Wei Cheng

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 102

Top Venues

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)
Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. ICLR (2024)
Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR (2024)
Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
Pruning as a Domain-specific LLM Extractor. CoRR (2024)
Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT (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)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR (2024)
Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. CoRR (2024)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD (2024)
Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD (2024)
Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Parametric Augmentation for Time Series Contrastive Learning. ICLR (2024)
Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
Protecting Your LLMs with Information Bottleneck. CoRR (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)
Bang-Sheng Wu, Yi-Jun Ge, Wei Zhang, Shi-Dong Chen, Shi-Tong Xiang, Ya-Ru Zhang, Ya-Nan Ou, Yu-Chao Jiang, Lan Tan, Wei Cheng, John Suckling, Jianfeng Feng, Jin-Tai Yu, Ying Mao
Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. NeuroImage 269 (2023)
Xianjun Yang, Wei Cheng, Xujiang Zhao, Linda R. Petzold, Haifeng Chen
Dynamic Prompting: A Unified Framework for Prompt Tuning. CoRR (2023)
Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR (2023)
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
Zero-Shot Detection of Machine-Generated Codes. CoRR (2023)
Shitong Xiang, Tianye Jia, Chao Xie, Zhichao Zhu, Wei Cheng, Gunter Schumann, Trevor W. Robbins, Jianfeng Feng
Fractionation of neural reward processing into independent components by novel decoding principle. NeuroImage 284 (2023)
Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR (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)
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)
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
A Survey on Detection of LLMs-Generated Content. 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)
Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR (2023)
Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD (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)
Masanao Natsumeda, Takehiko Mizoguchi, Wei Cheng, Yuncong Chen, Haifeng Chen
Unsupervised anomaly detection under a multiple modeling strategy via model set optimization through transfer learning. FUSION (2023)
Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Shitong Xiang, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Gunter Schumann, Fengzhu Sun, Jianfeng Feng
A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage 255 (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)
Wei Zhu, Dongjin Song, Yuncong Chen, Wei Cheng, Bo Zong, Takehiko Mizoguchi, Cristian Lumezanu, Haifeng Chen, Jiebo Luo
Deep Federated Anomaly Detection for Multivariate Time Series Data. Big Data (2022)
Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR (2022)
Edmund T. Rolls, Zhuo Wan, Wei Cheng, Jianfeng Feng
Risk-taking in humans and the medial orbitofrontal cortex reward system. NeuroImage 249 (2022)
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR (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)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS (2021)
Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI (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)
Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR (2021)
Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward T. Bullmore, Chun-Yi Zac Lo, Jianfeng Feng
Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age. NeuroImage 237 (2021)
Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR (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)
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
-Net: A Semi-supervised Deep Model for Turbulence Forecasting. CoRR (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)
Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, Zhengzhang Chen, Wei Cheng, Carl A. Gunter, Haifeng Chen
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. NDSS (2020)
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR (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)
Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI (2020)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Zeyu Li, Wei Cheng, Yang Chen, Haifeng Chen, Wei Wang
Interpretable Click-Through Rate Prediction through Hierarchical Attention. WSDM (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)
Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. 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)
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
-Net: A Semi-supervised Deep Model for Turbulence Forecasting. ICDM (2020)
Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
Temporal Context-Aware Representation Learning for Question Routing. WSDM (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)
Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. 62 (5) (2020)
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Deep Co-Clustering. SDM (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI (2019)
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI (2019)
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. 60 (3) (2019)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang
Self-Attentive Attributed Network Embedding Through Adversarial Learning. ICDM (2019)
Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun, Zhishan Guo
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (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)
Zhaowen Liu, Edmund T. Rolls, Zhi Liu, Kai Zhang, Ming Yang, Jingnan Du, Weikang Gong, Wei Cheng, Fei Dai, He Wang, Kamil Ugurbil, Jie Zhang, Jianfeng Feng
Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results. Bioinform. 35 (19) (2019)
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM (2019)
Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR (2018)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
On Multi-query Local Community Detection. ICDM (2018)
Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Dae-ki Cho, Haifeng Chen
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. ICLR (Poster) (2018)
Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
De-biasing Covariance-Regularized Discriminant Analysis. IJCAI (2018)
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)
Ying Lin, Zhengzhang Chen, Cheng Cao, Lu-An Tang, Kai Zhang, Wei Cheng, Zhichun Li
Collaborative Alert Ranking for Anomaly Detection. CIKM (2018)
Dongjin Song, Ning Xia, Wei Cheng, Haifeng Chen, Dacheng Tao
Deep r -th Root of Rank Supervised Joint Binary Embedding for Multivariate Time Series Retrieval. KDD (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)
Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
Co-Regularized Deep Multi-Network Embedding. WWW (2018)
Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data 11 (4) (2017)
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250 (2017)
Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM (2017)
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
AWDA: An Adaptive Wishart Discriminant Analysis. ICDM (2017)
Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang
Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. IJCAI (2017)
Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo, Yanjie Fu
Multi-party Sparse Discriminant Learning. ICDM (2017)
Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData (2017)
Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM (2017)
Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Zhishan Guo
FWDA: a Fast Wishart Discriminant Analysis with its Application to Electronic Health Records Data Classification. CoRR (2017)
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI (2017)
Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR (2017)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
Self-Grouping Multi-network Clustering. ICDM (2016)
Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang
CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. 46 (2) (2016)

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Publication Activity (10 Years)

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Top Venues

Wei Cheng