Bio

Keyi is a PhD student advised by Mark Horowitz. His current research interest is in agile hardware design, such as hardware generator and place and route algorithms. He received B.S. in Computer Science and Engineering from Bucknell University.

Contact

  • Academic
    keyi@stanford.edu
    University - Student Department: Computer Science Position: Graduate

Additional Info

  • Mail Code: 9025

All Publications

  • Learning in situ: a randomized experiment in video streaming Yan, F. Y., Ayers, H., Zhu, C., Fouladi, S., Hong, J., Zhang, K., Levis, P., Winstein, K., USENIX Assoc USENIX ASSOC. 2020: 495–511

    View details for Web of Science ID 000570979600030

  • fault: A Python Embedded Domain-Specific Language for Metaprogramming Portable Hardware Verification Components International Conference on Computer Aided Verification Truong, L., Herbst, S., Setaluri, R., Mann, M., Daly, R., Zhang, K., Donovick, C., Stanley, D., Horowitz, M., Barrett, C., Hanrahan, P. 2020

    View details for DOI 10.1007/978-3-030-53288-8_19

  • Creating an Agile Hardware Design Flow Bahr, R., Barrett, C., Bhagdikar, N., Carsello, A., Daly, R., Donovick, C., Durst, D., Fatahalian, K., Feng, K., Hanrahan, P., Hofstee, T., Horowitz, M., Huff, D., Kjolstad, F., Kong, T., Liu, Q., Mann, M., Melchert, J., Nayak, A., Niemetz, A., Nyengele, G., Raina, P., Richardson, S., Setaluri, R., Setter, J., Sreedhar, K., Strange, M., Thomas, J., Torng, C., Truong, L., Tsiskaridze, N., Zhang, K., IEEE IEEE. 2020

    View details for Web of Science ID 000628528400063

  • A Framework for Adding Low-Overhead, Fine-Grained Power Domains to CGRAs Nayak, A., Zhang, K., Setaluri, R., Carsello, A., Mann, M., Richardson, S., Bahr, R., Hanrahan, P., Horowitz, M., Raina, P., DiNatale, G., Bolchini, C., Vatajelu, E. I. IEEE. 2020: 846–51

    View details for Web of Science ID 000610549200156

  • Online Model Distillation for Efficient Video Inference Mullapudi, R., Chen, S., Zhang, K., Ramanan, D., Fatahalian, K., IEEE IEEE COMPUTER SOC. 2019: 3572–81

    View details for DOI 10.1109/ICCV.2019.00367

    View details for Web of Science ID 000531438103073