Ni, Jingchao

18 publications

IJCAI 2025 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

NeurIPS 2025 Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni

ICML 2024 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

NeurIPS 2023 Hierarchical Gaussian Mixture Based Task Generative Model for Robust Meta-Learning Yizhou Zhang, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Liang Tong, Haifeng Chen, Yan Liu

AAAI 2023 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

ICLR 2022 Superclass-Conditional Gaussian Mixture Model for Learning Fine-Grained Embeddings Jingchao Ni, Wei Cheng, Zhengzhang Chen, Takayoshi Asakura, Tomoya Soma, Sho Kato, Haifeng Chen

AAAI 2022 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

AAAI 2021 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

CVPR 2021 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

AAAI 2021 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

AAAI 2020 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

AAAI 2020 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

ICLR 2020 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

ECML-PKDD 2020 Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

ICML 2020 Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

AAAI 2020 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

AAAI 2019 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

IJCAI 2019 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