✨ 最新动态2025.02 · 论文《ScaleFusion: Scalable Inference of Spatial-Temporal Diffusion Transformers for High-Resolution Long Video Generation》被 MLSys 2025 接收。2023.09 · 论文《Minuet: Accelerating 3D Sparse Convolutions on GPUs》被 EuroSys 2024 接收。
💼 工作经历亚马逊云科技(AWS)应用科学家实习生2024.09 - 2025.01Santa Clara, CA, US优化 AWS P4d 上的视频生成工作负载,通过通信—计算重叠实现最高 1.58× 加速。字节跳动研究实习生2019.02 - 2019.06Shanghai, China探索将预训练语言模型引入神经机器翻译,设计并验证多种 BERT 知识蒸馏方案。优化训练数据管线。
🧪 研究经历多伦多大学研究助理2019.10 - 2026.04Toronto, Canada在 Gennady Pekhimenko 教授指导下从事机器学习系统与高性能系统研究。代表工作包括 Minuet、ScaleFusion 与 StreamFusion。麻省理工学院研究实习生2018.07 - 2018.12Cambridge, US在韩松教授指导下研究强化学习驱动的电路自动化设计。代表工作包括论文 Learning to Design Circuits。上海交通大学研究助理2017.06 - 2018.06Shanghai, China在张伟楠与俞勇教授团队参与强化学习与学习增强系统研究。代表工作包括多智能体强化学习平台 MAgent。
多伦多大学研究助理2019.10 - 2026.04Toronto, Canada在 Gennady Pekhimenko 教授指导下从事机器学习系统与高性能系统研究。代表工作包括 Minuet、ScaleFusion 与 StreamFusion。
麻省理工学院研究实习生2018.07 - 2018.12Cambridge, US在韩松教授指导下研究强化学习驱动的电路自动化设计。代表工作包括论文 Learning to Design Circuits。
🎓 教育经历多伦多大学计算机科学 · 博士2020.09 - 至今Toronto, Canada多伦多大学计算机工程 · 硕士2019.09 - 2021.06Toronto, Canada上海交通大学 · ACM 班计算机科学 · 学士2015.09 - 2019.06Shanghai, China
StreamFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUsarXivarXiv preprint · 2026Jiacheng Yang, Jun Wu, Yaoyao Ding, Zhiying Xu, Yida Wang, Gennady Pekhimenko📄 论文
TypyBench: Evaluating LLM Type Inference for Untyped Python RepositoriesICML'25International Conference on Machine Learning (ICML) · 2025Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si📄 论文
ScaleFusion: Scalable Inference of Spatial-Temporal Diffusion Transformers for High-Resolution Long Video GenerationMLSys'25Proceedings of Machine Learning and Systems (MLSys) · 2025Jiacheng Yang, Jun Wu, Zhen Zhang, Xinwei Fu, Zhiying Xu, Zhen Jia, Yida Wang, Gennady Pekhimenko📄 论文
HybridTier: An Adaptive and Lightweight CXL-Memory Tiering SystemASPLOS'25ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 2025Kevin Song, Jiacheng Yang, Zixuan Wang, Jishen Zhao, Sihang Liu, Gennady Pekhimenko📄 论文
Boom: Use Your Desktop to Accurately Predict the Performance of Large Deep Neural NetworksPACT'24International Conference on Parallel Architectures and Compilation Techniques (PACT) · 2024Qidong Su, Jiacheng Yang, Gennady Pekhimenko📄 论文
Lightweight Frequency-Based Tiering for CXL Memory SystemsarXivarXiv preprint · 2024Kevin Song, Jiacheng Yang, Sihang Liu, Gennady Pekhimenko📄 论文
Minuet: Accelerating 3D Sparse Convolutions on GPUsEuroSys'24Proceedings of the Nineteenth European Conference on Computer Systems (EuroSys) · 2024Jiacheng Yang, Christina Giannoula, Jun Wu, Mostafa Elhoushi, James Gleeson, Gennady Pekhimenko📄 论文 Code (GitHub)
PyGim: An Efficient Graph Neural Network Library for Real Processing-in-Memory ArchitecturesPOMACS'24Proceedings of the ACM on Measurement and Analysis of Computing Systems · 2024Christina Giannoula, Peiming Yang, Ivan Fernandez, Jiacheng Yang, Sankeerth Durvasula, Yu Xin Li, Mohammad Sadrosadati, Juan Gomez Luna, Onur Mutlu, Gennady Pekhimenko📄 论文 Code (GitHub)
Enabling Privacy-Preserving Model Personalization via On-Device Incremental TrainingThesisMaster's Thesis, University of Toronto · 2022Jiacheng Yang📄 论文
Towards Making the Most of BERT in Neural Machine TranslationAAAI'20Proceedings of the AAAI Conference on Artificial Intelligence · 2020Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li📄 论文
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement LearningDAC'2057th ACM/IEEE Design Automation Conference (DAC) · 2020Hanrui Wang, Kuan Wang, Jiacheng Yang, Linxiao Shen, Nan Sun, Hae-Seung Lee, Song Han📄 论文
Park: An Open Platform for Learning-Augmented Computer SystemsNeurIPS'19Advances in Neural Information Processing Systems (NeurIPS) 32 · 2019Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh📄 论文 Code (GitHub)
Learning to Design CircuitsarXivarXiv preprint arXiv:1812.02734 · 2018Jiacheng Yang*, Hanrui Wang*, Hae-Seung Lee, Song Han📄 论文
MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective IntelligenceAAAI'18Proceedings of the AAAI Conference on Artificial Intelligence · 2018Jiacheng Yang*, Lianmin Zheng*, Han Cai, Weinan Zhang, Jun Wang, Yong Yu📄 论文 Code (GitHub) YouTube 视频
Path-Level Network Transformation for Efficient Architecture SearchICML'18International Conference on Machine Learning (ICML) · 2018Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu📄 论文