Chenxu Zhu

Orcid: 0000-0001-8320-6845

According to our database1, Chenxu Zhu authored at least 20 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
CoRR, January, 2025

2024
An Automatic Graph Construction Framework based on Large Language Models for Recommendation.
CoRR, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.
CoRR, 2024

Vector Quantization for Recommender Systems: A Review and Outlook.
CoRR, 2024

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023
SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data.
Briefings Bioinform., September, 2023

AIM: Automatic Interaction Machine for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng., April, 2023

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., April, 2023

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.
CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.
CoRR, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DFFM: Domain Facilitated Feature Modeling for CTR Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback.
IEEE Access, 2021

2020
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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