Publications

Author notations: * denotes the author is a student advised by Dr.Shuhao Zhang. # denotes the author is a staff advised by Dr.Shuhao Zhang.

2024

  1. [IWQoS] Low-Latency Video Conferencing via Optimized Packet Routing and Reordering
    Yao Xiao, Amelie chi Zhou, Sitian Chen, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang
    IEEE International Symposium on Quality of Service (2024)
  2. [TKDE] CStream: Parallel Data Stream Compression on Multicore Edge Devices
    Xianzhi Zeng*, Shuhao Zhang
    IEEE Transactions on Knowledge and Data Engineering (2024)
  3. [ICDE] Fast Parallel Recovery for Transactional Stream Processing on Multicores
    Jianjun Zhao*, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang
    IEEE 39rd International Conference on Data Engineering (2024)
  4. [ICDE] MorphStream: Scalable Processing of Transactions over Streams
    Siqi Xiang*, Zhonghao Yang*, Shuhao Zhang, Jianjun Zhao, Yancan Mao
    IEEE 39rd International Conference on Data Engineering (ICDE Demo) (2024)
  5. [SIGMOD] PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation
    Xianzhi Zeng*, Shuhao Zhang, Hongbin Zhong, Hao Zhang, Mian Lu, Zhao Zheng, Yuqiang Chen
    International Conference on Management of Data (SIGMOD) (2024)
  6. [SIGMOD] Predictive and Near-Optimal Sampling for View Materialization in Video Databases
    Yanchao Xu, Dongxiang Zhang, Shuhao Zhang, Sai Wu, Zexu Feng, Gang Chen
    International Conference on Management of Data (SIGMOD) (2024)

2023

  1. [EMNLP] SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
    Yuhao Wu*, Karthick Sharma*, Chun Wei Seah, Shuhao Zhang
    Empirical Methods in Natural Language Processing (long paper, main track) (2023)
    PDF
  2. [VLDBJ] A Survey on Transactional Stream Processing
    Shuhao Zhang, Juan Soto, Volker Markl
    The International Journal on Very Large Data Bases Journal (VLDBJ) (2023)
    PDF
  3. [SIGMOD] Data Stream Clustering: An In-depth Empirical Study
    Xin Wang*, Zhengru Wang*, Zhenyu Wu#, Shuhao Zhang, Xuanhua Shi, Li Lu
    International Conference on Management of Data (SIGMOD) (2023)
    PDF
  4. [ICDE] Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB
    Hao Zhang, Xianzhi Zeng*, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng
    IEEE 39rd International Conference on Data Engineering (ICDE) (2023)
    PDF
  5. [DEBS] A Hardware-Conscious Stateful Stream Compression Framework for IoT Applications (Vision)
    Xianzhi Zeng*, Shuhao Zhang
    International Conference on Distributed and Event-Based Systems (DEBS) (2023)
    PDF
  6. [SIGMOD] MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores
    Yancan Mao#, Jianjun Zhao, Shuhao Zhang, Haikun Liu, Volker Markl
    International Conference on Management of Data (SIGMOD) (2023)
    PDF
  7. [ICDE] Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores
    Xianzhi Zeng*, Shuhao Zhang
    IEEE 39rd International Conference on Data Engineering (ICDE) (2023)
    PDF
  8. [ICDE] CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression
    Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoyong Du
    In 2023 IEEE 39rd International Conference on Data Engineering (ICDE) (2023)

2022

  1. [VLDBJ] Payment behavior prediction on shared parking lots with TR-GCN
    Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du
    The VLDB Journal Jan 2022 (2022)
    PDF
  2. [MDPI] Revisiting the Design of Parallel Stream Joins on Trusted Execution Environments
    Souhail Meftah, Shuhao Zhang, Bharadwaj Veeravalli, Khin Mi Mi Aung
    MDPI Algorithms 2022 (2022)
    PDF

2021

  1. [SIGMOD] Parallelizing Intra-Window Join on Multicores: An Experimental Study
    Shuhao Zhang, Yancan Mao, Jiong He, Philipp M. Grulich, Steffen Zeuch, Bingsheng He, Richard T. B. Ma, Volker Markl
    International Conference on Management of Data (SIGMOD) (2021)
    PDF
  2. [TPDS] Fine-Grained Multi-Query Stream Processing on Integrated Architectures
    Feng Zhang, Chenyang Zhang, Lin Yang, Cheng Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du
    IEEE Transactions on Parallel and Distributed Systems (TPDS) (2021)
    PDF
  3. [TKDE] Periodic Weather-Aware LSTM with Event Mechanism for Parking Behavior Prediction
    F. Zhang, Y. Liu, N. Feng, C. Yang, J. Zhai, Shuhao Zhang, B. He, J. Lin, X. Zhang, X. Du
    IEEE Transactions on Knowledge and Data Engineering (2021)
    PDF

2020

  1. [ICDE] Towards Concurrent Stateful Stream Processing on Multicore Processors
    Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He
    IEEE 36th International Conference on Data Engineering (ICDE) (2020)
    PDF
  2. [OJIOT] NebulaStream: Complex Analytics Beyond the Cloud
    Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl
    Open Journal of Internet Of Things (OJIOT) (2020)
    PDF
  3. [IJCAI] PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
    Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du
    International Joint Conference on Artificial Intelligence (IJCAI) (2020)
    PDF
  4. [ATC] FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures
    Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du
    USENIX Annual Technical Conference (USENIX ATC 20) (2020)
    PDF
  5. [SIGMOD Rec.] Hardware-Conscious Stream Processing: A Survey
    Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns
    SIGMOD Rec. (2020)
    PDF

2019

  1. [BigMM] TraV: An Interactive Exploration System for Massive Trajectory Data
    J. Ang, T. Fu, J. Paul, Shuhao Zhang, B. He, T. S. D. Wenceslao, S. Y. Tan
    IEEE Fifth International Conference on Multimedia Big Data (BigMM) (2019)
    PDF
  2. [SIGMOD] BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures
    Shuhao Zhang, Jiong He, Amelie Chi Zhou, Bingsheng He
    Proceedings of the 2019 International Conference on Management of Data (SIGMOD) (2019)
    PDF

2017

  1. [ICDE] Multi-Query Optimization for Complex Event Processing in SAP ESP
    Shuhao Zhang, H. T. Vo, D. Dahlmeier, B. He
    IEEE 33rd International Conference on Data Engineering (ICDE) (2017)
    PDF
  2. [ICDE] Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors
    Shuhao Zhang, B. He, D. Dahlmeier, A. C. Zhou, T. Heinze
    IEEE 33rd International Conference on Data Engineering (ICDE) (2017)
    PDF
  3. [TPDS] Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures
    F. Zhang, J. Zhai, B. He, Shuhao Zhang, W. Chen
    IEEE Transactions on Parallel and Distributed Systems (2017)
    PDF

2016

  1. [SC] Elastic Multi-resource Fairness: Balancing Fairness and Efficiency in Coupled CPU-GPU Architectures
    S. Tang, B. He, Shuhao Zhang, and Z. Niu
    Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2016)
    PDF
  2. [TPDS] Melia: A MapReduce Framework on OpenCL-Based FPGAs
    Zeke Wang, Shuhao Zhang, Bingsheng He, Wei Zhang
    IEEE Transactions on Parallel and Distributed Systems (2016)
    PDF

2015

  1. [MASCOTS] To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures
    Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He, Shuhao Zhang
    IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (2015)
    PDF

2014

  1. [VLDB] In-Cache Query Co-Processing on Coupled CPU-GPU Architectures
    Jiong He, Shuhao Zhang, Bingsheng He
    Proceedings of the VLDB Endowment (2014)
    PDF

2013

  1. [VLDB] OmniDB: Towards Portable and Efficient Query Processing on Parallel CPU/GPU Architectures
    Shuhao Zhang, Jiong He, Bingsheng He, Mian Lu
    Proceedings of the VLDB Endowment (2013)
    PDF

Preprints (Technical Reports)

  1. Online Continual Knowledge Learning for Language Models Yuhao Wu, Tongjun Shi, Karthick Sharma, Chun Wei Seah, Shuhao Zhang
    PDF
  2. A Modular and Self-Optimizing Algorithm for Data Stream Clustering Zhengru Wang, Xin Wang, Shuhao Zhang
    PDF
  3. TransNFV: Integrating Transactional Semantics for Efficient State Management in Virtual Network Functions Zhonghao Yang, Shuhao Zhang, Binbin Chen
    PDF
  4. Harnessing Scalable Transactional Stream Processing for Managing Large Language Models Shuhao Zhang, Xianzhi Zeng, Yuhao Wu, Zhonghao Yang
    PDF
  5. CStream: Parallel Data Stream Compression on Multicore Edge Devices Xianzhi Zeng and Zhang, Shuhao
    PDF
  6. MorphStream: Scalable Processing of Transactions over Streams on Multicores Yancan Mao, Jianjun Zhao, Haikun Liu, Shuhao Zhang, Volker Markl
    PDF
  7. A Framework for Fast Polarity Labelling of Massive Data Streams Huilin Wu, Mian Lu, Zhao Zheng, Shuhao Zhang
    PDF