Lichan Hong
11 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π Academic Marathon Β· Sprint π Grand Slam
ποΈ
Keyword Collector
(54)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Core Methods
(6)
Artificial Intelligence
(4)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Deep Learning
(3)
Core AI
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Applications
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Architectures
(1)
Learning Types Β· Deep Learning
(1)
Keywords
multi-task learning
(3)
recommendation system
(2)
large language model
(2)
transfer learning
(2)
learning to rank
(1)
collaborative filtering
(1)
similarity learning
(1)
feature embedding
(1)
hierarchical planning
(1)
nearest neighbor search
(1)
model architecture
(1)
parameter sharing
(1)
variance reduction
(1)
numerical integration
(1)
expert selection
(1)
plackett-luce model
(1)
generalization
(1)
deep neural network
(1)
spurious correlation
(1)
knowledge distillation
(1)
Papers
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
ACL 2025
Aligning Large Language Models with Recommendation Knowledge
NAACL 2024
Leveraging LLM Reasoning Enhances Personalized Recommender Systems
ACL 2024
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
ICML 2024
Recommender Systems with Generative Retrieval
NeurIPS 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NeurIPS 2023
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NeurIPS 2022
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NeurIPS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning
AAAI 2019