List of works - Weinan Zhang

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

AgentIR: 1st Workshop on Agent-based Information Retrieval

scientific article published on 11 July 2024

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

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

scientific article published on 21 October 2023

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

scientific article published on 04 August 2023

Dense Representation Learning and Retrieval for Tabular Data Prediction

scientific article published on 04 August 2023

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

scientific article published on 25 August 2024

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

scientific article published on 20 October 2024

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction

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

Integrated Ranking for News Feed with Reinforcement Learning

scientific article published on 28 April 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023

scientific article published on 14 September 2023

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

scientific article published on 04 March 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

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

scientific article published on 08 May 2024

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

scientific article published on 04 August 2023

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

scientific article published on 12 May 2024

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 Weinan Zhang

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

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

AgentIR: 1st Workshop on Agent-based Information Retrieval

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

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding

Dense Representation Learning and Retrieval for Tabular Data Prediction

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation

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

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction

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

Integrated Ranking for News Feed with Reinforcement Learning

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

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

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

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

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

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