Jingchao Ni

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 62

Top Topics

Graph Clustering

Multivariate Time Series

Top Venues

Publications

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
Interpreting Graph Neural Networks with In-Distributed Proxies. CoRR (2024)
Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series. CoRR (2024)
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. 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)
Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
Interdependent Causal Networks for Root Cause Localization. KDD (2023)
Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS (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)
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)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
Towards Learning Disentangled Representations for Time Series. KDD (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)
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI (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)
Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. Big Data (2022)
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia (2021)
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR (2021)
Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR (2021)
Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM (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. 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)
Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR (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)
Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM (2021)
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. 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)
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)
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)
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD (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)
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, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Yu, Xiang Zhang
Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM (2020)
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. 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. 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)
Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. 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)
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)
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)
Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
Adversarial Defense Framework for Graph Neural Network. CoRR (2019)
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI (2019)
Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
Deep Co-Clustering. SDM (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)
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)
Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM (2019)
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
Heterogeneous Graph Matching Networks. CoRR (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)
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
Deep Program Reidentification: A Graph Neural Network Solution. CoRR (2018)
Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Yu, John Yen, Xiang Zhang
Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) (2018)
Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
Co-Regularized Deep Multi-Network Embedding. WWW (2018)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM (2017)
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)
Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM (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)
Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE (2017)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
Self-Grouping Multi-network Clustering. ICDM (2016)
Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. 17 (2016)
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
Flexible and Robust Multi-Network Clustering. KDD (2015)
Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
Inside the atoms: ranking on a network of networks. KDD (2014)