Selected Publications

[HPCA'25] Jiaqi Yang, Hao Zheng, and Ahmed Louri, “I-DGNN: A Graph Dissimilarity-based Framework for Designing Scalable and Efficient DGNN Accelerators”, in Proceedings of IEEE International Symposium on High-Performance Computer Architecture (HPCA), Las Vegas, NV, March 2025.

[MICRO'24] Lingxiang Yin, Sanjay Gandham, Mingjie Lin, Hao Zheng, “SCALE: A Structure-Centric Accelerator for Message Passing Graph Neural Networks”, in Proceedings of IEEE/ACM International Symposium on Microarchitecture (MICRO), Austin, Texas, November 2-6, 2024. 

[ICCAD'24] Sanjay Gandham, Joe Walston, Sourav Samanta, Lingxiang Yin, Hao Zheng, Mingjie Lin, Stelios Diamantidis, "CircuitSeer: RTL Post-PnR Delay Prediction via Coupling Functional and Structural Representation", in Proceedings of ACM/IEEE International Conference on Computer-Aided Design (ICCAD), New Jersey, USA, Oct 27-21, 2024. 

[DAC'24] Fangzhou Ye, Lingxiang Yin, Amir Ghazizadeh Ahsaei, Hao Zheng "EGMA: Enhancing Data Reuse and Workload Balancing in Message Passing GNN Acceleration via Gram Matrix Optimization", in Proceedings of 61th Design Automation Conference (DAC’24), San Francisco, June 23-27, 2024. 

[DAC'24] Shilin Tian, Chase Szafranski, Ce Zheng, Fan Yao, Ahmed Louri, Chen Chen, Hao Zheng "VITA: ViT Acceleration for Efficient 3D Human Mesh Recovery via Hardware-Algorithm Co-Design", in Proceedings of 61th Design Automation Conference (DAC’24), San Francisco, June 23-27, 2024. 

[ICCAD'23] Lingxiang Yin, Amir Ghazizadeh, Ahmed Louri, Hao Zheng, "ARIES: Accelerating Distributed Training in Chiplet-based Systems via Flexible Interconnects",  in Proceedings of International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, October 29 - November 2, 2023. 

[ICCAD'23] Sanjay Gandham*, Lingxiang Yin*, Hao Zheng, Mingjie Lin, ''SAGA: Sparsity-Agnostic Graph Convolutional Network Acceleration with Near-optimal Workload Balance",  in Proceedings of International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, October 29 - November 2, 2023.  (* Co-first Authors)

[ICCAD'23] Muhammad Rashedul Haq Rashed, Sven Thijssen, Hao Zheng, Sumit Kumar Jha, Rickard Ewetz, ''Path-based Processing using In-Memory Systolic Arrays for Accelerating Data-Intensive Applications", in proceedings of International Conference on Computer-Aided Design (ICCAD), San Francisco, CA, October 29 - November 2, 2023.

[DAC'23] Jiaqi Yang, Hao Zheng, and Ahmed Louri, “Venus: A Versatile Deep Neural Network Accelerator Architecture Design for Multiple Applications,” in Proceedings of 60th Design Automation Conference (DAC’23), San Francisco, July 9-13, 2023.

[ISCA'23] Jiajun Li, Yuxuan Zhang, Hao Zheng, and Ke Wang, “ FDMAX: An Elastic Accelerator Architecture for Solving Partial Differential Equations,”  in Proceedings of 50th International Symposium on Computer Architecture (ISCA'50), Orlando, FL, June 17–21, 2023.

[HPCA'21] Hao Zheng, Ke Wang, and Ahmed Louri, "Adapt-NoC: A Flexible Network-on-Chip Design for Heterogeneous Manycore Architecture", in Proceedings of the 27th IEEE International Symposium on High-Performance Computer Architecture (HPCA'21), Seoul, South Korea, Feb. 27 - Mar. 3, 2021.

[DAC'20] Hao Zheng, Ke Wang and Ahmed Louri, “A Versatile and Flexible Chiplet-based System Design for Heterogeneous Manycore Architectures,” in Proceedings of 57th Design Automation Conference (DAC’20), Virtual Conference, July 19-23, 2020.

[DAC'19] Hao Zheng and Ahmed Louri, “An Energy-Efficient Network-on-Chip Design using Reinforcement Learning,” in Proceedings of 56th Design Automation Conference (DAC’19), Las Vegas, NV, June 2-6, 2019.