Xianggen Liu
13 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(66)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(4)
Architectures
(4)
Applications
(2)
Generation
(2)
Models
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Keywords
text generation
(4)
paraphrase generation
(3)
neural network
(3)
unsupervised learning
(2)
reinforcement learning
(2)
hierarchical planning
(1)
semantic parsing
(1)
policy gradient
(1)
data augmentation
(1)
graph representation learning
(1)
text classification
(1)
self-supervised learning
(1)
document understanding
(1)
multi-label classification
(1)
adversarial training
(1)
graph classification
(1)
prompt learning
(1)
class imbalance
(1)
early exit
(1)
self-attention mechanism
(1)
Papers
Taming the Long Tail: Rebalancing Adversarial Training via Adaptive Perturbation
CVPR 2026
Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
ACML 2025
CAD-HLLM: Generating Executable CAD from Text with Hierarchical LLM Planning
ACML 2025
Create! Donβt Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation
NAACL 2024
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
AAAI 2024
Vector-Quantized Prompt Learning for Paraphrase Generation
EMNLP 2023
Abstract Rule Learning for Paraphrase Generation
IJCAI 2022
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
NeurIPS 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