XIN XIN

XIN XIN

University of Glasgow

H-index: 15

Europe-United Kingdom

About XIN XIN

XIN XIN, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Glasgow, specializes in the field of recommender system, information retrieval, machine learning, reinforcement learning.

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

How graph convolutions amplify popularity bias for recommendation?

School of Computing Science

Offline Trajectory Generalization for Offline Reinforcement Learning

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

Enhanced Generative Recommendation via Content and Collaboration Integration

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

Confucius: Iterative tool learning from introspection feedback by easy-to-difficult curriculum

KEIR@ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval

XIN XIN Information

University

Position

PhD School of computing science

Citations(all)

973

Citations(since 2020)

964

Cited By

132

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

XIN XIN Skills & Research Interests

recommender system

information retrieval

machine learning

reinforcement learning

Top articles of XIN XIN

How graph convolutions amplify popularity bias for recommendation?

Frontiers of Computer Science

2024/10

Offline Trajectory Generalization for Offline Reinforcement Learning

arXiv preprint arXiv:2404.10393

2024/4/16

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

arXiv preprint arXiv:2404.02059

2024/4/2

Xin Xin
Xin Xin

H-Index: 6

Jie Wang
Jie Wang

H-Index: 19

Enhanced Generative Recommendation via Content and Collaboration Integration

arXiv preprint arXiv:2403.18480

2024/3/27

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation

arXiv preprint arXiv:2403.16371

2024/3/25

Confucius: Iterative tool learning from introspection feedback by easy-to-difficult curriculum

Proceedings of the AAAI Conference on Artificial Intelligence

2024/3/24

KEIR@ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval

2024/3/23

On the Effectiveness of Unlearning in Session-Based Recommendation

2024/3/4

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure

2024/3/4

Generalized Embedding Machines for Recommender Systems

Machine Intelligence Research

2024/1/12

Diversifying Sequential Recommendation with Retrospective and Prospective Transformers

ACM Transactions on Information Systems

2024

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

2023/10/21

Label denoising through cross-model agreement

arXiv preprint arXiv:2308.13976

2023/8/27

A generic learning framework for sequential recommendation with distribution shifts

2023/7/19

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

2023/7/19

Improving implicit feedback-based recommendation through multi-behavior alignment

2023/7/19

Variational reasoning over incomplete knowledge graphs for conversational recommendation

2023/2/27

On the user behavior leakage from recommender system exposure

ACM Transactions on Information Systems

2023/2/7

See List of Professors in XIN XIN University(University of Glasgow)

Co-Authors

academic-engine