Hi, there, I'm Lingjuan, who has 17+ years of experience in the Tech and Engineering Industry, a winner of AI 10 Award, MIT TR35 China Award, IBM PhD Fellow, World’s Top 2% Scientists, IJCAI Early Career Spotlight, ~20 best paper awards from top venues.

I'm currently the Global Head of Computer Vision and Privacy-preserving Machine Learning (PPML) at Sony. Our team (globally in US, Zurich & Tokyo) is mainly focusing on the business-driven R&D in frontier and trustworthy AI. We aim to close the gap between research and real industrial applications for various business units. I have spearheaded multiple high-impact projects to facilitate the collaboration between research and product teams. Our current main areas cover: 

1. Low-cost, Powerful & Responsible vision, multi-modal & unified foundation model development and deployment.

2. Low-cost & Powerful  Generative AI for vision .

3. Techs that can empower the above two areas to make them faster, cheaper, practical & safer, including pipeline optimization (training and inference), distillation, federated learning, privacy, security, IP protection.

Before Sony, I was leading a federated learning team at Ant Group. I received EEE PhD from The University of Melbourne (#1 in AU). Before PhD, I graduated from Chinese Academy of Sciences. I worked at ANU (Level B3 Fellow) , IBM and Cadence Design Systems a decade ago. More than a decade ago, I also had experience and won awards or published papers in humanoid dancing robots, robust watermarking techniques, hardware design, IoT.

I'm open to collaborate with highly motivated students in LLM-based agents that can plan, reason, and execute complex tasks! Email me with your CV if you're interested in working with me! My previous students had won many prestigious best paper awards and fellowship or scholar from famous tech companies (IBM, Amazon, Baidu, Bytedance, etc).

Job Openings:

Great News! We have openings for both research and engineering  interns in foundation model and generative AI. Topics cover foundation model development and deployment, data synthesis, knowledge  distillation, on-device AI (model optimization/compression/profiling). Welcome to apply online, or drop me an email! 

Highlights

• 🏆 MIT TR35 China Award!

• Multiple papers accepted by ICML'25!

• Multiple workshops got accepted, welcome to contribute your works to ICCV’25 workshop on trustworthy foundation model;  ICML'25 The Impact of Memorization on Trustworthy Foundation Models; FedGenAI-IJCAI’25!

• Multiple papers accepted by CVPR'25, 1 Highlight!

• WWW'25 Oral!

• 2 workshops were accepted by CVPR’25! Welcome to submit to The 4th Workshop on Federated Learning for Computer Vision; CVPR’25 Test-time Scaling for Computer Vision.

• 🏆 AI 10 Award!

• Invited talk at NIST.

• Organizer @ECCV'24 Privacy for Vision & Imaging, welcome to join!

• Committee @ECCV’24 The First Dataset Distillation Challenge, welcome to contribute!

• 🚀 We made it possible to train a diffusion model for $1,890 only, the cheapest diffusion model training by far! Check out our CVPR'25 work Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget  and our publicly available Github and Checkpoints.

• 🚀 Our Industry-scale, Practical and Vision-Centric Federated Learning Platform was accepted by ICML'24 and publicly released here.  It can support 15+ computer vision tasks, including classification, object detection, segmentation, pose estimation, and more! It also facilitates federated multiple-task learning and supports FL for FM, split learning functionalities!  Welcome to star and contribute!

• 5 papers accepted by NeurIPS'24

• 🏆 Best paper award, FL@FM- IJCAI‘24

• 3 papers accepted by ECCV'24

• Keynote speaker @ Fedvision-CVPR'24

• 5 papers accepted by ICML'24

• Chair of NeurIPS’24 Datasets and Benchmarks track

• 4 papers accepted by ICLR'24, 1 selected as Oral (top 1.2%)

• 🏆 My blog was chosen as one of the Best Reads of 2023 by Towards Data Science

• Keynote speaker @  FL-NeurIPS'23

• World's Top 2% Scientists: 2023, 2024

• 5 papers @ NeurIPS 2023, 1 Spotlight

• 🏆 Area Chair Award, ACL’23

• 🏆 Best Student Paper Award, FL-IJCAI’23

• 🏆 Best Industry Paper Award, FL4Data-Mining’ KDD23

• Invited keynote at IJCAI 2023 Early Career Spotlight

• 5 papers @ ICML 2023

• 🏆 Best Paper Award. WWW’23 3rd International Workshop on Deep Learning for the Web of Things

• 5 papers @ ICLR 2023, one Oral (top 1.5%)

• 🏆 IEEE Outstanding Leadership Award, 2022

• 🏆 Best Paper Runner-up Award @CIKM’22 

• EMNLP’22 Oral paper

• Six papers @ NeurIPS 2022

• 🏆 Best paper award, FedGraph, CIKM’22

• Long paper @COLING’22

• 🏆 Outstanding Paper Award, ICML’22

• Spotlight Paper @ICML’22

• Two papers @ Nature Communications

• IJCAI'22 "Oral" paper

• Keynote speaker at  FL-AAAI’22

• 🏆 Best Student Paper Award, FL-AAAI’22

• 🏆 Best paper award, AAAI’22 AI for Transportation Workshop

• 🏆 Most Popular Award, NTU College of Engineering Video Competition, 2022

• Prize Winner of Ant Security Tech Ambassador, 2021

• 🏆 Best paper award, FL-IJCAI’20

• 🏆 IBM Ph.D. Fellowship, 2017