yankai Chen
17 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Artificial Intelligence
(11)
Machine Learning
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Core AI
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Deep Learning
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Data Science & Analytics
(3)
Core Methods
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Natural Language Processing
(2)
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Applications
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Computer Vision
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Knowledge & Reasoning
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Mathematics & Optimization
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Analysis
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Keywords
large language model
(5)
representation learning
(2)
recommender system
(2)
model compression
(2)
knowledge distillation
(2)
contrastive learning
(2)
graph neural network
(2)
hyperbolic space
(2)
graph embedding
(2)
knowledge retention
(2)
metric learning
(1)
embedding learning
(1)
collaborative filtering
(1)
curriculum learning
(1)
catastrophic forgetting
(1)
image retrieval
(1)
incremental learning
(1)
text classification
(1)
autonomous driving
(1)
passage retrieval
(1)
Papers
ConSurv: Multimodal Continual Learning for Survival Analysis
AAAI 2026
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety
ACL 2026
FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure
ACL 2026
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
ACL 2026
S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening
AAAI 2026
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions
EMNLP 2025
Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning
EMNLP 2025
TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency
ACL 2025
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks
AAAI 2024
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
AAAI 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems
AAAI 2024
Hyperbolic Representation Learning: Revisiting and Advancing
ICML 2023
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
NeurIPS 2023
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
AACL 2022
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
IJCAI 2020