Congcong Li
Mountain View, California, United States
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Congcong Li shared thisWaymo will be at #CVPR2024 next week! Stop by our booth #1821. Looking forward to meeting old and new friends to chat about the future of autonomous driving!Congcong Li shared thisWaymo will be at #CVPR2024 next week! On June 17 at the Workshop on Autonomous Driving, Waymo’s Director of Engineering Congcong Li will talk about some of our recent work that is accelerating Waymo’s scalability, and we will announce the winners of the 2024 Waymo Open Dataset Challenges https://lnkd.in/gbw_rXam On June 18, you can hear our Head of Research Dragomir Anguelov speak at the Workshop on Data-Driven Autonomous Driving Simulation https://lnkd.in/gtGtjH4i Waymo’s Research team will also present a new paper “MoST: Multi-modality Scene Tokenization for Motion Prediction” on June 20 https://lnkd.in/gntmmduW Stop by our booth #1821 to say hello and talk about all things autonomous driving. See you in Seattle!
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Congcong Li shared thisVectorNet - Waymo's recent efforts on roadgraph encoding and behavior prediction from our team members Jiyang Gao and Yi Shen, and the wonderful collaborators in Waymo Research and Google Research!Congcong Li shared thisBy encoding and processing our highly-detailed maps and sensor-derived information as a set of vectors, our new VectorNet model provides more efficient and accurate behavior predictions. You can check out the details on our blog, which also links to our CVPR 2020 paper. Soon I will share a few more papers, stay tuned!Waypoint - The official Waymo blog: VectorNet: Predicting behavior to help the Waymo Driver make better decisionsWaypoint - The official Waymo blog: VectorNet: Predicting behavior to help the Waymo Driver make better decisions
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Congcong Li shared thisCome check out Waymo's info event! Please fill out this form if interested: https://lnkd.in/eKuWcebCongcong Li shared thisWaymo’s Software Engineering team is hosting an onsite informational event on Thursday, Sep 13th from 5:00pm-8:00pm at our Mountain View office. Come see what drives us! Please fill out this form if interested: https://lnkd.in/eKuWceb
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Congcong Li liked thisCongcong Li liked this20x reduction in serious-injury crashes - our latest safety data based on 270M+ rider-only miles across 5 territories https://lnkd.in/g4s4RCzb. Here’s what that looks like in the real world:
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Congcong Li liked this20x fewer serious injury or worse crashes than the average human driver over 270M miles. This is why we do what we do!Congcong Li liked this270 million fully autonomous miles. 841 fewer injury-causing crashes. Waymo has driven the equivalent of over 300 human lifetimes behind the wheel across Atlanta, Austin, Los Angeles, Phoenix, and San Francisco through June 2026. Compared to human driving benchmarks over that same distance in those cities, the Waymo Driver had: 📉 82% fewer injury-causing crashes 📉 95% fewer serious injury or worse crashes As our service scales, road safety scales with it. Explore the full data and methodology: https://lnkd.in/e-ypmmXG
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Congcong Li liked thisHumbled and honored. Thank you to my students/postdocs for your inspiration, energy, and enthusiasm!Congcong Li liked thisProfessor Le Xie has been awarded the Peter W. Sauer Outstanding Power Engineering Educator Award for Undergraduates from the IEEE Power & Energy Society (PES). The award, presented annually, recognizes “outstanding electric power engineering educators who have excelled in teaching.” Prof. Xie was recognized for his “visionary and sustained contributions to educating power engineers in data science and artificial intelligence.” Congratulations, Professor Xie! Lean more about Prof. Xie's research: https://bit.ly/4wy6FEj
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Congcong Li liked thisSuper excited about my next chapter at General Motors - launching personally owned autonomous vehicles working with Shelly Chaka, Regina Carto, Rashed Haq and their teams.Congcong Li liked thisWe continue to strengthen our safety team by adding world-class expertise across autonomy and AI/ML and today I’m pleased to welcome Shilpa Gulati to General Motors as an AI Distinguished Engineer. Shilpa is a highly accomplished autonomy and AI/ML leader with more than 15 years of experience developing large-scale autonomous systems and physical AI. She brings deep expertise in prediction and planning, safety governance, road rule compliance, and ML safety evaluation, along with technical leadership experience spanning Waymo, Nuro, and Apple, and foundational engineering experience from Bosch and Stone Aerospace. Her background includes setting technical strategy for planning, prediction, and control algorithms, advancing transformer-based ML architectures, and helping enable the safe commercial deployment of autonomous systems. At GM, Shilpa will help strengthen our AI-based autonomy capabilities, with a focus on robust safety assurance as we work to deliver safe, scalable automated driving systems and build trust in our technology and methodologies. We’re thrilled to have her on the team and look forward to the impact she will make. If you’re passionate about redefining the future of safe, innovative mobility, join our incredible General Motors Global Product Safety, Systems, and Certification team and explore our open roles here: https://lnkd.in/gb7w_cKS #IWorkForGM #AutonomousVehicles #AVSafety
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Congcong Li liked thisCongcong Li liked this🚀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗨𝗽𝗱𝗮𝘁𝗲: I’m thrilled to share that I'm joining Georgia Institute of Technology as the 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗘𝗮𝗿𝗹𝘆 𝗖𝗮𝗿𝗲𝗲𝗿 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿 and 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗼𝗿, with a joint appointment in the Georgia Tech H. Milton Stewart School of ISyE and the George W. Woodruff School of Mechanical Engineering (𝗠𝗘). I lead the 𝗧𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗟𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘆 (𝗧𝗔𝗦𝗟) and serve as a core faculty member of the Georgia Tech Institute for Robotics and Intelligent Machines (𝗜𝗥𝗜𝗠). 🌐 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗧𝗔𝗦𝗟: https://lnkd.in/g-cD8Qkt My long-term vision is to develop 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆, 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲, 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗲𝗿𝗲𝗱 autonomous systems that can safely interact and collaborate with people, reason about complex environments, learn continuously from experience, and operate reliably in the open world to benefit society. At TASL, we pursue this vision by unifying advances in 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀, 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜, 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗔𝗜, 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗿𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻, 𝗰𝗼𝗻𝘁𝗿𝗼𝗹, 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻. Rather than optimizing solely for capability, we seek to jointly advance 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝘀𝗮𝗳𝗲𝘁𝘆, 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗵𝘂𝗺𝗮𝗻 𝗰𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆. At TASL, we believe that the next generation of embodied AI should be worthy of human trust. Looking back, I feel incredibly grateful for the journey that has brought me here: from my Ph.D. at the University of California, Berkeley, to my postdoc at Stanford University, to my faculty experience at the University of California, Riverside, and now to this exciting new chapter at Georgia Institute of Technology. I have been fortunate to learn from exceptional mentors, collaborate with outstanding colleagues, and work alongside amazing students whose curiosity and dedication continue to inspire me every day. 📢 𝗧𝗔𝗦𝗟 𝗶𝘀 𝗴𝗿𝗼𝘄𝗶𝗻𝗴! We're looking for curious, ambitious researchers who are excited to shape the future of trustworthy embodied AI. We are actively recruiting 𝗣𝗵.𝗗. 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 (𝗦𝗽𝗿𝗶𝗻𝗴/𝗙𝗮𝗹𝗹 𝟮𝟬𝟮𝟳), 𝗺𝗮𝘀𝘁𝗲𝗿’𝘀 𝗮𝗻𝗱 𝘂𝗻𝗱𝗲𝗿𝗴𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀, 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻𝘁𝗲𝗿𝗻𝘀, 𝘃𝗶𝘀𝗶𝘁𝗶𝗻𝗴 𝘀𝗰𝗵𝗼𝗹𝗮𝗿𝘀, 𝗼𝗿 𝗽𝗼𝘀𝘁𝗱𝗼𝗰𝘁𝗼𝗿𝗮𝗹 𝘀𝗰𝗵𝗼𝗹𝗮𝗿𝘀 who are passionate about Embodied AI, Physical AI, Trustworthy AI, Robot Learning, Foundation Models, Human-Robot Interaction, and Multi-Agent Systems. 🤝 Whether you're a prospective student, collaborator, or industry partner, I'd love to connect!!! #GeorgiaTech #Robotics #EmbodiedAI #PhysicalAI #TrustworthyAI #RobotLearning #AutonomousSystems #MachineLearning #HumanRobotInteraction #FoundationModels #PhDRecruitment
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Congcong Li liked thisCongcong Li liked thisMatt Wilsey has been fighting for his daughter Grace, and kids like her, for over a decade. They’ve gotten closer to the finish line than almost anyone who’s tried this before. This article says a lot about what it actually takes to get this far.The quest to save Grace — and clear the way for rare disease patients everywhereThe quest to save Grace — and clear the way for rare disease patients everywhere
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Congcong Li liked thisHonored to be selected as a National Academy of Medicine Emerging Leader. I’m deeply grateful to the National Academy of Medicine for this recognition and the opportunity to work with NAM leadership and fellow Emerging Leaders to help shape the future of health and medicine, especially in the era of #AI4Health. This recognition also reflects the incredible support from my students, trainees, collaborators, mentors, colleagues, and family throughout my journey. I’m excited to continue advancing intelligent imaging, trustworthy medical AI, and brain health research through interdisciplinary collaboration, while mentoring the next generation of researchers and innovators. Looking forward to the conversations, collaborations, and impact ahead.Congcong Li liked thisCongratulations to Ruogu Fang, Ph.D., associate professor and J. Crayton Pruitt Family Term Fellow, on being selected as a 2026 Emerging Leaders in Health and Medicine Scholar by the National Academy of Medicine. https://lnkd.in/eCpSyTbh
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Congcong Li liked thisCongcong Li liked thisApril is National Cancer Prevention & Early Detection Month, prompting me to reflect and ask you to i) ensure you and your loved ones get the recommended cancer screenings on a timely basis (see here: lnkd.in/etHRNvQE); and ii) ask questions to understand and advocate for yourself if you notice unusual changes in your body. I received my first of two cancer diagnoses 25 years ago after a routine mammogram. Thanks to an early diagnosis and the extraordinary care I received at Memorial Sloan Kettering Cancer Center, I have years of memories and milestones I feared I would miss. I am one of the lucky ones. All too often I hear stories of those facing their own ‘Day 1’ of their journey with this disease. It is a community that is growing at a staggering rate. According to the American Cancer Society, more than 2M people in the US will be diagnosed with cancer in 2026, and 20M worldwide. Notably, early-onset cancer (diagnosed in adults under 50) is rising sharply, disproportionately for women. On the positive side, the pace of scientific discovery and advancement offers cause for hope. At Google, we believe that cancer will be conquered in our lifetime – which means some types will be eradicated while others will become manageable through accelerated drug discovery and enhanced early detection enabled by AI. As a cancer survivor, “manageable” is a word I learned to love and respect. This shift is already evident: innovations like CAR-T and checkpoint inhibitors have made some previously lethal cancers treatable; AI is helping radiologists evaluate thousands of scans faster; and research from Google with the NHS England and Imperial College London shows AI can help identify 25% of "interval cancers" previously missed in screenings. Computational oncologists (using AI to analyze complex biological data and model the cancer progression) working alongside clinical oncologists are accelerating breakthroughs at an unprecedented rate, transforming months of traditional clinical observation into actionable, personalized treatment pivots in days. Google’s work with the American Society of Clinical Oncology (ASCO) on the ASCO Guidelines Assistant [lnkd.in/eiSJAVfQ] helps oncologists pinpoint life-saving treatment recommendations by condensing complex, evidence-based oncology guidelines into a conversational interface – building on ASCO’s trusted, citable work to empower clinicians with the latest evidence, so they can focus on care. Extraordinary outcomes possible with AI, in support of clinicians, should give us all hope for a future when cancer becomes manageable, regardless of the zip code in which you live or the cancer you have. That future starts with a screening – the time granted with early detection is the greatest gift for ourselves and our loved ones. The guidelines above outline when to start, based on age and risk factors. Make the appointment, get tested, don’t delay. Very few things are more important.
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Cornell University
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Research Area: Computer Vision, Machine Learning, Image Processing, Multimedia
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