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2020 – today
- 2025
[c10]Yuhui Zhang, Yuchang Su, Yiming Liu, Xiaohan Wang, James Burgess, Elaine Sui, Chenyu Wang, Josiah Aklilu, Alejandro Lozano, Anjiang Wei, Ludwig Schmidt, Serena Yeung-Levy:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CVPR 2025: 29580-29590- [c9]Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken:
Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces. ICML 2025 - [i14]Yuhui Zhang, Yuchang Su, Yiming Liu, Xiaohan Wang, James Burgess, Elaine Sui, Chenyu Wang, Josiah Aklilu, Alejandro Lozano, Anjiang Wei, Ludwig Schmidt, Serena Yeung-Levy:
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation. CoRR abs/2501.03225 (2025) - [i13]Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang, Ziheng Wang, Yaofeng Sun, Yuan Liu, Thiago S. F. X. Teixeira, Diyi Yang, Ke Wang, Alex Aiken:
EquiBench: Benchmarking Code Reasoning Capabilities of Large Language Models via Equivalence Checking. CoRR abs/2502.12466 (2025) - [i12]Anjiang Wei, Tarun Suresh, Jiannan Cao, Naveen Kannan, Yuheng Wu, Kai Yan, Thiago S. F. X. Teixeira, Ke Wang, Alex Aiken:
CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis. CoRR abs/2503.23145 (2025) - [i11]Anjiang Wei, Huanmi Tan, Tarun Suresh, Daniel Mendoza, Thiago S. F. X. Teixeira, Ke Wang, Caroline Trippel, Alex Aiken:
VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation. CoRR abs/2504.15659 (2025) - [i10]Jie JW Wu, Manav Chaudhary, Davit Abrahamyan
, Arhaan Khaku, Anjiang Wei, Fatemeh H. Fard:
ClarifyCoder: Clarification-Aware Fine-Tuning for Programmatic Problem Solving. CoRR abs/2504.16331 (2025) - [i9]Anjiang Wei, Tarun Suresh, Huanmi Tan, Yinglun Xu, Gagandeep Singh, Ke Wang, Alex Aiken:
Improving Assembly Code Performance with Large Language Models via Reinforcement Learning. CoRR abs/2505.11480 (2025) - [i8]Anjiang Wei, Yuheng Wu, Yingjia Wan, Tarun Suresh, Huanmi Tan, Zhanke Zhou, Sanmi Koyejo, Ke Wang, Alex Aiken:
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas. CoRR abs/2505.14615 (2025) - [i7]Anjiang Wei, Rohan Yadav, Hang Song, Wonchan Lee, Ke Wang, Alex Aiken:
Mapple: A Domain-Specific Language for Mapping Distributed Heterogeneous Parallel Programs. CoRR abs/2507.17087 (2025) - [i6]Anjiang Wei, Hang Song, Mert Hidayetoglu, Elliott Slaughter, Sanjiva K. Lele, Alex Aiken:
Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations. CoRR abs/2508.05020 (2025) - [i5]Anjiang Wei, Tianran Sun, Yogesh Seenichamy, Hang Song, Anne Ouyang, Azalia Mirhoseini, Ke Wang, Alex Aiken:
Astra: A Multi-Agent System for GPU Kernel Performance Optimization. CoRR abs/2509.07506 (2025) - [i4]Anjiang Wei, Tarun Suresh, Tianran Sun, Haoze Wu, Ke Wang, Alex Aiken:
InvBench: Can LLMs Accelerate Program Verification with Invariant Synthesis? CoRR abs/2509.21629 (2025) - 2024
- [i3]Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken:
Improving Parallel Program Performance Through DSL-Driven Code Generation with LLM Optimizers. CoRR abs/2410.15625 (2024) - 2023
- [c8]Anjiang Wei, Akash Levy, Pu Yi, Robert M. Radway, Priyanka Raina, Subhasish Mitra, Sara Achour:
PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM. ICCAD 2023: 1-9 - 2022
- [j3]Size Zheng, Renze Chen, Yicheng Jin, Anjiang Wei, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang:
NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training. IEEE Trans. Parallel Distributed Syst. 33(11): 3220-3232 (2022) - [c7]Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. ICSE 2022: 995-1007 - [c6]Anjiang Wei, Pu Yi, Zhengxi Li, Tao Xie, Darko Marinov, Wing Lam:
Preempting Flaky Tests via Non-Idempotent-Outcome Tests. ICSE 2022: 1730-1742 - [c5]Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang:
AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. ISCA 2022: 874-887 - [c4]Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, Jonathan Bell:
A Large-Scale Longitudinal Study of Flaky Tests. Software Engineering 2022: 57-59 - [c3]Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang:
Fuzzing deep-learning libraries via automated relational API inference. ESEC/SIGSOFT FSE 2022: 44-56 - [i2]Anjiang Wei, Yinlin Deng, Chenyuan Yang, Lingming Zhang:
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source. CoRR abs/2201.06589 (2022) - [i1]Yinlin Deng, Chenyuan Yang, Anjiang Wei, Lingming Zhang:
Fuzzing Deep-Learning Libraries via Automated Relational API Inference. CoRR abs/2207.05531 (2022) - 2021
- [j2]Pu Yi, Anjiang Wei, Wing Lam, Tao Xie, Darko Marinov:
Finding Polluter Tests Using Java PathFinder. ACM SIGSOFT Softw. Eng. Notes 46(3): 37-41 (2021) - [c2]Peilun Zhang, Yanjie Jiang, Anjiang Wei, Victoria Stodden, Darko Marinov, August Shi:
Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications. ICSE 2021: 50-61 - [c1]Anjiang Wei, Pu Yi, Tao Xie, Darko Marinov, Wing Lam:
Probabilistic and Systematic Coverage of Consecutive Test-Method Pairs for Detecting Order-Dependent Flaky Tests. TACAS (1) 2021: 270-287 - 2020
- [j1]Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, Jonathan Bell:
A large-scale longitudinal study of flaky tests. Proc. ACM Program. Lang. 4(OOPSLA): 202:1-202:29 (2020)
Coauthor Index
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