptive Feature Generation with LLM.
CoRR, 2024

A Comprehensive Survey on Data Augmentation.
CoRR, 2024

TFWT: Tabular Feature Weighting with Transformer.
CoRR, 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
CoRR, 2024

scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding.
CoRR, 2024

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.
CoRR, 2024

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.
CoRR, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.
Artif. Intell., 2024

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations.
Proceedings of the ACM on Web Conference 2024, 2024

2023
HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction.
Briefings Bioinform., September, 2023

Dynamic High-Resolution Network for Semantic Segmentation in Remote-Sensing Images.
Remote. Sens., May, 2023

Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling.
IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift.
Proceedings of the IEEE International Conference on Data Mining, 2023

RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph.
Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations.
CoRR, 2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.
CoRR, 2022

Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021
Sparse Subspace Clustering for Stream Data.
IEEE Access, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Stable Learning via Causality-based Feature Rectification.
CoRR, 2020

Dynamic Spatio-Temporal Graph-Based CNNs for Traffic Flow Prediction.
IEEE Access, 2020

Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model.
ACM Trans. Intell. Syst. Technol., 2018

You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Framework of Data Sharing System with Decentralized Network.
Proceedings of the Big Scientific Data Management, 2018

2017
An algorithm for event detection based on social media data.
Neurocomputing, 2017

Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
How to Use the Social Media Data in Assisting Restaurant Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2016


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