Clark Mingxuan Ju

According to our database, Clark Mingxuan Ju authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

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

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

CoRR, July, 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

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