This is the homepage of Hao Liu (刘好). Now I’m a graduate student at NYU psychology, working closely with Prof. Sebastian Michelmann and Prof. Noga Zaslavsky on Memory and Learning. Formerly, I got my Bachelor of Computer Science from Tsinghua University, supervised by Prof. Hang Su. I was also an exchange student at MIT, working in Prof. Joshua Tenenbaum’s group with Prof. Tianmin Shu.

The goal for my research is to understand how brain works and what is consciousness. My research interests cover a wide range of fields related to Artificial Intelligence and Deep Learning, including Computer Vision, Natural Language Processing, Reinforcement Learning. I’m also tring to explore more on Neuroscience and Psychology, including topics like Theory of Mind, Spiking Neural Networks, Attractor modelings, Consciousness Modelling and so on. Now I’m focusing on computational modeling for Complement Learning Systems in our memory.

Currently, my interests shift to research from a neuroscience and mathematical perspective. Now i’m learning biological nerual network modeling, Category theory for machine learning and Evolutionary learning. (2023.9.11)
Now, my research interests are including: 1) Chaotic Theory for neuron modeling. (Including Fractal geometry related.)
2) Using AI to solve High Dimension Sphere Packing Problem. (Related to How many attractors could we fit in a Hopfield Network) 3) Continual learning / Lifelong learning (2024.10.18)

I conduct scientific research from a humanistic perspective and through methods of simulation, driven by curiosity.

“惟此独立之精神，自由之思想，历千万祀，与天壤而同久，共三光而永光。”

Education Background

2014-2020 Tianjin No.1 High School

2020-2024 Tsinghua University

2024-2026 New York University

Research & Learning Background

• During High School (2017-2020), I was supervised by Prof. Mingming Cheng and Shaoping Lu at NanKai University, learning about Computer Vision. I built a pollution image classification system using hand-designed features.

• Invited High School Student at CHINA THEORY WEEK 2018 (CTW2018).

• Freshman year (2020-2021), I was at Prof. Minlie Huang’s CoAI group, learning and experimenting LLMs and prompt learning.

• Sophomore year (2021-2022),
  I built a finetuned QA model using database querying under Prof. Minlie Huang’s guidence.
  I built a Chinese stock market prediction large model during my SRT project, working with Penghan Wang, Qingchen Liu and under Prof. Maosong Sun’s guidence.
  I built a 3D diffusion model using a self-defined transformer structure on generating Protein structure using sidechain dataset, before this came out.
  I also explored other areas such as:
  - image super resolution (during summer 2022, guided by Menghao Guo)
  - PairWise Learning and Meta Learning (during summer 2022, guided by Prof. Zhiting Hu)
  - Self-Supervised learning in Computer Vision (MIM and Comparison Learning etc., inspired by Kaiming and Lecun’s work)
  - Conscious Modelling (Global Workspace Theory etc. , inspired by M.Blum and Bengio’s work)

• Junior year (2022-2023),
  I built a Trade Network Prediction system using Non-Parametric Transformer with Qingchen Liu, based on tabular data form and using a product-level dataset BACI.
  At MIT Brain & Cognition Department, in Joshua Tenenbaum’s group, doing project’s related to Multi-Agent Language Communication and the Theory Of Mind(TOM), supervised by Postdoc Tianmin Shu.
  At BIGAI, for projects about multiagent learning in social environment, RL and evolution learning. We proposed an Adaptive Environment with Social Structures for Multi-Agent Decision-Making. Now this paper is published at NIPS 2024 benchmark track

• Senior year (2023-2024),
  I did multiagent reinforcement learning with emergency communication with Prof. Hang Su, We want to generalize beyond Traditional Referential Game setting, using a multiagent interactive, cooperative environment setting.
  I used LLM for anomaly detection for malicious transaction in BlockChain, I did this during I was a intern at Sec3, using Solana Dataset. This research is guided by Prof. Wenbo Guo and Prof. Xingyu Xing. Now the paper is out on arxiv: BlockFound: Customized blockchain foundation model for anomaly detection.

More Info

My hobbies include Travelling, Mountain Hiking and Photography. :)

Books that I’ve read, currently reading and about to read this year

• The Emotion Machine, By Marvin Minsky
• Descartes’ Error: Emotion, Reason and the Human Brain, By AntonioDamasio
• Letters Written During a Short Residence in Sweden, Norway and Denmark, By Mary Wollstonecraft
• Discours préliminaire de l’Encyclopédie (启蒙运动的纲领：《百科全书》序言)
• 《南渡北归》岳南 著
• 《一百个人的十年》冯骥才 著
• 《红太阳是怎样升起的——延安整风运动的来龙去脉》高华 著
• The secrets of words, By Noam Chomsky & Andrea Moro
• Brave new world, By Aldous Leonard Huxley
• The Handmaid’s Tale, By Margaret Atwood
• Les années d’utopie - 1968-1969, By Jean-Claude Carrière
• Mathematics: The Loss of Certainty, By Morris Kline
• In other worlds: SF and the human imagination, By Margaret Atwood
• 《邮编100084》邢周/南飞熊 著
• En agosto nos vemos, By García Márquez
• Art as Therapy, By Alain de Botton
• The Testments, By Margaret Atwood
• 《纽约客》白先勇 著
• 《故国人民有所思：1949年后知识分子思想改造侧影》陈徒手 著
• Active Inference: The Free Energy Principle in Mind, Brain, and Behavior, By Thomas Parr, Giovanni Pezzulo, Karl J. Friston
• Respiración artificial, By Ricardo Piglia

Contact

Email: hao_liu(at)mit.edu / hl4220(at)nyu.edu Wechat: Jeffery0101010101