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NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training

by Zheng, Size, Chen, Renze, Jin, Yicheng, Wei, Anjiang, Wu, Bingyang, Li, Xiuhong, Yan, Shengen, Liang, Yun
Published in IEEE transactions on parallel and distributed systems (01.11.2022)

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PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM

by Wei, Anjiang, Levy, Akash, Yi, Pu, Radway, Robert M., Raina, Priyanka, Mitra, Subhasish, Achour, Sara
Published in 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD) (28.10.2023)

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Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

by Wei, Anjiang, Deng, Yinlin, Yang, Chenyuan, Zhang, Lingming
Published in 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) (01.05.2022)

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A large-scale longitudinal study of flaky tests

by Lam, Wing, Winter, Stefan, Wei, Anjiang, Xie, Tao, Marinov, Darko, Bell, Jonathan
Published in Proceedings of ACM on programming languages (13.11.2020)

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Preempting Flaky Tests via Non-Idempotent-Outcome Tests

by Wei, Anjiang, Yi, Pu, Li, Zhengxi, Xie, Tao, Marinov, Darko, Lam, Wing
Published in 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE) (01.05.2022)

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Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications

by Zhang, Peilun, Jiang, Yanjie, Wei, Anjiang, Stodden, Victoria, Marinov, Darko, Shi, August
Published in 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) (01.05.2021)

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Fuzzing Deep-Learning Libraries via Automated Relational API Inference

by Deng, Yinlin, Yang, Chenyuan, Wei, Anjiang, Zhang, Lingming
Year of Publication 12.07.2022

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Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers

by Wei, Anjiang, Nie, Allen, Teixeira, Thiago S. F. X, Yadav, Rohan, Lee, Wonchan, Wang, Ke, Aiken, Alex
Year of Publication 21.10.2024

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Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

by Wei, Anjiang, Deng, Yinlin, Yang, Chenyuan, Zhang, Lingming
Year of Publication 17.01.2022

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Fuzzing Deep-Learning Libraries via Automated Relational API Inference

by Deng, Yinlin, Yang, Chenyuan, Anjiang Wei, Zhang, Lingming
Published in arXiv.org (12.07.2022)

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Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers

by Anjiang Wei, Nie, Allen, Thiago S F X Teixeira, Yadav, Rohan, Lee, Wonchan, Wang, Ke, Aiken, Alex
Published in arXiv.org (21.10.2024)

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Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source

by Anjiang Wei, Deng, Yinlin, Yang, Chenyuan, Zhang, Lingming
Published in arXiv.org (25.02.2022)

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