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 001; Ronald G. Dreslinski; Trevor N. Mudge (ICS, 2020)

CoPTA: Contiguous Pattern Speculating TLB Architecture. - Yichen Yang 005; Haojie Ye; Yuhan Chen; Xueyang Liu; Nishil Talati; Xin He; Trevor N. Mudge; Ronald G. Dreslinski (SAMOS, 2020)

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. - Nishil Talati; Di Jin 003; Haojie Ye; Ajay Brahmakshatriya; Ganesh S. Dasika; Saman P. Amarasinghe; Trevor N. Mudge; Danai Koutra; Ronald G. Dreslinski (IISWC, 2021)

CoDR: Computation and Data Reuse Aware CNN Accelerator. - Alireza Khadem; Haojie Ye; Trevor N. Mudge (CoRR, 2021)

Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems. - Leul Belayneh; Haojie Ye; Kuan-Yu Chen 001; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski; Nishil Talati (PACT, 2022)

NDMiner: accelerating graph pattern mining using near data processing. - Nishil Talati; Haojie Ye; Yichen Yang 005; Leul Belayneh; Kuan-Yu Chen 001; David T. Blaauw; Trevor N. Mudge; Ronald G. Dreslinski (ISCA, 2022)

Mint: An Accelerator For Mining Temporal Motifs. - Nishil Talati; Haojie Ye; Sanketh Vedula; Kuan-Yu Chen 001; Yuhan Chen; Daniel Liu; Yichao Yuan; David T. Blaauw; Alex M. Bronstein; Trevor N. Mudge; Ronald G. Dreslinski (MICRO, 2022)

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. - Haojie Ye; Sanketh Vedula; Yuhan Chen; Yichen Yang 005; Alex M. Bronstein; Ronald G. Dreslinski; Trevor N. Mudge; Nishil Talati (ASPLOS (3), 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 (ISLPED, 2023)

Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper). - Yingquan Zhao; Junjie Chen 003; Ruifeng Fu; Haojie Ye; Zan Wang (ISSTA, 2023)

In-Memory Versioning (IMV). - David Andrew Roberts; Haojie Ye; Tony Brewer; Sean Eilert (IEEE Comput. Archit. Lett., 2023)

Everest: GPU-Accelerated System For Mining Temporal Motifs. - Yichao Yuan; Haojie Ye; Sanketh Vedula; Wynn Kaza; Nishil Talati (Proc. VLDB Endow., 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., 2023)

Program Ingredients Abstraction and Instantiation for Synthesis-based JVM Testing. - Yingquan Zhao; Zan Wang; Junjie Chen 003; Ruifeng Fu; Yanzhou Lu; Tianchang Gao; Haojie Ye (CCS, 2024)

Understanding the Performance and Estimating the Cost of LLM Fine-Tuning. - Yuchen Xia; Jiho Kim; Yuhan Chen; Haojie Ye; Souvik Kundu 002; Cong Callie Hao; Nishil Talati (IISWC, 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., 2024)

Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design. - Haojie Ye; Yuchen Xia; Yuhan Chen; Kuan-Yu Chen 001; Yichao Yuan; Shuwen Deng; Baris Kasikci; Trevor N. Mudge; Nishil Talati (HPCA, 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 (ISCA, 2025)