Paper-Conference

Scalable Detection of Floating-point Errors via Adaptive Parallel Subdomain Search
In Proceedings of the 25th IEEE International Conference on Software Quality, Reliability and Security (QRS 2025)
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Optimizing Deep Learning Inference Efficiency through Block Dependency Analysis
In Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2025)
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Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators (poster)
In Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP 2025)
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Post-Link Outlining for Code Size Reduction
In Proceedings of the ACM SIGPLAN 2025 International Conference on Compiler Construction (CC 2025)
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Arfa: an Agile Regime-based Floating-point Optimization Approach for Rounding Errors
In Proceedings of the 33rd ACM International Symposium on Software Testing and Analysis (ISSTA 2024)
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Enabling Tensor Language Model to Assist in Generating High-Performance Tensor Programs for Deep Learning
In Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2024)
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A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs
In Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP 2024)
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Apollo: Automatic Partition-based Operator Fusion through Layer by Layer Optimization
In Proceedings of Machine Learning and Systems (MLSys 2022)
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Eiffel: Inferring Input Ranges of Significant Floating-point Errors via Polynomial Extrapolation
In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023)
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SIRIUS: Harvesting Whole-Program Optimization Opportunities for DNNs
In Proceedings of Machine Learning and Systems (MLSys 2023)
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