You-Liang Huang

According to our database, You-Liang Huang authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

DeInfer: Efficient Parallel Inferencing for Decomposed Large Language Models.

You-Liang Huang, Xinhao Huang, Chengxi Liao, Zeyi Wen

CoRR, April, 2026

2025

When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study.

Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim

Proceedings of the ACM on Web Conference 2025, 2025

MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition.

Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Fine-Tuning of Large Models Via Nested Low-Rank Adaptation.

Lujun Li, Cheng Lin, Dezhi Li, You-Liang Huang, Wei Li, Tianyu Wu, Jie Zou, Wei Xue, Sirui Han, Yike Guo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression.

Xinhao Huang, You-Liang Huang, Zeyi Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning.

Minping Chen, You-Liang Huang, Zeyi Wen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation.

Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim

Proceedings of the ACM on Web Conference 2024, 2024

2023

StyleTerrain: A novel disentangled generative model for controllable high-quality procedural terrain generation.

You-Liang Huang, Xue-Feng Yuan

Comput. Graph., November, 2023

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.

Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim

CoRR, 2023