Bojian Zheng

According to our database, Bojian Zheng authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.

Team Hunyuan3D, Shuhui Yang, Mingxin Yang, Yifei Feng, Xin Huang, Sheng Zhang, Zebin He, Di Luo, Haolin Liu, Yunfei Zhao, Qingxiang Lin, Zeqiang Lai, Xianghui Yang, Huiwen Shi, Zibo Zhao, Bowen Zhang, Hongyu Yan, Lifu Wang, Sicong Liu, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Yulin Cai, Jiaao Yu, Yixuan Tang, Dongyuan Guo, Junlin Yu, Hao Zhang, Zheng Ye, Peng He, Runzhou Wu, Shida Wei, Chao Zhang, Yonghao Tan, Yifu Sun, Lin Niu, Shirui Huang, Bojian Zheng, Shu Liu, Shilin Chen, Xiang Yuan, Xiaofeng Yang, Kai Liu, Jianchen Zhu, Peng Chen, Tian Liu, Di Wang, Yuhong Liu, Linus, Jie Jiang, Jingwei Huang, Chunchao Guo

CoRR, June, 2025

Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization.

Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

Automatic Compiler-based Optimizations for Deep Neural Networks

Bojian Zheng

PhD thesis, 2024

2023

Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs.

Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs.

Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction.

Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DietCode: Automatic Optimization for Dynamic Tensor Programs.

Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Automatic Horizontal Fusion for GPU Kernels.

Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

2020

Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training.

Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

2018

EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization.

Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko

CoRR, 2018

TBD: Benchmarking and Analyzing Deep Neural Network Training.

Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko

CoRR, 2018

Benchmarking and Analyzing Deep Neural Network Training.

Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

2017

IDEAL: image denoising accelerator.

Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017