8 citations · 12 across the 6 of their papers we have counts for
6 papers
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding
Shenggui Li, Chao Wang, Yikai Zhu +14
Large language models incur high inference latency due to sequential autoregressive decoding. Speculative decoding alleviates this bottleneck by using a lightweight draft model to…
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised Approach
Laixin Xie, Ying Zhang, Xiyuan Wang +6
Influence Maximization (IM) in temporal graphs focuses on identifying influential "seeds" that are pivotal for maximizing network expansion. We advocate defining these seeds throug…
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
Laixin Xie, Yang Ouyang, Longfei Chen +2
Missing data can pose a challenge for machine learning (ML) modeling. To address this, current approaches are categorized into feature imputation and label prediction and are prima…
Understanding Auto-Scheduling Optimizations for Model Deployment via Visualizations
Laixin Xie, Chenyang Zhang, Ruofei Ma +4
After completing the design and training phases, deploying a deep learning model onto specific hardware is essential before practical implementation. Targeted optimizations are nec…
RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics
Laixin Xie, Ziming Wu, Peng Xu +3
Massively multiplayer online role-playing games create virtual communities that support heterogeneous "social roles" determined by gameplay interaction behaviors under a specific s…
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
Yun Tian, He Wang, Laixin Xie +2
As a decentralized training approach, federated learning enables multiple organizations to jointly train a model without exposing their private data. This work investigates vertica…