李鲁鲁是一个计算机视觉的研究者，在2012-2020期间进行了很多计算机视觉的研究以及产品化的实践。随着2022大型语言模型的兴起，以及借助Copilot协同工具，李鲁鲁开始学习新的AI技术并且在大模型应用以及跨模态的模型应用中做着更多的尝试。
过往经历
Li Cheng, Co-founder and Principal Researcher, graduated with a Bachelor's degree from the 数理基础科学(Physics) at Tsinghua University. During his undergraduate studies, he published his first two papers in CVPR and ICCV, and his related projects won the 全国挑战杯特奖(National Challenge Cup Special Prize). He participated with the Automation Department team in the RoboCup Soccer Adult League, where they won second place. After graduating in 2013, he joined SenseTime Technology as a co-founder, and the company went public on the Hong Kong Stock Exchange in 2021. During his tenure, he published over ten papers at conferences such as CVPR, ICCV, AAAI, and ECCV, with a total citation count exceeding 6,500. His related products, such as facial recognition albums, served several mobile phone clients, including OPPO and Vivo. His primary research areas include facial recognition, facial generation, and human-computer interaction. He is the initiator of the open-source project ChatHaruhi. Since participating in the 阿里魔搭黑客松(Modelscope Hackathon) in 2023, he has joined and won multiple hackathons exploring new AI applications, such as language models and SD models.Contact: chengli.thu_at_gmail.com
https://www.bilibili.com/video/BV1VJ4m1u7qZ
在2024年，李鲁鲁开始更多关注能够让前沿AI技术进一步落地的领域。早教机是我为鲁宝做的一个原型，但是我也希望这个项目能够发展为一个kickstart的产品，能够让二鲁以及更多孩子真正使用到。
感谢于ChatGPT和Copilot的发展，使得我拥有了更活跃的开发能力。所以我正在编写一门课程，希望能够教会更多的初学者和中学生与最新的技术一起协同进化。
Meme-Master 项目获得FaceChain挑战赛赛道五一等奖，奖金五万，感谢开放原子能基金会。这个项目主要练手训一下Stable Diffusion和ControlNet。
我们收集了40万组角色扮演对话数据，来进行角色扮演模型的训练。Chat-Haruhi-3.0 如果需要这个数据的话联系我。目前项目有点停滞，如果有空后面想扩展到多模态动画片。
- BS in Physics and Mathematics (2009-2013)
- Tsinghua University, Department of Physics
- High School (2006-2009)
- High School affiliated to Fudan University
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ChatHaruhi是个有趣的尝试，这里面的作者除了我和冷子昂以外都是社区招募的。是一个完全开源的工作。在ChatHaruhi里面我们使用了小说等源头抽取的角色数据进行了模型的角色扮演。并且在后面一个测试中，我们还测试了各个角色的MBTI的准确率。MBTI测试的文章由鑫涛整理，论文被ACL 2024接收。
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Cheng Li, Ziang Leng, Chenxi Yan, etal. "Chatharuhi: Reviving anime character in reality via large language model", arXiv preprint arXiv:2308.09597, 2023 (cited by 25).
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Xintao Wang, Yunze Xiao, Jen-tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, Jiangjie Chen, Cheng Li, Yanghua Xiao, "Does role-playing chatbots capture the character personalities? assessing personality traits for role-playing chatbots", arXiv preprint arXiv:2310.17976, 2023 (cited by 20).
在2016年之前，我们尝试了很多数据标注的不同方法。同时，我们还设计了一种强化学习/Meta-learning的方法，去学习聚类的规则进行人脸聚类。相应的算法改进后应用于很多国内手机的相册应用中。
Fei Wang, L Chen, Cheng Li, S Huang, Y Chen, C Qian, CC Loy, "The devil of face recognition is in the noise", Proceedings of the European Conference on Computer Vision (ECCV), 2018 (cited by 231).
Yue He, Kaidi Cao, Cheng Li, C Loy, "Merge or not? learning to group faces via imitation learning", Proceedings of the AAAI Conference on Artificial Intelligence, 2018 (cited by 24).
其实我觉得这个聚类的方法潜力还挺大的，如果有人想试可以试一下用更好的图/文特征去做文档的聚类。想做的话也欢迎与我联系。
Yunxuan Zhang, Li Liu, Cheng Li, C Loy "Quantifying facial age by posterior of age comparisons", arXiv preprint arXiv:1708.09687, 2017 (cited by 98).
这篇是我们用多次比较去标年龄的方法，比较标注法在颜值、年龄等很多数据上都有实践。
Hand Detection是我先后去CMU时候Kris Kitani指导我做的研究。
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Cheng Li, KM Kitani, "Pixel-level hand detection in ego-centric videos", Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2013 (cited by 331).
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Cheng Li, KM Kitani**, "Model recommendation with virtual probes for egocentric hand detection", Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013 (cited by 87).
这个是我们看到有人用CycleGAN做Face Reenactment之后，立刻做的一个改进工作，当然现在在diffusion时代换脸有更多开源的更好用的工具了。
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W Wu, Y Zhang, Cheng Li, C Qian, CC Loy, "Reenactgan: Learning to reenact faces via boundary transfer", Proceedings of the European conference on computer vision (ECCV), 2018 (cited by 223).
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Yunxuan Zhang, S Zhang, Y He, Cheng Li, CC Loy, Z Liu, "One-shot face reenactment", arXiv preprint arXiv:1908.03251, BMVC 2019 (cited by 57).
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W Wu, K Cao, C Li, C Qian, CC Loy, "Disentangling content and style via unsupervised geometry distillation", arXiv preprint arXiv:1905.04538, ICLR 2019 (cited by 18).
- W Wu, K Cao, C Li, C Qian, CC Loy, "Transgaga: Geometry-aware unsupervised image-to-image translation", Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR), 2019 (cited by 127).
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F Wang, M Jiang, C Qian, S Yang, C Li, H Zhang, X Wang, X Tang, "Residual attention network for image classification", Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2017 (cited by 4228).
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Y Rong, Z Liu, C Li, K Cao, CC Loy, "Delving deep into hybrid annotations for 3d human recovery in the wild", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019 (cited by 69).
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- W Liu, J Chen, C Li, C Qian, X Chu, X Hu, "A cascaded inception of inception network with attention modulated feature fusion for human pose estimation", Proceedings of the AAAI Conference on Artificial Intelligence, 2018 (cited by 45).
公司早期的时候，做了大量的工作来完善Face Alignment（因为人脸识别有Joint Bayesian后来又有deepId，反而是alignment比较缺稳定的版本）。当时朱施展是公司的intern。
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S Zhu, C Li, C Change Loy, X Tang, "Face alignment by coarse-to-fine shape searching", Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2015 (cited by 651).
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S Zhu, C Li, CC Loy, X Tang, "Unconstrained face alignment via cascaded compositional learning", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 (cited by 208).
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S Zhu, C Li, CC Loy, X Tang, "Towards arbitrary-view face alignment by recommendation trees", arXiv preprint arXiv:1511.06627, 2015 (cited by 10).
如何在侧脸情况下提升识别的准确率
- K Cao, Y Rong, C Li, X Tang, CC Loy, "Pose-robust face recognition via deep residual equivariant mapping", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (cited by 174).
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After 2023 （Hackthon项目）
- 2023年从阿里魔搭黑客松开始，参加多次语言模型以及SD模型等新AI应用探索黑客松并获奖。
- 阿里魔搭黑客松二等奖（李鲁鲁为队长）(top3)
- 百川黑客松二等奖(LLM驱动游戏范式探索，李鲁鲁为队长，米唯实为队员)(top3)
- 百度 AGI Foundation最佳人气奖(LLM驱动游戏范式探索二——游戏人物角色对话内容生成，李鲁鲁为队长，米唯实为队员)
- 科大讯飞“星火杯”大学生创业营，一等奖 (社交个人数字化身， 米唯实为队长，李鲁鲁为顾问)(top2)
- 第二届AI故事大赛 三等奖(LLM驱动文 字内容生成探索——人工引导下的剧情生成展示，李鲁鲁)(top6)
- Facechain应用大赛(跨模态可控人脸视频生成)
- 李鲁鲁为队长的队伍在赛道五为一等奖(top1)，米唯实为队员
- 陈泽康代报名的队伍在赛道三位二等奖(top2), 李鲁鲁为队长，米唯实为队员
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SenseTime
- 手机业务线，人脸相册，相册优选。
- 数据基础，标注方案改进
- 教育业务线，硬件/软件/教材/课程服务
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Student Intern (Spring 2013 & Summer 2012)
- Carnegie Mellon University, Robotic Institute, advised by Kris Kitani & Martial Hebert
- Projects:
- Egocentric Hand Detection (Segmentation)
- Adaptive Model Recommendation System
- Low-level Feature Selection
- Post-processing with Time-Space MRF
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Chief Developer (2009-2012)
- Tsinghua Hephaestus RoboCup Team (1.3m-tall Humanoid Soccer Robot), advised by Mingguo Zhao
- Projects:
- Designed and refactored vision system for soccer humanoid robot
- Goals, beacons, and field recognition algorithm
- Self-Localization algorithm based on particle-filter
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Research Assistant (2011-2012)
- Tsinghua University, advised by Mingguo Zhao
- Projects:
- Designed Controller for a variable-impedance/nature-dynamic system
- Implemented a Simulation Platform for the system on MATLAB
- 10/13 "Challenge Cup" National Science and Technology College of extra-curricular academic competition works, Outstanding Award (Top 3/300)
- 07/12 RoboCup2012 in Mexico, Humanoid League AdultSize, 2nd Place
- 07/11 RoboCup2011 in Turkey, Humanoid League AdultSize, 3rd Place
- 06/10 RoboCup2010 in Singapore, Humanoid League AdultSize, 3rd Place
- 02/11 American Mathematical Contest in Modeling, Honorable Prize
- 05/10 Mathematical Contest in Modeling in Tsinghua University, Top 4 (120 teams)
- 10/08 National Physic Olympiad Competition in Provinces, First Prize in Shanghai (top 30 of 20 thousand participants)
- 11/07 & 11/08 National Olympiad in Informatics in Provinces, First Prize in Shanghai (top 30)
- 11/08 The 8th Awarding Program For Future Scientists, First Prize (4th Place), (The largest pre-college scientific research event in China)