Ling Luo
24 papers · 2017–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (8)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(8)
🌈
Renaissance Researcher
(9)
🤝
Dynamic Duo
(10)
🧬
Topic Evolution
⚡
Prolific Year
(5)
💎
Century Club
(24)
🗃️
Keyword Collector
(123)
🔥
Unstoppable
(9)
Conferences
IJCAI (5)
ACL (4)
AAAI (3)
EMNLP (3)
IJCNLP (3)
SEMEVAL (2)
COLING (1)
CVPR (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
large language model
(5)
text classification
(3)
convolutional neural network
(3)
ensemble learning
(3)
pre-trained language model
(2)
user preference
(2)
behavioral datum
(2)
ensemble classification
(2)
generative model
(2)
headline generation
(2)
sentiment analysis
(2)
multilingual translation
(2)
policy gradient
(2)
emotion classification
(2)
extractive summarization
(2)
text generation
(2)
text summarization
(2)
multi-label classification
(2)
reinforcement learning
(2)
user modeling
(2)
Papers
DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models
SEMEVAL 2025
DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News
SEMEVAL 2025
DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models
ACL 2025
DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News
ACL 2025
Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models
NAACL 2025
From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue
AAAI 2024
Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speech
EMNLP 2024
3D VR Sketch Guided 3D Shape Prototyping and Exploration
ICCV 2023
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution
IJCAI 2022
Noise-Robust Learning from Multiple Unsupervised Sources of Inferred Labels
AAAI 2022
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data
AAAI 2021
Bayesian Nonparametric Space Partitions: A Survey
IJCAI 2021
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
EMNLP 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
IJCNLP 2021
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis
IJCNLP 2021
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis
ACL 2021
PENS: A Dataset and Generic Framework for Personalized News Headline Generation
ACL 2021
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation
COLING 2020
Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms
CVPR 2019
Reading Like HER: Human Reading Inspired Extractive Summarization
IJCNLP 2019
Reading Like HER: Human Reading Inspired Extractive Summarization
EMNLP 2019
Unsupervised Neural Aspect Extraction with Sememes
IJCAI 2019
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention
IJCAI 2018
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
IJCAI 2017