Qianlong Wang
15 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (6) π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(52)
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Keyword Champion
(2)
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
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Trend Setter
ποΈ
Keyword Collector
(68)
β‘
Prolific Year
(6)
π
Century Club
(14)
Conferences
ACL (5)
EMNLP (5)
COLING (2)
AAAI (1)
ACML (1)
IJCAI (1)
Top co-authors
Keywords
large language model
(6)
aspect-based sentiment analysis
(5)
sentiment analysis
(4)
in-context learning
(4)
text classification
(3)
few-shot learning
(3)
knowledge distillation
(2)
model compression
(2)
prompt engineering
(1)
data augmentation
(1)
stance detection
(1)
knowledge editing
(1)
language model evaluation
(1)
sequence labeling
(1)
image captioning
(1)
time series anomaly detection
(1)
masked language model
(1)
gradient aggregation
(1)
chain-of-thought reasoning
(1)
curriculum learning
(1)
Papers
TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection
ACL 2026
DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
ACL 2025
Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis
ACL 2025
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
ACL 2025
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
AAAI 2025
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
EMNLP 2025
Targeted Distillation for Sentiment Analysis
EMNLP 2025
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
ACL 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis
COLING 2024
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
EMNLP 2023
In-context Learning for Few-shot Multimodal Named Entity Recognition
EMNLP 2023
Progressive Self-Training with Discriminator for Aspect Term Extraction
EMNLP 2021
Label Correction Model for Aspect-based Sentiment Analysis
COLING 2020
Learning to Learn Gradient Aggregation by Gradient Descent
IJCAI 2019
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach
ACML 2018