Wenchao Yu

95 papers A* 25A 6B 1C 2Misc 3Journal 44Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
EACL (Findings)
Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026 — conf
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement.
EACL (Findings)
Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026 J jnl
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement.
CoRR
Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025 J jnl
DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router.
CoRR
Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2025 J jnl
Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop.
CoRR
Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
2025 J jnl
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection.
CoRR
Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu
2025 J jnl
Localization of Ground-Based Periodic Pulse Interferers Using Time Difference of Arrival Estimation in SAR Satellite Systems.
IEEE Trans. Geosci. Remote. Sens.
Shengqi Zhou, Xingyu Lu, Jianchao Yang, Huizhang Yang, Junpeng Du, Lunhao Duan, Wenchao Yu, Ke Tan, Shaojia Ge, Weimin Su, Hong Gu
2025 — conf
MixLLM: Dynamic Routing in Mixed Large Language Models.
NAACL (Long Papers)
Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025 J jnl
MixLLM: Dynamic Routing in Mixed Large Language Models.
CoRR
Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025 J jnl
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting.
CoRR
ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni
2025 — conf
Multi-modal Time Series Analysis: A Tutorial and Survey.
KDD (2)
Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025 J jnl
Multi-modal Time Series Analysis: A Tutorial and Survey.
CoRR
Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2025 — conf
Position Really Matters: Towards a Holistic Approach for Prompt Tuning.
NAACL (Findings)
Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen
2025 A* conf
SFS: Smarter Code Space Search improves LLM Inference Scaling.
ICLR
Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025 Misc conf
TSLA: A Multi-Task Time Series Language Model.
ICASSP
Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen
2025 A* conf
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.
AAAI
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025 J jnl
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents.
CoRR
Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen
2025 A* conf
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.
ICDM
Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025 J jnl
xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.
CoRR
Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2024 C conf
A New Method of Noise Frequency Modulated Interference Suppression for SAR.
IGARSS
Lunhao Duan, Xingyu Lu, Shengqi Zhou, Jianchao Yang, Ke Tan, Zheng Dai, Wenchao Yu, Wenbin Zhu, Hong Gu
2024 J jnl
A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain.
Sensors
Guanqi Tong, Xingyu Lu, Jianchao Yang, Wenchao Yu, Hong Gu, Weimin Su
2024 J jnl
Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology.
IEEE Trans. Aerosp. Electron. Syst.
Wenchao Yu, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
EMNLP (Findings)
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 — conf
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
VLDB Workshops
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 J jnl
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.
CoRR
Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 A conf
Interpretable Imitation Learning with Dynamic Causal Relations.
WSDM
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024 A* conf
Large Language Models Can Be Contextual Privacy Protection Learners.
EMNLP
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024 J jnl
Mix-Key: graph mixup with key structures for molecular property prediction.
Briefings Bioinform.
Tianyi Jiang, Zeyu Wang, Wenchao Yu, Jinhuan Wang, Shanqing Yu, Xiaoze Bao, Bin Wei, Qi Xuan
2024 A* conf
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
KDD
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.
CoRR
Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024 J jnl
Scattered Forest Search: Smarter Code Space Exploration with LLMs.
CoRR
Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2024 J jnl
Towards Inductive and Efficient Explanations for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
2023 J jnl
Dynamic DAG Discovery for Interpretable Imitation Learning.
CoRR
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 A* conf
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation.
KDD
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
2023 — conf
GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection.
ICKG
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023 J jnl
GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection.
CoRR
Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023 Misc conf
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation.
CISS
Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen
2023 J jnl
Large Language Models Can Be Good Privacy Protection Learners.
CoRR
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023 J jnl
Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution.
Signal Image Video Process.
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
2023 A* conf
Personalized Federated Learning under Mixture of Distributions.
ICML
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 J jnl
Personalized Federated Learning under Mixture of Distributions.
CoRR
Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023 A* conf
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
KDD
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 J jnl
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.
CoRR
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023 A* conf
Time Series Contrastive Learning with Information-Aware Augmentations.
AAAI
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023 J jnl
Time Series Contrastive Learning with Information-Aware Augmentations.
CoRR
Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2022 J jnl
Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations.
IEEE Trans. Geosci. Remote. Sens.
Xingyu Lu, Jianchao Yang, Tat Soon Yeo, Weimin Su, Hong Gu, Wenchao Yu
2022 J jnl
Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction.
Digit. Signal Process.
Wenchao Yu, Xingyu Lu, Weimin Su, Hong Gu, Jianchao Yang
2022 A* conf
Personalized Federated Learning via Heterogeneous Modular Networks.
ICDM
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Personalized Federated Learning via Heterogeneous Modular Networks.
CoRR
Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022 J jnl
Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection.
IEEE Trans. Instrum. Meas.
Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao Yu
2022 J jnl
SEED: Sound Event Early Detection via Evidential Uncertainty.
CoRR
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022 Misc conf
Seed: Sound Event Early Detection Via Evidential Uncertainty.
ICASSP
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2021 A* conf
Aspect-based Sentiment Classification via Reinforcement Learning.
ICDM
Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021 C conf
Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization.
IGARSS
Jianchao Yang, Xingyu Lu, Zheng Dai, Ke Tan, Wenchao Yu
2021 J jnl
Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery.
IEEE Trans. Geosci. Remote. Sens.
Xingyu Lu, Jianchao Yang, Wenchao Yu, Weimin Su, Hong Gu, Tat Soon Yeo
2021 A conf
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
WSDM
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021 A* conf
Multi-Task Recurrent Modular Networks.
AAAI
Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021 J jnl
The Green Product's Pricing Strategy in a Dual Channel considering Manufacturer's Risk Attitude.
Complex.
Junjie Ma, Wenchao Yu, Shuxia Li, Linghong Zhang, Shaobin Zang
2021 A* conf
Towards Robustness of Deep Neural Networks via Regularization.
ICCV
Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh
2021 J jnl
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
CoRR
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2021 J jnl
Unsupervised Document Embedding via Contrastive Augmentation.
CoRR
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2021 A conf
You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation.
CIKM
Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang
2020 A* conf
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱.
WWW
Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020 A* conf
Inductive and Unsupervised Representation Learning on Graph Structured Objects.
ICLR
Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020 J jnl
Learning to Drop: Robust Graph Neural Network via Topological Denoising.
CoRR
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2020 — conf
Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution.
ECML/PKDD (3)
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020 A* conf
Parameterized Explainer for Graph Neural Network.
NeurIPS
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020 J jnl
Parameterized Explainer for Graph Neural Network.
CoRR
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020 A* conf
Robust Graph Representation Learning via Neural Sparsification.
ICML
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020 A* conf
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.
AAAI
Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020 J jnl
Weak maneuvering target detection in random pulse repetition interval radar.
Signal Process.
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
2019 A conf
Deep Co-Clustering.
SDM
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2019 J jnl
Fast implementation of ground maneuvering target focusing.
Digit. Signal Process.
Wenchao Yu, Weimin Su, Hong Gu, Jianchao Yang, Xingyu Lu
2019 A* conf
Learning Robust Representations with Graph Denoising Policy Network.
ICDM
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019 J jnl
Learning Robust Representations with Graph Denoising Policy Network.
CoRR
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019 — —
Practical and Scalable Methods for Information Network Analysis and Mining.
Wenchao Yu
2019 A* conf
Self-Attentive Attributed Network Embedding Through Adversarial Learning.
ICDM
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
2019 A* conf
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
KDD
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang
2018 J jnl
Fast method for radar maneuvering target detection and motion parameter estimation.
Multidimens. Syst. Signal Process.
Wenchao Yu, Weimin Su, Hong Gu
2018 J jnl
Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution.
Signal Process.
Wenchao Yu, Weimin Su, Hong Gu
2018 A* conf
Learning Deep Network Representations with Adversarially Regularized Autoencoders.
KDD
Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang
2018 A conf
Modeling Co-Evolution Across Multiple Networks.
SDM
Wenchao Yu, Charu C. Aggarwal, Wei Wang
2018 A* conf
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks.
KDD
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang
2018 J jnl
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding.
CoRR
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus
2018 J jnl
Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xingyu Lu, Weimin Su, Jianchao Yang, Hong Gu, Hailong Zhang, Wenchao Yu, Tat Soon Yeo
2017 — conf
Event Detection and Summarization Using Phrase Network.
ECML/PKDD (3)
Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang
2017 J jnl
Ground moving target motion parameter estimation using Radon modified Lv's distribution.
Digit. Signal Process.
Wenchao Yu, Weimin Su, Hong Gu
2017 A* conf
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks.
IJCAI
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
2017 A conf
Temporally Factorized Network Modeling for Evolutionary Network Analysis.
WSDM
Wenchao Yu, Charu C. Aggarwal, Wei Wang
2015 J jnl
Learning deep representations via extreme learning machines.
Neurocomputing
Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2015 A* conf
Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market.
ICDM
Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo
2014 B conf
A route planning strategy for the automatic garment cutter based on genetic algorithm.
IEEE Congress on Evolutionary Computation
Wenchao Yu, Linji Lu
2014 — conf
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders.
ECML/PKDD (3)
Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
2013 — conf
Embedding with Autoencoder Regularization.
ECML/PKDD (3)
Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2010 — conf
A feature selection method for document clustering based on part-of-speech and word co-occurrence.
FSKD
Zitao Liu, Wenchao Yu, Yalan Deng, Yongtao Wang, Zhiqi Bian