Shun Zheng

According to our database, Shun Zheng authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.

Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong

ACM Trans. Knowl. Discov. Data, April, 2024

Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows.

Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu

CoRR, 2024

DEWP: Deep Expansion Learning for Wind Power Forecasting.

Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong

CoRR, 2024

2023

BatteryML: An Open-source platform for Machine Learning on Battery Degradation.

Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian

CoRR, 2023

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.

Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian

CoRR, 2023

Towards Foundation Models for Learning on Tabular Data.

Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian

CoRR, 2023

Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions.

Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian

CoRR, 2023

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.

Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.

Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-pair Contrastive Learning Based on Same-Timestamp Data Augmentation for Sequential Recommendation.

Shun Zheng, Shaoqing Wang, Lijie Zhang, Yao Zhang, Fuzhen Sun

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning.

Keke Li, Shaoqing Wang, Shun Zheng, Xia Wu, Yao Zhang, Fuzhen Sun

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.

Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li

CoRR, 2022

Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations.

Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Differential Operators for Interpretable Time Series Modeling.

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting.

Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Graph-based Spatiotemporal Model for Energy Markets.

Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring.

Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian

Proceedings of the NeurIPS 2022 Competition Track, 2021

HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting.

Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Revisiting the Evaluation of End-to-end Event Extraction.

Shun Zheng, Wei Cao, Wei Xu, Jiang Bian

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

SEEK: Segmented Embedding of Knowledge Graphs.

Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction.

Shun Zheng, Wei Cao, Wei Xu, Jiang Bian

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction.

Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction.

Shun Zheng, Peilin Yu, Lu Chen, Ling Huang, Wei Xu

CoRR, 2018

2017

A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.

Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang

J. Mach. Learn. Res., 2017

2016

A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.

Shun Zheng, Fen Xia, Wei Xu, Tong Zhang

CoRR, 2016

2012

Label-Free Electrochemical Diagnosis of Viral Antigens with Genetically Engineered Fusion Protein.

Nam Su Heo, Shun Zheng, Minho Yang, Seok Jae Lee, Sang Yup Lee, Hwa-Jung Kim, Jung Youn Park, Chang-Soo Lee, Taejung Park

Sensors, 2012