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ORCIDHaojie Wang 0004
Person information
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Haojie Wang — disambiguation page
- Haojie Wang 0001
![[0009-0002-7553-4472]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0002-7553-4472")
— Dali University, Yunnan, China - Haojie Wang 0002 — Hohai University, Nanjing, China
- Haojie Wang 0003 — Sichuan University, Chengdu, China
- Haojie Wang 0005 — University of Electronic Science and Technology of China, Chengdu, China
- Haojie Wang 0006 — Stanford University, Stanford, CA, USA
- Haojie Wang 0007 — Hebei University of Technology, Tianjin, China
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2020 – today
- 2026
[j8]Jingyi Wang, Jia Wang, Jun Gao, Yan Cao, Yang Zhai, Haojie Wang, Wanxin Song, Dezhi Kong, Liu Liu, Wei Li, Zhaofeng He:
UniOrch: A Unified Mixed Framework for High-Efficiency LLM Training on Heterogeneous AI Chips. IEEE Trans. Parallel Distributed Syst. 37(6): 1219-1234 (2026)- [c22]Chengzhang Wu, Liyan Zheng, Haojie Wang, Kezhao Huang, Zixuan Ma, Dong Dong, Jidong Zhai:
ChituDiffusion: A Data-Characteristic-Aware Serving System for Diffusion Models. PPoPP 2026: 537-550 - 2025
- [j7]Yuyang Jin, Haojie Wang, Xiongchao Tang, Zhenhua Guo, Yaqian Zhao, Torsten Hoefler, Tao Liu, Xu Liu, Jidong Zhai:
Leveraging Graph Analysis to Pinpoint Root Causes of Scalability Issues for Parallel Applications. IEEE Trans. Parallel Distributed Syst. 36(2): 308-325 (2025) - [c21]Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai:
IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. CGO 2025: 107-122 - [i6]Jianian Zhu, Hang Wu, Haojie Wang, Yinghui Li, Biao Hou, Ruixuan Li, Jidong Zhai:
FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework. CoRR abs/2503.08461 (2025) - [i5]Hang Wu, Jianian Zhu, Yinghui Li, Haojie Wang, Biao Hou, Jidong Zhai:
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models. CoRR abs/2505.07680 (2025) - 2024
- [j6]Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Xia Liao, Feng Zhang, Jidong Zhai:
Graph-Centric Performance Analysis for Large-Scale Parallel Applications. IEEE Trans. Parallel Distributed Syst. 35(7): 1221-1238 (2024) - [c20]Zhenbo Sun, Huanqi Cao, Yuanwei Wang, Guanyu Feng, Shengqi Chen, Haojie Wang, Wenguang Chen:
AdaPipe: Optimizing Pipeline Parallelism with Adaptive Recomputation and Partitioning. ASPLOS (3) 2024: 86-100 - [c19]Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia:
Optimal Kernel Orchestration for Tensor Programs with Korch. ASPLOS (3) 2024: 755-769 - [c18]Kezhao Huang, Jidong Zhai, Liyan Zheng, Haojie Wang, Yuyang Jin, Qihao Zhang, Runqing Zhang, Zhen Zheng, Youngmin Yi, Xipeng Shen:
WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations. EuroSys 2024: 1-17 - [c17]Chen Zhang, Rongchao Dong, Haojie Wang, Runxin Zhong, Jike Chen, Jidong Zhai:
MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States. USENIX ATC 2024: 683-698 - [i4]Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia:
Optimal Kernel Orchestration for Tensor Programs with Korch. CoRR abs/2406.09465 (2024) - 2023
- [j5]Zixuan Ma, Yuyang Jin, Shizhi Tang, Haojie Wang, Wei-Cheng Xue, Jidong Zhai, Wei-Min Zheng:
Unified Programming Models for Heterogeneous High-Performance Computers. J. Comput. Sci. Technol. 38(1): 211-218 (2023) - [j4]Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia:
Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections. IEEE Trans. Computers 72(12): 3546-3560 (2023) - [c16]Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shuhong Huang, Xupeng Miao, Shizhi Tang, Kezhao Huang, Zhihao Jia:
EINNET: Optimizing Tensor Programs with Derivation-Based Transformations. OSDI 2023: 739-755 - [c15]Tianhui Shi, Jidong Zhai, Haojie Wang, Qiqian Chen, Mingshu Zhai, Zixu Hao, Haoyu Yang, Wenguang Chen:
GraphSet: High Performance Graph Mining through Equivalent Set Transformations. SC 2023: 32:1-32:14 - [i3]Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai:
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. CoRR abs/2307.04995 (2023) - 2022
- [j3]Jidong Zhai, Liyan Zheng, Feng Zhang, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen:
Detecting Performance Variance for Parallel Applications Without Source Code. IEEE Trans. Parallel Distributed Syst. 33(10): 4239-4255 (2022) - [c14]Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai:
Efficiently emulating high-bitwidth computation with low-bitwidth hardware. ICS 2022: 5:1-5:12 - [c13]Shizhi Tang, Jidong Zhai, Haojie Wang, Lin Jiang, Liyan Zheng, Zhenhao Yuan, Chen Zhang:
FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs. PLDI 2022: 872-887 - [c12]Jiaao He, Jidong Zhai, Tiago Antunes, Haojie Wang, Fuwen Luo, Shangfeng Shi, Qin Li:
FasterMoE: modeling and optimizing training of large-scale dynamic pre-trained models. PPoPP 2022: 120-134 - [c11]Liyan Zheng, Jidong Zhai, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen:
Vapro: performance variance detection and diagnosis for production-run parallel applications. PPoPP 2022: 150-162 - [c10]Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Jidong Zhai:
PerFlow: a domain specific framework for automatic performance analysis of parallel applications. PPoPP 2022: 177-191 - [c9]Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen:
BaGuaLu: targeting brain scale pretrained models with over 37 million cores. PPoPP 2022: 192-204 - [c8]Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, Jidong Zhai:
UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation. SC 2022: 49:1-49:16 - [i2]Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia:
OLLIE: Derivation-based Tensor Program Optimizer. CoRR abs/2208.02025 (2022) - 2021
- [j2]Xiaohan Li, Bowen Yu, Guanyu Feng, Haojie Wang, Wenguang Chen:
LotusSQL: SQL engine for high-performance big data systems. Big Data Min. Anal. 4(4): 252-265 (2021) - [j1]Bowen Yu, Guanyu Feng, Huanqi Cao, Xiaohan Li, Zhenbo Sun, Haojie Wang, Xiaowei Zhu, Weimin Zheng, Wenguang Chen:
Chukonu: A Fully-Featured Big Data Processing System by Efficiently Integrating a Native Compute Engine into Spark. Proc. VLDB Endow. 15(4): 872-885 (2021) - [c7]Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen:
Sparker: Efficient Reduction for More Scalable Machine Learning with Spark. ICPP 2021: 58:1-58:11 - [c6]Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, Jidong Zhai:
HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. ICS 2021: 443-454 - [c5]Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia:
PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. OSDI 2021: 37-54 - 2020
- [c4]Yuyang Jin, Haojie Wang, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
Identifying scalability bottlenecks for large-scale parallel programs with graph analysis. PPoPP 2020: 409-410 - [c3]Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: automating scaling loss detection with graph analysis. SC 2020: 28 - [i1]Yuyang Jin, Haojie Wang, Teng Yu, Xiongchao Tang, Torsten Hoefler, Xu Liu, Jidong Zhai:
ScalAna: Automating Scaling Loss Detection with Graph Analysis. CoRR abs/2009.01692 (2020)
2010 – 2019
- 2019
- [c2]Xiongchao Tang, Haojie Wang, Xiaosong Ma, Nosayba El-Sayed, Jidong Zhai, Wenguang Chen, Ashraf Aboulnaga:
Spread-n-share: improving application performance and cluster throughput with resource-aware job placement. SC 2019: 12:1-12:15 - 2018
- [c1]Haojie Wang, Jidong Zhai, Xiongchao Tang, Bowen Yu, Xiaosong Ma, Wenguang Chen:
Spindle: Informed Memory Access Monitoring. USENIX ATC 2018: 561-574
Coauthor Index
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last updated on 2026-06-26 02:23 CEST by the dblp team
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