Tian Zhou - RankMe

54 papers A* 12A 2B 1Misc 3Journal 33Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates. CoRR Linxiao Yang, Xue Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun
2026	J	`jnl`	Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction. CoRR Peisong Niu, Haifan Zhang, Yang Zhao, Tian Zhou, Ziqing Ma, Wenqiang Shen, Junping Zhao, Huiling Yuan, Liang Sun
2026	J	`jnl`	Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting. CoRR Ziqing Ma, Kai Ying, Xinyue Gu, Tian Zhou, Tianyu Zhu, Haifan Zhang, Peisong Niu, Zheng Wang, Cong Bai, Liang Sun
2026	J	`jnl`	Model-Free Test Time Adaptation for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin
2026	A*	`conf`	SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting. AAAI Hang Ding, Xue Wang, Tian Zhou, Tao Yao
2025	J	`jnl`	Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting. CoRR Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
2025	—	`conf`	Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. KDD (2) Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun
2025	Misc	`conf`	Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. ICASSP Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2025	J	`jnl`	Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model. CoRR Xue Wang, Tian Zhou, Jinyang Gao, Bolin Ding, Jingren Zhou
2025	J	`jnl`	SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting. CoRR Hang Ding, Xue Wang, Tian Zhou, Tao Yao
2025	Misc	`conf`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. ICASSP Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
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	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	—	`conf`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. KDD (2) Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun
2025	J	`jnl`	Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. CoRR Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun
2024	J	`jnl`	Attention as Robust Representation for Time Series Forecasting. CoRR Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin
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`	FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. KDD Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin
2024	J	`jnl`	FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. CoRR Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin
2024	J	`jnl`	Less is more: Embracing sparsity and interpolation with Esiformer for time series forecasting. CoRR Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian
2024	J	`jnl`	Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization. CoRR Yizhen Guo, Tian Zhou, Wanyi Jiang, Bo Wu, Liang Sun, Rong Jin
2024	J	`jnl`	Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting. CoRR Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin
2024	J	`jnl`	S CoRR Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting. CoRR Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin
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
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`	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`	GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CoRR Yanjun Zhao, Ziqing Ma, Tian Zhou, Liang Sun, Mengni Ye, Yi Qian
2023	A	`conf`	GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CIKM Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian
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`	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	J	`jnl`	Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	A*	`conf`	One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	Power Time Series Forecasting by Pretrained LM. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
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`	SVQ: Sparse Vector Quantization for Spatiotemporal Forecasting. CoRR Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
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	A*	`conf`	Transformers in Time Series: A Survey. IJCAI Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
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	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	A*	`conf`	Robust Time Series Analysis and Applications: An Industrial Perspective. KDD Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun
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	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
2017	B	`conf`	Automatic segmentation of left ventricle in cardiac cine MRI images based on deep learning. Image Processing Tian Zhou, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen
2017	—	`conf`	Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images. STACOM@MICCAI Antong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin