Liam Collins - RankMe

35 papers A* 8A 2B 1Misc 2Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Sequential Data Augmentation for Generative Recommendation. WSDM Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2025	J	`jnl`	A Bi-channel Aided Stitching of Atomic Force Microscopy Images. CoRR Huanhuan Zhao, Ruben Millan-Solsona, Checa Nualart Marti, Spenser R. Brown, Jennifer Lynn Morrell-Falvey, Liam Collins, Arpan Biswas
2025	J	`jnl`	A Fourier-Based Global Denoising Model for Smart Artifacts Removing of Microscopy Images. CoRR Huanhuan Zhao, Connor Vernachio, Laxmi Bhurtel, Wooin Yang, Ruben Millan-Solsona, Spenser R. Brown, Marti Checa, Komal Sharma Agrawal, Adam M. Guss, Liam Collins, Wonhee Ko, Arpan Biswas
2025	J	`jnl`	Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation. CoRR Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah
2025	A	`conf`	Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CIKM Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025	J	`jnl`	Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CoRR Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025	J	`jnl`	Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. CoRR Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao
2025	A*	`conf`	Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. SIGIR 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
2025	J	`jnl`	Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. CoRR 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
2025	J	`jnl`	Masked Diffusion for Generative Recommendation. CoRR Kulin Shah, Bhuvesh Kumar, Neil Shah, Liam Collins
2025	—	`conf`	Revisiting Self-attention for Cross-domain Sequential Recommendation. KDD (2) Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025	J	`jnl`	Revisiting Self-attention for Cross-domain Sequential Recommendation. CoRR Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025	J	`jnl`	Sequential Data Augmentation for Generative Recommendation. CoRR Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2025	J	`jnl`	Understanding Generative Recommendation with Semantic IDs from a Model-scaling View. CoRR Jingzhe Liu, Liam Collins, Jiliang Tang, Tong Zhao, Neil Shah, Clark Mingxuan Ju
2024	B	`conf`	Image Segmentation of Bacterial Biofilms to Study Pathogen-Surface Interactions. IEEE Big Data Sita Sirisha Madugula, Blythe Dumerer, Ruben Millan-Solsona, Checa Nualart Marti, Liam Collins, Rama K. Vasudevan, Retterer Scott, Lance Zhang, Spencer Cox, Jennifer Lynn Morrell-Falvey
2024	A*	`conf`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. NeurIPS Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2024	J	`jnl`	In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
2024	J	`jnl`	Provable Meta-Learning with Low-Rank Adaptations. CoRR Jacob L. Block, Sundararajan Srinivasan, Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2024	A*	`conf`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2023	A*	`conf`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2023	J	`jnl`	InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai
2023	Misc	`conf`	Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. ICASSP Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury
2023	J	`jnl`	Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning. CoRR Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim
2023	J	`jnl`	Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai
2022	A*	`conf`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	J	`jnl`	FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2022	—	`conf`	How Does the Task Landscape Affect MAML Performance? CoLLAs Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2022	A*	`conf`	MAML and ANIL Provably Learn Representations. ICML Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2022	J	`jnl`	MAML and ANIL Provably Learn Representations. CoRR Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai
2021	A*	`conf`	Exploiting Shared Representations for Personalized Federated Learning. ICML Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2021	J	`jnl`	Exploiting Shared Representations for Personalized Federated Learning. CoRR Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai
2020	J	`jnl`	Distribution-Agnostic Model-Agnostic Meta-Learning. CoRR Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2020	A*	`conf`	Task-Robust Model-Agnostic Meta-Learning. NeurIPS Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2020	J	`jnl`	Why Does MAML Outperform ERM? An Optimization Perspective. CoRR Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
2015	Misc	`conf`	Alaska Steve: Using Virtual Reality to Enhance a 2D Platforming Game. CHI PLAY Liam Collins, Stefan Eylott, John Leedale, T. C. Nicholas Graham