ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development.
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Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025
Extracting Top- Frequent and Diversified Patterns in Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., February, 2024
ByteCheckpoint: A Unified Checkpointing System for LLM Development.
CoRR, 2024
LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Can Large Language Models Identify And Reason About Security Vulnerabilities? Not Yet.
CoRR, 2023
GHive: A Demonstration of GPU-Accelerated Query Processing in Apache Hive.
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Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
GHive: accelerating analytical query processing in apache hive via CPU-GPU heterogeneous computing.
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Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022
On m-Impact Regions and Standing Top-k Influence Problems.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Fast Core-based Top-k Frequent Pattern Discovery in Knowledge Graphs.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021