Liam Collins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | SIGIR | 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, Wen Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah |
| 2026 | WSDM | Sequential Data Augmentation for Generative Recommendation. | Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins |
| 2025 | CIKM | 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 |
| 2025 | KDD | 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 |
| 2025 | SIGIR | 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 |
| 2024 | ICML | Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. | Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai |
| 2023 | COLT | InfoNCE Loss Provably Learns Cluster-Preserving Representations. | Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai |
| 2023 | ICASSP | Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. | Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury |
| 2022 | ICML | MAML and ANIL Provably Learn Representations. | Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai |
| 2021 | ICML | Exploiting Shared Representations for Personalized Federated Learning. | Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai |