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ORCIDWenchao Yu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Books and Theses
- 2019
[b1]Wenchao Yu:
Practical and Scalable Methods for Information Network Analysis and Mining. University of California, Los Angeles, USA, 2019
Journal Articles
- 2024
- [j16]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): 5245-5259 (2024) - [j15]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): 3095 (2024) - [j14]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): 1091-1101 (2024) - 2023
- [j13]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): 2771-2778 (2023) - 2022
- [j12]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: 103674 (2022) - [j11]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: 1-13 (2022) - [j10]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: 1-12 (2022) - 2021
- [j9]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: 6663288:1-6663288:12 (2021) - [j8]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): 1302-1318 (2021) - 2020
- [j7]Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu:
Weak maneuvering target detection in random pulse repetition interval radar. Signal Process. 171: 107520 (2020) - 2019
- [j6]Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu:
Fast implementation of ground maneuvering target focusing. Digit. Signal Process. 89: 155-169 (2019) - 2018
- [j5]Wenchao Yu, Weimin Su, Hong Gu:
Fast method for radar maneuvering target detection and motion parameter estimation. Multidimens. Syst. Signal Process. 29(4): 1411-1425 (2018) - [j4]Wenchao Yu, Weimin Su, Hong Gu:
Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution. Signal Process. 144: 364-372 (2018) - [j3]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): 4835-4847 (2018) - 2017
- [j2]Wenchao Yu, Weimin Su, Hong Gu:
Ground moving target motion parameter estimation using Radon modified Lv's distribution. Digit. Signal Process. 69: 212-223 (2017) - 2015
- [j1]Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015)
Conference and Workshop Papers
- 2024
- [c39]Lunhao Duan, Xingyu Lu, Shengqi Zhou, Jianchao Yang, Ke Tan, Zheng Dai, Wenchao Yu, Wenbin Zhu, Hong Gu:
A New Method of Noise Frequency Modulated Interference Suppression for SAR. IGARSS 2024: 9152-9155 - [c38]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: 6148-6157 - [c37]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. VLDB Workshops 2024 - [c36]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: 967-975 - 2023
- [c35]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: 4534-4542 - [c34]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c33]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: 9-18 - [c32]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: 37860-37879 - [c31]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c30]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: 3513-3524 - 2022
- [c29]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP 2022: 3618-3622 - [c28]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: 1197-1202 - 2021
- [c27]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: 10496-10504 - [c26]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: 3945-3954 - [c25]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: 7476-7485 - [c24]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: 1391-1396 - [c23]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: 5103-5106 - [c22]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: 779-787 - 2020
- [c21]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: 1395-1402 - [c20]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 - [c19]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: 11458-11468 - [c18]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. NeurIPS 2020 - [c17]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: 330-346 - [c16]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: 1785-1795 - 2019
- [c15]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang:
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM 2019: 758-767 - [c14]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: 1378-1383 - [c13]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: 1709-1719 - [c12]Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang:
Deep Co-Clustering. SDM 2019: 414-422 - 2018
- [c11]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: 2663-2671 - [c10]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: 2672-2681 - [c9]Wenchao Yu, Charu C. Aggarwal, Wei Wang:
Modeling Co-Evolution Across Multiple Networks. SDM 2018: 675-683 - 2017
- [c8]Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang:
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI 2017: 3343-3349 - [c7]Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang:
Event Detection and Summarization Using Phrase Network. ECML/PKDD (3) 2017: 89-101 - [c6]Wenchao Yu, Charu C. Aggarwal, Wei Wang:
Temporally Factorized Network Modeling for Evolutionary Network Analysis. WSDM 2017: 455-464 - 2015
- [c5]Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo:
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. ICDM 2015: 569-578 - 2014
- [c4]Wenchao Yu, Linji Lu:
A route planning strategy for the automatic garment cutter based on genetic algorithm. IEEE Congress on Evolutionary Computation 2014: 379-386 - [c3]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: 417-431 - 2013
- [c2]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - 2010
- [c1]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: 2331-2334
Informal and Other Publications
- 2024
- [i16]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 abs/2402.11441 (2024) - [i15]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 abs/2407.08910 (2024) - 2023
- [i14]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 abs/2303.11911 (2023) - [i13]Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. CoRR abs/2305.01068 (2023) - [i12]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 abs/2306.07919 (2023) - [i11]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 abs/2309.05953 (2023) - [i10]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 abs/2310.00489 (2023) - [i9]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 abs/2310.02469 (2023) - 2022
- [i8]Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen:
SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR abs/2202.02441 (2022) - [i7]Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang:
Personalized Federated Learning via Heterogeneous Modular Networks. CoRR abs/2210.14830 (2022) - 2021
- [i6]Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang:
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. CoRR abs/2103.08115 (2021) - [i5]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 abs/2103.14542 (2021) - 2020
- [i4]Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang:
Parameterized Explainer for Graph Neural Network. CoRR abs/2011.04573 (2020) - [i3]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 abs/2011.07057 (2020) - 2019
- [i2]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 abs/1910.01784 (2019) - 2018
- [i1]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 abs/1811.07950 (2018)
Coauthor Index
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