JN
Jingchao Ni
cs.LGcs.AIstat.MLcs.CLcs.CRcs.CVcell clusteringcs.IRcs.SIdeep learning
On Valency
published · living versionsW_bjhjwetw·v1 · currentpublished
Tandem: Serving Hybrid Linear-Attention GUI Agents on Mobile NPUs
with Zhuomin Chen, Xu Zheng, Yong Chen, Mo Sha +2
1 version
Preprints & journals
41 papers in the corpus · 2016–2026Tandem: Serving Hybrid Linear-Attention GUI Agents on Mobile NPUs2610.26660v1 · Zhuomin Chen, Jingchao Ni, Xu Zheng et al.2026 · 0 citationsarXivon Valency
Do Time-Series QA Systems Read the Time Series? Evidence Use and Reasoning Reliability2610.05686v1 · Zhuomin Chen, Jingchao Ni, Xu Zheng et al.2026 · 0 citationsarXiv
BridgeCast: Bridging Ocean Wave Forecasts to Reanalysis via Flow Matching with Exogenous Variables2610.03759v3 · Siyu Gan, Dongsheng Luo, Kunxiaojia Yuan et al.2026 · 0 citationsarXiv
Addressing Structural Distribution Shift in Explanations for Graph Neural Networks.42081424 · Chen, Zhuomin, Salehi, Hojat Allah, Schafir, Esteban et al.2026 · 0 citationsIEEE transactions on pattern analysis and machine intelligence. 2026;48(9):10976-10990
Towards A Unified Information Bottleneck Framework for Time Series Explanations2608.25897v1 · Xu Zheng, Zichuan Liu, Zhuomin Chen et al.2026 · 0 citationsarXiv
MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters2608.23473v2 · ChengAo Shen, Wenchao Yu, Fangyu Wu et al.2026 · 0 citationsarXiv
Information Bottleneck Learning for Faithful Time Series Forecasting Explanations2607.28124v1 · Xu Zheng, Wei Cheng, Zhuomin Chen et al.2026 · 0 citationsarXiv
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts2605.12998v3 · Guiquan Sun, Xikun Zhang, Jingchao Ni et al.2026 · 0 citationsarXiv
TSAQA: Time Series Analysis Question And Answering Benchmark2601.23204v2 · Baoyu Jing, Sanhorn Chen, Lecheng Zheng et al.2026 · 0 citationsarXiv
SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters2510.09780v2 · ChengAo Shen, Ziming Zhao, Hanghang Tong et al.2025 · 0 citationsarXiv
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation2508.01925v1 · Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.2025 · 0 citationsarXiv
Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting2505.24003v2 · ChengAo Shen, Wenchao Yu, Ziming Zhao et al.2025 · 2 citationsarXiv
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?2505.24030v2 · Ziming Zhao, ChengAo Shen, Hanghang Tong et al.2025 · 0 citationsarXiv
HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning2505.17458v4 · Guiquan Sun, Xikun Zhang, Jingchao Ni et al.2025 · 0 citationsarXiv
Multi-modal Time Series Analysis: A Tutorial and Survey2503.13709v1 · Yushan Jiang, Kanghui Ning, Zijie Pan et al.2025 · 42 citationsarXiv
Harnessing Vision Models for Time Series Analysis: A Survey2502.08869v2 · Jingchao Ni, Ziming Zhao, ChengAo Shen et al.2025 · 14 citationsarXiv
SCGclust: Single Cell Graph clustering using graph autoencoders integrating SNVs and CNAs.39975167 · Potu, Teja, Hu, Yunfei, Khan, Rituparna et al.2025 · 1 citationbioRxiv : the preprint server for biology. 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery2412.13667v2 · ChengAo Shen, Zhengzhang Chen, Dongsheng Luo et al.2024 · 7 citationsarXiv
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning2410.12657v2 · Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi et al.2024 · 1 citationarXiv
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks2402.02036v2 · Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.2024 · 0 citationsarXiv
MELODY: Robust Semi-Supervised Hybrid Model for Entity-Level Online Anomaly Detection with Multivariate Time Series2401.10338v2 · Jingchao Ni, Gauthier Guinet, Peihong Jiang et al.2024 · 1 citationarXiv
Time Series Contrastive Learning with Information-Aware Augmentations2303.11911v1 · Dongsheng Luo, Wei Cheng, Yingheng Wang et al.2023 · 102 citationsarXiv
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization2302.01987v1 · Dongjie Wang, Zhengzhang Chen, Jingchao Ni et al.2023 · 7 citationsarXiv
Personalized Federated Learning via Heterogeneous Modular Networks2210.14830v2 · Tianchun Wang, Wei Cheng, Dongsheng Luo et al.2022 · 20 citationsIEEE International Conference on Data Mining, 2022
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?2112.12356v1 · Junxiang Wang, Xuchao Zhang, Bo Zong et al.2021 · 0 citationsarXiv
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph2112.00503v5 · Liyan Xu, Xuchao Zhang, Bo Zong et al.2021 · 3 citationsarXiv
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems2104.04107v1 · Liang Tong, Zhengzhang Chen, Jingchao Ni et al.2021 · 21 citationsarXiv
Unsupervised Document Embedding via Contrastive Augmentation2103.14542v1 · Dongsheng Luo, Wei Cheng, Jingchao Ni et al.2021 · 2 citationsarXiv
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series2103.02164v1 · Yinjun Wu, Jingchao Ni, Wei Cheng et al.2021 · 57 citationsarXiv
Learning to Drop: Robust Graph Neural Network via Topological Denoising2011.07057v1 · Dongsheng Luo, Wei Cheng, Wenchao Yu et al.2020 · 256 citationsarXiv
T-Net: A Semi-supervised Deep Model for Turbulence Forecasting2010.13903v1 · Denghui Zhang, Yanchi Liu, Wei Cheng et al.2020 · 2 citationsarXiv
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection2008.13361v1 · Zhiwei Wang, Zhengzhang Chen, Jingchao Ni et al.2020 · 66 citationsarXiv
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs2005.07427v2 · Lei Cai, Zhengzhang Chen, Chen Luo et al.2020 · 153 citationsarXiv
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation2001.04346v1 · Xin Dong, Jingchao Ni, Wei Cheng et al.2019 · 65 citationsAAAI 2020
Heterogeneous Graph Matching Networks1910.08074v1 · Shen Wang, Zhengzhang Chen, Xiao Yu et al.2019 · 5 citationsarXiv
Adversarial Defense Framework for Graph Neural Network1905.03679v2 · Shen Wang, Zhengzhang Chen, Jingchao Ni et al.2019 · 20 citationsarXiv
Attentional Heterogeneous Graph Neural Network: Application to Program Reidentification1812.04064v2 · Shen Wang, Zhengzhang Chen, Ding Li et al.2018 · 40 citationsarXiv
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data1811.08055v1 · Chuxu Zhang, Dongjin Song, Yuncong Chen et al.2018 · 902 citationsarXiv
ComClus: A Self-Grouping Framework for Multi-Network Clustering.30416320 · Ni, Jingchao, Cheng, Wei, Fan, Wei et al.2024 · 20 citationsIEEE transactions on knowledge and data engineering. 2018;30(3):435-448
Self-Grouping Multi-Network Clustering.28698713 · Ni, Jingchao, Cheng, Wei, Fan, Wei et al.2023 · 12 citationsProceedings. IEEE International Conference on Data Mining. 2016;2016:1119-1124
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model.27829360 · Ni, Jingchao, Koyuturk, Mehmet, Tong, Hanghang et al.2017 · 39 citationsBMC bioinformatics. 2016;17(1):453
Career total: 94 works. 41 are in this corpus.
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