| 2026 | FCCM | ForgeBench: A Machine Learning Benchmark Suite and Auto-Generation Framework for Next-Generation HLS Tools. | Andy Wanna, Hanqiu Chen, Cong Callie Hao |
| 2026 | ICS | COMETS: Cost-effective Multi-node Efficient Training System with Memory Pooling and Sharing. | Hanqiu Chen, Shao-Peng Yang, Mohammadreza Soltaniyeh, Shuyi Pei, Andrew Chang, Bryan S. Kim, Cong Hao |
| 2024 | DAC | ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model. | Hanqiu Chen, Yitu Wang, Luis Vitorio Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao |
| 2024 | ICCAD | Residual-INR: Communication Efficient On-Device Learning Using Implicit Neural Representation. | Hanqiu Chen, Xuebin Yao, Pradeep Subedi, Cong Hao |
| 2023 | FCCM | DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference. | Hanqiu Chen, Cong Hao |
| 2023 | FCCM | Hardware/Software Co-design for Machine Learning Accelerators. | Hanqiu Chen, Cong Hao |
| 2023 | ICCAD | Rapid-INR: Storage Efficient CPU-Free DNN Training Using Implicit Neural Representation. | Hanqiu Chen, Hang Yang, Stephen B. R. Fitzmeyer, Cong Hao |