Shun Zheng

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Int J Imaging Syst Technol

Unsupervised Anomaly Detection

Event Extraction

Relation Extraction

Top Venues

Publications

Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
DEWP: Deep Expansion Learning for Wind Power Forecasting. CoRR (2024)
Yujiang Wu, Hongjian Song, Jiawen Zhang, Xumeng Wen, Shun Zheng, Jiang Bian
Large Language Model as a Universal Clinical Multi-task Decoder. CoRR (2024)
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation. ICLR (2024)
Xumeng Wen, Han Zhang, Shun Zheng, Wei Xu, Jiang Bian
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models. KDD (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR (2024)
Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR (2024)
Wei Fan, Shun Zheng, Pengyang Wang, Rui Xie, Jiang Bian, Yanjie Fu
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows. CoRR (2024)
Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
DEWP: Deep Expansion Learning for Wind Power Forecasting. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
BatteryML: An Open-source platform for Machine Learning on Battery Degradation. CoRR (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. ICDE (2023)
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. KDD (2023)
Shun Zheng, Shaoqing Wang, Lijie Zhang, Yao Zhang, Fuzhen Sun
Multi-pair Contrastive Learning Based on Same-Timestamp Data Augmentation for Sequential Recommendation. APWeb/WAIM (3) (2023)
Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian
Learning Intra- and Inter-Cell Differences for Accurate Battery Lifespan Prediction across Diverse Conditions. CoRR (2023)
Keke Li, Shaoqing Wang, Shun Zheng, Xia Wu, Yao Zhang, Fuzhen Sun
Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning. ADMA (1) (2023)
Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting. CoRR (2023)
Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
Towards Foundation Models for Learning on Tabular Data. CoRR (2023)
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. CoRR (2023)
Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian
UADB: Unsupervised Anomaly Detection Booster. CoRR (2023)
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. ICLR (2022)
Swati Sharma, Srinivasan Iyengar, Shun Zheng, Kshitij Kapoor, Wei Cao, Jiang Bian, Shivkumar Kalyanaraman, John Lemmon
A Graph-based Spatiotemporal Model for Energy Markets. CIKM (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. CoRR (2022)
Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures. CoRR (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. KDD (2022)
Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting. CoRR (2022)
Xiaozhuang Song, Shun Zheng, Wei Cao, James J. Q. Yu, Jiang Bian
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations. NeurIPS (2022)
Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. BIBM (2022)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
Revisiting the Evaluation of End-to-end Event Extraction. ACL/IJCNLP (Findings) (2021)
Kingsley Nweye, Zoltán Nagy, Sharada 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
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Shun Zheng, Zhifeng Gao, Wei Cao, Jiang Bian, Tie-Yan Liu
HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting. CIKM (2021)
Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu
SEEK: Segmented Embedding of Knowledge Graphs. ACL (2020)
Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu
SEEK: Segmented Embedding of Knowledge Graphs. CoRR (2020)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. CoRR (2019)
Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction. EMNLP/IJCNLP (1) (2019)
Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction. ACL (1) (2019)
Shun Zheng, Peilin Yu, Lu Chen, Ling Huang, Wei Xu
DIAG-NRE: A Deep Pattern Diagnosis Framework for Distant Supervision Neural Relation Extraction. CoRR (2018)
Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization. J. Mach. Learn. Res. 18 (2017)
Shun Zheng, Fen Xia, Wei Xu, Tong Zhang
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization. CoRR (2016)
Nam Su Heo, Shun Zheng, Minho Yang, Seok Jae Lee, Sang Yup Lee, Hwa-Jung Kim, Jung Youn Park, Chang-Soo Lee, Taejung Park
Label-Free Electrochemical Diagnosis of Viral Antigens with Genetically Engineered Fusion Protein. Sensors 12 (8) (2012)