Scholar
Anjiang Wei
Google Scholar ID: HoG_nZAAAAAJ
Stanford University
Computer Science
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Citations & Impact
All-time
Citations
756
H-index
10
i10-index
10
Publications
20
Co-authors
8
list available
Contact
Email
anjiang@cs.stanford.edu
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Publications
14 items
AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
2025
Cited
0
Equivalence Checking of ML GPU Kernels
2025
Cited
0
InvBench: Can LLMs Accelerate Program Verification with Invariant Synthesis?
2025
Cited
0
Astra: A Multi-Agent System for GPU Kernel Performance Optimization
2025
Cited
0
Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations
2025
Cited
0
Mapple: A Domain-Specific Language for Mapping Distributed Heterogeneous Parallel Programs
2025
Cited
0
SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
2025
Cited
0
Improving Assembly Code Performance with Large Language Models via Reinforcement Learning
2025
Cited
0
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Resume (English only)
Academic Achievements
“Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces,” ICML 2025 (Oral Presentation)
“CodeARC: Benchmarking Reasoning Capabilities of LLM Agents for Inductive Program Synthesis,” COLM 2025
“SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas,” EMNLP 2025
“EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking,” EMNLP 2025
“SuperCoder: Assembly Program Superoptimization with Large Language Models,” NeurIPS 2025 DL4C Workshop
“Astra: A Multi-Agent System for GPU Kernel Performance Optimization,” NeurIPS 2025 DL4C Workshop
“InvBench: Can LLMs Accelerate Program Verification with Invariant Synthesis?,” Preprint
“VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation,” NeurIPS 2025 DL4C Workshop
“Mapple: A Domain-Specific Language for Mapping Distributed Heterogeneous Parallel Programs,” Preprint
“Task-Based Programming for Adaptive Mesh Refinement in Compressible Flow Simulations,” Preprint
“Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation,” CVPR 2025
“PBA: Percentile-Based Level Allocation for Multiple-Bits-Per-Cell RRAM,” ICCAD 2023
Co-authors
8 total
Co-author 1
Alex Aiken
Professor of Computer Science, Stanford University
Tao Xie
Peking University Chair Professor, Fudan University Adjunct Top-Talent Professor
Co-author 4
Yun (Eric) Liang
Professor of EECS, Peking University, ACM Distinguished Scientist
Co-author 6
Caroline Trippel
Assistant Professor, Stanford University
Subhasish Mitra
William E. Ayer Endowed Chair Professor, Stanford University
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