Xianggen Liu
10 papers · 2018–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (6)
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Academic Marathon
(6)
π£
Hot Topic Early Bird
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Cross-Pollinator
(13)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(52)
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Century Club
(10)
π₯
Unstoppable
(5)
π
Trend Setter
Conferences
IJCAI (3)
ACL (2)
AAAI (1)
EMNLP (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
text generation
(4)
neural network
(3)
paraphrase generation
(3)
unsupervised learning
(2)
reinforcement learning
(2)
self-supervised learning
(1)
document understanding
(1)
graph classification
(1)
semantic parsing
(1)
sequential decision
(1)
policy gradient
(1)
multi-label classification
(1)
data augmentation
(1)
prompt learning
(1)
vector quantization
(1)
early exit
(1)
simulated annealing
(1)
time series forecasting
(1)
graph representation learning
(1)
text classification
(1)
Papers
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
AAAI 2024
Create! Donβt Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation
NAACL 2024
Vector-Quantized Prompt Learning for Paraphrase Generation
EMNLP 2023
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
NIPS 2022
Abstract Rule Learning for Paraphrase Generation
IJCAI 2022
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks
IJCAI 2021
A Chance-Constrained Generative Framework for Sequence Optimization
ICML 2020
Unsupervised Paraphrasing by Simulated Annealing
ACL 2020
Jumper: Learning When to Make Classification Decision in Reading
IJCAI 2018
Object-oriented Neural Programming (OONP) for Document Understanding
ACL 2018