Research1

  • 2023 - 2026 (PI. $100,000) “Parallelized Stateful Coreset Selection in Continuous Data Streams for Enhanced Stream Learning”. Funding from T1 Seed Grant.
  • 2023 - 2026 (PI. $150,000) “Parallel Data Management in Retrieval-based Language Models”. Funding from NTU Start-Up Grants.
  • 2023 - 2026 (Co-PI. $1,300,000) “Real-Time Federated Learning on Data Streams”. Funding from DTC.
  • 2023 - 2026 (PI. $500,000+) “IntelliStream: Towards Highly-Optimized, Ultra-Scalable, Self-adaptive Data Streaming Analytics in the Heterogeneous Multicore IoT Systems”. Funding from Singapore Ministry of Education (MOE) Academic Research Fund (AcRF) Tier 2.
  • 2022 - 2025 (PI - Transferred. ~$500,000) “A Stream Processing based NFV Platform for 5G on Modern Multicore Processors”. Funding from National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme.
  • 2022 - 2025 (PI - Transferred. ~$500,000) “Energy-efficient, Scalable, and Reliable Distributed Green Streaming Machine Learning for Edges. Funding from National Research Foundation, Singapore and Infocomm Media Development Authority under its Future Communications Research & Development Programme.
  • 2023 - 2023 (PI - Transferred. $100,000) “Towards Online Continual Pre-Trained Language Model Maintenance”. Funding from TL@SUTD.
  • 2022 - 2022 (PI - Completed. $67,000) “Online Sentiment Learning of Massive Data Streams”. Funding from TL@SUTD.
  • 2022 - 2025 (PI - Terminated. $80,000) “Revisiting the Algorithms for Clustering Evolving Trajectory Streams”. Funding from SUTD-ZJU (VP).
  • 2021 - 2024 (PI - Terminated. $100,000) “Efficient Intra-Window Join on the Multicore IoT systems”. Funding from SUTD STARTUP RESEARCH GRANT (SRG).

Project Highlights

PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation

AI for (Streaming) DB

Xianzhi Zeng*, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen

SIGMOD 2024

SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams

(Streaming) NLP

Yuhao Wu, Karthick Sharma, Chun Wei Seah, Shuhao Zhang

EMNLP 2023

Data Stream Clustering: An In-depth Empirical Study

Data (Stream) Mining.

Xin Wang, Zhengru Wang, Zhenyu Wu#, Shuhao Zhang, Xuanhua Shi, Li Lu

SIGMOD 2023

MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores

Data (Stream) Management System

Yancan Mao#, Jianjun Zhao, Shuhao Zhang, Haikun Liu, Volker Markl

SIGMOD 2023

 

  1. Some grants are transferred or terminated due to PI’s move from SUTD to NTU in 2023. ↩