Xin Xin

Orcid: 0000-0001-6116-9115

Affiliations:
  • Shandong University, Information Retrieval Lab, School of Computer Science and Technology, China
  • University of Glasgow, School of Computing Science, UK (PhD 2021)
  • Shanghai Jiao Tong University, School of Software, School of Electronic Information and Electrical Engineering, China


According to our database1, Xin Xin authored at least 64 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Bibliography

2024
How graph convolutions amplify popularity bias for recommendation?
Frontiers Comput. Sci., October, 2024

Diversifying Sequential Recommendation with Retrospective and Prospective Transformers.
ACM Trans. Inf. Syst., September, 2024

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation.
CoRR, 2024

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.
CoRR, 2024

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2024

Towards Personalized Federated Multi-scenario Multi-task Recommendation.
CoRR, 2024

Offline Trajectory Generalization for Offline Reinforcement Learning.
CoRR, 2024

Enhanced Generative Recommendation via Content and Collaboration Integration.
CoRR, 2024

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation.
CoRR, 2024

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

On the Effectiveness of Unlearning in Session-Based Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

AgentIR: 1st Workshop on Agent-based Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

R<sup>3</sup>AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Towards Empathetic Conversational Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

Content-Based Collaborative Generation for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

On the User Behavior Leakage from Recommender System Exposure.
ACM Trans. Inf. Syst., 2023

Learning Robust Sequential Recommenders through Confident Soft Labels.
CoRR, 2023

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum.
CoRR, 2023

Label Denoising through Cross-Model Agreement.
CoRR, 2023

A Self-Correcting Sequential Recommender.
Proceedings of the ACM Web Conference 2023, 2023

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Learning Robust Recommenders through Cross-Model Agreement.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Supervised Advantage Actor-Critic for Recommender Systems.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Variational Reasoning about User Preferences for Conversational Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021
Deep learning-based implicit feedback recommendation.
PhD thesis, 2021

AIRec: Attentive intersection model for tag-aware recommendation.
Neurocomputing, 2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation.
CoRR, 2021

Probabilistic and Variational Recommendation Denoising.
CoRR, 2021

Graph Convolutional Embeddings for Recommender Systems.
IEEE Access, 2021

Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems.
Proceedings of the WSDM '21, 2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoDebias: Learning to Debias for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
Proceedings of the IEEE International Conference on Data Mining, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.
CoRR, 2020

Graph Highway Networks.
CoRR, 2020

Self-Supervised Reinforcement Learning for Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

AIRec: Attentive Intersection Model for Tag-Aware Recommendation.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
SCFM: Social and crowdsourcing factorization machines for recommendation.
Appl. Soft Comput., 2018

f<sub>BGD</sub>: Learning Embeddings From Positive Unlabeled Data with BGD.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Batch IS NOT Heavy: Learning Word Representations From All Samples.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Exploiting long-term and short-term preferences and RFID trajectories in shop recommendation.
Softw. Pract. Exp., 2017

HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

SoGeM: Social Based Generative Model for Top-N Recommendation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016
FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition.
Proceedings of the Knowledge Science, Engineering and Management, 2015


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