Haojie Ye

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Graph Properties

Data Processing

Top Venues

Proc. VLDB Endow.

Publications

Yao Wang, Tao Yu, Tianmin Luo, Haojie Ye, Yiru Pan
Fuzzy clustering for feature extraction in wavelet-based fault gear identification of electrical machines. J. Intell. Fuzzy Syst. 46 (1) (2024)
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. CoRR (2023)
Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati
Everest: GPU-Accelerated System For Mining Temporal Motifs. Proc. VLDB Endow. 17 (2) (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. 17 (3) (2023)
Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. ISLPED (2023)
Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR (2023)
Yingquan Zhao, Junjie Chen, Ruifeng Fu, Haojie Ye, Zan Wang
Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper). ISSTA (2023)
David Andrew Roberts, Haojie Ye, Tony Brewer, Sean Eilert
In-Memory Versioning (IMV). IEEE Comput. Archit. Lett. 22 (1) (2023)
Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati
Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems. PACT (2022)
Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski
NDMiner: accelerating graph pattern mining using near data processing. ISCA (2022)
Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex Bronstein, Trevor N. Mudge, Ronald G. Dreslinski
Mint: An Accelerator For Mining Temporal Motifs. MICRO (2022)
Alireza Khadem, Haojie Ye, Trevor N. Mudge
CoDR: Computation and Data Reuse Aware CNN Accelerator. CoRR (2021)
Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. IISWC (2021)
Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge
Sparse-TPU: adapting systolic arrays for sparse matrices. ICS (2020)
Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski
CoPTA: Contiguous Pattern Speculating TLB Architecture. SAMOS (2020)