Bojian Zheng - RankMe

18 papers A* 4A 2Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models. CoRR Jinpeng Li, Zhongyi Pei, Huaze Xue, Bojian Zheng, Chen Wang, Jianmin Wang
2025	J	`jnl`	Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material. CoRR 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
2025	A	`conf`	Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. EuroSys Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko
2025	J	`jnl`	Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. CoRR Zhanda Zhu, Christina Giannoula, Muralidhar Andoorveedu, Qidong Su, Karttikeya Mangalam, Bojian Zheng, Gennady Pekhimenko
2024	—	`—`	Automatic Compiler-based Optimizations for Deep Neural Networks Bojian Zheng
2023	A*	`conf`	Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. MICRO Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2023	—	`conf`	Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. ASPLOS (2) Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2022	A	`conf`	Automatic Horizontal Fusion for GPU Kernels. CGO Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long
2022	—	`conf`	DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
2022	J	`jnl`	Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs. CoRR Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2022	A*	`conf`	Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction. NeurIPS Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko
2022	J	`jnl`	Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction. CoRR Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko
2020	J	`jnl`	Automatic Horizontal Fusion for GPU Kernels. CoRR Ao Li, Bojian Zheng, Gennady Pekhimenko, Fan Long
2020	A*	`conf`	Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training. ISCA Bojian Zheng, Nandita Vijaykumar, Gennady Pekhimenko
2018	—	`conf`	Benchmarking and Analyzing Deep Neural Network Training. IISWC Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
2018	J	`jnl`	EcoRNN: Fused LSTM RNN Implementation with Data Layout Optimization. CoRR Bojian Zheng, Akshay Nair, Qiongsi Wu, Nandita Vijaykumar, Gennady Pekhimenko
2018	J	`jnl`	TBD: Benchmarking and Analyzing Deep Neural Network Training. CoRR Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko
2017	A*	`conf`	IDEAL: image denoising accelerator. MICRO Mostafa Mahmoud, Bojian Zheng, Alberto Delmas Lascorz, Felix Heide, Jonathan Assouline, Paul Boucher, Emmanuel Onzon, Andreas Moshovos