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Qingsong Wen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

113

Venues

20

Active years

2007–2026

Best venue rank

A*

Where they publish

Papers

113 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAINeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang
2026AAAIAssemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation.Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026AAAIOccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2026AAAISafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication.Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen
2026ACLBackdoor Collapse: Eliminating Unknown Threats Via Known Backdoor Aggregation In Language Models.Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen
2026ACLHearSay Benchmark: Do Audio LLMs Leak What They Hear?Jin Wang, Kaiwen Luo, Liang Lin, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen
2026ACLARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code.Jian Xie, Zhendong Chu, Aoxiao Zhong, Kai Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen
2026ACLTime-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback.Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Stephen Wang, Joshua Thomas Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen
2026ACLErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2026ACLPosition: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2026ACLScaling Law for Multimodal Large Language Model Supervised Fine-Tuning.Yifan Zhang, Tao Yu, Feng Li, Chaoyou Fu, Yibo Hu, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2026AIEDCan MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math.Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen
2026KDDHow to Train Your Mamba for Time Series Forecasting.Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, Yuxuan Liang
2026KDDFrom Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions.Xiaolong Wang, Zhe Zhao, Song Lai, Chaoli Zhang, Zijie Geng, Yu Tong, Ye Wei, Qingsong Wen
2026KDDAdvanced Global Wildfire Activity Modeling with Hierarchical Graph ODE.Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao
2026KDDEmoRAG: Evaluating RAG Robustness to Symbolic Perturbations.Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, XiaoFeng Wang, Wei Dong
2026WSDMAGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems.Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025AAAIKnowledge Tagging with Large Language Model Based Multi-Agent System.Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen
2025AAAIUrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction.Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
2025AAAIUnlocking the Power of LSTM for Long Term Time Series Forecasting.Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2025AAAIAI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction.Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen
2025ACLAsk-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2025ACLTime-MQA: Time Series Multi-Task Question Answering with Context Enhancement.Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025ACLMathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025ACLA Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2025ACLNetSafe: Exploring the Topological Safety of Multi-agent System.Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Kun Wang, Qingsong Wen, Yang Wang
2025ADMARPGCN: Relational Probabilistic Graphs for EEG-Based Emotion Mining.Xinliang Zhou, Jianheng Zhou, Jiaping Xiao, Yingwei Zhang, Xiaoshuai Hao, Jing Wang, Badong Chen, Qingsong Wen
2025EMNLPLLM Agents for Education: Advances and Applications.Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025EMNLPUniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks.Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2025EMNLPDynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition.Hanjun Luo, Yingbin Jin, Yiran Wang, Xinfeng Li, Tong Shang, Xuecheng Liu, Ruizhe Chen, Kun Wang, Hanan Salam, Qingsong Wen, Zuozhu Liu
2025EMNLPPosition: LLMs Can be Good Tutors in English Education.Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025ICASSPTransfer Learning with Transformer and LSTM for Digital Pre-distortion of Terahertz/mmWave Transceiver.Gouheng Zhao, Kai Ying, Qingsong Wen, Junwen Zhang, Lin Gui
2025ICLRMME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2025ICLROpen-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics.Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang
2025ICLRTime-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2025ICMLOneForecast: A Universal Framework for Global and Regional Weather Forecasting.Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Ray Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang
2025ICMLTime-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025IJCAILearning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting.Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun
2025IJCAIDeep Learning for Multivariate Time Series Imputation: A Survey.Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2025KDDFRT: Flow-based Reconcile Transformer for Hierarchical Time Series.Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen
2025KDDA Survey on Deep Learning based Time Series Analysis with Frequency Transformation.Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025KDDFoundation Models for Spatio-Temporal Data Science: A Tutorial and Survey.Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025KDDSciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances.Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025KDDEMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition.Qiming Chen, Yingying Zhang, Qingsong Wen, Liang Sun
2025KDDAI for Supply Chain: Today and Future.Ranak Roy Chowdhury, Yan Liu, Huiming Qu, Qingsong Wen, Chen-Yu Lee, Narendra Agrawal, Alexis Roos
2025KDDPhysics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting.Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025KDDThe 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs.Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025KDDNoise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels.Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2025KDDThe 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025KDDDynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang
2025KDDA Survey on Trustworthy LLM Agents: Threats and Countermeasures.Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025WWWThe Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications.Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025WWWThe International Workshop on Spatio-Temporal Data Mining from the Web.Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng
2025WWWThe 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2024CIKMRCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models.Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2024CIKMAI Agent for Information Retrieval: Generating and Ranking.Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024CIKMAdvancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud.Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
2024CIKMHiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024EMNLPRAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation.Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen
2024ICASSPSkip-Step Contrastive Predictive Coding for Time Series Anomaly Detection.Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
2024ICASSPRobustTSVar: A Robust Time Series Variance Estimation Algorithm.Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun
2024ICDELearning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024ICLRTime-LLM: Time Series Forecasting by Reprogramming Large Language Models.Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen
2024ICLRRobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies.Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
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
2024ICLRExplaining Time Series via Contrastive and Locally Sparse Perturbations.Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024ICLRCARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2024ICLREasyTPP: Towards Open Benchmarking Temporal Point Processes.Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei
2024ICLROnline GNN Evaluation Under Test-time Graph Distribution Shifts.Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
2024ICMLPosition: What Can Large Language Models Tell Us about Time Series Analysis.Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024ICMLBayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition.Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun
2024IJCAIPredicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach.Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024KDDCluster-Wide Task Slowdown Detection in Cloud System.Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024KDDHeterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024KDDFoundation Models for Time Series Analysis: A Tutorial and Survey.Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024KDDThe 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs.Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2024KDDAI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024KDDLogParser-LLM: Advancing Efficient Log Parsing with Large Language Models.Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024WWWLARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection.Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
2024WWWUrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web.Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024SDMStable Synthetic Control with Anomaly Detection for Causal Inference.Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
2023AAAIAirFormer: Predicting Nationwide Air Quality in China with Transformers.Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2023AAAIAHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes.Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
2023AAAIeForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms.Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun
2023ICASSPSADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events.Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
2023ICASSPRobust Dominant Periodicity Detection for Time Series with Missing Data.Qingsong Wen, Linxiao Yang, Liang Sun
2023IJCAITransformers in Time Series: A Survey.Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2023KDDThe 9th SIGKDD International Workshop on Mining and Learning from Time Series.Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023KDDDCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection.Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022CIKMRobust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection.Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
2022CIKMTFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis.Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022ICASSPNetrca: An Effective Network Fault Cause Localization Algorithm.Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
2022ICDERobustScaler: QoS-Aware Autoscaling for Complex Workloads.Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
2022ICMLFEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting.Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022KDDLearning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting.Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun
2022KDDRobust Time Series Analysis and Applications: An Industrial Perspective.Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun
2021CIKMCloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms.Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
2021ICASSPTwo-Stage Framework for Seasonal Time Series Forecasting.Qingyang Xu, Qingsong Wen, Liang Sun
2021ICASSPA Robust and Efficient Multi-Scale Seasonal-Trend Decomposition.Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
2021IJCAITime Series Data Augmentation for Deep Learning: A Survey.Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2021SIGMODRobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection.Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2020ICASSPOn Robust Variance Filtering and Change of Variance Detection.Qingsong Wen, Zhengzhi Ma, Liang Sun
2020KDDFast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns.Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun
2019AAAIRobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series.Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2019IJCAIRobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering.Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
2016ICASSPFixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection.Qingsong Wen, Xiaoli Ma
2016ISCASVLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection.Qingsong Wen, Xiaoli Ma
2014GLOBECOMAn enhanced fixed-complexity LLL algorithm for MIMO detection.Qingsong Wen, Qi Zhou, Xiaoli Ma
2013ICASSPFixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm.Qingsong Wen, Qi Zhou, Chunming Zhao, Xiaoli Ma
2012ACSSCTransmitter-side timing adjustment to mitigate interference between multiple nodes for OFDMA mesh network.Sungeun Lee, Xiaoli Ma, Qingsong Wen
2012ACSSCClipping effect on radiation pattern in downtilt beamforming.Qingsong Wen, Sungeun Lee, Xiaoli Ma
2008VTCA Modified Partial Transmit Sequence Scheme for PAPR Reduction in OFDM System.Qingsong Wen, Yue Xiao, Peng Cheng, Lilin Dan, Shaoqian Li
2007VTCA Novel User Grouping Scheme for PAPR Reduction in MC-CDMA System.Lilin Dan, Qingsong Wen, Yue Xiao, Shaoqian Li