Haojie Ye

According to our database, Haojie Ye authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

The Last Human-Written Paper: Agent-Native Research Artifacts.

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si, Ao Qu, Xiangru Tang, Runyu Lu, Lichang Chen, Xiaoyan Bai, Haizhong Zheng, Carl Chen, Zhiyang Chen, Haojie Ye, Yujuan Fu, Zexue He, Zijian Jin, Zhenyu Zhang, Shangquan Sun, Maestro Harmon, John Dianzhuo Wang, Jianqiao Zeng, Jiachen Sun, Mingyuan Wu, Baoyu Zhou, Chenyu You, Shijian Lu, Yiming Qiu, Fan Lai, Yuan Yuan, Yao Li, Junyuan Hong, Ruihao Zhu, Beidi Chen, Alex Pentland, Ang Chen, Mosharaf Chowdhury, Zechen Zhang

CoRR, April, 2026

BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining.

Haojie Ye, Arjun Laxman, Yichao Yuan, Krisztián Flautner, Nishil Talati

CoRR, April, 2026

CMCF-DETR: a real-time lightweight DETR model for foreign object detection on coal mine conveyor belts.

Zhi Wang, Hanghang Zhou, Haojie Ye, Zhuang Chu

J. Real Time Image Process., January, 2026

2025

NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly.

Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye, Joseph Izraelevitz, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design.

Haojie Ye, Yuchen Xia, Yuhan Chen, Kuan-Yu Chen, Yichao Yuan, Shuwen Deng, Baris Kasikci, Trevor N. Mudge, Nishil Talati

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Fuzzy clustering for feature extraction in wavelet-based fault gear identification of electrical machines.

Yao Wang, Tao Yu, Tianmin Luo, Haojie Ye, Yiru Pan

J. Intell. Fuzzy Syst., January, 2024

Understanding the Performance and Estimating the Cost of LLM Fine-Tuning.

Yuchen Xia, Jiho Kim, Yuhan Chen, Haojie Ye, Souvik Kundu, Cong Callie Hao, Nishil Talati

Proceedings of the IEEE International Symposium on Workload Characterization, 2024

Program Ingredients Abstraction and Instantiation for Synthesis-based JVM Testing.

Yingquan Zhao, Zan Wang, Junjie Chen, Ruifeng Fu, Yanzhou Lu, Tianchang Gao, Haojie Ye

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.

Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati

Proc. VLDB Endow., November, 2023

Everest: GPU-Accelerated System For Mining Temporal Motifs.

Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati

Proc. VLDB Endow., 2023

In-Memory Versioning (IMV).

David Andrew Roberts, Haojie Ye, Tony Brewer, Sean Eilert

IEEE Comput. Archit. Lett., 2023

Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper).

Yingquan Zhao, Junjie Chen, Ruifeng Fu, Haojie Ye, Zan Wang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models.

Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.

Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati

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

2022

Mint: An Accelerator For Mining Temporal Motifs.

Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

NDMiner: accelerating graph pattern mining using near data processing.

Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems.

Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

CoDR: Computation and Data Reuse Aware CNN Accelerator.

Alireza Khadem, Haojie Ye, Trevor N. Mudge

CoRR, 2021

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning.

Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

CoPTA: Contiguous Pattern Speculating TLB Architecture.

Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020

Sparse-TPU: adapting systolic arrays for sparse matrices.

Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020