Weiquan Mao
7 papers · 2022–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(26)
Conferences
COLING (3)
NAACL (2)
ACL (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
neural network
(2)
text classification
(2)
cross-lingual transfer
(2)
model compression
(2)
catastrophic forgetting
(1)
zero-shot learning
(1)
transfer learning
(1)
knowledge distillation
(1)
text summarization
(1)
model architecture
(1)
multi-modal learning
(1)
neural network optimization
(1)
event detection
(1)
model inference
(1)
clustering algorithm
(1)
benchmark dataset
(1)
embedding alignment
(1)
semantic preservation
(1)
document embedding
(1)
triplet loss
(1)
Papers
Topic Detection and Tracking with Time-Aware Document Embeddings
COLING 2024
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
ACL 2023
SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision
EMNLP 2023
CSL: A Large-scale Chinese Scientific Literature Dataset
COLING 2022
A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning
COLING 2022
Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System
NAACL 2022
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
NAACL 2022