Shun Zheng
13 papers · 2017–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (7) π Cross-Pollinator (12)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(28)
π
Century Club
(13)
Conferences
ACL (3)
ICLR (3)
NIPS (3)
IJCNLP (2)
EMNLP (1)
JMLR (1)
Top co-authors
Keywords
event extraction
(2)
neural network
(2)
information extraction
(2)
document-level extraction
(2)
named entity recognition
(2)
relation extraction
(1)
convex optimization
(1)
link prediction
(1)
event argument extraction
(1)
time-series forecasting
(1)
graph representation
(1)
distributed optimization
(1)
relational reasoning
(1)
time series forecasting
(1)
multi-task learning
(1)
knowledge graph embedding
(1)
probabilistic model
(1)
relation prediction
(1)
coordinate descent
(1)
benchmark evaluation
(1)
Papers
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
ICLR 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
NIPS 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
NIPS 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
ICLR 2024
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
NIPS 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting
ICLR 2022
Revisiting the Evaluation of End-to-end Event Extraction
ACL 2021
Revisiting the Evaluation of End-to-end Event Extraction
IJCNLP 2021
SEEK: Segmented Embedding of Knowledge Graphs
ACL 2020
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
EMNLP 2019
DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
ACL 2019
Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
IJCNLP 2019
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
JMLR 2017