Jingchao Ni

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2014–2026

Best venue rank

Where they publish

Papers

42 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.	Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2026	AAAI	Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models.	Jingchao Ni
2025	ACL	Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery.	ChengAo Shen, Zhengzhang Chen, Dongsheng Luo, Dongkuan Xu, Haifeng Chen, Jingchao Ni
2025	IJCAI	Harnessing Vision Models for Time Series Analysis: A Survey.	Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	KDD	Multi-modal Time Series Analysis: A Tutorial and Survey.	Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song
2024	ICML	Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.	Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo
2023	AAAI	Time Series Contrastive Learning with Information-Aware Augmentations.	Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	KDD	Interdependent Causal Networks for Root Cause Localization.	Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen
2022	AAAI	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.	Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2022	ICDM	Personalized Federated Learning via Heterogeneous Modular Networks.	Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022	ICLR	Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings.	Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen
2022	KDD	Towards Learning Disentangled Representations for Time Series.	Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2021	AAAI	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series.	Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	AAAI	Multi-Task Recurrent Modular Networks.	Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021	CIKM	Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.	Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen
2021	CIKM	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization.	Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	CVPR	FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems.	Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik
2021	KDD	Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.	Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021	NAACL	Unsupervised Concept Representation Learning for Length-Varying Text Similarity.	Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021	WSDM	Learning to Drop: Robust Graph Neural Network via Topological Denoising.	Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021	SDM	Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection.	Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2020	AAAI	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation.	Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	AAAI	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series.	Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020	AAAI	Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval.	Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, Haifeng Chen
2020	ICDM	T	Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	ICLR	Inductive and Unsupervised Representation Learning on Graph Structured Objects.	Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020	ICML	Robust Graph Representation Learning via Neural Sparsification.	Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
2020	WSDM	Deep Multi-Graph Clustering via Attentive Cross-Graph Association.	Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2019	AAAI	A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.	Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla
2019	ICDM	Adaptive Neural Network for Node Classification in Dynamic Networks.	Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019	IJCAI	Heterogeneous Graph Matching Networks for Unknown Malware Detection.	Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu
2019	SDM	Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification.	Shen Wang, Zhengzhang Chen, Ding Li, Zhichun Li, Lu-An Tang, Jingchao Ni, Junghwan Rhee, Haifeng Chen, Philip S. Yu
2019	SDM	Deep Co-Clustering.	Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2018	PAKDD	Local Graph Clustering by Multi-network Random Walk with Restart.	Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang
2018	WWW	Co-Regularized Deep Multi-Network Embedding.	Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2017	ICDE	Cross-Network Clustering and Cluster Ranking for Medical Diagnosis.	Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	ICDM	Many Heads are Better than One: Local Community Detection by the Multi-walker Chain.	Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2017	ICDM	Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems.	Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017	ICDM	Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network.	Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2016	ICDM	Self-Grouping Multi-network Clustering.	Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2015	KDD	Flexible and Robust Multi-Network Clustering.	Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2014	KDD	Inside the atoms: ranking on a network of networks.	Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang