Yong Yu (俞勇)

About Yong Yu (俞勇)

Yong Yu (俞勇), With an exceptional h-index of 86 and a recent h-index of 58 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of WWW, KDD, Semantic Search, Machine Learning, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-sourced Integrated Ranking with Exposure Fairness

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

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development

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

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

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

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

Yong Yu (俞勇) Information

University

Position

Professor

Citations(all)

36305

Citations(since 2020)

19330

Cited By

24069

hIndex(all)

86

hIndex(since 2020)

58

i10Index(all)

252

i10Index(since 2020)

172

Email

University Profile Page

Google Scholar

Yong Yu (俞勇) Skills & Research Interests

WWW

KDD

Semantic Search

Machine Learning

Data Mining

Top articles of Yong Yu (俞勇)

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

arXiv preprint arXiv:2404.09578

2024/4/15

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development

arXiv preprint arXiv:2404.09151

2024/4/14

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

arXiv preprint arXiv:2404.07581

2024/4/11

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models

arXiv preprint arXiv:2403.16378

2024/3/25

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

SIGIR 2024

2024/3/10

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem

arXiv preprint arXiv:2403.05318

2024/3/8

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation

arXiv preprint arXiv:2403.03536

2024/3/6

Lending Interaction Wings to Recommender Systems with Conversational Agents

Advances in Neural Information Processing Systems

2024/2/13

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems

arXiv preprint arXiv:2210.05662

2022/10/11

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems

arXiv preprint arXiv:2401.11478

2024/1/21

ROMO: Retrieval-enhanced Offline Model-based Optimization

arXiv preprint arXiv:2310.07560

2023/10/11

Diffusion models for reinforcement learning: A survey

arXiv preprint arXiv:2311.01223

2023/11/2

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction

arXiv preprint arXiv:2310.19453

2023/10/30

Are Edges Topology or Supervision: Edge-aware Message Passing for Graph based Recommendation

2023

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

2023/10/21

Bridging Query Completion and Item Recommendation in a Multi-Round Guess-and-Update System

2023

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

2023/10/21

See List of Professors in Yong Yu (俞勇) University(Shanghai Jiao Tong University)