Jingchao Ni - RankMe

80 papers A* 33A 7B 1Journal 34Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models. AAAI Jingchao Ni
2026	A*	`conf`	Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. AAAI Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2026	J	`jnl`	TSAQA: Time Series Analysis Question And Answering Benchmark. CoRR Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
2025	—	`conf`	Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery. ACL (Findings) ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025	J	`jnl`	From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation. CoRR Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Dongsheng Luo
2025	J	`jnl`	From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? CoRR Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Zhigang Deng, Qingsong Wen, Jingchao Ni
2025	A*	`conf`	Harnessing Vision Models for Time Series Analysis: A Survey. IJCAI Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Harnessing Vision Models for Time Series Analysis: A Survey. CoRR Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, 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	J	`jnl`	SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters. CoRR ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni
2025	J	`jnl`	Towards Heterogeneous Continual Graph Learning via Meta-knowledge Distillation. CoRR Guiquan Sun, Xikun Zhang, Jingchao Ni, Dongjin Song
2024	J	`jnl`	Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. CoRR Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2024	J	`jnl`	Exploring Multi-Modal Integration with Tool-Augmented LLM Agents for Precise Causal Discovery. CoRR ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2024	A*	`conf`	Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. ICML Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo
2024	J	`jnl`	Interpreting Graph Neural Networks with In-Distributed Proxies. CoRR Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
2024	J	`jnl`	MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series. CoRR Jingchao Ni, Gauthier Guinet, Peihong Jiang, Laurent Callot, Andrey Kan
2023	A*	`conf`	Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning. NeurIPS Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu
2023	J	`jnl`	Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization. CoRR Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2023	A*	`conf`	Interdependent Causal Networks for Root Cause Localization. KDD Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, 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	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	A*	`conf`	Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings. ICLR Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022	A*	`conf`	Towards Learning Disentangled Representations for Time Series. KDD Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022	B	`conf`	Towards Robust Graph Neural Networks via Adversarial Contrastive Learning. IEEE Big Data Shen Wang, Zhengzhang Chen, Jingchao Ni, Haifeng Chen, Philip S. Yu
2022	A*	`conf`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021	A*	`conf`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. ACM Multimedia Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	J	`jnl`	Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection. CoRR Xinyang Feng, Dongjin Song, Yuncong Chen, Zhengzhang Chen, Jingchao Ni, Haifeng Chen
2021	A	`conf`	Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. CoRR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A*	`conf`	FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. CVPR Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
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-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. KDD Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
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	A	`conf`	Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CIKM Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2021	—	`conf`	Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
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	J	`jnl`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020	A*	`conf`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	A	`conf`	Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020	A*	`conf`	Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. AAAI Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
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	J	`jnl`	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
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`	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	J	`jnl`	Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs. CoRR Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2020	A*	`conf`	T ICDM Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	J	`jnl`	T CoRR Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
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
2019	A*	`conf`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. AAAI Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019	A*	`conf`	Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019	J	`jnl`	Adversarial Defense Framework for Graph Neural Network. CoRR Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	A	`conf`	Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification. SDM Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
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	A*	`conf`	Heterogeneous Graph Matching Networks for Unknown Malware Detection. IJCAI Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	J	`jnl`	Heterogeneous Graph Matching Networks. CoRR Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	J	`jnl`	The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2018	J	`jnl`	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. CoRR Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2018	A*	`conf`	Co-Regularized Deep Multi-Network Embedding. WWW Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018	J	`jnl`	ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2018	J	`jnl`	Deep Program Reidentification: A Graph Neural Network Solution. CoRR Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2018	—	`conf`	Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang
2017	A*	`conf`	Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	A*	`conf`	Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	A*	`conf`	Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2017	A*	`conf`	Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017	J	`jnl`	Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2016	J	`jnl`	Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang
2016	A*	`conf`	Self-Grouping Multi-network Clustering. ICDM Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2015	A*	`conf`	Flexible and Robust Multi-Network Clustering. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2014	A*	`conf`	Inside the atoms: ranking on a network of networks. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang