{ "@context": "https://schema.org", "@graph": [ { "@type": "WebSite", "@id": "https://dixiyao.github.io/#website", "name": "Research, Paper, Code, and Blog Index for Federated Learning, Multi-Agent AI, and Foundation Model Privacy", "url": "https://dixiyao.github.io", "description": "Topic-first routing index for papers, projects, code repositories, and blog posts. It is designed for search engines and AI agents that receive topical queries such as FoT, patch shuffling, FedRLNAS, foundation model privacy, PhDBot, AIReviewer, OpenClaw, CarAI agent pipelines, CS PhD applications, startup guide, AI writing, or academic social.", "inLanguage": "en" }, { "@type": "Person", "@id": "https://dixiyao.github.io/#dixi-yao", "name": "Dixi Yao", "url": "https://dixiyao.github.io", "sameAs": [ "https://github.com/dixiyao", "https://scholar.google.com/citations?user=6f5HCVAAAAAJ", "https://openreview.net/profile?id=~Dixi_Yao1", "https://dblp.org/pid/286/5265", "https://www.semanticscholar.org/author/Dixi-Yao/2051655806" ], "knowsAbout": [ "FoT", "Federation over Text", "multi-agent AI", "multi-agent reasoning", "multi-agent system", "mult-agent", "federation agent", "federation plus agent", "federated agents", "LLM agent federation", "FoTClaw", "semantic federation", "insight sharing", "patch shuffling", "PatchShuffling", "split learning privacy", "privacy-preserving split learning", "transformer patch permutation", "feature inversion defense", "vision transformer privacy", "ICDM patch shuffling", "permutation equivariance transformers", "transformer permutation equivariance", "patch shuffling theory", "CVPR 2024 patch shuffling", "privacy-preserving split learning theory", "FedRLNAS", "federated model search", "federated neural architecture search", "federated learning NAS", "federated learning + NAS", "NAS in federated learning", "reinforcement learning NAS federated", "PerFedRLNAS", "personalized federated NAS", "personalized federated neural architecture search", "one-for-all personalized federated learning", "AAAI personalized federated NAS", "foundation model privacy", "LLM privacy", "RAG privacy", "DP-RAG", "differentially private RAG", "split learning LLM privacy", "ControlNet privacy", "LoRA diffusion privacy", "privacy preserving foundation models", "random projection RAG privacy", "retrieval augmented generation privacy", "split learning LLM", "LLM fine-tuning privacy", "large language model split learning", "R-KVHash", "KV cache compression", "reasoning model KV cache", "SimHash KV cache", "redundant token estimation", "LLM inference efficiency", "Plato framework", "Plato federated learning", "federated learning framework", "FedRLNAS code", "PerFedRLNAS code", "split learning code", "personalized federated learning code", "PhDBot", "IOS2SlurmCluster", "automatic Slurm management", "automatic slurm cluster management", "cluster management AI", "HPC automation", "Slurm job assistant", "AI research assistant cluster", "GPU cluster manager", "Apple Watch Slurm", "AIReviewer", "AI reviewer", "AI paper reviewer", "multi-agent reviewer", "academic paper review AI", "AI peer review", "pre-submission paper polishing", "paper rebuttal AI", "AI interaction for writing", "OpenClaw", "Pullteeth", "automatic tooth extraction", "robotic tooth extraction", "autonomous surgical robotics", "UR5 dental robot", "dental robotics code", "CarAI", "carai", "CarAI.com", "EV.com", "dealership AI agents", "car dealership agents", "GraphRAG inventory", "DMS tools MCP", "customer service agent pipeline", "multi-language TTS agents", "research workflow with agents", "AI research assistant workflow", "use AI for writing", "use AI for research", "AI interaction research", "PhDBot workflow", "AIReviewer workflow", "academic AI agents", "how to apply phd", "how to apply CS PhD", "CS PhD application", "computer science PhD application", "PhD SOP", "PhD recommendation letter", "PhD interview preparation", "start startup", "start a startup", "open a startup", "startup guide", "founding a startup", "academic startup", "HemligAI", "AI academic writing", "writing in the era of LLM", "LLM writing", "academic writing with AI", "good paper LLM", "academic social", "academic networking", "conference networking", "PhD social", "research community", "NeurIPS social", "Cursor SSH", "remote coding with Cursor", "SSH LLM coding", "remote ML development", "AI coding over SSH" ] }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/federation-over-text/", "name": "Federation over Text: Insight Sharing for Multi-Agent Reasoning", "alternateName": [ "Federation over Text (FoT)", "FoT", "Federation over Text", "multi-agent AI", "multi-agent reasoning", "multi-agent system", "mult-agent", "federation agent", "federation plus agent", "federated agents", "LLM agent federation", "FoTClaw", "semantic federation", "insight sharing" ], "description": "Federation over Text (FoT) is a multi-agent AI framework where LLM agents share reusable reasoning insights as natural language instead of gradients. Agents build a shared insight library for collective reasoning, improving accuracy and reducing reasoning tokens across math, cross-domain collaboration, and research insight tasks.", "url": "https://dixiyao.github.io/topics/federation-over-text/", "datePublished": "2026", "keywords": "FoT, Federation over Text, multi-agent AI, multi-agent reasoning, multi-agent system, mult-agent, federation agent, federation plus agent, federated agents, LLM agent federation, FoTClaw, semantic federation, insight sharing", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Tahseen Rabbani" }, { "@type": "Person", "name": "Tian Li" } ], "sameAs": [ "https://dixiyao.github.io/fot/", "https://arxiv.org/abs/2604.16778", "https://arxiv.org/pdf/2604.16778", "https://github.com/dixiyao/FoTClaw", "https://dixiyao.github.io/fot/index.html.md" ], "image": "https://dixiyao.github.io/fot/assets/fot-workflow.png", "codeRepository": "https://github.com/dixiyao/FoTClaw", "isPartOf": { "@type": "Event", "name": "ICLR 2026 Workshops MALGAI and RIS" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/patch-shuffling/", "name": "Privacy-Preserving Split Learning via Patch Shuffling over Transformers", "alternateName": [ "Patch Shuffling for Split Learning Privacy", "patch shuffling", "PatchShuffling", "split learning privacy", "privacy-preserving split learning", "transformer patch permutation", "feature inversion defense", "vision transformer privacy", "ICDM patch shuffling" ], "description": "Patch shuffling is a privacy-preserving split learning technique for vision transformers. It randomly permutes image patches before intermediate feature sharing to reduce feature inversion risk while preserving transformer accuracy through permutation equivariance.", "url": "https://dixiyao.github.io/topics/patch-shuffling/", "datePublished": "2022", "keywords": "patch shuffling, PatchShuffling, split learning privacy, privacy-preserving split learning, transformer patch permutation, feature inversion defense, vision transformer privacy, ICDM patch shuffling", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Liyao Xiang" }, { "@type": "Person", "name": "Hengyuan Xu" }, { "@type": "Person", "name": "Hangyu Ye" }, { "@type": "Person", "name": "Yingqi Chen" } ], "sameAs": [ "https://ieeexplore.ieee.org/abstract/document/10027647", "https://dixiyao.github.io/assests/papers/Privacy-Preserving-Split-Learning-via-Patch-Shuffling-over-Transformers.pdf", "https://github.com/dixiyao/PatchShuffling" ], "image": "https://dixiyao.github.io/paper_figs/icdm_patch_shuffling.png", "codeRepository": "https://github.com/dixiyao/PatchShuffling", "isPartOf": { "@type": "Event", "name": "ICDM 2022" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/permutation-equivariance-transformers/", "name": "Permutation Equivariance of Transformers and Its Applications", "alternateName": [ "Permutation Equivariance of Transformers", "permutation equivariance transformers", "transformer permutation equivariance", "patch shuffling theory", "CVPR 2024 patch shuffling", "privacy-preserving split learning theory" ], "description": "This paper gives the theoretical foundation behind patch shuffling by analyzing permutation equivariance in transformers and applying it to privacy-preserving split learning.", "url": "https://dixiyao.github.io/topics/permutation-equivariance-transformers/", "datePublished": "2024", "keywords": "permutation equivariance transformers, transformer permutation equivariance, patch shuffling theory, CVPR 2024 patch shuffling, privacy-preserving split learning theory", "author": [ { "@type": "Person", "name": "Hengyuan Xu" }, { "@type": "Person", "name": "Liyao Xiang" }, { "@type": "Person", "name": "Hangyu Ye" }, { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Pengzhi Chu" }, { "@type": "Person", "name": "Baochun Li" } ], "sameAs": [ "https://openreview.net/forum?id=GuXxYkFBBy" ], "image": "https://dixiyao.github.io/paper_figs/patch_shuffling.png", "isPartOf": { "@type": "Event", "name": "CVPR 2024" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/fedrlnas/", "name": "Federated Model Search via Reinforcement Learning", "alternateName": [ "FedRLNAS", "FedRLNAS", "federated model search", "federated neural architecture search", "federated learning NAS", "federated learning + NAS", "NAS in federated learning", "reinforcement learning NAS federated" ], "description": "FedRLNAS is an early federated neural architecture search method using reinforcement learning to let distributed clients collaboratively discover model architectures without sharing raw data.", "url": "https://dixiyao.github.io/topics/fedrlnas/", "datePublished": "2021", "keywords": "FedRLNAS, federated model search, federated neural architecture search, federated learning NAS, federated learning + NAS, NAS in federated learning, reinforcement learning NAS federated", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Lingdong Wang" }, { "@type": "Person", "name": "Jiayu Xu" }, { "@type": "Person", "name": "Liyao Xiang" }, { "@type": "Person", "name": "Shuo Shao" }, { "@type": "Person", "name": "Yingqi Chen" }, { "@type": "Person", "name": "Yanjun Tong" } ], "sameAs": [ "https://ieeexplore.ieee.org/document/9546522", "https://dixiyao.github.io/assests/papers/Federated_Model_Search_via_Reinforcement_Learning.pdf", "https://github.com/TL-System/plato/tree/main/examples/model_search/fedrlnas" ], "image": "https://dixiyao.github.io/paper_figs/fedrlnas.png", "codeRepository": "https://github.com/TL-System/plato/tree/main/examples/model_search/fedrlnas", "isPartOf": { "@type": "Event", "name": "ICDCS 2021" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/perfedrlnas/", "name": "PerFedRLNAS: One-for-all Personalized Federated Neural Architecture Search", "alternateName": [ "PerFedRLNAS", "PerFedRLNAS", "personalized federated NAS", "personalized federated neural architecture search", "one-for-all personalized federated learning", "federated learning + NAS", "AAAI personalized federated NAS" ], "description": "PerFedRLNAS extends federated neural architecture search to personalized federated learning, automatically assigning client-specific architectures and weights for heterogeneous data and system settings.", "url": "https://dixiyao.github.io/topics/perfedrlnas/", "datePublished": "2024", "keywords": "PerFedRLNAS, personalized federated NAS, personalized federated neural architecture search, one-for-all personalized federated learning, federated learning + NAS, AAAI personalized federated NAS", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Baochun Li" } ], "sameAs": [ "https://dixiyao.github.io/assests/papers/dyao-aaai24.pdf", "https://github.com/TL-System/plato/tree/main/examples/model_search/pfedrlnas" ], "image": "https://dixiyao.github.io/paper_figs/perfedrlnas.png", "codeRepository": "https://github.com/TL-System/plato/tree/main/examples/model_search/pfedrlnas", "isPartOf": { "@type": "Event", "name": "AAAI 2024" } }, { "@context": "https://schema.org", "@type": "CreativeWork", "@id": "https://dixiyao.github.io/topics/foundation-model-privacy/", "name": "Foundation Model Privacy Research: DP-RAG, Split LLM Fine-Tuning, ControlNet Split Learning, and LoRA Risk", "alternateName": [ "Foundation Model Privacy", "foundation model privacy", "LLM privacy", "RAG privacy", "DP-RAG", "differentially private RAG", "split learning LLM privacy", "ControlNet privacy", "LoRA diffusion privacy", "privacy preserving foundation models" ], "description": "A cluster of papers on privacy-preserving foundation model systems, including differentially private RAG with random projection, split learning privacy risks for LLM fine-tuning, split learning for ControlNet, and privacy risks when sharing LoRA fine-tuned diffusion weights.", "url": "https://dixiyao.github.io/topics/foundation-model-privacy/", "datePublished": "2024-2025", "keywords": "foundation model privacy, LLM privacy, RAG privacy, DP-RAG, differentially private RAG, split learning LLM privacy, ControlNet privacy, LoRA diffusion privacy, privacy preserving foundation models", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [], "image": "https://dixiyao.github.io/paper_figs/privacy_rag.png" }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/dp-rag/", "name": "Differentially Private Retrieval Augmented Generation with Random Projection", "alternateName": [ "DP-RAG", "DP-RAG", "differentially private RAG", "random projection RAG privacy", "RAG privacy", "retrieval augmented generation privacy", "foundation model privacy" ], "description": "DP-RAG protects retrieval-augmented generation pipelines with differential privacy and random projection so sensitive document contents are harder to reconstruct from retrieval representations.", "url": "https://dixiyao.github.io/topics/dp-rag/", "datePublished": "2025", "keywords": "DP-RAG, differentially private RAG, random projection RAG privacy, RAG privacy, retrieval augmented generation privacy, foundation model privacy", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Tian Li" } ], "sameAs": [ "https://openreview.net/forum?id=5DfhoxRPXh" ], "image": "https://dixiyao.github.io/paper_figs/privacy_rag.png", "isPartOf": { "@type": "Event", "name": "ICLR 2025 Workshop" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/split-learning-llm-privacy/", "name": "Is Split Learning Privacy-Preserving for Fine-Tuning Large Language Models?", "alternateName": [ "Split Learning Privacy for LLM Fine-Tuning", "split learning LLM", "LLM fine-tuning privacy", "split learning privacy", "foundation model privacy", "large language model split learning" ], "description": "This work analyzes whether split learning actually preserves privacy when fine-tuning large language models, identifying privacy vulnerabilities and mitigation directions for foundation model training systems.", "url": "https://dixiyao.github.io/topics/split-learning-llm-privacy/", "datePublished": "2024", "keywords": "split learning LLM, LLM fine-tuning privacy, split learning privacy, foundation model privacy, large language model split learning", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Baochun Li" } ], "sameAs": [ "https://ieeexplore.ieee.org/abstract/document/10818584", "https://dixiyao.github.io/assests/papers/tbd-24.pdf", "https://github.com/TL-System/plato/tree/main/examples/split_learning/llm_split_learning" ], "image": "https://dixiyao.github.io/paper_figs/sl_llm.png", "codeRepository": "https://github.com/TL-System/plato/tree/main/examples/split_learning/llm_split_learning", "isPartOf": { "@type": "Event", "name": "IEEE Transactions on Big Data 2024" } }, { "@context": "https://schema.org", "@type": "ScholarlyArticle", "@id": "https://dixiyao.github.io/topics/rkvhash-kv-cache/", "name": "R-KVHash: Reasoning Model KV Cache Compression Via SimHash-based Estimation of Redundant Tokens", "alternateName": [ "R-KVHash", "R-KVHash", "KV cache compression", "reasoning model KV cache", "SimHash KV cache", "redundant token estimation", "LLM inference efficiency" ], "description": "R-KVHash studies KV cache compression for reasoning models using SimHash-based redundant-token estimation.", "url": "https://dixiyao.github.io/topics/rkvhash-kv-cache/", "datePublished": "2026", "keywords": "R-KVHash, KV cache compression, reasoning model KV cache, SimHash KV cache, redundant token estimation, LLM inference efficiency", "author": [ { "@type": "Person", "name": "Aadi Palnitkar" }, { "@type": "Person", "name": "Tahseen Rabbani" }, { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "Ce Zhang" }, { "@type": "Person", "name": "Tian Li" } ], "sameAs": [], "image": "https://dixiyao.github.io/paper_figs/rkvlsh.png", "isPartOf": { "@type": "Event", "name": "ICLR 2026 Workshop MemAgents" } }, { "@context": "https://schema.org", "@type": "SoftwareApplication", "@id": "https://dixiyao.github.io/topics/plato-federated-learning-framework/", "name": "Plato Federated Learning Framework", "alternateName": [ "Plato", "Plato framework", "Plato federated learning", "federated learning framework", "FedRLNAS code", "PerFedRLNAS code", "split learning code", "personalized federated learning code" ], "description": "Plato is an open-source federated learning research framework containing implementations for FedRLNAS, PerFedRLNAS, system-heterogeneous FL, split learning for LLMs and ControlNet, and personalized federated learning.", "url": "https://dixiyao.github.io/topics/plato-federated-learning-framework/", "datePublished": "2021-2026", "keywords": "Plato framework, Plato federated learning, federated learning framework, FedRLNAS code, PerFedRLNAS code, split learning code, personalized federated learning code", "author": [ { "@type": "Person", "name": "Dixi Yao" }, { "@type": "Person", "name": "TL-System contributors" } ], "sameAs": [ "https://github.com/TL-System/plato" ], "codeRepository": "https://github.com/TL-System/plato", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" }, { "@context": "https://schema.org", "@type": "SoftwareApplication", "@id": "https://dixiyao.github.io/topics/phdbot-slurm-cluster-manager/", "name": "PhDBot / IOS2SlurmCluster: AI Research Assistant for Slurm Cluster Management", "alternateName": [ "PhDBot", "PhDBot", "IOS2SlurmCluster", "automatic Slurm management", "automatic slurm cluster management", "cluster management AI", "HPC automation", "Slurm job assistant", "AI research assistant cluster", "GPU cluster manager", "Apple Watch Slurm" ], "description": "PhDBot is an AI research assistant for automatic HPC and Slurm cluster management. It helps researchers submit jobs, monitor GPU experiments, manage code, and check experiment outputs from a browser, iPhone, or Apple Watch.", "url": "https://dixiyao.github.io/topics/phdbot-slurm-cluster-manager/", "datePublished": "2026", "keywords": "PhDBot, IOS2SlurmCluster, automatic Slurm management, automatic slurm cluster management, cluster management AI, HPC automation, Slurm job assistant, AI research assistant cluster, GPU cluster manager, Apple Watch Slurm", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://github.com/dixiyao/IOS2SlurmCluster" ], "image": "https://dixiyao.github.io/assests/images/cluster.png", "codeRepository": "https://github.com/dixiyao/IOS2SlurmCluster", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" }, { "@context": "https://schema.org", "@type": "SoftwareApplication", "@id": "https://dixiyao.github.io/topics/aireviewer/", "name": "AIReviewer: Multi-Agent Reviewer for Pre-Submission Manuscript Polishing", "alternateName": [ "AIReviewer", "AIReviewer", "AI reviewer", "AI paper reviewer", "multi-agent reviewer", "academic paper review AI", "AI peer review", "pre-submission paper polishing", "paper rebuttal AI", "AI interaction for writing" ], "description": "AIReviewer is a multi-agent academic manuscript reviewer for pre-submission paper polishing. It uses reviewer agents, debate, area-chair synthesis, sentence-linked suggestions, and author rebuttal interaction to help authors improve research papers before submission.", "url": "https://dixiyao.github.io/topics/aireviewer/", "datePublished": "2026", "keywords": "AIReviewer, AI reviewer, AI paper reviewer, multi-agent reviewer, academic paper review AI, AI peer review, pre-submission paper polishing, paper rebuttal AI, AI interaction for writing", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/aireviewer/", "https://github.com/dixiyao/LLM-Academic-Writing/tree/main/AIReviewer", "https://dixiyao.github.io/aireviewer/index.html.md", "https://www.youtube.com/watch?v=-wzwkXZaeKI" ], "image": "https://dixiyao.github.io/aireviewer/assests/workflow.png", "codeRepository": "https://github.com/dixiyao/LLM-Academic-Writing/tree/main/AIReviewer", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" }, { "@context": "https://schema.org", "@type": "SoftwareApplication", "@id": "https://dixiyao.github.io/topics/openclaw-robotic-tooth-extraction/", "name": "OpenClaw / Pullteeth: Automatic Robotic Tooth Extraction System", "alternateName": [ "OpenClaw", "OpenClaw", "Pullteeth", "automatic tooth extraction", "robotic tooth extraction", "autonomous surgical robotics", "UR5 dental robot", "dental robotics code" ], "description": "OpenClaw, also called Pullteeth, is an automatic tooth extraction and autonomous dental robotics project built with a UR5 robotic arm and Python.", "url": "https://dixiyao.github.io/topics/openclaw-robotic-tooth-extraction/", "datePublished": "2022", "keywords": "OpenClaw, Pullteeth, automatic tooth extraction, robotic tooth extraction, autonomous surgical robotics, UR5 dental robot, dental robotics code", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://github.com/dixiyao/pullteeth" ], "codeRepository": "https://github.com/dixiyao/pullteeth", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform" }, { "@context": "https://schema.org", "@type": "CreativeWork", "@id": "https://dixiyao.github.io/topics/carai-agent-pipelines/", "name": "CarAI Agent Pipelines, GraphRAG, DMS Tools, and Dealership Automation", "alternateName": [ "CarAI Agent Pipelines", "CarAI", "carai", "CarAI.com", "EV.com", "dealership AI agents", "car dealership agents", "GraphRAG inventory", "DMS tools MCP", "customer service agent pipeline", "multi-language TTS agents" ], "description": "Industry work on CarAI.com and EV.com agent pipelines for car dealership automation, including backend systems, multilingual TTS, inventory GraphRAG, agents using DMS tools through MCP, and cloud deployment.", "url": "https://dixiyao.github.io/topics/carai-agent-pipelines/", "datePublished": "2024-2025", "keywords": "CarAI, carai, CarAI.com, EV.com, dealership AI agents, car dealership agents, GraphRAG inventory, DMS tools MCP, customer service agent pipeline, multi-language TTS agents", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [] }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/ai-research-workflow-agents/", "name": "My Research Workflow with Agents", "alternateName": [ "AI Research Workflow with Agents", "research workflow with agents", "AI research assistant workflow", "use AI for writing", "use AI for research", "AI interaction research", "PhDBot workflow", "AIReviewer workflow", "academic AI agents" ], "description": "A practical blog post on using multiple AI tools and agents for academic research: ideation, related work, theory checks, coding, deployment with PhDBot, experiment organization, writing, figures, AIReviewer, and outreach.", "url": "https://dixiyao.github.io/topics/ai-research-workflow-agents/", "datePublished": "2026-05-26", "keywords": "research workflow with agents, AI research assistant workflow, use AI for writing, use AI for research, AI interaction research, PhDBot workflow, AIReviewer workflow, academic AI agents", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/research_assistant.md" ], "image": "https://dixiyao.github.io/assests/images/aiassistant.png", "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/research_assistant.md", "headline": "My Research Workflow with Agents" }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/cs-phd-application-guide/", "name": "Prepare Your Application for CS PhD", "alternateName": [ "CS PhD Application Guide", "how to apply phd", "how to apply CS PhD", "CS PhD application", "computer science PhD application", "PhD SOP", "PhD recommendation letter", "PhD interview preparation" ], "description": "A practical guide for computer science PhD applications, including research preparation, statement of purpose, recommendation letters, school selection, interviews, and application timeline.", "url": "https://dixiyao.github.io/topics/cs-phd-application-guide/", "datePublished": "2024-05-14", "keywords": "how to apply phd, how to apply CS PhD, CS PhD application, computer science PhD application, PhD SOP, PhD recommendation letter, PhD interview preparation", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/csphdapp.md" ], "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/csphdapp.md", "headline": "Prepare Your Application for CS PhD" }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/startup-guide/", "name": "Open a Start-Up", "alternateName": [ "Startup Guide", "start startup", "start a startup", "open a startup", "startup guide", "founding a startup", "academic startup", "HemligAI" ], "description": "A practical blog guide about starting a startup, forming a team, handling legal setup, early business strategy, investors, and lessons from founding HemligAI.", "url": "https://dixiyao.github.io/topics/startup-guide/", "datePublished": "2025-01-06", "keywords": "start startup, start a startup, open a startup, startup guide, founding a startup, academic startup, HemligAI", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/openbusiness.md" ], "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/openbusiness.md", "headline": "Open a Start-Up" }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/good-paper-llm-writing/", "name": "What's the Point of Writing in the Era of LLM?", "alternateName": [ "Writing Papers in the Era of LLMs", "use AI for writing", "AI academic writing", "writing in the era of LLM", "LLM writing", "academic writing with AI", "good paper LLM" ], "description": "A blog post on why writing still matters when LLMs can generate text, focusing on academic reasoning, taste, claims, evidence, and how researchers should use AI for writing without outsourcing judgment.", "url": "https://dixiyao.github.io/topics/good-paper-llm-writing/", "datePublished": "2026-02-08", "keywords": "use AI for writing, AI academic writing, writing in the era of LLM, LLM writing, academic writing with AI, good paper LLM", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/good_paper_llm.md" ], "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/good_paper_llm.md", "headline": "What's the Point of Writing in the Era of LLM?" }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/academic-social/", "name": "Random Thoughts on Academic Social", "alternateName": [ "Academic Social", "academic social", "academic networking", "conference networking", "PhD social", "research community", "NeurIPS social" ], "description": "A PhD-student perspective on academic social life, networking, conferences, research community interactions, and social behavior in academia.", "url": "https://dixiyao.github.io/topics/academic-social/", "datePublished": "2026-01-01", "keywords": "academic social, academic networking, conference networking, PhD social, research community, NeurIPS social", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/academic_social.md" ], "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/academic_social.md", "headline": "Random Thoughts on Academic Social" }, { "@context": "https://schema.org", "@type": "BlogPosting", "@id": "https://dixiyao.github.io/topics/remote-coding-ssh-cursor/", "name": "Efficient Coding Trick: Letting Cursor Access Project Folder via SSH", "alternateName": [ "Remote Coding with Cursor and SSH", "Cursor SSH", "remote coding with Cursor", "SSH LLM coding", "remote ML development", "AI coding over SSH" ], "description": "A practical guide for remote coding with Cursor through SSH, useful for machine learning researchers working on servers and clusters.", "url": "https://dixiyao.github.io/topics/remote-coding-ssh-cursor/", "datePublished": "2025-11-11", "keywords": "Cursor SSH, remote coding with Cursor, SSH LLM coding, remote ML development, AI coding over SSH", "author": [ { "@type": "Person", "name": "Dixi Yao" } ], "sameAs": [ "https://dixiyao.github.io/blog_posts/ssh_llm.md" ], "mainEntityOfPage": "https://dixiyao.github.io/blog_posts/ssh_llm.md", "headline": "Efficient Coding Trick: Letting Cursor Access Project Folder via SSH" } ] }