List of works - Yong Yu

A Bird's-eye View of Reranking: From List Level to Page Level

scientific article published on 22 February 2023

A Survey on Bid Optimization in Real-Time Bidding Display Advertising

scientific article published on 18 October 2023

Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios

scientific article published on 30 December 2023

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

scientific article published on 22 February 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

scientific article published on 22 February 2023

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

scientific article published on 08 May 2024

D4W: Dependable Data-Driven Dynamics for Wheeled Robots

scientific article published on 30 December 2023

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

scientific article published on 04 August 2023

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation

scientific article published on 20 October 2024

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

scientific article published on 08 October 2024

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

scientific article published on 04 August 2023

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation

scientific article published on 21 October 2023

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning

scientific article published on 12 May 2024

How Can Recommender Systems Benefit from Large Language Models: A Survey

scientific article published on 13 July 2024

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation

scientific article published on 22 February 2023

Learning to Retrieve User Behaviors for Click-through Rate Estimation

scientific article published on 09 January 2023

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation

scientific article published on 08 May 2024

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

scientific article published on 04 August 2023

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

scientific article published on 20 October 2024

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

scientific article published on 04 August 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising

scientific article published on 21 October 2023

Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation

scientific article published on 25 August 2024

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

scientific article published on 30 December 2023

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

scientific article published on 08 May 2024

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data

scientific article published on 12 May 2024

SACAT: Student-Adaptive Computerized Adaptive Testing

scientific article published on 30 December 2023

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model

scientific article published on 20 October 2024

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision

scientific article published on 11 July 2024

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

scientific article published on 08 October 2024

Utility-Oriented Reranking with Counterfactual Context

scientific article published on 04 June 2024

List of works by Yong Yu

A Bird's-eye View of Reranking: From List Level to Page Level

A Survey on Bid Optimization in Real-Time Bidding Display Advertising

Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction

D4W: Dependable Data-Driven Dynamics for Wheeled Robots

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning

How Can Recommender Systems Benefit from Large Language Models: A Survey

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation

Learning to Retrieve User Behaviors for Click-through Rate Estimation

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising

Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data

SACAT: Student-Adaptive Computerized Adaptive Testing

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Utility-Oriented Reranking with Counterfactual Context