Wenchao Yu

Orcid: 0000-0002-2480-448X

According to our database1, Wenchao Yu authored at least 61 papers between 2010 and 2024.

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

Timeline

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Bibliography

2024
Towards Inductive and Efficient Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain.
Sensors, May, 2024

Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology.
IEEE Trans. Aerosp. Electron. Syst., February, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A New Method of Noise Frequency Modulated Interference Suppression for SAR.
Proceedings of the IGARSS 2024, 2024

Large Language Models Can Be Contextual Privacy Protection Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution.
Signal Image Video Process., 2023

Large Language Models Can Be Good Privacy Protection Learners.
CoRR, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Personalized Federated Learning under Mixture of Distributions.
Proceedings of the International Conference on Machine Learning, 2023

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Time Series Contrastive Learning with Information-Aware Augmentations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection.
IEEE Trans. Instrum. Meas., 2022

Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations.
IEEE Trans. Geosci. Remote. Sens., 2022

Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction.
Digit. Signal Process., 2022

Personalized Federated Learning via Heterogeneous Modular Networks.
Proceedings of the IEEE International Conference on Data Mining, 2022

Seed: Sound Event Early Detection Via Evidential Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery.
IEEE Trans. Geosci. Remote. Sens., 2021

Unsupervised Document Embedding via Contrastive Augmentation.
CoRR, 2021

The Green Product's Pricing Strategy in a Dual Channel considering Manufacturer's Risk Attitude.
Complex., 2021

Learning to Drop: Robust Graph Neural Network via Topological Denoising.
Proceedings of the WSDM '21, 2021

Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Towards Robustness of Deep Neural Networks via Regularization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-Task Recurrent Modular Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Weak maneuvering target detection in random pulse repetition interval radar.
Signal Process., 2020

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Parameterized Explainer for Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Graph Representation Learning via Neural Sparsification.
Proceedings of the 37th International Conference on Machine Learning, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.
Proceedings of the 8th International Conference on Learning Representations, 2020

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Practical and Scalable Methods for Information Network Analysis and Mining.
PhD thesis, 2019

Fast implementation of ground maneuvering target focusing.
Digit. Signal Process., 2019

Deep Co-Clustering.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Self-Attentive Attributed Network Embedding Through Adversarial Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Learning Robust Representations with Graph Denoising Policy Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution.
Signal Process., 2018

Fast method for radar maneuvering target detection and motion parameter estimation.
Multidimens. Syst. Signal Process., 2018

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR, 2018

Modeling Co-Evolution Across Multiple Networks.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Learning Deep Network Representations with Adversarially Regularized Autoencoders.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Ground moving target motion parameter estimation using Radon modified Lv's distribution.
Digit. Signal Process., 2017

Temporally Factorized Network Modeling for Evolutionary Network Analysis.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Event Detection and Summarization Using Phrase Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015
Learning deep representations via extreme learning machines.
Neurocomputing, 2015

Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

A route planning strategy for the automatic garment cutter based on genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Embedding with Autoencoder Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2010
A feature selection method for document clustering based on part-of-speech and word co-occurrence.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010


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