Academic Talks

2023

  • From Mind to Machine: Neuronal Circuits, Learning Algorithms, and Beyond .
    FPO talk at Princeton.
  • Equilibria in Games
    Presentation at Seung Lab meeting.
  • Neuronal Circuits for Robust Online Fixed-point Detection .
    Poster presentation at the Computational and Systems Neuroscience (COSYNE 2023) conference.
  • Fly Olfactory System: From Architecture to Learning Algorithm
    Presentation at Seung Lab journal club.

2022

  • A Generalized Framework for Unsupervised Feature Discovery with Hebbian and Anti-Hebbian Plasticity
    Presentation at NCA Group meeing at CCN, Flatiron Institute
  • Modularity and Cyclic Structure in a Vertebrate Sensorimotor Neural Circuit
    Invited talk at ICERM Workshop: Topological and Dynamical Analysis of Brain Connectomes.
  • A Geometric View of Intrinsic Dimension and Lottery Subspaces
    Presentation at Princeton NLP group journal club.
  • Modularity, Graded Connectivity, and Recurrence in a Vertebrate Sensorimotor Neural Circuit
    Poster presentation at the CSHL Neuronal Circuits Conference.

2021

  • Shapley Values, Attention Flows, and Faithful Explanations
    Presentation at Princeton NLP group journal club.
  • Improving Dialog Systems for Negotiation with Personality Modeling
    Oral presentation at the 59th Annual Meeting of the Association for Computational Linguistics (ACL-IJCNLP 2021).
  • Can We Understand Sensory Cortex via Deep Learning?
    Presentation at NEU422/PSY422: Dynamics in Cognition.
  • Dynamical System Analysis of Recurrent Neural Networks in Text Classification Tasks
    Presentation at Princeton NLP group journal club.

2020

  • Unsupervised Feature Discovery by Neural Networks with Disynaptic Recurrent Inhibition
    Selected talk at the CSHL Conference on From Neuroscience to Artificially Intelligent Systems (NAISys 2020).
  • Multiscale and Multimodal Reconstruction of Cortical Structure and Function
    Presentation at the Center for Computational Neuroscience, Flatiron Institute.
  • How the Brain Keeps Eyes Still?
    Presentation at QCB505/PHY555: Topics in Biophysics and Quantitative Biology.
  • Generating Strategic Dialogue for Negotiation with Theory of Mind
    Presentation at Research Seminar at Amazon.
  • Large Associative Memory Problem
    Presentation at joint journal club with Baylor College of Medicine.
  • Hindsight Credit Assignment
    Presentation at Princeton NLP group journal club.
  • Multi-Objective Reinforcement Learning
    Open talk for General Exam at Computer Science Department, Princeton University.
  • Global Convergence of Gradient-Based Learning in Zero-Sum Games
    Presentation in Princeton NLP group meeting.

2019

  • A Generalized Algorithm for Multi-Objective RL and Policy Adaptation
    Poster presentation at the 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019).
  • Bridging the Duality Gap between Neural Networks with Hebbian/Anti-Hebbian Plasticity and the Correlation Game Principle
    Invited presentation at 2019 Asilomar Conference (Neuroscience-Inspired ML Session).
  • Weight Agnositc Neural Networks
    Presentation at Princeton NLP group journal club.
  • Thoughts on Theory of Mind
    Presentation at Princeton NLP group journal club.
  • Thoughts on the Emergence of Language
    Presentation at Princeton NLP group journal club.
  • Topic Modeling with Hebbian and anti-Hebbian Learning
    Presentation at Princeton NLP group journal club.

2018

  • Generalized Algorithms for Multi-Objective Reinforcement Learning with Policy Adaptation
    Poster presentation at Princeton AIML retreat 2018.
  • Mitochondrial Size Gradients in Cortical Neurons Suggested by 3D Electron Microscopy
    Poster presentation at Princeton AIML retreat 2018.
  • Deep Multi-Objective Reinforcement Learning
    Student session talk on the 9th ACM-class Student Academic Festival (ASAF 2018) & the 2018 INS-ZY Student Conference.
  • Affordable On-line Dialogue Policy Learning
    Presentation at the 2018 SJTU Speech Lab Annual Academic Meeting.

2017

  • Monitoring Eelgrass Wasting Disease Using Deep Learning & Crowd Wisdom
    Poster presentation at the 2017 CompSustNet NSF Site Visit.
  • Companion Teaching: Towards Affordable On-line Dialogue Policy Learning
    Student session talk on the 8th ACM-class Student Academic Festival (ASAF 2017).
  • Ideas sparked by Game Theory & Deep Learning
    “Expert student talk” on Game Theory course.
  • On-line Dialogue Policy Learning with Companion Teaching
    Poster presentation at the 15th European Chapter of the Association for Computational Linguistics Conference (EACL 2017).

2016

  • Value Iteration Network
    A 7-minute presentation in reading club of Deep Learning course.
  • Inverse Reinforcement Learning
    Presentation in CS professional seminar.
  • A Local Search Heuristic for Facility Location Problems
    Presentation on Approximation Algorithm course.
  • Automata Theory
    A tutorial in discussion class of Introduction to Computer Science course.