Jing Zhou
15 papers · 2006–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(8)
Deep Learning
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Natural Language Processing
(6)
Artificial Intelligence
(4)
Core AI
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Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
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(4)
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(3)
Learning Types Β· Deep Learning
(3)
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Generation
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Keywords
few-shot learning
(2)
text classification
(2)
generative model
(2)
zero-shot learning
(2)
transfer learning
(2)
discriminative model
(2)
natural language generation
(1)
in-context learning
(1)
false discovery rate
(1)
signal estimation
(1)
data augmentation
(1)
relation extraction
(1)
anomaly detection
(1)
text generation
(1)
prompt learning
(1)
natural language understanding
(1)
task generalization
(1)
speech enhancement
(1)
domain adaptation
(1)
semi-supervised learning
(1)
Papers
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
AAAI 2026
Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts
ACL 2026
On the Role of Discriminative Models in Generative Relation Extraction
ACL 2026
Speech Enhancement with Dual-path Multi-Channel Linear Prediction Filter and Multi-norm Beamforming
Interspeech 2025
Gaussian Mixture Models with Rare Events
JMLR 2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning
EMNLP 2024
A Universal Discriminator for Zero-Shot Generalization
ACL 2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization
ICLR 2023
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source
IJCAI 2022
Automatic Product Copywriting for E-commerce
AAAI 2022
FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding
ACL 2022
FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning
ACL 2022
Multi-source wideband DOA estimation method by frequency focusing and error weighting
Interspeech 2022
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
ICML 2020
Streamwise Feature Selection
JMLR 2006