I have been a PhD student in CSE@CUHK since 2022, advised by Prof. Ming-Chang Yang.

Interests. I am interested in processing-in-memory, and work on stuff related to it.

Recent Preprints. Some work-in-progress or submitted preprints are listed hereby.

  • "Functionality Locality, Mixture & Control = Logic = Memory"
    Work In Progress. Though it is still being revised: clearly, it solves the remaining problem.

  • "Value, Representation, Information and Communication"
    Under Submission. Clearly, it solves some other problems.

  • "Reversed Indexes ≈ Values in Wavelet Trees"
    Under Submission. Clearly, it solves some problems.

    Recent Papers. Here are some papers/preprints I like (and personally assume mature).

  • "The Crossword Puzzle: Simplifying Deep Neural Network Pruning with Fabulous Coordinates"
    "Succinct Compression: Lossless Compression for Fast and Memory-Efficient Deep Neural Network Inference"
    Under Revision.

  • "Feint in Multi-Player Games"
    "Formalizing Feint Actions, and Example Studies in Two-Player Games"
    Under Revision.

  • "SLITS: Sparsity-Lightened Intelligent Thread Scheduling"
    The conference version at SIGMETRICS 2023 is [here], and the extended abstract is [here].

  • "CHOPPER: A Compiler Infrastructure for Programmable Bit-serial SIMD Processing Using Memory in DRAM"
    The conference version at HPCA 2023 is [here], and the summary is [here].

    The full list of my published papers can be accessed hereby.

    Discussion. Since I am always happy to discuss about stuff or contribute to something useful, I prepare this so that we can have a discussion though we may not know each other in person.

    Notes. My Biography and Curriculum Vitae are only available upon requests through this. Definitely, I would be happy if you can be specific on your purposes.

    Disclaimer. I have abandoned this domain name since 2021, so I really do not have any ideas why it is automatically redirected: though I did find the contents interesting (and useful).

    "The disparity between problem solving and solving problems is the problem formalization." Therefore, this is precisely the reason why such an approach is much more effective.