Podcast appearances and mentions of lu zhang

To mark International Women’s Day, we hear from four inspirational female leaders in finance. They discuss gender-lens investing, the rise of female-controlled wealth and its effects on broader economics, and the challenges facing female founders seeking to raise capital. Featuring (above left to right) Anouk Hilti-Zingg of Assarée; Julia Rees Toader of independent portfolio advisory firm Princes Capital; Lu Zhang, founder and managing partner of Fusion Fund; and Ana Mahony, CEO of Addition Wealth.See omnystudio.com/listener for privacy information.

Are you curious about the hidden factors driving your investment decisions? Today's guest is Andrew Chen, a Principal Economist at the Federal Reserve Board who focuses on monetary policy and financial stability. Published in leading journals, his research informs key policy decisions and helps shape the Federal Reserve's strategy for managing economic challenges effectively. In this episode, Andrew delves into the intricacies of meta-research and asset pricing, focusing on cross-sectional asset pricing predictors, replication, and out-of-sample performance in factor investing. We discuss the significance of open-source data and transparency, highlighting Andrew's creation of the Open Source Asset Pricing project, an indispensable and comprehensive dataset for asset pricing predictors. We also address the challenges of replicating financial studies, publication bias, data mining, and false discovery rates, with Andrew offering practical insights on how these factors impact financial research and investment decisions. For actionable insights that could refine your investment strategies and enhance your understanding of financial research, don't miss this fascinating conversation!   Key Points From This Episode:   (0:03:43) What an asset pricing factor is and how it differs from a predictor. (0:04:25) Three plausible explanations for why cross-sectional predictors exist. (0:05:45) Insight into Andrew's Open Source Asset Pricing project and why it's so important. (0:09:49) Where the results of his research diverge from other papers on the subject. (0:11:42) How the returns on anomalies in his data sample change post-publication. (0:12:33) Implications of this research for the “replication crisis” in cross-sectional asset pricing. (0:14:14) Challenges of false discovery rates, publication bias, and out-of-sample returns. (0:18:37) The effect of transaction costs on expected returns from factor investing. (0:22:02) Problems with estimating factor expected returns using historical data. (0:26:08) A big-picture view of the factors with the strongest investable expected returns. (0:29:12) The relative value of peer-reviewed factors with strong theoretical underpinnings. (0:35:13) Whether or not machine learning can be useful for asset pricing research. (0:37:39) Practical advice for using financial research to inform your investment decisions. (0:40:08) Andrew's take on the current state of cross-sectional asset pricing. (0:42:58) The simple way that Andrew defines success for himself.   Links From Today's Episode:   Rational Reminder on Apple Podcasts — https://podcasts.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582 Rational Reminder Website — https://rationalreminder.ca/  Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on X — https://x.com/RationalRemind Rational Reminder on YouTube — https://www.youtube.com/@rationalreminder/ Rational Reminder Email — info@rationalreminder.caBenjamin Felix — https://www.pwlcapital.com/author/benjamin-felix/  Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://www.pwlcapital.com/profile/cameron-passmore/ Cameron on X — https://x.com/CameronPassmore Cameron on LinkedIn — https://www.linkedin.com/in/cameronpassmore/ Mark McGrath on LinkedIn — https://www.linkedin.com/in/markmcgrathcfp/ Mark McGrath on X — https://x.com/MarkMcGrathCFP Andrew Chen — https://sites.google.com/site/chenandrewy/ Federal Reserve Board — https://www.federalreserve.gov/ Andrew Chen on LinkedIn — https://www.linkedin.com/in/andrew-chen-63394169/ Andrew Chen on X — https://x.com/achenfinance Open Source Asset Pricing Project — https://www.openassetpricing.com/ Center for Research in Security Prices — https://www.crsp.org/   Books From Today's Episode:    The Adaptive Markets Hypothesis: An Evolutionary Approach to Understanding Financial System Dynamics — https://www.amazon.com/dp/0199681147   Papers From Today's Episode:    Andrew Chen, Tom Zimmermann, 'Open Source Cross-Sectional Asset Pricing'— https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3604626 Kewei Hou, Chen Xue, Lu Zhang, 'Replicating Anomalies' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3275496 R. David McLean, Jeffrey Pontiff, 'Does Academic Research Destroy Stock Return Predictability?' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2156623 Ilia D. Dichev, 'Is the Risk of Bankruptcy a Systematic Risk?' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=99868 Campbell R. Harvey, Yan Liu, Caroline Zhu, ‘…and the Cross-Section of Expected Returns' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2249314 Andrew Chen, Mihail Velikov, ‘Zeroing in on the Expected Returns of Anomalies' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3073681 Andrew Chen, Alejandro Lopez-Lira, Tom Zimmermann, ‘Does Peer-Reviewed Research Help Predict Stock Returns?' — https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4308069  

Lex chats with  Lu Zhang, the founder and managing partner at Fusion Fund, a venture fund that invests in deep technology, including artificial intelligence (AI) and healthcare. They discuss Lu's experience as an entrepreneur and the challenges she faced in building her own company. Lu also shares her investment thesis on AI, highlighting the opportunities in AI application and infrastructure. She believes that while large tech companies dominate the consumer AI market, there are still opportunities for startups in enterprise AI, particularly in industries with high-quality data and a need for AI solutions. Lu also discusses the potential of edge computing and the importance of addressing energy consumption and data privacy in AI infrastructure. She emphasizes the coexistence of large and small AI models and the need for practical, cost-efficient solutions. Finally, Lu discusses the revenue pools for AI companies and the growing awareness and adoption of AI in enterprises. She encourages startups to focus on reducing energy consumption in AI and addressing sustainability challenges. MENTIONED IN THE CONVERSATION Fusion Fund's Website: https://bit.ly/4egJMgpLu's LinkedIn: https://bit.ly/3KIWozf Topics: Venture Capital, VC, Innovation, Artificial Intelligence, Startup, Infrastructure, LLM, Decentralized AI, HealthcareCompanies: Fusion Fund, OpenAI, IBM, Microsoft, Nvidia, AMD ABOUT THE FINTECH BLUEPRINT 

End-to-end transformer-based detectors (DETRs) have shown exceptional performance in both closed-set and open-vocabulary object detection (OVD) tasks through the integration of language modalities. However, their demanding computational requirements have hindered their practical application in real-time object detection (OD) scenarios. In this paper, we scrutinize the limitations of two leading models in the OVDEval benchmark, OmDet and Grounding-DINO, and introduce OmDet-Turbo. This novel transformer-based real-time OVD model features an innovative Efficient Fusion Head (EFH) module designed to alleviate the bottlenecks observed in OmDet and Grounding-DINO. Notably, OmDet-Turbo-Base achieves a 100.2 frames per second (FPS) with TensorRT and language cache techniques applied. Notably, in zero-shot scenarios on COCO and LVIS datasets, OmDet-Turbo achieves performance levels nearly on par with current state-of-the-art supervised models. Furthermore, it establishes new state-of-the-art benchmarks on ODinW and OVDEval, boasting an AP of 30.1 and an NMS-AP of 26.86, respectively. The practicality of OmDet-Turbo in industrial applications is underscored by its exceptional performance on benchmark datasets and superior inference speed, positioning it as a compelling choice for real-time object detection tasks. Code: url{https://github.com/om-ai-lab/OmDet} 2024: Tiancheng Zhao, Peng Liu, Xuan He, Lu Zhang, Kyusong Lee https://arxiv.org/pdf/2403.06892

Lu Zhang provides an update on work published last year on the effect of dust on pistachio pollen, flowers, nut set, and blanking (it's not good!). Please note that there are other physiological causes of blanking, such as incomplete pollination or aborted kernel development, and that we have not determined how much dust could contribute to blanking in the field. Also, the episode was recorded before the heavy rains in March in the southern San Joaquin Valley, so high dust conditions may not occur this year.The American Society for Horticultural Science dropped its paywall, so you can read the article yourself at https://journals.ashs.org/hortsci/view/journals/hortsci/54/11/article-p1967.xml.Thank you to the Almond Board of California, the California Pistachio Research Board, the California Prune Board, and the California Walnut Board for their support. Music is by Muriel Gordon.

In this episode, I talk with Lu Zhang, the Founder and Managing Partner of Fusion Fund, about the transformative power of AI in healthcare. We delve into her journey from a serial entrepreneur to becoming a venture capitalist, and discuss the challenges and opportunities that AI brings to the healthcare sector. Get on the AI Box Waitlist: ⁠⁠⁠https://AIBox.ai/⁠⁠⁠ Facebook Community: ⁠⁠⁠⁠https://www.facebook.com/groups/739308654562189/⁠⁠⁠⁠ Discord Community: ⁠⁠⁠https://aibox.ai/discord⁠⁠⁠ Follow me on X: ⁠⁠⁠https://twitter.com/jaeden_ai⁠⁠⁠

#venturecapital #deeptech #investor #fusionfund Lu Zhang is the Founding and Managing Partner of Fusion Fund. Prior to starting Fusion Fund, she was a Venture Partner at Fenox Venture Capital. She participated in over 20 investments and assist M&A of the portfolios. Lu was also the Founder and CEO of Acetone Inc. (acquired 2012), a start-up focused on non-invasive technology for the early diagnosis of Type II diabetes. She has also worked as a consultant at the United Nations Industrial Development Agency. Lu received her M.S. in Materials Science and Engineering from Stanford University and holds several patents. She is an advisor and mentor to several innovative programs and incubators in Silicon Valley. Lu has won numerous awards and is frequently invited to speak at events. She was recently awarded the Forbes US 30 under 30 & Featured as the Honoree of VC category. She was also awarded the Forbes Asia 30 under 30 of Finance category in the same year. https://www.fusionfund.comhttps://www.linkedin.com/in/luzhangvc Time Stamp 0:00 to 02:40- Intro & background 02:40 to 06:05-Acetone Inc- Non Invasive wearable device for type II diabetes 06:05 to 08:59- Silicon Valley Investor Ecosystem for Outsiders 08:59 to 14:38- Advice to women entrepreneurs 14:38 to 17:12- Fusion Fund portfolio companies 17:12 to 19:06- AI for healthcare 19:06 to 20:36- AI Applications in Healthcare 20:36 to 22:01- Making AI Healthcare Globally Accessible 22:01 to 24:17- Investing Strategy 24:17 to 25:11- India Market Opportunity 25:11 to 26:16- Sunrise sectors 26:16 to 28:06- Is monetization a problem with the democratization of tech? 28:06 to 29:30- Global Downturn & the VC Industry 29:30 to 31:11- Fusion fun future & moonshot Watch our highest-viewed videos: 1-DR R VIJAYARAGHAVAN - PROF & PRINCIPAL INVESTIGATOR AT TIFR India's 1st Quantum Computer- https://youtu.be/ldKFbHb8nvQ 2-TATA MOTORS- DRIVING THE FUTURE OF MOBILITY IN INDIA- SHAILESH CHANDRA- MD: TATA MOTORS-https://youtu.be/M2Ey0fHmZJ0 3-MIT REPORT PREDICTS SOCIETAL COLLAPSE BY 2040 - GAYA HERRINGTON -DIR SUSTAINABILITY: KPMG- https://youtu.be/Jz29GOyVt04 4-WORLDS 1ST HUMAN HEAD TRANSPLANTATION- DR SERGIO CANAVERO - https://youtu.be/KY_rtubs6Lc 5-DR HAROLD KATCHER - CTO NUGENICS RESEARCH Breakthrough in Age Reversal- https://youtu.be/214jry8z3d4 6-Head of Artificial Intelligence-JIO - Shailesh Kumar https://youtu.be/q2yR14rkmZQ 7-STARTUP FROM INDIA AIMING FOR LEVEL 5 AUTONOMY - SANJEEV SHARMA CEO SWAAYATT ROBOTS - https://youtu.be/Wg7SqmIsSew 8-MAN BEHIND GOOGLE QUANTUM SUPREMACY - JOHN MARTINIS  - https://youtu.be/Y6ZaeNlVRsE 9-BANKING 4.0 - BRETT KING FUTURIST, BESTSELLING AUTHOR & FOUNDER MOVEN - https://youtu.be/2bxHAai0UG0 10-E-VTOL & HYPERLOOP- FUTURE OF INDIA" S MOBILITY- SATYANARAYANA CHAKRAVARTHY https://youtu.be/ZiK0EAelFYY 11-HOW NEUROMORPHIC COMPUTING WILL ACCELERATE ARTIFICIAL INTELLIGENCE - PROF SHUBHAM SAHAY- IIT KANPUR- https://youtu.be/sMjkG0jGCBs 12-INDIA'S QUANTUM COMPUTING INDUSTRY- PROF ARUN K PATI -DIRECTOR QETCI- https://youtu.be/Et98nkwiA8w Connect & Follow us at: https://in.linkedin.com/in/eddieavil https://in.linkedin.com/company/change-transform-india https://www.facebook.com/changetransformindia/ https://twitter.com/intothechange https://www.instagram.com/changetransformindia/ Listen to the Audio Podcast at: https://anchor.fm/transform-impossible https://podcasts.apple.com/us/podcast/change-i-m-possibleid1497201007?uo=4 https://open.spotify.com/show/56IZXdzH7M0OZUIZDb5mUZ https://www.breaker.audio/change-i-m-possible https://www.google.com/podcasts?feed=aHR0cHM6Ly9hbmNob3IuZm0vcy8xMjg4YzRmMC9wb2RjYXN0L3Jzcw Dont Forget to Subscribe www.youtube.com/@toctwpodcast

Today on the show, we are joined by Lin Zhao and Lu Zhang. Lin is a Senior Research Scientist at United Imaging Intelligence, while Lu is a Ph.D. candidate at the Department of Computer Science and Engineering at the University of Texas. They both shared findings from their work When Brain-inspired AI Meets AGI. Lin and Lu began by discussing the connections between the brain and neural networks. They mentioned the similarities as well as the differences. They also shared whether there is a possibility for solid advancements in neural networks to the point of AGI. They shared how understanding the brain more can help drive robust artificial intelligence systems. Lin and Lu shared how the brain inspired popular machine learning algorithms like transformers. They also shared how AI models can learn alignment from the human brain. They juxtaposed the low energy usage of the brain compared to high-end computers and whether computers can become more energy efficient.

Ms. Lu Zhang moved from Inner Mongolia to the United States at the age of 20 to study material sciences at Stanford. Shortly after graduation, she founded her first company - one that made her independently wealthy. Today she leads Fusion Fund, a Palo-Alto based venture capital company that focuses on early stage investments. Ms Zhang is recognized as one of the top 25 leading female entrepreneurs in Silicon Valley. I met Lu at a private gathering of venture capital leaders gathering earlier this year. She struck me as an exceptionally smart and driven individual. In this episode, we will learn how Lu thinks about risk and how she picks winners. We will also discover the meaning of her name and what kind of cars she drives. Hint: One is German and the other is made in America. Lu Zhang, Founder, Fusion Fund, on the Driving With Dunne podcast. #DrivingWithDunne / #ZozoGo https://twitter.com/Dunne_ZoZoGohttps://www.instagram.com/zo.zo.go/?hl=enhttps://www.linkedin.com/in/michael-dunne-a696901a/

This week on Finding Proof, Thanasis and Jenny sit down with Lu Zhang, the founder and managing partner of Fusion Fund, a Silicon Valley-based seed and early-stage investor that focuses on healthcare and deep tech. An entrepreneur herself, Lu started Fusion at the impressive age of 25.

Lu Zhang is the Founder and Managing Partner of Fusion Fund, a renowned Silicon Valley based investor, a serial entrepreneur, and a Stanford Engineering alumna. Lu was recently selected as one of the Best 25 Female Early-stage Investors by Business Insider (2021). As one of the top female investors in America, Lu's story was a case study of the UN Women Leaders in Action series, she was a World Economic Forum – Young Global Leader (Class of 2018), as well as the Featured Honoree in VC of Forbes 30 Under 30 (2017). Prior to starting Fusion Fund, she was the Founder and CEO of a medical device company focused on non-invasive technology for the early diagnosis of Type II diabetes. Lu is a frequent speaker at tech events and conferences and also serves as a mentor and advisor to several tech innovation programs in Silicon Valley. Lu is the board member and chairman of the Youth Council of Future Forum and Future Science Award.Fusion Fund supports early-stage entrepreneurs who are looking to build globally disruptive companies using innovative technologies to drive systemic change. We are entering the next wave of technological advancement and foundational innovation is required to enable massive growth. With Fusion Fund's technical and entrepreneurial backgrounds, we seek to support entrepreneurs who are building companies with strong technical barriers and advantages in their business models. Fusion Fund explores both established industries and nascent markets as we search for the next teams of entrepreneurs. Areas we have strong conviction include: network technology, connected industry, AI, Health + medical, deep tech.@FusionFundVC @luzhangvcPodcast Link: https://link.chtbl.com/FemTechFocusSocial HandlesLinkedin: @FemTech Focus @Brittany BarretoTwitter: @Femtech_Focus @DrBrittBInstagram: @FemTechFocus @DrBrittanyBarretoFacebook: @FemTech Focus @Dr. Brittany BarretoFemTech Focus Bio:FemTech Focus is a 501c3 non-profit organization founded to bring awareness externally and internally for the FemTech industry and to empower the key stakeholders including entrepreneurs, investors, physicians, governments, and biopharma with resources and research to elevate women's health and wellness globally. Subscribe and Donate: www.femtechfocus.orgFemTech Focus Podcast Description:The FemTech Focus Podcast with Dr. Brittany Barreto is a meaningfully provocative conversational series that brings women's health experts - including doctors, scientists, inventors, and founders - on air to talk about the innovative technology, services, and products that are improving women, female, and girl's health and wellness, collectively known as FemTech. The podcast gives the host, Dr. Brittany Barreto, and guests an engaging, friendly environment to learn about the past, present, and future of women's health and wellness.

Not too long ago, companies in deep tech and healthcare were often overlooked for funding in favor of companies focused on consumer products and business innovation. Lu Zhang, Founder & Managing Partner of Fusion Fund, has worked to change that. As a solo founder of a medical device company, she has a unique perspective on how to lead a deep tech/healthcare company to a successful exit. Special guest host Jeff Burkland, Founder & CEO of Burkland, returns to chat with Lu about her experience as a startup founder, how her fund chooses companies to support, and her quest to bring more female and minority voices into businesses and startups. We discuss: - Why Fusion Fund focuses on tech and timing in early stage investments - How Lu leverages a CXO network for funding decisions - The benefits of fostering cognitive diversity on your team - Initiatives to empower female leadership in the boardroom This discussion with Lu Zhang was taken from our show Startup Success. Find Lu on LinkedIn at linkedin.com/in/luzhangvc, email her at luzhang@fusionfund.com or visit fusionfund.com. If you want to hear more episodes like this one, check us out on Apple Podcasts. If you don't use Apple Podcasts, you can find every episode here. Listening on a desktop & can't see the links? Just search for Startup Success in your favorite podcast player.

In this conversation we dive deep into the inner skills that have contributed to Lu's outward success. A product of inner Mongolia and a child of entrepreneurs, Lu cultivated a fearlessness toward risk and discomfort early on in life. She also discusses the power of being equanimous and non judgemental in the face of challenge, and the personal freedom and power that comes from being fiercely and consistently authentic to her true self. You will also hear Lu reflect on how, over time, she learned that an airtight conviction to her principles is the most effective antidote to pitfalls associated with ego, comparison and competition and the best path to contributing real value in the world. About Lu:Lu Zhang is the Founder and Managing Partner of Venture firm Fusion Fund, a serial entrepreneur. She is a World Economic Forum Young Global Leader and has been named Forbes 30 under 30, a Silicon Valley Women of Influence, and Best 25 Female Investor by Business Insider. Prior to starting Fusion Fund, she was the Founder and CEO of a medical device company focused on non-invasive technology for the early diagnosis of Type II diabetes, acquired in 2012. She received her Masters in Materials Science and Engineering from Stanford University. Learn more about Fusion Fund: https://www.fusionfund.com/Follow Lu & Fusion Fund on Twitter: @LuZhangVC - https://twitter.com/luzhangvc@FusionFundVC - https://twitter.com/FusionFundVC--For more from Host Pooja Mottl:  www.PoojaMottl.comPodcast Producer: www.Go-ToProductions.comTwitter: @PoojaMottlInstagram: @TheCalmandFreePodcast and @PoojaMottl  LinkedIn: @PoojaMottlSpecial Thanks : Kris Kosach of the TPR Podcast for lending her VO for our Podcast IntroJessica Panian for her help with our graphic design. 

Asset pricing models have evolved significantly over the past several decades. From the Capital Asset Pricing Model to Fama and French's 3 Factor Model to their more recent 5 and 6 Factor Models, academic research has continued to work to improve our understanding of what drives stock prices. But our guest this week thinks asset pricing models might need a revolution more than evolution. We speak with Lu Zhang, who is the John W. Galbreath Chair and Professor of Finance at the Fisher College of Business at Ohio State University. He is also the creator of the Q factor model, which takes a first principles approach to asset pricing that starts with economic theory rather than adopting the framework of previous models. We discuss the evolution of asset pricing models over time and take a detailed look at the major models that have come along the way. We then look at the philosophical arguments for why traditional asset pricing models may be taking the wrong approach and look at the details of the Q factor model. We hope you enjoy the discussion. ABOUT THE PODCAST Excess Returns is an investing podcast hosted by Jack Forehand (@practicalquant) and Justin Carbonneau (@jjcarbonneau), partners at Validea. Justin and Jack discuss a wide range of investing topics including factor investing, value investing, momentum investing, multi-factor investing, trend following, market valuation and more with the goal of helping those who watch and listen become better long term investors. SEE LATEST EPISODES https://www.validea.com/excess-returns-podcast FIND OUT MORE ABOUT VALIDEA https://www.validea.com FOLLOW OUR BLOG https://blog.validea.com FIND OUT MORE ABOUT VALIDEA CAPITAL https://www.valideacapital.com FOLLOW JACK Twitter: https://twitter.com/practicalquant LinkedIn: https://www.linkedin.com/in/jack-forehand-8015094 FOLLOW JUSTIN Twitter: https://twitter.com/jjcarbonneau LinkedIn: https://www.linkedin.com/in/jcarbonneau

Shownotes for Lu Zhang Lu Zhang is the Founder and Managing Partner of Fusion Fund, a renowned Silicon Valley based investor, a serial entrepreneur and a Stanford Engineering alumna. Fusion Fund is active in supporting early-stage entrepreneurs who are looking to build globally disruptive companies using innovative technologies to drive systemic change originating from the U.S market. For the past couple of years, Lu leads the Fusion Fund team funnels exits of multiple portfolios' IPO and M&As. Lu is a World Economic Forum (Davos) Young Global Leader and was also recently selected as the Best 25 Female early stage Investor by Business Insider. She has also garnered other accolades including the Featured Honoree in VC of Forbes 30 Under 30, Silicon Valley Women of Influence, Town & Country 50 Modern Swans – Entrepreneurship Influencer and Top 10 All America Chinese Youth. As one of the top female investors in America, Lu was featured in the book – Women Who Venture, and her story was a case study of UN Women Leaders in Action series. Prior to starting Fusion Fund, Lu was the Founder and CEO of a medical device company focused on non-invasive technology for the early diagnosis of Type II diabetes (acquired in 2012). Lu is a frequent speaker at tech events and conferences and also serves as a mentor and advisor to several tech innovation programs in Silicon Valley. Lu is also the board member and chairman of the Youth Council of Future Forum and Future Science Award   On today Show we Talk about: What experiences, education, or background, should a fund manager have? Techniques or strategies to raising a fund? How is raising the second fund different from the first? Secrets for founder or investors on time management or priorities with goals and getting things done?   Connect with Lu Linkedin https://www.linkedin.com/in/luzhangvc/ Website www.fusionfund.com Twitter @luzhangvc   CONNECT WITH SHAWN https://linktr.ee/ShawnflynnSV Shawn Flynn's LinkedInAccount Silicon Valley LinkedInGroup Account Shawn Flynn's FacebookAccount Email Shawn@thesiliconvalleypodcast.com  

On this episode of the AI Show, Seth welcomes back Lu Zhang! Lu will walk us through how to use the new prebuilt model in Azure Form Recognizer to extract key-value pairs from ID documents like passport and US driver's license, using the REST APIs, SDKs or low-code/no-code in AI Builder.Jump to:[00:17] Seth welcomes Lu Zhang[00:29] What is Form Recognizer?[01:17] What Form Recognizer does for ID documents?[01:52] What is an ID Doc?[02:53] How it works[03:45] What is FOTT?[04:40] Demo[09:10] How to do this in a low code, no code way[09:42] What is AI Builder?[10:21] ID flow Demo[11:47] Where to go to learn moreLearn more:Azure Form Recognizer Get Started https://aka.ms/AIShow/FormRecognizer/Get-StartedForm Recognizer Client Library SDKs https://aka.ms/AIShow/FormRecognizer/ClientLibrarySDKs Form Recognizer API doc https://aka.ms/AIShow/FormRecognizerAPI/DocPrebuilt ID doc https://aka.ms/AIShow/PrebuiltID/DocZero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeFollow Seth https://twitter.com/sethjuarezFollow Lu Lu Zhang | LinkedInAI Show Playlist https://aka.ms/AIShowPlaylistDon't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeJoin us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

On this episode of the AI Show, Seth welcomes back Lu Zhang! Lu will walk us through how to use the new prebuilt model in Azure Form Recognizer to extract key-value pairs from ID documents like passport and US driver's license, using the REST APIs, SDKs or low-code/no-code in AI Builder.Jump to:[00:17] Seth welcomes Lu Zhang[00:29] What is Form Recognizer?[01:17] What Form Recognizer does for ID documents?[01:52] What is an ID Doc?[02:53] How it works[03:45] What is FOTT?[04:40] Demo[09:10] How to do this in a low code, no code way[09:42] What is AI Builder?[10:21] ID flow Demo[11:47] Where to go to learn moreLearn more:Azure Form Recognizer Get Started https://aka.ms/AIShow/FormRecognizer/Get-StartedForm Recognizer Client Library SDKs https://aka.ms/AIShow/FormRecognizer/ClientLibrarySDKs Form Recognizer API doc https://aka.ms/AIShow/FormRecognizerAPI/DocPrebuilt ID doc https://aka.ms/AIShow/PrebuiltID/DocZero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeFollow Seth https://twitter.com/sethjuarezFollow Lu Lu Zhang | LinkedInAI Show Playlist https://aka.ms/AIShowPlaylistDon't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeJoin us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

In our weekly summary of the best posts on the Guru Investor blog, Jack Forehand and Justin Carbonneau discuss the original content we produced and their favorite outside articles we featured on the blog for the week ending 3/5/2021. The Posts We Discuss Bridgeway's John Montgomery On Their Unique Culture and Lessons From a 25+ Years in Quant Investing – Validea's Guru Investor Blog Academic Research Spotlight: Replicating Anomalies by Lu Zhang, Chen Xue and Kewei Hou (Ep. 73) – Validea's Guru Investor Blog Bitcoin Grows Up – Validea's Guru Investor Blog Zweig: Every Investor Needs a Charlie Munger – Validea's Guru Investor Blog Ark CEO Cathie Wood Talks ‘Deep Value' – Validea's Guru Investor Blog Find Out More About Validea https://www.validea.com Follow Jack on Twitter https://www.validea.com/practicalquant Follow Justin on Twitter https://www.validea.com/jjcarbonneau Follow Us on YouTube https://www.validea.com/excess-returns-podcast

In this episode, we are trying something new. There is so much academic research out there about markets, and what drives their returns over time, that it can be very difficult for investors to keep up with all of it. So we are going to start highlighting some of our favorite academic papers each month and breaking down their key lessons. We start with paper Replicating Anomalies by Lu Zhang, Chen Xue and Kewei Hou. In this paper, the authors examined 452 stock market anomalies to see how they held up once the impact of micro-cap stocks was reduced. We summarize the findings from the paper and what they mean for investors. We hope you enjoy the discussion. DIRECT LINK TO REPLICATING ANOMALIES PAPER Replicating Anomalies by Kewei Hou, Chen Xue, Lu Zhang :: SSRN ABOUT THE PODCAST Excess Returns is an investing podcast hosted by Jack Forehand (@practicalquant) and Justin Carbonneau (@jjcarbonneau), partners at Validea. Justin and Jack discuss a wide range of investing topics including factor investing, value investing, momentum investing, multi-factor investing, trend following, market valuation and more with the goal of helping those who watch and listen become better long term investors. SEE LATEST EPISODES https://www.validea.com/excess-returns-podcast FIND OUT MORE ABOUT VALIDEA https://www.validea.com FOLLOW OUR BLOG https://blog.validea.com FIND OUT MORE ABOUT VALIDEA CAPITAL https://www.valideacapital.com FOLLOW JACK Twitter: https://twitter.com/practicalquant LinkedIn: https://www.linkedin.com/in/jack-forehand-8015094 FOLLOW JUSTIN Twitter: https://twitter.com/jjcarbonneau LinkedIn: https://www.linkedin.com/in/jcarbonneau

Your next raise doesn't have to depend on your runway. If fact, it's better if it doesn't. Instead, getting to your next milestone is a much stronger reason to structure another round and raise. You can tell the right story and show VCs motivation for raising again. Compare that with “I'm running out of cash, help” narrative when you have 3-4 months of runway.  Here are the main talking points:  How to structure your future financial round When is best time to raise money as a founder How serial entrepreneurs look at valuation & raising money vs first-time founders About Lu:Lu Zhang is the Founder and Managing Partner of Fusion Fund, a renowned Silicon Valley based investor, a serial entrepreneur and a Stanford Engineering alumni. Fusion Fund is active in supporting early-stage entrepreneurs who are looking to build globally disruptive companies using innovative technologies to drive systemic change originating from the U.S market. For the past couple of years, Lu leads the Fusion Fund team funnels exits of multiple portfolios' IPO and M&As.Lu received the title of 2018 Young Global Leader by the World Economic Forum (Davos). She has also garnered other accolades including the Featured Honoree in VC of Forbes 30 Under 30 (2017), Silicon Valley Women of Influence (2018), Town & Country 50 Modern Swans – Entrepreneurship Influencer (2017) and Top 10 All America Chinese Youth (2018). Prior to starting Fusion Fund, Lu was the Founder and CEO of a medical device company focused on non-invasive technology for the early diagnosis of Type II diabetes (acquired in 2012). 

In this episode, Cammi deals with the aftermath of posting six pics in a row in Instagram and Gus, as usual, knows everything about a Skutt and how to get out of working in his studio. They talk to Herb Tam and Lu Zhang about their quarantine project VSV Loop.

Hey everyone, welcome to the second episode of Unfolding Enactus! In this episode, we are going to hear from Sven, Michelle, and Gabriel who are members of the Enactus University of Mannheim Blauherz initiative! Blauherz is an inclusive fashion startup that produces innovative clothing for people with disabilities. Learn all about why what, and how of the Blauherz and how Enactus has impacted these three students! At the end of the episode listen to some advice that Sven, Michelle, and Gabriel have for everyone listening. Also shoutout to Lu Zhang from China for being our alumni spotlight this week and to Mike from Ford, for being the representative of our Enactus sponsor spotlight! Overall the Blauherz initiative has empowered people with disabilities to take charge of their own style and fashion! Go listen!

Lu Zhang provides an update on work published last year on the effect of dust on pistachio pollen, flowers, nut set, and blanking (it’s not good!). Please note that there are other physiological causes of blanking, such as incomplete pollination or aborted kernel development, and that we have not determined how much dust could contribute to blanking in the field. Also, the episode was recorded before the heavy rains in March in the southern San Joaquin Valley, so high dust conditions may not occur this year.The American Society for Horticultural Science dropped its paywall, so you can read the article yourself at https://journals.ashs.org/hortsci/view/journals/hortsci/54/11/article-p1967.xml.Thank you to the Almond Board of California, the California Pistachio Research Board, the California Prune Board, and the California Walnut Board for their support. Music is by Muriel Gordon.

Lu Zhang is the Founder and Managing Partner of Fusion Fund. In 2017, Lu was awarded the Forbes 30 Under 30 as a Featured Honoree in the VC category. In the same year, she was selected as Town & Country 50 New Modern Swans. Recently, Lu was awarded as the Young Global Leader of the World Economic Forum, Davos. Prior to starting Fusion Fund, Lu was the Founder and CEO of a medical device company for the early diagnosis of Type II diabetes (acq 2012). She is an advisor and mentor to several innovative programs and incubators in Silicon Valley. She also serves as a youth member of a council of the Future Award. Lu received her M.S. in Materials Science and Engineering from Stanford University.

We are joined by Dr. Lu Zhang to discuss a research paper titled “An Empirical Analysis of the Displacement Effect of TFSAs on RRSPs”. We explore topics regarding Tax Free Savings Accounts, Retirement Savings Plans and the relationship they have in terms of the ability for Canadians to retire. This portion of the discussion focuses on the sample and findings of the research. The primary discovery of every 1 percent increase in a TFSA contribution reduces an RRSP contribution by approximately 0.4 percent serves as our basis for this conversation. To view the full report, visit: https://bit.ly/2xZSJaZ

Join us today as we speak with Lu Zhang from Fusion Fund about futuristic health.

This is the story of Lu Zhang, an entrepreneur, venture capitalist, and avid learner. On this episode, you'll hear about Lu's journey from Inner Mongolia to Stanford University where she created a medical device for early-stage diagnosis in Type II Diabetes to becoming a venture capitalist and launching her own venture capital firm, Fusion Fund. Like what you hear? Be sure to subscribe to the podcast and leave a review! Thanks for listening - Yinh

In this episode, Lu talks about why she started her venture fund and what does she look for in entrepreneurs and her advice on people who want to get into entrepreneurship and Venture capital world.

Wesley Gray - CEO of Alpha Architect Dr. Lu Zhang - The John W. Galbreath Chair, Professor of Finance, at the Fisher College of Business at The Ohio State University See acast.com/privacy for privacy and opt-out information.

In this episode, I have three guests on the show with me: Kewei Hou of Ohio State University, Chen Xue of the University of Cincinnati, and Lu Zhang of Ohio State University. Kewei, Chen, and Lu have coauthored a paper titled "Replicating Anomalies," a large-scale replication study that re-tests hundreds of so-called "anomalies" in financial markets. An anomaly is a predictable pattern in stock returns, or stated differently, it is a deviation from the efficient markets hypothesis. Their abstract reads as follows: The anomalies literature is infested with widespread p-hacking. We replicate the entire anomalies literature in finance and accounting by compiling a largest-to-date data library that contains 447 anomaly variables. With microcaps alleviated via New York Stock Exchange breakpoints and value-weighted returns, 286 anomalies (64%) including 95 out of 102 liquidity variables (93%) are insignificant at the conventional 5% level. Imposing the cutoff t-value of three raises the number of insignificance to 380 (85%). Even for the 161 significant anomalies, their magnitudes are often much lower than originally reported. Out of the 161, the q-factor model leaves 115 alphas insignificant (150 with t < 3). In all, capital markets are more efficient than previously recognized. We discuss the process of replicating these anomalies, issues involving the use of equal-weighted vs value-weighted returns, and the problems of p-hacking in finance research. Works Cited Hamermesh, Daniel S. 2007. “Replication in Economics.” Canadian Journal of Economics 40(3):715–733. Kewei Hou, Chen Xue, Lu Zhang; Digesting Anomalies: An Investment Approach. Rev Financ Stud 2015; 28 (3): 650-705. Hou, Kewei and Xue, Chen and Zhang, Lu, Replicating Anomalies (June 12, 2017). Charles A. Dice Center Working Paper No. 2017-10; Fisher College of Business Working Paper No. 2017-03-010. Other Links The Marginal Revolution post on this paper.  

Note: Lu?s webpage is ACTUALLY lu-zhang.com, with the hyphen. Don?t listen to me. But listen to the interview! Lu moved to the United States due to educational policies during China?s Cultural Revolution. Though she was rebellious in her teenage years, Lu?s art focuses on themes such as memory, and being a 1st generation American. We...

China's automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage...

China’s automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage... Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/chinese-studies

China’s automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage when the level of that competition was very high and profit margins were very thin. The state, as a consequence, has restructured the industry and increased competition since the late 1990s, and this has forced Chinese automakers to move toward a “leaner & meaner work regime,” according to Lu Zhang‘s new book. The result for autoworkers has been an increased intensity of work, reduced job security, stagnant wages, a lack of opportunities to advance, and an inferior status in a very hierarchical factory social order. Inside China’s Automobile Factories: The Politics of Labor and Worker Resistance (Cambridge University Press, 2015) explores one important consequence of this transformation, the emergence of “labor force dualism” (a divide between formal and temporary workers) as a central component of labor relations in the Chinese auto industry. Lu Zhang’s book is the fruit of 20 months of ethnographic research inside seven large auto assembly factories in six cities in China between 2004-2011 – spending at least two months in each factory – in addition to interviews with a range of workers and managers from those factories and archival research. She reminds us of the importance of reading this ethnography with a sensitivity to the specificity of China’s condition as a “state-led, late-industrializing nation with strong revolutionary and state-socialist legacies.” Tracing the roots and mechanics of labor unrest as it has emerged from those conditions, the book argues that widespread grassroots protests among autoworkers in China have succeeded, on some level: they’ve won workers wage increases, improved conditions on the shop floor, and pressured the government into enacting new labor laws and policy changes. Still, there is work to be done, and the book concludes by considering possible future scenarios for Chinese auto labor relations in the context of labor force dualism. Learn more about your ad choices. Visit megaphone.fm/adchoices

China’s automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage when the level of that competition was very high and profit margins were very thin. The state, as a consequence, has restructured the industry and increased competition since the late 1990s, and this has forced Chinese automakers to move toward a “leaner & meaner work regime,” according to Lu Zhang‘s new book. The result for autoworkers has been an increased intensity of work, reduced job security, stagnant wages, a lack of opportunities to advance, and an inferior status in a very hierarchical factory social order. Inside China’s Automobile Factories: The Politics of Labor and Worker Resistance (Cambridge University Press, 2015) explores one important consequence of this transformation, the emergence of “labor force dualism” (a divide between formal and temporary workers) as a central component of labor relations in the Chinese auto industry. Lu Zhang’s book is the fruit of 20 months of ethnographic research inside seven large auto assembly factories in six cities in China between 2004-2011 – spending at least two months in each factory – in addition to interviews with a range of workers and managers from those factories and archival research. She reminds us of the importance of reading this ethnography with a sensitivity to the specificity of China’s condition as a “state-led, late-industrializing nation with strong revolutionary and state-socialist legacies.” Tracing the roots and mechanics of labor unrest as it has emerged from those conditions, the book argues that widespread grassroots protests among autoworkers in China have succeeded, on some level: they’ve won workers wage increases, improved conditions on the shop floor, and pressured the government into enacting new labor laws and policy changes. Still, there is work to be done, and the book concludes by considering possible future scenarios for Chinese auto labor relations in the context of labor force dualism. Learn more about your ad choices. Visit megaphone.fm/adchoices

China’s automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage... Learn more about your ad choices. Visit megaphone.fm/adchoices

China’s automobile industry has grown considerably over the past two decades. Massive foreign investment and an increased scale and concentration of work spurred the creation of a new generation of autoworkers with increased bargaining power. At the same time, China entered the global competition in mass-producing automobiles at a stage when the level of that competition was very high and profit margins were very thin. The state, as a consequence, has restructured the industry and increased competition since the late 1990s, and this has forced Chinese automakers to move toward a “leaner & meaner work regime,” according to Lu Zhang‘s new book. The result for autoworkers has been an increased intensity of work, reduced job security, stagnant wages, a lack of opportunities to advance, and an inferior status in a very hierarchical factory social order. Inside China’s Automobile Factories: The Politics of Labor and Worker Resistance (Cambridge University Press, 2015) explores one important consequence of this transformation, the emergence of “labor force dualism” (a divide between formal and temporary workers) as a central component of labor relations in the Chinese auto industry. Lu Zhang’s book is the fruit of 20 months of ethnographic research inside seven large auto assembly factories in six cities in China between 2004-2011 – spending at least two months in each factory – in addition to interviews with a range of workers and managers from those factories and archival research. She reminds us of the importance of reading this ethnography with a sensitivity to the specificity of China’s condition as a “state-led, late-industrializing nation with strong revolutionary and state-socialist legacies.” Tracing the roots and mechanics of labor unrest as it has emerged from those conditions, the book argues that widespread grassroots protests among autoworkers in China have succeeded, on some level: they’ve won workers wage increases, improved conditions on the shop floor, and pressured the government into enacting new labor laws and policy changes. Still, there is work to be done, and the book concludes by considering possible future scenarios for Chinese auto labor relations in the context of labor force dualism. Learn more about your ad choices. Visit megaphone.fm/adchoices