Haofan Wang
- Visual Generative Model
- Agentic Model and Engineering
- Vibe Coding and Shippable Products
Haofan Wang (王浩帆) is a Member of Technical Staff at Lovart AI, working primarily on generative and agentic models. He works at InstantX Team for open-sourcing generative models. Previously, he worked at Xiaohongshu and Kuaishou. He obtained his master's degree from Carnegie Mellon University. He visited the Image and Video Understanding Laboratory (IVUL) at KAUST in 2020 and the DATA Lab at Texas A&M University in 2019. He studied at UC Berkeley in 2017 as a visiting student and worked as a research assistant at Berkeley RISE Lab on the Clipper project. He also spent time at OpenMined, RealAI, Everspry, Horizon Robotics, and the Institute of Software at the Chinese Academy of Sciences. His highlighted works include EasyControl, InstantStyle, InstantID, and Score-CAM. He was born in Yongzhou, Hunan.
- Guest Lecture, CS5260: Neural Networks and Deep Learning II, Prof. Yang You, Spring 2024, National University of Singapore
- Teaching Assistant, 18-793 Image and Video Processing, Prof. Aswin C Sankaranarayanan, Summer 2020, Carnegie Mellon University
- Journal Reviewer: IJCV, TMM, TKDD, AI Communications
- Conference Reviewer: SIGGRAPH, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, ACMMM, XAI4CV@CVPR, PRCV
Kuaishou (2021 – 2022) → Xiaohongshu (2022 – 2024) → Lovart AI (2024 – )
- Product Arena — A community-driven platform for discovering and sharing indie products.
Piano (Roland HP704), Scuba Diving (AOW), Snowboarding, Photography (Sony RX100M5, Osmo Pocket 3)
Australia (Sydney, Gold Coast, Queensland), Thailand (Bangkok), Singapore, Malaysia (Kuala Lumpur, Kota Kinabalu, Semporna), Vietnam (Phú Quốc), South Korea (Jeju, Seogwipo), Japan (Tokyo, Hakone, Osaka, Kyoto, Kobe), United States (Mountain View, Pittsburgh, Las Vegas, San Francisco, College Station, Berkeley, Los Angeles, Riverside)