Cuiping Li
27 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(67)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(26)
β‘
Prolific Year
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(127)
π₯
Unstoppable
(7)
π
Century Club
(27)
Conferences
EMNLP (6)
AAAI (5)
ACL (5)
IJCAI (3)
COLING (2)
ICCV (2)
CVPR (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
knowledge base question answering
(4)
large language model
(4)
knowledge graph
(3)
contrastive learning
(3)
attention mechanism
(3)
knowledge base
(3)
knowledge base question generation
(3)
catastrophic forgetting
(2)
transfer learning
(2)
representation learning
(2)
class distribution mismatch
(2)
text generation
(2)
active learning
(2)
graph neural network
(2)
question answering
(2)
semantic parsing
(2)
knowledge distillation
(2)
named entity recognition
(2)
self-supervised learning
(1)
prototype learning
(1)
Papers
Streamlining Redundant Layers to Compress Large Language Models
ICLR 2025
Personalized Clustering via Targeted Representation Learning
AAAI 2025
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
AAAI 2025
P2 Law: Scaling Law for Post-Training After Model Pruning
ACL 2025
SAM Decoding: Speculative Decoding via Suffix Automaton
ACL 2025
Federated Incremental Named Entity Recognition
COLING 2025
Unsupervised Learning for Class Distribution Mismatch
ICML 2025
Diversifying Question Generation over Knowledge Base via External Natural Questions
COLING 2024
SGSH: Stimulate Large Language Models with Skeleton Heuristics for Knowledge Base Question Generation
NAACL 2024
SP3: Enhancing Structured Pruning via PCA Projection
ACL 2024
A Survey on Neural Question Generation: Methods, Applications, and Prospects
IJCAI 2024
PCQPR: Proactive Conversational Question Planning with Reflection
EMNLP 2024
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering
ACL 2023
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
AAAI 2023
Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch
ICCV 2023
Superclass Learning With Representation Enhancement
CVPR 2023
A Generation-based Deductive Method for Math Word Problems
EMNLP 2023
Exploring Binary Classification Hidden within Partial Label Learning
IJCAI 2022
Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering
EMNLP 2022
CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking
AAAI 2022
Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering
ACL 2022
DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner
EMNLP 2022
P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion
EMNLP 2021
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base
EMNLP 2021
Contrastive Coding for Active Learning Under Class Distribution Mismatch
ICCV 2021
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
IJCAI 2020
Hierarchical Reinforcement Learning for Course Recommendation in MOOCs
AAAI 2019