{"data":{"site":{"siteMetadata":{"pathPrefix":"/","siteUrl":"https://huskydoge.github.io","title":"HuskyDoge","description":"Personal Website of Benhao Huang","author":"HuskyDoge","authorAlternative":"Benhao Huang","introduction":["Hello! Husky here! I'm an MSML student at CMU, working with the [Locus Lab](https://github.com/locuslab). My research focuses on LLM pre-training, particularly model architectures and training algorithms. I am currently interested in: \n - **Loop Models** - weight-tied architectures and iterative dynamics. \n - **Scalable Reasoning** - architectures and training methods that improve both reasoning capability and computational efficiency.","Before this, I worked on generative world models with the [VCG Group](https://vcg.seas.harvard.edu/) at Harvard and [Maitrix](https://github.com/maitrix-org) at UCSD, LLM-agent-based dataset curation with the [TRAIS Lab](https://github.com/TRAIS-Lab) at UIUC, and AI interpretability with the [XAI Lab](https://sjtu-xai-lab.github.io/) at SJTU. More details are available in **[Experience](#experience-education)** below."],"avatar":"/selfie.jpg","avatarBack":"/avatar-back.jpeg","avatarImages":["/selfie.jpg"],"professions":[{"name":"Locus","url":"https://github.com/locuslab"},{"name":"MAITRIX","url":"https://maitrix.org/"},{"name":"TRAIS","url":"https://github.com/TRAIS-Lab"}],"tocMaxDepth":2,"excerptMaxLength":50,"birthday":"","location":"Pittsburgh, PA, USA","email":"","postsForArchivePage":3,"social":[{"label":"CV","header":true,"headerMore":null,"url":"/resume.pdf","icon":["ai","cv"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"GitHub","header":true,"headerMore":null,"url":"https://github.com/huskydoge","icon":["fab","github"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"Twitter","header":true,"headerMore":null,"url":"https://twitter.com/huskydogewoof","icon":["fab","twitter"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"Google Scholar","header":true,"headerMore":null,"url":"https://scholar.google.com/citations?hl=en&user=h2Lf0_EAAAAJ","icon":["fa","graduation-cap"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"X Scholar","header":true,"headerMore":null,"url":"/x-scholar/","icon":["custom","xscholar"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"alphaXiv","header":true,"headerMore":null,"url":"https://www.alphaxiv.org/@benhao-huang","icon":["custom","alphaxiv"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"LinkedIn","header":true,"headerMore":null,"url":"https://www.linkedin.com/in/benhao-h-6534b629a/","icon":["fab","linkedin"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"Email","header":true,"headerMore":null,"url":null,"icon":["fas","envelope"],"qrImage":null,"emailUser":"benhaoh","emailDomain":"andrew.cmu.edu"},{"label":"WeChat","header":null,"headerMore":true,"url":null,"icon":["fab","weixin"],"qrImage":"/qr-code.png","emailUser":null,"emailDomain":null},{"label":"Xiaohongshu","header":null,"headerMore":true,"url":"https://www.xiaohongshu.com/user/profile/614a97f000000000020250c8","icon":["custom","xiaohongshu"],"qrImage":null,"emailUser":null,"emailDomain":null},{"label":"Zhihu","header":null,"headerMore":true,"url":"https://www.zhihu.com/people/huskydoge","icon":["fab","zhihu"],"qrImage":null,"emailUser":null,"emailDomain":null}],"disqusScript":"https://tc-imba.disqus.com/embed.js","contactFormUrl":"https://getform.io/f/09a3066f-c638-40db-ad59-05e4ed71e451","pages":{"home":"/","posts":"posts","contact":"contact","resume":"resume","tags":"tags","research":"research","project":"project"},"wakatime":{"username":"tcimba","activity":"7add4047-08f9-4da8-b649-aa114503678f","language":"460a84ab-722a-4b80-b896-cabaa13ad7eb","editor":"d851639a-28d8-4884-949f-d338a858f7e9","os":"caf7d0d1-8fd2-4595-a991-363c8583fea9"},"interests":[{"icon":["fas","brain"],"title":"Loop Models, Scalable Reasoning"},{"icon":["fas","cubes"],"title":"LLM Pre-training, Model Architecture"},{"icon":["fas","layer-group"],"title":"Efficient ML, Adaptive Computation"}],"education":[{"date":"Aug 2025 - Dec 2026 (expected)","icon":["fas","university"],"title":"M.S. in Machine Learning","location":"Carnegie Mellon University"},{"date":"Sept 2021 - July 2025","icon":["fas","university"],"title":"B.E. in Computer Science","location":"Shanghai Jiao Tong University"}],"experience":[{"title":"Internship","position":"left","data":[{"date":"Sept. 2025 - Present","title":"[Locus Lab](https://zicokolter.com/), CMU","location":"Pittsburgh, PA, USA","description":"Studying scalable equilibrium models. Advised by [**Zico Kolter**](https://zicokolter.com/)."},{"date":"May 2026 - Aug. 2026","title":"[Institute of Foundation Models](https://www.linkedin.com/showcase/institute-of-foundation-models/posts/?feedView=all)","location":null,"description":"Research internship on **Loop Models on Scale**. Advised by [**Xuezhe Ma**](https://xuezhemax.github.io/)."},{"date":"Mar. 2025 - Aug. 2025","title":"[VCG Group](https://vcg.seas.harvard.edu/), Harvard","location":"Cambridge, MA, USA","description":"Developed [**Flow Equivariant World Models**](https://arxiv.org/abs/2601.01075), studying structured dynamics outside the visible field of view. Advised by [**Yilun Du**](https://yilundu.github.io/), [**Fangneng Zhan**](https://fnzhan.com/), and [**Andy Keller**](https://akandykeller.github.io/)."},{"date":"Jun. 2024 - Mar. 2025","title":"[Maitrix.org](https://github.com/maitrix-org), UCSD","location":"San Diego, CA, USA","description":"Core contributor to [**PAN World Models**](https://arxiv.org/abs/2511.09057), previously leading the data and game-generation components. Advised by [**Zhiting Hu**](http://zhiting.ucsd.edu/)."},{"date":"Mar. 2024 - Jun. 2024","title":"Research Intern @ [Moonshot AI](https://www.moonshot.cn/)","location":"remote","description":null},{"date":"Nov. 2023 - Sept. 2024","title":"[TRAIS Lab](https://github.com/TRAIS-Lab), UIUC","location":"remote","description":"Developed [**DCA-Bench**](https://arxiv.org/abs/2406.07275), a benchmark for evaluating LLM agents on dataset issue detection and dataset curation. Advised by [**Jiaqi W. Ma**](https://jiaqima.github.io/)."},{"date":"Feb. 2023 - Jan. 2024","title":"[XAI Lab](https://sjtu-xai-lab.github.io/), SJTU","location":"Shanghai, China","description":"Studied AI interpretability and safety through [**generalizable interaction primitives in DNNs**](https://arxiv.org/abs/2401.16318), using Shapley-value theory. Advised by [**Quanshi Zhang**](http://qszhang.com/)."}]},{"title":"Service","position":"left","data":[]}],"awards":[{"date":"2025","title":"Outstanding Graduate of Shanghai Jiao Tong University","show":false},{"date":"2024","title":"National Scholarship","show":true},{"date":"2023","title":"Rui Yuan Hong Shan Scholarship, Shanghai Jiao Tong University","show":false},{"date":"2022","title":"Shao Qiu Scholarship, Shanghai Jiao Tong University","show":false}],"service":[{"role":"Reviewer","venues":"ICML 2026, NeurIPS 2025, KDD 2025"}],"talks":[{"title":"NICE Workshop on Looped Language Models","url":"https://mp.weixin.qq.com/s/8YM-vVMhI0YLkQcM-8OJQg","date":"2026/10/17"}],"tags":[{"id":"javascript","name":"javascript","description":"JavaScript is an object-oriented programming language used alongside HTML and CSS to give functionality to web pages.","color":"#f0da50"},{"id":"nodejs","name":"Node.js","description":"Node.js is a tool for executing JavaScript in a variety of environments.","color":"#90c53f"},{"id":"rxjs","name":"RxJS","description":"RxJS is a library for reactive programming using Observables, for asynchronous operations.","color":"#eb428e"},{"id":"typescript","name":"typescript","description":"TypeScript is a typed superset of JavaScript that compiles to plain JavaScript.","color":"#257acc"},{"id":"reactjs","name":"reactjs","description":"React is an open source JavaScript library used for designing user interfaces.","color":"#61dbfa"},{"id":"gatsby","name":"Gatsby.js","description":"A framework built over ReactJS to generate static page web application.  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