1.      Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan and Jason Cong, "Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks", International Conference on Computer Aided Design (ICCAD), 2016;  

2.      Chen Zhang, Di Wu, Jiayu Sun, Guangyu Sun, Guojie Luo and Jason Cong, " Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster", International Symposium on Low Power Electronics and Design (ISLPED), 2016;  

3.      Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao and Jason Cong, " Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks", International Symposium on Field-Programmable Gate Arrays (FPGA), 2015 (Best Paper Award Nomination);  

4.      Peng Wang, Guangyu Sun, Song Jiang, Jian Ouyang, Shiding Lin, Chen Zhang, and Jason Cong, " An Efficient Design and Implementation of LSM-Tree based Key-Value Store on Open-Channel SSD", in Proceedings of EuroSys’14, Amsterdam, the Netherlands, April 14-17, 2014.   

5.      Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang and Jason Cong, "Automatic Multidimensional Memory Partitioning for FPGA-Based Accelerators", in 21st FPGA, 2013, pp. 269. (POSTER) 

6.      Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang and Jason Cong, "Memory Partitioning for Multidimensional Arrays in High-level Synthesis", in Proceedings of the 50th DAC, 2013, Article No.12