Liu, Shengzhong

1. FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
   2023/10/30 by Shengzhong Liu, Tomoyoshi Kimura, Liu, Shengzhong +13 · 9 citations
   Computer Science · Engineering · #Music and Audio Processing #Advanced Chemical Sensor Technologies #Time Series Analysis and Forecasting
2. Revisiting Over-smoothing in Deep GCNs
   2020/03/30 by Chaoqi Yang, Ruijie Wang, Yang, Chaoqi +7 · 8 citations
   Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
3. Scheduling Real-time Deep Learning Services as Imprecise Computations
   2020/11/02 by Yao, Shuochao, Hao, Yifan, Zhao, Yiran +6 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Systems and Control (eess.SY) #electronic engineering #information engineering
4. Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs
   2022/10/16 by Ruijie Wang, Wang, Ruijie, Zheng Li +10 · 1 citation
   Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Topic Modeling #Data Quality and Management
5. On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
   2024/04/03 by Tomoyoshi Kimura, Jinyang Li, Kimura, Tomoyoshi +21 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Speech and Audio Processing #Structural Health Monitoring Techniques #electronic engineering #information engineering
6. TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling
   2025/10/03 by Chen, Junyi, Du, Chuheng, Liu, Renyuan +6 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)