Lichan Hong
11 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (20)
πΊοΈ
Taxonomy Completionist
(20)
π
Renaissance Researcher
(5)
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(11)
π
Conference Pioneer
Conferences
NIPS (4)
ACL (2)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
multi-task learning
(3)
large language model
(2)
recommendation system
(2)
transfer learning
(2)
numerical integration
(1)
model architecture
(1)
knowledge distillation
(1)
learning to rank
(1)
collaborative filtering
(1)
parameter sharing
(1)
nearest neighbor search
(1)
plackett-luce model
(1)
expert selection
(1)
deep neural network
(1)
mixture of expert
(1)
spurious correlation
(1)
exploration strategy
(1)
feature embedding
(1)
causal representation learning
(1)
hierarchical planning
(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
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
NIPS 2023
Recommender Systems with Generative Retrieval
NIPS 2023
Improving Multi-Task Generalization via Regularizing Spurious Correlation
NIPS 2022
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NIPS 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