Clark Mingxuan Ju

According to our database, Clark Mingxuan Ju authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MLPs are Efficient Distilled Generative Recommenders.

Zitian Guo, Yupeng Hou, Clark Mingxuan Ju, Neil Shah, Julian J. McAuley

CoRR, May, 2026

Expressiveness Limits of Autoregressive Semantic ID Generation in Generative Recommendation.

Yupeng Hou, Haven Kim, Clark Mingxuan Ju, Eduardo Escoto, Neil Shah, Julian J. McAuley

CoRR, May, 2026

Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices.

Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Vincent Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah

CoRR, April, 2026

MemRec: Collaborative Memory-Augmented Agentic Recommender System.

Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Clark Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang

CoRR, January, 2026

2025

Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation.

Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah

CoRR, December, 2025

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View.

Jingzhe Liu, Liam Collins, Jiliang Tang, Tong Zhao, Neil Shah, Clark Mingxuan Ju

CoRR, September, 2025

Sequential Data Augmentation for Generative Recommendation.

Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins

CoRR, September, 2025

Revisiting Self-attention for Cross-domain Sequential Recommendation.

Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah

CoRR, May, 2025

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.

Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah

CoRR, April, 2025

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.

Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Revisiting Self-attention for Cross-domain Sequential Recommendation.

Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Generative Recommendation with Semantic IDs: A Practitioner's Handbook.

Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.

Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao

CoRR, 2024