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2020 – today
- 2024
[j19]Tianlong Xu
, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen:
Foundation Models for Education: Promises and Prospects. IEEE Intell. Syst. 39(3): 20-24 (2024)- [j18]Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan:
Rethinking self-supervised learning for time series forecasting: A temporal perspective. Knowl. Based Syst. 305: 112652 (2024) - [j17]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j16]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j15]Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. IEEE Trans. Knowl. Data Eng. 36(12): 8718-8729 (2024) - [j14]Nan Lu, Shu Liu, Qingsong Wen, Qiming Chen, Liang Sun, Yi Wang:
Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. IEEE Trans. Smart Grid 15(4): 4271-4283 (2024) - [j13]Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang:
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. IEEE Trans. Smart Grid 15(5): 4564-4575 (2024) - [c67]Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang:
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM 2024: 3352-3362 - [c66]Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen:
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CIKM 2024: 4966-4974 - [c65]Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun:
Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. CIKM 2024: 5410-5414 - [c64]Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu:
AI Agent for Information Retrieval: Generating and Ranking. CIKM 2024: 5605-5607 - [c63]Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun:
RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP 2024: 161-165 - [c62]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu:
Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP 2024: 7065-7069 - [c61]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE 2024: 747-760 - [c60]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:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c59]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR 2024 - [c58]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR 2024 - [c57]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c56]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR 2024 - [c55]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:
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 2024 - [c54]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR 2024 - [c53]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML 2024 - [c52]Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun:
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML 2024 - [c51]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. IJCAI 2024: 7554-7562 - [c50]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. KDD 2024: 266-277 - [c49]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD 2024: 631-641 - [c48]Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen:
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. KDD 2024: 4559-4570 - [c47]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c46]Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka:
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD 2024: 6733-6734 - [c45]Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang:
AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD 2024: 6743-6744 - [c44]Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen:
Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM 2024: 770-778 - [c43]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW 2024: 4006-4017 - [c42]Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen:
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW 2024: 4138-4149 - [i92]Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang:
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR abs/2401.05012 (2024) - [i91]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i90]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR abs/2402.02032 (2024) - [i89]Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen:
Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR abs/2402.02713 (2024) - [i88]Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen:
Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR abs/2402.04059 (2024) - [i87]Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo:
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR abs/2402.05956 (2024) - [i86]Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang:
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR abs/2402.11463 (2024) - [i85]Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang:
Generative Semi-supervised Graph Anomaly Detection. CoRR abs/2402.11887 (2024) - [i84]Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen:
Bringing Generative AI to Adaptive Learning in Education. CoRR abs/2402.14601 (2024) - [i83]Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi:
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR abs/2402.16913 (2024) - [i82]Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Debiasing Multimodal Large Language Models. CoRR abs/2403.05262 (2024) - [i81]Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan:
Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR abs/2403.09953 (2024) - [i80]Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, Kai Zheng, Yunjun Gao, Xiaofang Zhou, Yu Zheng:
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR abs/2403.14151 (2024) - [i79]Richard Jiarui Tong, Haoyang Li, Joleen Liang, Qingsong Wen:
Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions. CoRR abs/2403.14689 (2024) - [i78]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i77]Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR abs/2403.14949 (2024) - [i76]Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang:
UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction. CoRR abs/2403.16831 (2024) - [i75]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR abs/2403.17281 (2024) - [i74]Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen:
Large Language Models for Education: A Survey and Outlook. CoRR abs/2403.18105 (2024) - [i73]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen:
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i72]Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song:
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR abs/2405.10800 (2024) - [i71]Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen:
Foundation Models for Education: Promises and Prospects. CoRR abs/2405.10959 (2024) - [i70]Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang:
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR abs/2405.14252 (2024) - [i69]Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang:
CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR abs/2405.15145 (2024) - [i68]Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang:
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR abs/2405.16312 (2024) - [i67]Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR abs/2405.18910 (2024) - [i66]Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang:
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR abs/2406.03710 (2024) - [i65]Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin:
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR abs/2406.08487 (2024) - [i64]Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash:
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR abs/2406.08627 (2024) - [i63]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR abs/2406.10252 (2024) - [i62]Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren:
A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. CoRR abs/2406.11903 (2024) - [i61]Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen:
TSI-Bench: Benchmarking Time Series Imputation. CoRR abs/2406.12747 (2024) - [i60]Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen:
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR abs/2406.13885 (2024) - [i59]Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen:
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR abs/2407.11280 (2024) - [i58]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. CoRR abs/2408.04236 (2024) - [i57]Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen:
Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR abs/2408.10006 (2024) - [i56]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:
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. CoRR abs/2408.11381 (2024) - [i55]Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024) - [i54]Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen:
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. CoRR abs/2408.13727 (2024) - [i53]Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen:
Time Series Analysis for Education: Methods, Applications, and Future Directions. CoRR abs/2408.13960 (2024) - [i52]Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen:
Knowledge Tagging with Large Language Model based Multi-Agent System. CoRR abs/2409.08406 (2024) - [i51]Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen:
AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. CoRR abs/2409.09403 (2024) - [i50]Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. CoRR abs/2409.12169 (2024) - [i49]Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin:
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR abs/2409.16040 (2024) - [i48]Dalin Qin, Yehui Li, Weiqi Chen, Zhaoyang Zhu, Qingsong Wen, Liang Sun, Pierre Pinson, Yi Wang:
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. CoRR abs/2409.19718 (2024) - [i47]Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen:
Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR abs/2410.01677 (2024) - [i46]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:
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR abs/2410.04509 (2024) - [i45]Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang:
Toward Physics-guided Time Series Embedding. CoRR abs/2410.06651 (2024) - [i44]Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang:
Task-oriented Time Series Imputation Evaluation via Generalized Representers. CoRR abs/2410.06652 (2024) - [i43]Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i42]Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang:
Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. CoRR abs/2410.12206 (2024) - [i41]Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang:
NetSafe: Exploring the Topological Safety of Multi-agent Networks. CoRR abs/2410.15686 (2024) - 2023
- [j12]Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Xinyue Gu, Jin Wang, Qiming Chen, Linxiao Yang, Qingsong Wen, Liang Sun:
Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 44(4): 377-393 (2023) - [j11]Yi Wang, Chien-Fei Chen, Peng-Yong Kong, Husheng Li, Qingsong Wen:
A Cyber-Physical-Social Perspective on Future Smart Distribution Systems. Proc. IEEE 111(7): 694-724 (2023) - [j10]Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang:
MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 16(12): 3808-3821 (2023) - [j9]Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen:
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17(4): 766-779 (2023) - [j8]Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang:
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. 35(6): 6058-6072 (2023) - [j7]Chenxi Wang, Yangze Zhou, Qingsong Wen, Yi Wang:
Improving Load Forecasting Performance via Sample Reweighting. IEEE Trans. Smart Grid 14(4): 3317-3320 (2023) - [j6]Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqi Chen, Liang Sun, Yi Wang:
Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. IEEE Trans. Smart Grid 14(6): 4888-4901 (2023) - [j5]Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc:
A Global Modeling Framework for Load Forecasting in Distribution Networks. IEEE Trans. Smart Grid 14(6): 4927-4941 (2023) - [c41]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI 2023: 14329-14337 - [c40]Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang:
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI 2023: 15621-15629 - [c39]Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun:
eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. AAAI 2023: 15630-15638 - [c38]Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS 2023: 60:1-60:12 - [c37]Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun:
SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP 2023: 1-5 - [c36]Qingsong Wen, Linxiao Yang, Liang Sun:
Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP 2023: 1-5 - [c35]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. IJCAI 2023: 6778-6786 - [c34]Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. KDD 2023: 3033-3045 - [c33]Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka:
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD 2023: 5876-5877 - [c32]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao:
ADGym: Design Choices for Deep Anomaly Detection. NeurIPS 2023 - [c31]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS 2023 - [i40]Qingsong Wen, Linxiao Yang, Liang Sun:
Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR abs/2303.03553 (2023) - [i39]Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang:
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR abs/2303.03640 (2023) - [i38]Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan:
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR abs/2305.06587 (2023) - [i37]Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin:
Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR abs/2305.12095 (2023) - [i36]Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang:
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. CoRR abs/2306.01001 (2023) - [i35]Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun:
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events. CoRR abs/2306.08299 (2023) - [i34]Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan:
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i33]Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. CoRR abs/2306.10347 (2023) - [i32]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i31]Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang:
Benchmarks and Custom Package for Electrical Load Forecasting. CoRR abs/2307.07191 (2023) - [i30]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR abs/2307.08097 (2023) - [i29]Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun:
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR abs/2308.14906 (2023) - [i28]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR abs/2309.12659 (2023) - [i27]Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao:
ADGym: Design Choices for Deep Anomaly Detection. CoRR abs/2309.15376 (2023) - [i26]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:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i25]Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen:
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR abs/2310.05668 (2023) - [i24]Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong:
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR abs/2310.10196 (2023) - [i23]Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Lunting Fan, Lingfei Wu, Qingsong Wen:
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR abs/2310.16340 (2023) - [i22]Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
When Urban Region Profiling Meets Large Language Models. CoRR abs/2310.18340 (2023) - [i21]Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang:
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. CoRR abs/2311.09839 (2023) - [i20]Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng:
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR abs/2311.16191 (2023) - 2022
- [c30]Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CIKM 2022: 2497-2507 - [c29]Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun:
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CIKM 2022: 4510-4514 - [c28]Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun:
Netrca: An Effective Network Fault Cause Localization Algorithm. ICASSP 2022: 9316-9320 - [c27]Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang:
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE 2022: 2762-2775 - [c26]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML 2022: 27268-27286 - [c25]Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun:
Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. KDD 2022: 146-156 - [c24]Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun:
Robust Time Series Analysis and Applications: An Industrial Perspective. KDD 2022: 4836-4837 - [c23]Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan:
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS 2022 - [c22]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS 2022 - [i19]Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin:
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR abs/2201.12740 (2022) - [i18]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. CoRR abs/2202.07125 (2022) - [i17]Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun:
NetRCA: An Effective Network Fault Cause Localization Algorithm. CoRR abs/2202.11269 (2022) - [i16]Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc:
A Global Modeling Approach for Load Forecasting in Distribution Networks. CoRR abs/2204.00493 (2022) - [i15]Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang:
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR abs/2204.07197 (2022) - [i14]Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin:
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR abs/2205.08897 (2022) - [i13]Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun:
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CoRR abs/2206.02956 (2022) - [i12]Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin:
TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR abs/2206.12106 (2022) - [i11]Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun:
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CoRR abs/2210.09693 (2022) - [i10]Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan:
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR abs/2210.13005 (2022) - [i9]Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann:
AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR abs/2211.15979 (2022) - 2021
- [c21]Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke:
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CIKM 2021: 4373-4382 - [c20]Qingyang Xu, Qingsong Wen, Liang Sun:
Two-Stage Framework for Seasonal Time Series Forecasting. ICASSP 2021: 3530-3534 - [c19]Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun:
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. ICASSP 2021: 5085-5089 - [c18]Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. IJCAI 2021: 4653-4660 - [c17]Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. SIGMOD Conference 2021: 2328-2337 - [i8]Qingyang Xu, Qingsong Wen, Liang Sun:
Two-Stage Framework for Seasonal Time Series Forecasting. CoRR abs/2103.02144 (2021) - [i7]Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun:
A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. CoRR abs/2109.08800 (2021) - [i6]Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke:
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CoRR abs/2111.03753 (2021) - 2020
- [c16]Qingsong Wen, Zhengzhi Ma, Liang Sun:
On Robust Variance Filtering and Change of Variance Detection. ICASSP 2020: 3012-3016 - [c15]Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun:
Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. KDD 2020: 2203-2213 - [i5]Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu:
RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. CoRR abs/2002.09535 (2020) - [i4]Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu:
RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR abs/2002.09545 (2020) - [i3]Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu:
Time Series Data Augmentation for Deep Learning: A Survey. CoRR abs/2002.12478 (2020)
2010 – 2019
- 2019
- [c14]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI 2019: 5409-5416 - [c13]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan:
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. IJCAI 2019: 3856-3862 - [i2]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan:
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. CoRR abs/1906.03751 (2019) - 2018
- [i1]Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu:
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR abs/1812.01767 (2018) - 2017
- [c12]Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, Yinglong Xia:
Finding Top K Shortest Simple Paths with Improved Space Efficiency. GRADES@SIGMOD/PODS 2017: 13:1-13:6 - 2016
- [j4]Qingsong Wen, Xiaoli Ma:
Efficient Greedy LLL Algorithms for Lattice Decoding. IEEE Trans. Wirel. Commun. 15(5): 3560-3572 (2016) - [c11]Qingsong Wen, Xiaoli Ma:
Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection. ICASSP 2016: 3826-3830 - [c10]Qingsong Wen, Xiaoli Ma:
VLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection. ISCAS 2016: 1898-1901 - 2014
- [c9]Qingsong Wen, Qi Zhou, Xiaoli Ma:
An enhanced fixed-complexity LLL algorithm for MIMO detection. GLOBECOM 2014: 3231-3236 - [c8]Qingsong Wen, Xiaoli Ma:
An Efficient Greedy LLL Algorithm for MIMO Detection. MILCOM 2014: 550-555 - 2013
- [c7]Qingsong Wen, Qi Zhou, Chunming Zhao, Xiaoli Ma:
Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm. ICASSP 2013: 5031-5035 - 2012
- [c6]Qingsong Wen, Sungeun Lee, Xiaoli Ma:
Clipping effect on radiation pattern in downtilt beamforming. ACSCC 2012: 1873-1877 - [c5]Sungeun Lee, Xiaoli Ma, Qingsong Wen:
Transmitter-side timing adjustment to mitigate interference between multiple nodes for OFDMA mesh network. ACSCC 2012: 1957-1961 - 2010
- [j3]Qihui Liang, Qingsong Wen, Yue Xiao, Shaoqian Li:
Comparisons of SCR and Active-set Methods for PAPR Reduction in OFDM Systems. J. Networks 5(4): 451-458 (2010) - [j2]Su Hu, Gang Wu, Qingsong Wen, Yue Xiao, Shaoqian Li:
Nonlinearity Reduction by Tone Reservation with Null Subcarriers for WiMAX System. Wirel. Pers. Commun. 54(2): 289-305 (2010)
2000 – 2009
- 2008
- [c4]Xu He, Qingsong Wen, Yue Xiao, Shaoqian Li:
A Novel Method for Reducing the Side Information of MSR-OFDM System. AICT 2008: 404-407 - [c3]Qingsong Wen, Yue Xiao, Peng Cheng, Lilin Dan, Shaoqian Li:
A Modified Partial Transmit Sequence Scheme for PAPR Reduction in OFDM System. VTC Fall 2008: 1-5 - 2007
- [j1]Yue Xiao, Xia Lei, Qingsong Wen, Shaoqian Li:
A Class of Low Complexity PTS Techniques for PAPR Reduction in OFDM Systems. IEEE Signal Process. Lett. 14(10): 680-683 (2007) - [c2]Yue Xiao, Qingsong Wen, Xia Lei, Shaoqian Li:
Improved PTS for PAPR Reduction in OFDM Systems. AICT 2007: 37 - [c1]Lilin Dan, Qingsong Wen, Yue Xiao, Shaoqian Li:
A Novel User Grouping Scheme for PAPR Reduction in MC-CDMA System. VTC Fall 2007: 994-998
Coauthor Index
[j14] [c65] [c63] [c62] [c58] [c52] [c44] [i90] [i77] [i48] [i44] [j12] [j6] [c40] [c39] [c37] [c36] [c35] [c34] [c31] [i40] [i39] [i36] [i35] [i33] [i31] [i29] [i28] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i19] [i18] [i17] [i15] [i14] [i13] [i12] [i11] [i10] [c21] [c20] [c19] [c18] [c17] [i8] [i7] [i6] [c16] [c15] [i5] [i4] [i3] [c14] [c13] [i2] [i1]
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