Qianlong Wang
15 papers · 2018–2026 · 6 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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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (51) π Conference Polyglot Β· Silver π€ Dynamic Duo (11)
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Top co-authors
Research topics
Machine Learning
(14)
Natural Language Processing
(12)
Deep Learning
(11)
Applications Β· Natural Language Processing
(11)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(9)
Core AI
(8)
Learning Types Β· Deep Learning
(7)
Application Areas
(5)
Core Methods
(3)
Data Science & Analytics
(2)
Applications Β· Data Science & Analytics
(2)
Models
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
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
BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection
AAAI 2025
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
EMNLP 2025
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation
ACL 2025
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
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
In-context Learning for Few-shot Multimodal Named Entity Recognition
EMNLP 2023
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
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