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Chenjuan Guo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

52

Venues

15

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

52 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline.Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2026AAAITowards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing.Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2026ICDEAn Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data.Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang
2026KDDMoST: A Foundation Model for Multi-modality Spatio-temporal Traffic Prediction.Ronghui Xu, Jihao Chen, Jindong Tian, Chenjuan Guo, Bin Yang
2026WSDMWaterlogformer: A Multimodal Model for Waterlogging Prediction.Yinan Chen, Ronghui Xu, Endai Shu, Chenjuan Guo, Bin Yang
2025AAAIAssessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components.Tengxue Zhang, Yang Shu, Xinyang Chen, Yifei Long, Chenjuan Guo, Bin Yang
2025CIKMFinDJieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang
2025CIKMLand Deformation Prediction via Multi-modal Adaptive Association Learning.Wanghui Qiu, Shiyan Hu, Chenjuan Guo, Wenbing Shi, Lina Yu, Ming Gao, Aoying Zhou, Bin Yang
2025CVPREnhancing Diversity for Data-free Quantization.Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang
2025EMNLPMUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models.Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo
2025ICDEAimTS: Augmented Series and Image Contrastive Learning for Time Series Classification.Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo
2025ICDEAID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation.Xiuwen Li, Qifeng Cai, Yang Shu, Chenjuan Guo, Bin Yang
2025ICDEEasyTime: Time Series Forecasting Made Easy.Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025ICDEData Driven Decision Making with Time Series and Spatio-Temporal Data.Bin Yang, Yuxuan Liang, Chenjuan Guo, Christian S. Jensen
2025ICLRLearning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation.Sicong Liu, Yang Shu, Chenjuan Guo, Bin Yang
2025ICLRTowards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders.Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025ICLRAir Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems.Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang
2025ICLRCATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching.Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2025ICMLTowards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer.Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025ICMLLightGTS: A Lightweight General Time Series Forecasting Model.Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025ICMLK2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025KDDMM-Path: Multi-modal, Multi-granularity Path Representation Learning.Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang
2025KDDUnsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang
2025KDDTSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting.Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025KDDDUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2024CIKMOcean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models.Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024ECCVDependency-Aware Differentiable Neural Architecture Search.Buang Zhang, Xinle Wu, Hao Miao, Chenjuan Guo, Bin Yang
2024ICDEA Unified Replay-Based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data.Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Feiteng Huang, Jiandong Xie, Christian S. Jensen
2024ICDERouting with Massive Trajectory Data.Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp
2024ICLRPathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2023KDDLightPath: Lightweight and Scalable Path Representation Learning.Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2022ICDETowards Spatio- Temporal Aware Traffic Time Series Forecasting.Razvan-Gabriel Cirstea, Bin Yang, Chenjuan Guo, Tung Kieu, Shirui Pan
2022ICDEAnomaly Detection in Time Series with Robust Variational Quasi-Recurrent Autoencoders.Tung Kieu, Bin Yang, Chenjuan Guo, Razvan-Gabriel Cirstea, Yan Zhao, Yale Song, Christian S. Jensen
2022ICDERobust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection.Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
2022ICDEWeakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2022IJCAITriformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting.Razvan-Gabriel Cirstea, Chenjuan Guo, Bin Yang, Tung Kieu, Xuanyi Dong, Shirui Pan
2022KDDRetroGraph: Retrosynthetic Planning with Graph Search.Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
2022WWWOutlier Detection for Streaming Task Assignment in Crowdsourcing.Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen
2021ICDEEnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting.Razvan-Gabriel Cirstea, Tung Kieu, Chenjuan Guo, Bin Yang, Sinno Jialin Pan
2021IJCAIUnsupervised Path Representation Learning with Curriculum Negative Sampling.Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2020ICDEStochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
2020MDMA Correlated Time Series Forecast System.Nicolaj Casanova Abildgaard, Casper Weiss Bang, Jonas Hansen, Tobias Lambek Jacobsen, Thomas Hjriis Knudsen, Nichlas rts Lisby, Chenjuan Guo, Bin Yang
2019ICDEStochastic Weight Completion for Road Networks Using Graph Convolutional Networks.Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2019IJCAIOutlier Detection for Time Series with Recurrent Autoencoder Ensembles.Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018CIKMCorrelated Time Series Forecasting using Multi-Task Deep Neural Networks.Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, Bin Yang
2018CIKMDistinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories.Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2018ICDELearning to Route with Sparse Trajectory Sets.Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
2016EDBTFinding Frequently Visited Indoor POIs Using Symbolic Indoor Tracking Data.Hua Lu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2015ICDEPersonalized route recommendation using big trajectory data.Jian Dai, Bin Yang, Chenjuan Guo, Zhiming Ding
2015ICDEEcoSky: Reducing vehicular environmental impact through eco-routing.Chenjuan Guo, Bin Yang, Ove Andersen, Christian S. Jensen, Kristian Torp
2014ICDEStochastic skyline route planning under time-varying uncertainty.Bin Yang, Chenjuan Guo, Christian S. Jensen, Manohar Kaul, Shuo Shang
2011SIGMODPay-as-you-go mapping selection in dataspaces.Cornelia Hedeler, Khalid Belhajjame, Norman W. Paton, Alvaro A. A. Fernandes, Suzanne M. Embury, Lu Mao, Chenjuan Guo