Qingsong Wen - RankMe

330 papers A* 64A 8B 1C 1Misc 11Journal 205Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. ACM Comput. Surv. Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Shirui Pan, Qingsong Wen
2026	—	`conf`	Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE. KDD (1) Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao
2026	J	`jnl`	Advanced Global Wildfire Activity Modeling with Hierarchical Graph ODE. CoRR Fan Xu, Wei Gong, Hao Wu, Lilan Peng, Nan Wang, Qingsong Wen, Xian Wu, Kun Wang, Xibin Zhao
2026	A*	`conf`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. AAAI Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026	J	`jnl`	Beyond LLaVA-HD: Diving Into High-Resolution Multimodal Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhang, Qingsong Wen, Chaoyou Fu, Kun Wang, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
2026	J	`jnl`	Breaking the Regional Barrier: Inductive Semantic Topology Learning for Worldwide Air Quality Forecasting. CoRR Zhiqing Cui, Siru Zhong, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2026	J	`jnl`	Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math. CoRR Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen
2026	J	`jnl`	ChronosAudio: A Comprehensive Long-Audio Benchmark for Evaluating Audio-Large Language Models. CoRR Kaiwen Luo, Liang Lin, Yibo Zhang, Moayad Aloqaily, Dexian Wang, Zhenhong Zhou, Junwei Zhang, Kun Wang, Li Sun, Qingsong Wen
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	J	`jnl`	Deep Time-series Forecasting Needs Kernelized Moment Balancing. CoRR Licheng Pan, Hao Wang, Haocheng Yang, Yuqi Li, Qingsong Wen, Xiaoxi Li, Zhichao Chen, Haoxuan Li, Zhixuan Chu, Yuan Lu
2026	J	`jnl`	Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models. CoRR Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2026	J	`jnl`	DropoutTS: Sample-Adaptive Dropout for Robust Time Series Forecasting. CoRR Siru Zhong, Yiqiu Liu, Zhiqing Cui, Zezhi Shao, Fei Wang, Qingsong Wen, Yuxuan Liang
2026	—	`conf`	EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations. KDD (1) Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, Xiaofeng Wang, Wei Dong
2026	J	`jnl`	Evaluating LLMs in Finance Requires Explicit Bias Consideration. CoRR Yaxuan Kong, Hoyoung Lee, Yoontae Hwang, Alejandro Lopez-Lira, Bradford Levy, Dhagash Mehta, Qingsong Wen, Chanyeol Choi, Yongjae Lee, Stefan Zohren
2026	—	`conf`	From Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions. KDD (1) Xiaolong Wang, Zhe Zhao, Song Lai, Chaoli Zhang, Zijie Geng, Yu Tong, Ye Wei, Qingsong Wen
2026	J	`jnl`	HearSay Benchmark: Do Audio LLMs Leak What They Hear? CoRR Jin Wang, Liang Lin, Kaiwen Luo, Weiliu Wang, Yitian Chen, Moayad Aloqaily, Xuehai Tang, Zhenhong Zhou, Kun Wang, Li Sun, Qingsong Wen
2026	—	`conf`	How to Train Your Mamba for Time Series Forecasting. KDD (1) Jiaxi Hu, Disen Lan, Ziyu Zhou, Gefeng Luo, Qingsong Wen, Yuxuan Liang
2026	J	`jnl`	It's TIME: Towards the Next Generation of Time Series Forecasting Benchmarks. CoRR Zhongzheng Qiao, Sheng Pan, Anni Wang, Viktoriya Zhukova, Yong Liu, Xudong Jiang, Qingsong Wen, Mingsheng Long, Ming Jin, Chenghao Liu
2026	J	`jnl`	MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents. CoRR Zhenhong Zhou, Yuanhe Zhang, Hongwei Cai, Moayad Aloqaily, Ouns Bouachir, Linsey Pang, Prakhar Mehrotra, Kun Wang, Qingsong Wen
2026	A*	`conf`	NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation. AAAI Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang
2026	A*	`conf`	OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. AAAI Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2026	J	`jnl`	Parallel Complex Diffusion for Scalable Time Series Generation. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Zhiqiang Ge, Qingsong Wen, Yong Liu
2026	J	`jnl`	RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty. CoRR Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun
2026	J	`jnl`	SafeSeek: Universal Attribution of Safety Circuits in Language Models. CoRR Miao Yu, Siyuan Fu, Moayad Aloqaily, Zhenhong Zhou, Safa Otoum, Xing Fan, Kun Wang, Yufei Guo, Qingsong Wen
2026	A*	`conf`	SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. AAAI Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen
2026	J	`jnl`	TS-Memory: Plug-and-Play Memory for Time Series Foundation Models. CoRR Sisuo Lyu, Siru Zhong, Tiegang Chen, Weilin Ruan, Qingxiang Liu, Taiqiang Lv, Qingsong Wen, Raymond Chi-Wing Wong, Yuxuan Liang
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu
2025	—	`conf`	A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. ACL (Findings) Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2025	—	`conf`	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. KDD (2) Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025	J	`jnl`	A Survey on Post-training of Large Language Models. CoRR Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025	—	`conf`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. KDD (2) Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025	J	`jnl`	A Survey on Trustworthy LLM Agents: Threats and Countermeasures. CoRR Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025	—	`conf`	AI for Supply Chain: Today and Future. KDD (2) Ranak Roy Chowdhury, Yan Liu, Huiming Qu, Qingsong Wen, Chen-Yu Lee, Narendra Agrawal, Alexis Roos
2025	A*	`conf`	AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. AAAI Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen
2025	J	`jnl`	ARM2: Adaptive Reasoning Model with Vision Understanding and Executable Code. CoRR Jian Xie, Zhendong Chu, Aoxiao Zhong, Kaiyi Zhang, Mingzhe Han, Xing Fan, Jialie Shen, Qingsong Wen
2025	J	`jnl`	Advanced long-term earth system forecasting by learning the small-scale nature. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Kun Wang, Ruijian Gou, Chuhan Wu, Xinliang Liu, Juncai He, Shuhao Cao, Junfeng Fang, Xingjian Shi, Feng Tao, Qi Song, Shengxuan Ji, Yanfei Xiang, Yuze Sun, Jiahao Li, Fan Xu, Huanshuo Dong, Haixin Wang, Fan Zhang, Penghao Zhao, Xian Wu, Qingsong Wen, Deliang Chen, Xiaomeng Huang
2025	J	`jnl`	AgentSafe: Safeguarding Large Language Model-based Multi-agent Systems via Hierarchical Data Management. CoRR Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, Qingsong Wen
2025	J	`jnl`	Aligning Multimodal LLM with Human Preference: A Survey. CoRR Tao Yu, Yifan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan
2025	J	`jnl`	Analysis and Behavioral Modeling Using Augmented Transformer for Satellite Communication Power Amplifiers. IEEE Internet Things J. Gouheng Zhao, Kai Ying, Qingsong Wen, Linshan Zhao, Jian Pang, Pengcheng Jia, Ming Zhou, Lin Gui
2025	—	`conf`	Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. ACL (1) Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2025	J	`jnl`	Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation. CoRR Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2025	J	`jnl`	Automating Personalization: Prompt Optimization for Recommendation Reranking. CoRR Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025	J	`jnl`	Backdoor Attribution: Elucidating and Controlling Backdoor in Language Models. CoRR Miao Yu, Zhenhong Zhou, Moayad Aloqaily, Kun Wang, Biwei Huang, Stephen Wang, Yueming Jin, Qingsong Wen
2025	J	`jnl`	Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models. CoRR Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen
2025	J	`jnl`	Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery. CoRR Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen
2025	J	`jnl`	Brain Foundation Models: A survey on advancements in neural signal processing and brain discovery. IEEE Signal Process. Mag. Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen
2025	J	`jnl`	CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series. CoRR Yutong Xia, Yingying Zhang, Yuxuan Liang, Lunting Fan, Qingsong Wen, Roger Zimmermann
2025	J	`jnl`	Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs. CoRR Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
2025	J	`jnl`	Causal Time Series Generation via Diffusion Models. CoRR Yutong Xia, Chang Xu, Yuxuan Liang, Qingsong Wen, Roger Zimmermann, Jiang Bian
2025	J	`jnl`	Comba: Improving Bilinear RNNs with Closed-loop Control. CoRR Jiaxi Hu, Yongqi Pan, Jusen Du, Disen Lan, Xiaqiang Tang, Qingsong Wen, Yuxuan Liang, Weigao Sun
2025	J	`jnl`	Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction. CoRR Jingheng Ye, Shang Qin, Yinghui Li, Hai-Tao Zheng, Shen Wang, Qingsong Wen
2025	—	`conf`	Cross-Domain Conditional Diffusion Models for Time Series Imputation. ECML/PKDD (8) Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025	J	`jnl`	Cross-Domain Conditional Diffusion Models for Time Series Imputation. CoRR Kexin Zhang, Baoyu Jing, K. Selçuk Candan, Dawei Zhou, Qingsong Wen, Han Liu, Kaize Ding
2025	J	`jnl`	CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. CoRR Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang
2025	J	`jnl`	DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series. IEEE Trans. Knowl. Data Eng. Zahra Zamanzadeh Darban, Yiyuan Yang, Geoffrey I. Webb, Charu C. Aggarwal, Qingsong Wen, Shirui Pan, Mahsa Salehi
2025	A*	`conf`	Debiasing Multimodal Large Language Models via Penalization of Language Priors. ACM Multimedia Yifan Zhang, Yang Shi, Weichen Yu, Qingsong Wen, Xue Wang, Wenjing Yang, Zhang Zhang, Liang Wang, Rong Jin
2025	J	`jnl`	Deciding When to Use a Personalized Model for Load Forecasting. IEEE Trans. Smart Grid Dalin Qin, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Yi Wang
2025	A*	`conf`	Deep Learning for Multivariate Time Series Imputation: A Survey. IJCAI Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2025	J	`jnl`	Differential-Integral Neural Operator for Long-Term Turbulence Forecasting. CoRR Hao Wu, Yuan Gao, Fan Xu, Fan Zhang, Qingsong Wen, Kun Wang, Xiaomeng Huang, Xian Wu
2025	J	`jnl`	DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models. CoRR Zherui Li, Zheng Nie, Zhenhong Zhou, Yufei Guo, Yue Liu, Yitong Zhang, Yu Cheng, Qingsong Wen, Kun Wang, Jiaheng Zhang
2025	J	`jnl`	DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zhichao Chen, Haoxuan Li, Qingsong Wen, Zhouchen Lin
2025	—	`conf`	DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. KDD (1) Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Yuxuan Liang, Yu Zheng, Qingsong Wen, Kun Wang
2025	A*	`conf`	DynamicNER: A Dynamic, Multilingual, and Fine-Grained Dataset for LLM-based Named Entity Recognition. EMNLP Hanjun Luo, Yingbin Jin, Yiran Wang, Xinfeng Li, Tong Shang, Xuecheng Liu, Ruizhe Chen, Kun Wang, Hanan Salam, Qingsong Wen, Zuozhu Liu
2025	—	`conf`	EMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition. KDD (2) Qiming Chen, Yingying Zhang, Qingsong Wen, Liang Sun
2025	J	`jnl`	EmoRAG: Evaluating RAG Robustness to Symbolic Perturbations. CoRR Xinyun Zhou, Xinfeng Li, Yinan Peng, Ming Xu, Xuanwang Zhang, Miao Yu, Yidong Wang, Xiaojun Jia, Kun Wang, Qingsong Wen, Xiaofeng Wang, Wei Dong
2025	J	`jnl`	Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models. CoRR Xu Liu, Taha Aksu, Juncheng Liu, Qingsong Wen, Yuxuan Liang, Caiming Xiong, Silvio Savarese, Doyen Sahoo, Junnan Li, Chenghao Liu
2025	J	`jnl`	FEANEL: A Benchmark for Fine-Grained Error Analysis in K-12 English Writing. CoRR Jingheng Ye, Shen Wang, Jiaqi Chen, Hebin Wang, Deqing Zou, Yanyu Zhu, Jiwei Tang, Hai-Tao Zheng, Ruitong Liu, Haoyang Li, Yanfeng Wang, Qingsong Wen
2025	—	`conf`	FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. KDD (2) Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen
2025	—	`conf`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. KDD (2) Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong
2025	J	`jnl`	From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education. CoRR Yifan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen
2025	J	`jnl`	From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation. CoRR Rongyao Cai, Ming Jin, Qingsong Wen, Kexin Zhang
2025	J	`jnl`	From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? CoRR Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Zhigang Deng, Qingsong Wen, Jingchao Ni
2025	J	`jnl`	How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash
2025	—	`conf`	IEEE AI Standards for Agentic Systems. CAI Richard Jiarui Tong, Haoyang Li, Sridhar Raghavan, Qingsong Wen, Shannon Gray, Anand Paul, Joleen Liang, Janusz Zalewski, Yacheng Yang, George Tambouratzis, Bong Chong Ang
2025	A*	`conf`	Knowledge Tagging with Large Language Model Based Multi-Agent System. AAAI Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen
2025	J	`jnl`	LAG: LLM agents for Leaderboard Auto Generation on Demanding. CoRR Jian Wu, Jiayu Zhang, Dongyuan Li, Linyi Yang, Aoxiao Zhong, Renhe Jiang, Qingsong Wen, Yue Zhang
2025	—	`conf`	LLM Agents for Education: Advances and Applications. EMNLP (Findings) Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM Agents for Education: Advances and Applications. CoRR Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jinheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models. CoRR Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen
2025	J	`jnl`	Large Language Models for Education: A survey and outlook. IEEE Signal Process. Mag. Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2025	A*	`conf`	Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. IJCAI Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun
2025	A*	`conf`	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2025	—	`conf`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. ACL (6) Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025	J	`jnl`	Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting. CoRR Ziyu Zhou, Jiaxi Hu, Qingsong Wen, James T. Kwok, Yuxuan Liang
2025	J	`jnl`	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. CoRR Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2025	J	`jnl`	Multimodal AI Teacher: Integrating Edge Computing and Reasoning Models for Enhanced Student Error Analysis. AI Mag. Tianlong Xu, Yifan Zhang, Zhendong Chu, Qingsong Wen
2025	A*	`conf`	Multimodal Learning for Spatio-Temporal Data Mining. ACM Multimedia Siru Zhong, Xixuan Hao, Hao Miao, Yan Zhao, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2025	—	`conf`	NetSafe: Exploring the Topological Safety of Multi-agent System. ACL (Findings) Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Kun Wang, Qingsong Wen, Yang Wang
2025	J	`jnl`	NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation. CoRR Yuan Gao, Ruiqi Shu, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Qingsong Wen, Xian Wu, Xiaomeng Huang
2025	—	`conf`	Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. KDD (1) Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2025	J	`jnl`	Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels. CoRR Yaxuan Wang, Hao Cheng, Jing Xiong, Qingsong Wen, Han Jia, Ruixuan Song, Liyuan Zhang, Zhaowei Zhu, Yang Liu
2025	J	`jnl`	OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. CoRR Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2025	A*	`conf`	OneForecast: A Universal Framework for Global and Regional Weather Forecasting. ICML 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
2025	J	`jnl`	OneForecast: A Universal Framework for Global and Regional Weather Forecasting. CoRR Yuan Gao, Hao Wu, Ruiqi Shu, Huanshuo Dong, Fan Xu, Rui Chen, Yibo Yan, Qingsong Wen, Xuming Hu, Kun Wang, Jiahao Wu, Qing Li, Hui Xiong, Xiaomeng Huang
2025	A*	`conf`	Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics. ICLR Zaige Fei, Fan Xu, Junyuan Mao, Yuxuan Liang, Qingsong Wen, Kun Wang, Hao Wu, Yang Wang
2025	—	`conf`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. KDD (2) Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. CoRR Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Position: Empowering Time Series Reasoning with Multimodal LLMs. CoRR Yaxuan Kong, Yiyuan Yang, Shiyu Wang, Chenghao Liu, Yuxuan Liang, Ming Jin, Stefan Zohren, Dan Pei, Yan Liu, Qingsong Wen
2025	A*	`conf`	Position: LLMs Can be Good Tutors in English Education. EMNLP Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025	J	`jnl`	Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning. CoRR Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2025	J	`jnl`	PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting. CoRR Runyao Yu, Chenhui Gu, Jochen Stiasny, Qingsong Wen, Wasim Sarwar Dilov, Lianlian Qi, Jochen L. Cremer
2025	J	`jnl`	Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models. CoRR Hao Wang, Licheng Pan, Yuan Lu, Zhichao Chen, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. CoRR Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2025	—	`conf`	RPGCN: Relational Probabilistic Graphs for EEG-Based Emotion Mining. ADMA (1) Xinliang Zhou, Jianheng Zhou, Jiaping Xiao, Yingwei Zhang, Xiaoshuai Hao, Jing Wang, Badong Chen, Qingsong Wen
2025	J	`jnl`	SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters. CoRR ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni
2025	J	`jnl`	SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication. CoRR Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen
2025	—	`conf`	SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances. KDD (2) Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025	J	`jnl`	ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models. CoRR Bosong Huang, Ming Jin, Yuxuan Liang, Johan Barthelemy, Debo Cheng, Qingsong Wen, Chenghao Liu, Shirui Pan
2025	J	`jnl`	Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu
2025	—	`conf`	The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs. KDD (2) Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025	—	`conf`	The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. WWW (Companion Volume) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	—	`conf`	The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. KDD (2) Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025	A*	`conf`	The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework. ACM Multimedia Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong
2025	J	`jnl`	The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework. CoRR Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong
2025	—	`conf`	The International Workshop on Spatio-Temporal Data Mining from the Web. WWW (Companion Volume) Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng
2025	J	`jnl`	The Procrustean Bed of Time Series: The Optimization Bias of Point-wise Loss. CoRR Rongyao Cai, Yuxi Wan, Kexin Zhang, Ming Jin, Hao Wang, Zhiqiang Ge, Daoyi Dong, Yong Li, Qingsong Wen
2025	—	`conf`	The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. WWW (Companion Volume) Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen
2025	J	`jnl`	Time Evidence Fusion Network: Multi-Source View in Long-Term Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. Tianxiang Zhan, Yuanpeng He, Yong Deng, Zhen Li, Wenjie Du, Qingsong Wen
2025	—	`conf`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. ACL (1) Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	J	`jnl`	Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. CoRR Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen
2025	A*	`conf`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. ICLR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2025	J	`jnl`	Time-RA: Towards Time Series Reasoning for Anomaly with LLM Feedback. CoRR Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Zhiguang Wang, Tom Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen
2025	A*	`conf`	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. ICML Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. CoRR Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	TimeOmni-1: Incentivizing Complex Reasoning with Time Series in Large Language Models. CoRR Tong Guan, Zijie Meng, Dianqi Li, Shiyu Wang, Chao-Han Huck Yang, Qingsong Wen, Zuozhu Liu, Sabato Marco Siniscalchi, Ming Jin, Shirui Pan
2025	J	`jnl`	Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems. CoRR Jiaxi Yang, Mengqi Zhang, Yiqiao Jin, Hao Chen, Qingsong Wen, Lu Lin, Yi He, Weijie Xu, James Evans, Jindong Wang
2025	J	`jnl`	Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Guangsi Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, Flora D. Salim, Liang Zhao, Lingfei Wu, Qingsong Wen, Shirui Pan
2025	Misc	`conf`	Transfer Learning with Transformer and LSTM for Digital Pre-distortion of Terahertz/mmWave Transceiver. ICASSP Gouheng Zhao, Kai Ying, Qingsong Wen, Junwen Zhang, Lin Gui
2025	J	`jnl`	Turb-L1: Achieving Long-term Turbulence Tracing By Tackling Spectral Bias. CoRR Hao Wu, Yuan Gao, Ruiqi Shu, Zean Han, Fan Xu, Zhihong Zhu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang
2025	J	`jnl`	UniEDU: A Unified Language and Vision Assistant for Education Applications. CoRR Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2025	—	`conf`	UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks. EMNLP (Industry Track) Zhendong Chu, Jian Xie, Shen Wang, Zichao Wang, Qingsong Wen
2025	J	`jnl`	Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation. CoRR Fan Xu, Hao Wu, Kun Wang, Nan Wang, Qingsong Wen, Xian Wu, Wei Gong, Xibin Zhao
2025	A*	`conf`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. AAAI Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2025	J	`jnl`	Urban-R1: Reinforced MLLMs Mitigate Geospatial Biases for Urban General Intelligence. CoRR Qiongyan Wang, Xingchen Zou, Yutian Jiang, Haomin Wen, Jiaheng Wei, Qingsong Wen, Yuxuan Liang
2025	A*	`conf`	UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction. AAAI Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
2025	J	`jnl`	VISION: Prompting Ocean Vertical Velocity Reconstruction from Incomplete Observations. CoRR Yuan Gao, Hao Wu, Qingsong Wen, Kun Wang, Xian Wu, Xiaomeng Huang
2024	J	`jnl`	A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges. CoRR Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, Stefan Zohren
2024	J	`jnl`	A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. CoRR Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu
2024	J	`jnl`	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR 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
2024	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2024	A	`conf`	AI Agent for Information Retrieval: Generating and Ranking. CIKM Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024	A*	`conf`	AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. KDD Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024	J	`jnl`	AI-Driven Virtual Teacher for Enhanced Educational Efficiency: Leveraging Large Pretrain Models for Autonomous Error Analysis and Correction. CoRR Tianlong Xu, Yifan Zhang, Zhendong Chu, Shen Wang, Qingsong Wen
2024	J	`jnl`	Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. CoRR Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang
2024	J	`jnl`	Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2024	A	`conf`	Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. CIKM Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
2024	J	`jnl`	Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions. CoRR Hang Li, Tianlong Xu, Kaiqi Yang, Yucheng Chu, Yanling Chen, Yichi Song, Qingsong Wen, Hui Liu
2024	A*	`conf`	Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. NeurIPS Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective. CoRR Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
2024	A*	`conf`	AutoSurvey: Large Language Models Can Automatically Write Surveys. NeurIPS 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
2024	J	`jnl`	AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR 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
2024	J	`jnl`	Automate Knowledge Concept Tagging on Math Questions with LLMs. CoRR Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
2024	A*	`conf`	BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun
2024	J	`jnl`	Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
2024	J	`jnl`	Bringing Generative AI to Adaptive Learning in Education. CoRR Hang Li, Tianlong Xu, Chaoli Zhang, Eason Chen, Jing Liang, Xing Fan, Haoyang Li, Jiliang Tang, Qingsong Wen
2024	A*	`conf`	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2024	A*	`conf`	Cluster-Wide Task Slowdown Detection in Cloud System. KDD Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024	J	`jnl`	Cluster-Wide Task Slowdown Detection in Cloud System. CoRR Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024	A*	`conf`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. NeurIPS Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	J	`jnl`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	J	`jnl`	Debiasing Multimodal Large Language Models. CoRR Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2024	J	`jnl`	Deep Learning for Multivariate Time Series Imputation: A Survey. CoRR Jun Wang, Wenjie Du, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen
2024	J	`jnl`	Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond. CoRR 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
2024	J	`jnl`	Developing and Deploying Industry Standards for Artificial Intelligence in Education (AIED): Challenges, Strategies, and Future Directions. CoRR Richard Jiarui Tong, Haoyang Li, Joleen Liang, Qingsong Wen
2024	A*	`conf`	EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 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
2024	J	`jnl`	ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection. CoRR 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
2024	J	`jnl`	Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts. CoRR Dalin Qin, Yehui Li, Weiqi Chen, Zhaoyang Zhu, Qingsong Wen, Liang Sun, Pierre Pinson, Yi Wang
2024	A*	`conf`	Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024	J	`jnl`	Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
2024	J	`jnl`	Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads. IEEE Trans. Smart Grid Nan Lu, Shu Liu, Qingsong Wen, Qiming Chen, Liang Sun, Yi Wang
2024	J	`jnl`	FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR 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
2024	J	`jnl`	Foundation Models for Education: Promises and Prospects. CoRR Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen
2024	J	`jnl`	Foundation Models for Education: Promises and Prospects. IEEE Intell. Syst. Tianlong Xu, Richard Jiarui Tong, Jing Liang, Xing Fan, Haoyang Li, Qingsong Wen
2024	A*	`conf`	Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	J	`jnl`	Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen
2024	A*	`conf`	Generative Semi-supervised Graph Anomaly Detection. NeurIPS Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024	J	`jnl`	Generative Semi-supervised Graph Anomaly Detection. CoRR Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024	J	`jnl`	GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network. CoRR Weiqi Chen, Zhiqiang Zhou, Qingsong Wen, Liang Sun
2024	A*	`conf`	Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. KDD Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024	J	`jnl`	Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. CoRR Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024	J	`jnl`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting. CoRR Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	A	`conf`	HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. CIKM Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024	J	`jnl`	Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen
2024	J	`jnl`	Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever. CoRR Hang Li, Tianlong Xu, Jiliang Tang, Qingsong Wen
2024	J	`jnl`	Knowledge Tagging with Large Language Model based Multi-Agent System. CoRR Hang Li, Tianlong Xu, Ethan Chang, Qingsong Wen
2024	A*	`conf`	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW Feiyi Chen, Zhen Qin, MengChu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
2024	J	`jnl`	Large Language Models for Education: A Survey and Outlook. CoRR Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
2024	A*	`conf`	Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. ICDE Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024	J	`jnl`	Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. IEEE Trans. Smart Grid Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang
2024	A*	`conf`	LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. KDD Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024	J	`jnl`	LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. CoRR Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
2024	J	`jnl`	LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. CoRR Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang
2024	J	`jnl`	LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. IEEE Trans. Knowl. Data Eng. Huanyu Zhang, Yifan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang
2024	J	`jnl`	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR 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
2024	J	`jnl`	Mind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia. CoRR Miao Yu, Junyuan Mao, Guibin Zhang, Jingheng Ye, Junfeng Fang, Aoxiao Zhong, Yang Liu, Yuxuan Liang, Kun Wang, Qingsong Wen
2024	J	`jnl`	NetSafe: Exploring the Topological Safety of Multi-agent Networks. CoRR Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang Wang
2024	J	`jnl`	Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. Proc. VLDB Endow. Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan
2024	A*	`conf`	Online GNN Evaluation Under Test-time Graph Distribution Shifts. ICLR Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
2024	J	`jnl`	Online GNN Evaluation Under Test-time Graph Distribution Shifts. CoRR Xin Zheng, Dongjin Song, Qingsong Wen, Bo Du, Shirui Pan
2024	J	`jnl`	PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
2024	A*	`conf`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. ICLR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting. CoRR Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. CoRR Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	A*	`conf`	Position: What Can Large Language Models Tell Us about Time Series Analysis. ICML Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen
2024	A*	`conf`	Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. IJCAI Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	J	`jnl`	Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach. CoRR Huaiwu Zhang, Yutong Xia, Siru Zhong, Kun Wang, Zekun Tong, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	—	`conf`	RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. EMNLP (System Demonstrations) 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
2024	J	`jnl`	RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. CoRR 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
2024	A	`conf`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CIKM Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2024	J	`jnl`	RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems. Proc. VLDB Endow. Biao Ouyang, Yingying Zhang, Hanyin Cheng, Yang Shu, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan, Christian S. Jensen
2024	J	`jnl`	Rethinking self-supervised learning for time series forecasting: A temporal perspective. Knowl. Based Syst. Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan
2024	A*	`conf`	RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
2024	J	`jnl`	RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
2024	Misc	`conf`	RobustTSVar: A Robust Time Series Variance Estimation Algorithm. ICASSP Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	Misc	`conf`	Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. ICASSP Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu
2024	A	`conf`	Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR 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
2024	A*	`conf`	Task-oriented Time Series Imputation Evaluation via Generalized Representers. NeurIPS Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang
2024	J	`jnl`	Task-oriented Time Series Imputation Evaluation via Generalized Representers. CoRR Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang
2024	A*	`conf`	The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2024	J	`jnl`	Time Series Analysis for Education: Methods, Applications, and Future Directions. CoRR Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen
2024	A*	`conf`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. NeurIPS Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting. CoRR Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
2024	A*	`conf`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 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
2024	J	`jnl`	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. NeurIPS Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin
2024	J	`jnl`	Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting. CoRR Jiaxi Hu, Disen Lan, Ziyu Zhou, Qingsong Wen, Yuxuan Liang
2024	J	`jnl`	Toward Physics-guided Time Series Embedding. CoRR Jiaxi Hu, Bowen Zhang, Qingsong Wen, Fugee Tsung, Yuxuan Liang
2024	J	`jnl`	TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecasting. CoRR Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li Liu, Yuxuan Liang
2024	J	`jnl`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2024	A*	`conf`	UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. WWW Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2024	J	`jnl`	UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction. CoRR Xixuan Hao, Wei Chen, Yibo Yan, Siru Zhong, Kun Wang, Qingsong Wen, Yuxuan Liang
2023	J	`jnl`	A Cyber-Physical-Social Perspective on Future Smart Distribution Systems. Proc. IEEE Yi Wang, Chien-Fei Chen, Peng-Yong Kong, Husheng Li, Qingsong Wen
2023	J	`jnl`	A Global Modeling Framework for Load Forecasting in Distribution Networks. IEEE Trans. Smart Grid Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc
2023	J	`jnl`	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan
2023	A*	`conf`	ADGym: Design Choices for Deep Anomaly Detection. NeurIPS Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	J	`jnl`	ADGym: Design Choices for Deep Anomaly Detection. CoRR Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
2023	A*	`conf`	AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
2023	J	`jnl`	AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang
2023	A*	`conf`	AirFormer: Predicting Nationwide Air Quality in China with Transformers. AAAI Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2023	J	`jnl`	BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition. CoRR Shikai Fang, Qingsong Wen, Shandian Zhe, Liang Sun
2023	J	`jnl`	Benchmarks and Custom Package for Electrical Load Forecasting. CoRR Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang
2023	A*	`conf`	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. KDD Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2023	J	`jnl`	DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. CoRR Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2023	J	`jnl`	DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. CoRR Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang
2023	—	`conf`	DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. SIGSPATIAL/GIS Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2023	J	`jnl`	EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR 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
2023	J	`jnl`	Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Mag. 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
2023	J	`jnl`	How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan
2023	J	`jnl`	Improving Load Forecasting Performance via Sample Reweighting. IEEE Trans. Smart Grid Chenxi Wang, Yangze Zhou, Qingsong Wen, Yi Wang
2023	J	`jnl`	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen
2023	J	`jnl`	Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR 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
2023	J	`jnl`	Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang
2023	J	`jnl`	Load Data Valuation in Multi-Energy Systems: An End-to-End Approach. CoRR Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang
2023	J	`jnl`	MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. CoRR Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2023	J	`jnl`	MagicScaler: Uncertainty-aware, Predictive Autoscaling. Proc. VLDB Endow. 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
2023	J	`jnl`	Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2023	A*	`conf`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Personalized Federated DARTS for Electricity Load Forecasting of Individual Buildings. IEEE Trans. Smart Grid Dalin Qin, Chenxi Wang, Qingsong Wen, Weiqi Chen, Liang Sun, Yi Wang
2023	J	`jnl`	RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models. CoRR Zefan Wang, Zichuan Liu, Yingying Zhang, Aoxiao Zhong, Jihong Wang, Fengbin Yin, Lunting Fan, Lingfei Wu, Qingsong Wen
2023	Misc	`conf`	Robust Dominant Periodicity Detection for Time Series with Missing Data. ICASSP Qingsong Wen, Linxiao Yang, Liang Sun
2023	J	`jnl`	Robust Dominant Periodicity Detection for Time Series with Missing Data. CoRR Qingsong Wen, Linxiao Yang, Liang Sun
2023	Misc	`conf`	SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. ICASSP Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
2023	J	`jnl`	SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events. CoRR Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	A*	`conf`	The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023	J	`jnl`	Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR 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
2023	A*	`conf`	Transformers in Time Series: A Survey. IJCAI Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2023	J	`jnl`	Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
2023	J	`jnl`	When Urban Region Profiling Meets Large Language Models. CoRR Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang
2023	A*	`conf`	eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. AAAI Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun
2022	J	`jnl`	A Global Modeling Approach for Load Forecasting in Distribution Networks. CoRR Miha Grabner, Yi Wang, Qingsong Wen, Bostjan Blazic, Vitomir Struc
2022	J	`jnl`	AirFormer: Predicting Nationwide Air Quality in China with Transformers. CoRR Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann
2022	A*	`conf`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	J	`jnl`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	A*	`conf`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	J	`jnl`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	A*	`conf`	Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. KDD Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun
2022	J	`jnl`	NetRCA: An Effective Network Fault Cause Localization Algorithm. CoRR Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
2022	Misc	`conf`	Netrca: An Effective Network Fault Cause Localization Algorithm. ICASSP Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun
2022	A*	`conf`	Robust Time Series Analysis and Applications: An Industrial Perspective. KDD Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun
2022	A	`conf`	Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CIKM Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
2022	J	`jnl`	Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. CoRR Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun
2022	A*	`conf`	RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
2022	J	`jnl`	RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang
2022	A	`conf`	TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CIKM Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022	J	`jnl`	TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. CoRR Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun
2022	A*	`conf`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. NeurIPS Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment. CoRR Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
2022	J	`jnl`	Transformers in Time Series: A Survey. CoRR Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
2022	J	`jnl`	TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin
2021	Misc	`conf`	A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. ICASSP Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
2021	J	`jnl`	A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. CoRR Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun
2021	A	`conf`	CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CIKM Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
2021	J	`jnl`	CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. CoRR Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke
2021	—	`conf`	RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. SIGMOD Conference Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2021	A*	`conf`	Time Series Data Augmentation for Deep Learning: A Survey. IJCAI Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2021	Misc	`conf`	Two-Stage Framework for Seasonal Time Series Forecasting. ICASSP Qingyang Xu, Qingsong Wen, Liang Sun
2021	J	`jnl`	Two-Stage Framework for Seasonal Time Series Forecasting. CoRR Qingyang Xu, Qingsong Wen, Liang Sun
2020	A*	`conf`	Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. KDD Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun
2020	Misc	`conf`	On Robust Variance Filtering and Change of Variance Detection. ICASSP Qingsong Wen, Zhengzhi Ma, Liang Sun
2020	J	`jnl`	RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. CoRR Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu
2020	J	`jnl`	RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. CoRR Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu
2020	J	`jnl`	Time Series Data Augmentation for Deep Learning: A Survey. CoRR Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2019	A*	`conf`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. AAAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2019	A*	`conf`	RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. IJCAI Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
2019	J	`jnl`	RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan
2018	J	`jnl`	RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. CoRR Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
2017	—	`conf`	Finding Top K Shortest Simple Paths with Improved Space Efficiency. GRADES@SIGMOD/PODS Qingsong Wen, Ren Chen, Lifeng Nai, Li Zhou, Yinglong Xia
2016	J	`jnl`	Efficient Greedy LLL Algorithms for Lattice Decoding. IEEE Trans. Wirel. Commun. Qingsong Wen, Xiaoli Ma
2016	Misc	`conf`	Fixed-complexity variants of the effective LLL algorithm with greedy convergence for MIMO detection. ICASSP Qingsong Wen, Xiaoli Ma
2016	C	`conf`	VLSI implementation of incremental fixed-complexity LLL lattice reduction for MIMO detection. ISCAS Qingsong Wen, Xiaoli Ma
2014	—	`conf`	An Efficient Greedy LLL Algorithm for MIMO Detection. MILCOM Qingsong Wen, Xiaoli Ma
2014	B	`conf`	An enhanced fixed-complexity LLL algorithm for MIMO detection. GLOBECOM Qingsong Wen, Qi Zhou, Xiaoli Ma
2013	Misc	`conf`	Fixed-point realization of lattice-reduction aided MIMO receivers with complex K-best algorithm. ICASSP Qingsong Wen, Qi Zhou, Chunming Zhao, Xiaoli Ma
2012	—	`conf`	Clipping effect on radiation pattern in downtilt beamforming. ACSCC Qingsong Wen, Sungeun Lee, Xiaoli Ma
2012	—	`conf`	Transmitter-side timing adjustment to mitigate interference between multiple nodes for OFDMA mesh network. ACSCC Sungeun Lee, Xiaoli Ma, Qingsong Wen
2010	J	`jnl`	Comparisons of SCR and Active-set Methods for PAPR Reduction in OFDM Systems. J. Networks Qihui Liang, Qingsong Wen, Yue Xiao, Shaoqian Li
2010	J	`jnl`	Nonlinearity Reduction by Tone Reservation with Null Subcarriers for WiMAX System. Wirel. Pers. Commun. Su Hu, Gang Wu, Qingsong Wen, Yue Xiao, Shaoqian Li
2008	—	`conf`	A Modified Partial Transmit Sequence Scheme for PAPR Reduction in OFDM System. VTC Fall Qingsong Wen, Yue Xiao, Peng Cheng, Lilin Dan, Shaoqian Li
2008	—	`conf`	A Novel Method for Reducing the Side Information of MSR-OFDM System. AICT Xu He, Qingsong Wen, Yue Xiao, Shaoqian Li
2007	J	`jnl`	A Class of Low Complexity PTS Techniques for PAPR Reduction in OFDM Systems. IEEE Signal Process. Lett. Yue Xiao, Xia Lei, Qingsong Wen, Shaoqian Li
2007	—	`conf`	A Novel User Grouping Scheme for PAPR Reduction in MC-CDMA System. VTC Fall Lilin Dan, Qingsong Wen, Yue Xiao, Shaoqian Li
2007	—	`conf`	Improved PTS for PAPR Reduction in OFDM Systems. AICT Yue Xiao, Qingsong Wen, Xia Lei, Shaoqian Li