Liang Liu

According to our database, Liang Liu authored at least 13 papers between 2017 and 2025.

Collaborative distances:

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

2025

Serendipitous Recommendation with Multimodal LLM.

Haoting Wang, Jianling Wang, Hao Li, Fangjun Yi, Mengyu Fu, Youwei Zhang, Yifan Liu, Liang Liu, Minmin Chen, Ed H. Chi, Lichan Hong, Haokai Lu

CoRR, June, 2025

Minimize Negative Experiences in Video Recommendation Systems with Multimodal Large Language Models.

Suman Malani, Youwei Zhang, Liang Liu

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model.

Zichang Liu, Qingyun Liu, Yuening Li, Liang Liu, Anshumali Shrivastava, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

CoRR, 2024

Long-Term Value of Exploration: Measurements, Findings and Algorithms.

Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System.

Zhen Zhang, Qingyun Liu, Yuening Li, Sourabh Bansod, Mingyan Gao, Yaping Zhang, Zhe Zhao, Lichan Hong, Ed H. Chi, Shuchao Bi, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

VideoRecSys + LargeRecSys 2024.

Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Saurabh Gupta, Brad Schumitsch, Arnab Bhadury, Ding Tong, Ko-Jen Hsiao, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Short-form Video Needs Long-term Interests: An Industrial Solution for Serving Large User Sequence Models.

Yuening Li, Diego Uribe, Chuan He, Jiaxi Tang, Qingyun Liu, Junjie Shan, Ben Most, Kaushik Kalyan, Shuchao Bi, Xinyang Yi, Lichan Hong, Ed H. Chi, Liang Liu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Multi-Task Neural Linear Bandit for Exploration in Recommender Systems.

Yi Su, Haokai Lu, Yuening Li, Liang Liu, Shuchao Bi, Ed H. Chi, Minmin Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views.

Yuji Roh, Qingyun Liu, Huan Gui, Zhe Yuan, Yujin Tang, Steven Euijong Whang, Liang Liu, Shuchao Bi, Lichan Hong, Ed H. Chi, Zhe Zhao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Value of Exploration: Measurements, Findings and Algorithms.

Yi Su, Xiangyu Wang, Elaine Ya Le, Liang Liu, Yuening Li, Haokai Lu, Benjamin Lipshitz, Sriraj Badam, Lukasz Heldt, Shuchao Bi, Ed H. Chi, Cristos Goodrow, Su-Lin Wu, Lexi Baugher, Minmin Chen

CoRR, 2023

Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation.

Qingyun Liu, Zhe Zhao, Liang Liu, Zhen Zhang, Junjie Shan, Yuening Li, Shuchao Bi, Lichan Hong, Ed H. Chi

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2019

Stochastic passenger train timetabling using a branch and bound approach.

Liang Liu, Maged M. Dessouky

Comput. Ind. Eng., 2019

2017

A decomposition based hybrid heuristic algorithm for the joint passenger and freight train scheduling problem.

Liang Liu, Maged M. Dessouky

Comput. Oper. Res., 2017