Wenchao Yu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 63

Top Venues

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM (2024)
Wenchao Yu, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang
Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology. IEEE Trans. Aerosp. Electron. Syst. 60 (1) (2024)
Guanqi Tong, Xingyu Lu, Jianchao Yang, Wenchao Yu, Hong Gu, Weimin Su
A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain. Sensors 24 (10) (2024)
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. CoRR (2024)
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR (2024)
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. KDD (2024)
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
Personalized Federated Learning under Mixture of Distributions. ICML (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. CoRR (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR (2023)
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR (2023)
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD (2023)
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution. Signal Image Video Process. 17 (6) (2023)
Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS (2023)
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
Large Language Models Can Be Good Privacy Protection Learners. CoRR (2023)
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG (2023)
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
Personalized Federated Learning under Mixture of Distributions. CoRR (2023)
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Time Series Contrastive Learning with Information-Aware Augmentations. AAAI (2023)
Wenchao Yu, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang
Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction. Digit. Signal Process. 129 (2022)
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
Personalized Federated Learning via Heterogeneous Modular Networks. ICDM (2022)
Xingyu Lu, Jianchao Yang, Tat Soon Yeo, Weimin Su, Hong Gu, Wenchao Yu
Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR (2022)
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP (2022)
Tianchun Wan, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR (2022)
Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao Yu
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection. IEEE Trans. Instrum. Meas. 71 (2022)
Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
Towards Robustness of Deep Neural Networks via Regularization. ICCV (2021)
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
Multi-Task Recurrent Modular Networks. AAAI (2021)
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
Aspect-based Sentiment Classification via Reinforcement Learning. ICDM (2021)
Xingyu Lu, Jianchao Yang, Wenchao Yu, Weimin Su, Hong Gu, Tat Soon Yeo
Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery. IEEE Trans. Geosci. Remote. Sens. 59 (2) (2021)
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. CoRR (2021)
Junjie Ma, Wenchao Yu, Shuxia Li, Linghong Zhang, Shaobin Zang
The Green Product's Pricing Strategy in a Dual Channel considering Manufacturer's Risk Attitude. Complex. 2021 (2021)
Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. CIKM (2021)
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
Unsupervised Document Embedding via Contrastive Augmentation. CoRR (2021)
Jianchao Yang, Xingyu Lu, Zheng Dai, Ke Tan, Wenchao Yu
Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization. IGARSS (2021)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM (2021)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. NeurIPS (2020)
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
Parameterized Explainer for Graph Neural Network. CoRR (2020)
Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW (2020)
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR (2020)
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
Weak maneuvering target detection in random pulse repetition interval radar. Signal Process. 171 (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI (2020)
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
Robust Graph Representation Learning via Neural Sparsification. ICML (2020)
Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR (2020)
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. ECML/PKDD (3) (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Deep Co-Clustering. SDM (2019)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM (2019)
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
Fast implementation of ground maneuvering target focusing. Digit. Signal Process. 89 (2019)
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. KDD (2019)
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
Learning Robust Representations with Graph Denoising Policy Network. ICDM (2019)
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
Learning Robust Representations with Graph Denoising Policy Network. CoRR (2019)
Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
Learning Deep Network Representations with Adversarially Regularized Autoencoders. KDD (2018)
Wenchao Yu, Charu C. Aggarwal, Wei Wang
Modeling Co-Evolution Across Multiple Networks. SDM (2018)
Wenchao Yu, Weimin Su, Hong Gu
Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution. Signal Process. 144 (2018)
Wenchao Yu, Weimin Su, Hong Gu
Fast method for radar maneuvering target detection and motion parameter estimation. Multidimens. Syst. Signal Process. 29 (4) (2018)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. KDD (2018)
Xingyu Lu, Weimin Su, Jianchao Yang, Hong Gu, Hailong Zhang, Wenchao Yu, Tat Soon Yeo
Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (12) (2018)
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. CoRR (2018)
Wenchao Yu, Charu C. Aggarwal, Wei Wang
Temporally Factorized Network Modeling for Evolutionary Network Analysis. WSDM (2017)
Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang
Event Detection and Summarization Using Phrase Network. ECML/PKDD (3) (2017)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI (2017)
Wenchao Yu, Weimin Su, Hong Gu
Ground moving target motion parameter estimation using Radon modified Lv's distribution. Digit. Signal Process. 69 (2017)
Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. ICDM (2015)
Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi
Learning deep representations via extreme learning machines. Neurocomputing 149 (2015)
Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) (2014)
Wenchao Yu, Linji Lu
A route planning strategy for the automatic garment cutter based on genetic algorithm. IEEE Congress on Evolutionary Computation (2014)
Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
Embedding with Autoencoder Regularization. ECML/PKDD (3) (2013)
Zitao Liu, Wenchao Yu, Yalan Deng, Yongtao Wang, Zhiqi Bian
A feature selection method for document clustering based on part-of-speech and word co-occurrence. FSKD (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wenchao Yu