People in AI

Zeyi Liao

Researcher

Research Intern at NeoCognition

Author of "Meta's Agent Learning" on arXiv

Co-author on Helix World audio-visual world model research.

Listed as author of the paper on robust learning with noisy labels

Co-author on GAMUT benchmark research paper.

ByteDance AI researcher who said many Chinese AI companies rely heavily on distillation rather than building their own training data.

Co-author on the Many-Tier Instruction Hierarchy (ManyIH) research paper.

Zhang Linhao

Researcher

Researcher

Listed as author of the StableToken research paper on speech tokenization

Co-authored research on SandMLE synthetic environments for training ML engineering agents.

Listed as co-author in the CUDA Agent citation for the research on agentic RL for CUDA kernel optimization

Author of "InternVL 3.5: Open Multimodal Reasoning Model" on arXiv

Zhao Dora

Researcher

Researcher

Co-author of year-long Character.AI study examining AI companion effects on well-being and human interaction.

Foundational Models researcher at Apple who joined Anthropic

Zhao Song collaborated with Xinzhi Zhang to resolve a 31-year-old mathematics problem using AI-assisted research.

Collaborator with Xinzhi Zhang in proving the Kannan–Lovász–Simonovits conjecture using agentic AI research methods.

Zhaochong An

Researcher

Meta

Author of "Reference-to-Video Generation" in arXiv

Co-author of research paper on EvoClaw, evaluating AI agents on continuous software evolution.

Author on paper about online draft co-training for speculative decoding in RL post-training.

Core contributor on Quantum's Infinite Game project, building an AI system to discover open problems and create verifiable research environments in quantum computing.

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Co-authored analysis of frontier models' performance on spatial biology tasks.

Co-author of OckBench research measuring efficiency of LLM reasoning.

Author of paper investigating how diffusion models' creativity arises from neural networks learning smoothed score functions.

Receives management advice comparing intern management to Perplexity Pro bots in extended essay on AI progress and compute.

Zhengxu Yu co-authored the Memento 3 paper demonstrating that explicit rule revision outperformed direct LLM inference on ARC-AGI-3 benchmarks.

Zhengyao Jiang

Researcher

Cofounder & CEO at Weco AI

Co-author of AIDE² recursive self-improvement system research.

Lead author of SONIC humanoid control model research published in Science Robotics.

Stanford researcher who, along with Cheng Chi and Professor Shuran Song, published a thesis on Universal Manipulation Interface (UMI) in 2024 for isomorphic robot data collection.

Co-author of Qwen RecreationWorld paper.

Co-authored research on Single-Rollout Asynchronous Optimization addressing stability and off-policy challenges in asynchronous RL.

Co-author of VIMPO paper on critic-free policy optimization for LLMs showing improvements over GRPO.

Co-author of Qwen RecreationWorld paper.

Author of "Open-Web Simulator for Agent Training" on arXiv

Contributor to Claw-Eval benchmark.

Zhihan Liu

Researcher

Lacuna

Author of "Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Traini" on arXiv

Zhihan Yang

Researcher

Private Equity Associate at Reverence

Co-author of paper on Large Language Continuous Diffusion Models (Sigma)

Author of "Anatomy of a Personal Health Agent" on arXiv

Author of "Autoregressive Flows for Image Generation" on arXiv

Zhikai Zhang

Researcher

Researcher at Tsinghua University / Galbot

Lead researcher on LATENT system that teaches humanoid robots to play tennis using imperfect human motion data and reinforcement learning.

Author of "Exhaustive Research Into Agentic Reasoning For LLMs" on arXiv

Zhipeng Cai

Researcher

Staff AI Research Scientist at Meta

Lead author of the VLM3 paper on Vision Language Models for 3D learning published on arXiv.

Co-authored research on staged image generation using planning and refinement techniques.

Zhiqiang Shen

Researcher

Researcher at Alibaba

Co-author on SlimQwen paper about MoE model compression.

Zhiting Hu

Researcher

Co-author of the paper on critiques of world models

Co-authored SkillHone framework for continual agent skill evolution with persistent decision history.

Co-authored MemT-1.0 paper on memory-native LLM architecture.

Co-authored study analyzing 8,135 trial records to reveal how AI agent skills work and fail in complex workflows.

Zhiyuan Wang co-authored the Meta Muse Glimmer technical report.

Co-author of NCP-ArchPreview latent-space model research.

Co-author of research paper on EvoClaw, evaluating AI agents on continuous software evolution.

Author of "ByteDance's Robot Learns with Language and Video" in ByteDance

Author of "WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Sc" on arXiv

Co-author of the SocioHack study on large language models hacking reward functions.

Researcher who worked with former doctoral student Qianzhen Shao on AI model for mapping human DNA initiator sequences.

Listed as author of the StableToken research paper on speech tokenization

Listed as author of the paper on robust learning with noisy labels

Co-author on Orchard framework paper for agentic modeling.

Co-authored the SandMLE paper on reinforcement learning for ML engineering agents.

Co-author of NCP-ArchPreview research paper.

Argued at WAIC 2026 that human-extinction narrative is part of capital-driven marketing and called out what he termed Oppenheimer-style marketing by AI companies.

Co-author of Qwen RecreationWorld paper.

Author of the ThinkingBox paper on agent benchmarking for stateful business workflows.

Co-author on the Nemotron-Cascade 2 paper with equal contribution, listed in reverse alphabetical order by first name.

Zhuoning Yuan is a researcher and co-author of VOID, Netflix's video object removal framework.

Zhuoqun Hao

Researcher

Author of "Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Traini" on arXiv

Ziang Li authored technical research on GPU-accelerated Weight Teleportation that optimizes RL training by improving weight syncing between trainers and samplers.

Co-author on the Nemotron-Cascade 2 paper with equal contribution, listed in reverse alphabetical order by first name.

Zihan Qiu

Researcher

Researcher at Alibaba

Co-author on SlimQwen paper about MoE model compression.

Zihang Dai

Researcher

Co-founder at xAI

One of nine original xAI co-founders who has departed the company in recent months.

Co-author of CodeMidas paper on scaling agentic coding RL environments.

Co-author of Qwen RecreationWorld paper.

Author of "Open-Web Simulator for Agent Training" on arXiv

Author on paper about online draft co-training for speculative decoding in RL post-training.

Co-author of RBench and RoVid-X robotics video benchmark and dataset research

Zilin Xiao co-authored the Meta Muse Glimmer technical report on the 30B parameter agentic language model.

Co-author of MoDA research presenting efficient hardware algorithms for depth-aware attention in transformers.

Ziming Liu

Researcher

Co-authored 'The Quantization Model of Neural Scaling' paper presented at NeurIPS 2023

Byline author of CausalMix paper on optimizing LLM data mixing using causal inference to avoid retraining when data pools shift.

Co-author of MemEye research on visual evidence preservation in agent memory systems.

Co-author of PixelRAG paper on visual retrieval-augmented generation.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Zixian Ma

Researcher

PhD Student and Research Intern at Allen Institute for AI

Researcher on MolmoPoint project for vision-language model grounding improvements.

Author of the research paper on self-aware reasoning efficiency in large language models

Researcher at Shanghai Jiao Tong University who developed Agentic ASR system for interactive speech recognition

Zixuan Ke

Researcher

Agent Researcher at Salesforce

Author of "A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems"

Co-author of the Robix research paper

Co-author of WorldAgents paper investigating 3D world model capabilities in 2D foundation image models.

Co-author of research on fork-and-flush method for autoresearch agents.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills.

Co-author of Moebius lightweight inpainting framework.

Contributor to Synthegy research on AI-guided chemical synthesis planning and reaction mechanisms.

Co-authored research on Cheminformatics Skills for agents to solve chemistry problems.

Co-authored research on SkillJack, a backdoor attack targeting self-evolving agents' skill extraction process.

Zora Zhiruo Wang

Researcher

PhD student at Carnegie Mellon University

Lead author of study examining how well agent development reflects real-world work.

Co-authored research on Code-Space Response Oracles for generating interpretable multi-agent policies with LLMs.

Co-author on Claude formal verification research paper.