Update about.md

_pages/about.md

@@ -13,12 +13,12 @@ redirect_from:
 <br />
 This is the homepage of Hao Liu (刘好). Now I'm a graduate student at NYU psychology, working closely with Prof. [Sebastian Michelmann](https://as.nyu.edu/faculty/sebastian-michelmann.html) and Prof. [Noga Zaslavsky](https://www.nogsky.com/) on Memory and Learning. Formerly, I got my Bachelor of Computer Science from Tsinghua University, supervised by Prof. [Hang Su](https://www.suhangss.me/). I was also an exchange student at MIT, working in Prof. [Joshua Tenenbaum](https://web.mit.edu/cocosci/josh.html)'s group with Prof. [Tianmin Shu](https://www.tshu.io/).
 
-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 fields like Thoery 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)<br/>
-Now, my research interests are including: 1) Chaotic Theory for neuron modeling. (Including Fractal geometry related.)
-                                          2) 
+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 fields like Thoery 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)__ <br/>
+Now, my research interests are including: 1) Chaotic Theory for neuron modeling. (Including Fractal geometry related.) <br/>
+                                          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)__ <br/>
 
 I conduct scientific research from a humanistic perspective and through methods of simulation, driven by curiosity.
 
@@ -31,10 +31,12 @@ Education Background
 
 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.
+* During High School (2017-2020), I was supervised by Prof. [Mingming Cheng](https://mmcheng.net/cmm/) and [Shaoping Lu](https://www.shaopinglu.net/) 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).
 
@@ -50,8 +52,11 @@ Research & Learning Background
                                                                    <br /> - Conscious Modelling (Global Workspace Theory etc. , inspired by M.Blum and Bengio's work)
 
 * Junior year (2022-2023), <br />I built a Trade Network Prediction system using [Non-Parametric Transformer](https://github.com/OATML/Non-Parametric-Transformers) with Qingchen Liu, based on tabular data form and using a product-level dataset [BACI](http://cepii.fr/cepii/en/bdd_modele/bdd_modele_item.asp?id=37).
-                           <br />Now I'm currently 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.
-                           <br />I'll be back at BIGAI this autumn for projects about multiagent learning in social environment, RL and evolution learning.
+                           <br />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.
+                           <br />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](https://neurips.cc/virtual/2024/poster/97511)
+
+* Senior year (2023-2024), <br /> 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.
+                           <br /> I used LLM for anomaly detection for malicious transaction in BlockChain, I did this during I was a intern at [Sec3](https://www.sec3.dev/), using Solana Dataset. This research is guided by Prof. [Wenbo Guo](https://henrygwb.github.io/) and Prof. [Xingyu Xing](http://xinyuxing.org/). Now the paper is out on arxiv: BlockFound: [Customized blockchain foundation model for anomaly detection](https://arxiv.org/abs/2410.04039).
 
 More Info 
 ======
@@ -68,8 +73,20 @@ Books that I’ve read, currently reading and about to read this year
 * 《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 
+Email: hao_liu(at)mit.edu / [email protected] 
 Wechat: Jeffery0101010101