Human and Machine Intelligence


   “To understand human intelligence, you must reject all meager proxies for it. Seek a principled approach, reject mechanistic approaches, and do not compromise. Tell yourself the right story. Explain everything as simply and clearly as possible. Have a vision that is worth dedicating an entire career to, and solve problems that make progress toward your vision. When you tell people about the problems that you solve, make sure you first tell them what your vision is. Tell them in a way that will inspire somebody to dedicate an entire career to it.”

— Adam Kraft; Acknowledgments, “Vision by Alignment”
(Ph.D. Thesis, June of 2018)



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—  Status  —
(Curriculum Vitae

  • Name: Yida Xin
  • Email: yxin@bu.edu (Click my email address to use Apple Mail by default; otherwise, copy and paste it.)
  • Short Bio: I’m a second-year Ph.D. student in the Computer Science department at Boston University.  Here, I serve as a member of the LISP (Learning, Intelligence, and Signal Processing) group under the supervision of Professor Sang (“Peter”) Chin.  I also serve as a collaborating researcher with the Genesis group at CSAIL, MIT, under the supervision of Professor Patrick Henry Winston.
  • Courses taken: CS585 – Image and Video Computing






—  Myself  —  
  • Piano practitioner for over 18 years.
  • Martial arts practitioner for over 13 years.






—  Teaching  —
  • During Fall of 2017, I was a teaching assistant for CS101, a general introductory course on computer science.
  • During Spring of 2018, I was a teaching assistant for CS132, an introductory course on geometric algorithms.
  • During Summer1 of 2018, I was a teaching assistant for CS132.
  • During Summer2 of 2018, I was a teaching assistant for CS542, Machine Learning.
  • Currently, Fall of 2018, I am a teaching assistant for CS132.