Hao Zhang

According to our database, Hao Zhang authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

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

Proc. ACM Manag. Data, February, 2024

2023

Progressive Partitioning for Parallelized Query Execution in Google's Napa.

Jun'ichi Tatemura, Tao Zou, Jagan Sankaranarayanan, Yanlai Huang, Jim Chen, Yupu Zhang, Kevin Lai, Hao Zhang, Gokul Nath Babu Manoharan, Goetz Graefe, Divyakant Agrawal, Brad Adelberg, Shilpa Kolhar, Indrajit Roy

Proc. VLDB Endow., 2023

Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB.

Hao Zhang, Xianzhi Zeng, Shuhao Zhang, Xinyi Liu, Mian Lu, Zhao Zheng

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

TLM: Token-Level Masking for Transformers.

Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling.

Yangjun Wu, Han Wang, Dongxiang Zhang, Gang Chen, Hao Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google.

Ankur Agiwal, Kevin Lai, Gokul Nath Babu Manoharan, Indrajit Roy, Jagan Sankaranarayanan, Hao Zhang, Tao Zou, Jim Chen, Min Chen, Ming Dai, Thanh Do, Haoyu Gao, Haoyan Geng, Raman Grover, Bo Huang, Yanlai Huang, Adam Li, Jianyi Liang, Tao Lin, Li Liu, Yao Liu, Xi Mao, Maya Meng, Prashant Mishra, Jay Patel, Rajesh Sr, Vijayshankar Raman, Sourashis Roy, Mayank Singh Shishodia, Tianhang Sun, Justin Tang, Jun'ichi Tatemura, Sagar Trehan, Ramkumar Vadali, Prasanna Venkatasubramanian, Joey Zhang, Kefei Zhang, Yupu Zhang, Zeleng Zhuang, Goetz Graefe, Divy Agrawal, Jeffrey F. Naughton, Sujata Kosalge, Hakan Hacigümüs

Proc. VLDB Endow., 2021

2019

MemepiC: Towards a Unified In-Memory Big Data Management System.

Qingchao Cai, Hao Zhang, Wentian Guo, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Weng-Fai Wong

IEEE Trans. Big Data, 2019

2018

Efficient Distributed Memory Management with RDMA and Caching.

Qingchao Cai, Wentian Guo, Hao Zhang, Divyakant Agrawal, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Yong Meng Teo, Sheng Wang

Proc. VLDB Endow., 2018

2017

UStore: A Distributed Storage With Rich Semantics.

Tien Tuan Anh Dinh, Ji Wang, Sheng Wang, Gang Chen, Wei-Ngan Chin, Qian Lin, Beng Chin Ooi, Pingcheng Ruan, Kian-Lee Tan, Zhongle Xie, Hao Zhang, Meihui Zhang

CoRR, 2017

2015

In-Memory Big Data Management and Processing: A Survey.

Hao Zhang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Meihui Zhang

IEEE Trans. Knowl. Data Eng., 2015

In-memory Databases: Challenges and Opportunities From Software and Hardware Perspectives.

Kian-Lee Tan, Qingchao Cai, Beng Chin Ooi, Weng-Fai Wong, Chang Yao, Hao Zhang

SIGMOD Rec., 2015

A Performance Study of Big Data on Small Nodes.

Dumitrel Loghin, Bogdan Marius Tudor, Hao Zhang, Beng Chin Ooi, Yong Meng Teo

Proc. VLDB Endow., 2015

"Anti-Caching"-based elastic memory management for Big Data.

Hao Zhang, Gang Chen, Beng Chin Ooi, Weng-Fai Wong, Shensen Wu, Yubin Xia

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Efficient In-memory Data Management: An Analysis.

Hao Zhang, Bogdan Marius Tudor, Gang Chen, Beng Chin Ooi

Proc. VLDB Endow., 2014