Modeling Label Semantics Improves Activity Recognition, Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh Gupta, Jingbo Shang, Navigating Alignment for Non-Identical Client Class Sets: A Label Name-Anchored Federated Learning Framework, Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang, Towards Diverse and Coherent Augmentation for Time-Series Forecasting, Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong, Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks, Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Simunic Rosing, PrimeNet: Pre-training for Irregular Multivariate Time Series, Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang, First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting, Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang, NeurIPS 2022 All Things Attention Woskshop, Task-Aware Reconstruction for Time-Series Transformer, Ranak Roy Chowdhury, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang, ESC-GAN: Extending Spatial Coverage of Physical Sensors, Filling Conversation Ellipsis for Better Social Dialog Understanding, Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu, Neural Embeddings for Nearest Neighbor Search Under Edit Distance, CPS Rising Stars, 2023 We sent seven teams and one team got first place and another got third place. Piazza: piazza.com/ucsd/winter2021/dsc190a00. (Optional). While artificial intelligence (AI) can make connections within all this data, creating those models can be labor-intensive, particularly manually annotating data to train a model. There's basically no supervision at all, said Shang. These and others made significant offers, but he opted for UC San Diego. With the pandemic and the riots he cut the class alot of breaks. What's the limit of those machine learning or AI models? For example, can we borrow existing signals from a knowledge base, such as Wikipedia, and generate annotation from this input?. Im actively recruiting students who are excited about doing fun research. Enter your feedback below and we'll get back to you as soon as possible. . Jingbo Shang - Google Scholar Jingbo Shang is an Assistant Professor at UCSD jointly appointed by Computer Science and Halcolu Data Science Institute. My research focuses on ways to reduce human effort in this model building process, said Shang. Class Time: Wednesdays, 9 to 9:50 AM Pacific Time. Here is my Youtube Channel. At this point I prefer academia because I enjoy working on the problems that interest me, rather than ones that interest the company, said Shang. This approach is called distant supervision, because they are bringing in data from a source intended for a different task. Ph.D. Student @ Dept of Computer Science and Engineering. He's very receptive to feedback and listens to students, and he adjusted HW difficulty when he realized one of the HWs was too hard & held many extra office hours. Very efficient teaching style and lecture slides are clear as well. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. I have decided to be a Youtuber, sharing my cooking secrets, because COVID-19 makes many of my students have to cook at home by themselves in first time. Throughout my 5-year PhD study at UIUC, I have summarized some tricks to prepare two delicious entrees in 30 mins. Open Access. Room: WLH 2005. We gratefully acknowledge the support of the OpenReview Sponsors. Outstanding Graduate of Zhejiang University This site is running Profiles RNS version UCSF-v3.1.0-1-g3264e86e on PROFILES-PWEB03. He received his B.E. Foreshadowing, perhaps? Think of each line as a query for papers in which you would have expertise and interest. What are the current state-of-the-art solutions and why do you think you can further improve over them? Its been a challenge, particularly during the pandemic. This makes lecture extremely boring & causes people who don't get it initially to have to learn a significant portion of the course themselves (or ask questions). Outstanding Graduate of Zhejiang Province In your email, please include the following items: Text Mining, Information Extraction, and Natural Language Processing, Structured Mining in Large-Scale Text-Rich Networks, Understanding and Improving Deep Neural Networks, Interdisciplinary Applications (e.g., Biomedical, IoT, ), Title as Prospective Student: YourName - YourAffliation. Xiyuan Zhang | Home - GitHub Pages If we can build a model that accurately classifies documents, based on this small amount of signal, then we are done; we have addressed the problem nicely.. Chenwei . Please check the following items before sending me an email. From the computer science perspective, I can see many related concepts and problems: (1) parallelization, (2) hyper-parameter tuning, (3) scheduling, etc. Piazza: piazza.com/ucsd/winter2022/mgta415. The ones marked, L Liu, J Shang, X Ren, F Xu, H Gui, J Peng, J Han, Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), J Shang, J Liu, M Jiang, X Ren, CR Voss, J Han, IEEE Transactions on Knowledge and Data Engineering 30 (10), 1825-1837, Proceedings of the 20th ACM SIGKDD international conference on Knowledge, Proceedings of the 2015 ACM SIGMOD International Conference on Management of, X Wang, Y Zhang, X Ren, Y Zhang, M Zitnik, J Shang, C Langlotz, J Han, J Shang, L Liu, X Ren, X Gu, T Ren, J Han, J Shang, M Qu, J Liu, LM Kaplan, J Han, J Peng, M Qu, J Tang, J Shang, X Ren, M Zhang, J Han, Proceedings of the 2017 ACM on Conference on Information and Knowledge. He then received my B.E. Xiang Ren, Meng Jiang, Jingbo Shang and Jiawei Han. In my humble opinion, cooking, to some extent, should be easier than making complicated deep learning models effective in experiments. National Scholarship, Top 0.2% nationwide, China, Program Committee Member: ICML, NeurIPS, AAAI, Teaching: TA for CSE 151A: Introduction to Machine Learning, volunteer teacher for middle school students. from Shanghai Jiao Tong University, China. Room: https://ucsd.zoom.us/j/93540989128. When new UC San Diego Computer Science and Engineering (CSE) Assistant Professor Jingbo Shang was in fifth grade, he entered a computer programming competition in his hometown, his first foray into computer science. Piazza: piazza.com/ucsd/spring2023/cse291i00, Undergraduate Class and Graduate Class, CSE, UCSD, 2023. I received my B.E. Room: https://ucsd.zoom.us/j/93162206472. Copyright 2023 Regents of the University of California. Piazza: piazza.com/ucsd/spring2020/dsc190a00, Class Time: Mondays 11AM to 12PM. Im broadly interested in Data Mining Problems and Applications: Most of my research projects focus on (1) developing principled data-driven approaches with light human effort and (2) building effective and robust machine learning models in an efficient way. Add links to your profiles on other sites. Qualcomm Innovation Fellowship, 2022 Piazza: piazza.com/ucsd/winter2023/mgta415. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Also add any other names you have authored papers under. Room: WLH 2204 (1st week over Zoom). Jingbo Shang | UCSD Profiles UC San Diego 9500 Gilman Dr. La Jolla, CA 92093 (858) 534-2230 Jingbo Shang's profile, publications, research topics, and co-authors. For ongoing positions, leave the end field blank. Class Time: Mondays 11AM to 12PM. Assistant Professor. Jingbo Shang - Halcolu Data Science Institute - UC San Diego Piazza: TBD. The institution domain is used for conflict of interest detection and institution ranking. Jingbo Shang. Feels like an undergrad course because it's held together with 151A. All rights reserved. For more information about how we use cookies, please see our Website Terms of Use. Shang is teaching introductions to data mining and machine learning high-demand classes that may have 200 students. Lectures make no sense and everything for the homework has to be self-taught. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Piazza: piazza.com/ucsd/spring2022/cse109. Follow. 2021, 00:00 (edited 09 Sep 2021) NAACL-HLT 2021. Bio. Login, Jingbo Shang: Helping Machines and Students Outperform. OpenReview is a long-term project to advance science through improved peer review, with legal nonprofit status through Code for Science & Society. Like many recently minted computer science Ph.D.s, Shang had opportunities in industry as well as academia. The system can't perform the operation now. Room: WLH 2001. advised by Professor Rajesh Gupta and Professor Jingbo Shang. TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. To submit a bug report or feature request, you can use the official OpenReview GitHub repository:Report an issue, Shanghai Jiao Tong University, Tsinghua University. Graduate Class, Rady Management School, UCSD, 2021, Class Time: Wednesdays, 6PM to 9PM. He goes through derivations with very scarce explanation, skipping over many parts he probably views as trivial. Jingbo has 1 job listed on their profile. He obtained his Ph.D. from CS@UIUC. Dept of Computer Science and Engineering University of California, San Diego 9500 Gilman Drive La Jolla, CA 92093-0404 U.S.A. M Zitnik, J Shang, C Langlotz, J Han. I obtained my Ph.D. from UIUC advised by Prof. Jiawei Han in 2019. Piazza: piazza.com/ucsd/winter2021/mgta415, Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Briefly introduce what research problem that you are interested in. He was using Pascal, a computer language co-developed in the 1970s by former UC San Diego Professor Kenneth Bowles. Assistant Professor, UC San Diego. How do you usually write your name as author of a paper? Artificial Intelligence and Machine Learning. Jingbo Shang. Copyright The Regents of the University of California, Assistant Professor, Computer Science and Engineering, Powered by Altman Clinical and Translational Research Institute, Altman Clinical and Translational Research Institute (ACTRI). Room: PETER 104 https://ucsd.zoom.us/j/97017584161. Room: EBU3B (CSE) 2154. Room: https://ucsd.zoom.us/j/91491702947. Im an Assistant Professor at UCSD jointly appointed by Computer Science and Halcolu Data Science Institute. This class covers lots of useful and interesting topics and was a satisfying experience. Room: EBU3B (CSE) 2154. Piazza: https://piazza.com/class/kmmklfc6n0a32h. He obtained his Ph.D. from University of Illinois at Urbana Champaign (UIUC) advised by Prof. Jiawei Han in 2019. Jingbo Shang: Helping Machines and Students Outperform You can find my schedule here. Piazza: https://piazza.com/class/kmmhpnflaoj6oh. Room: https://ucsd.zoom.us/j/92762034655. Their, This "Cited by" count includes citations to the following articles in Scholar. Definitely an expert in ML, unfortunately this hurts his lectures for an intro ML course. View Jingbo Shang's profile on LinkedIn, the world's largest professional community. He received his B.E. My lab has openings for PhD students and research internship opportunities for master/undergrad students (UCSD or external). Piazza: piazza.com/ucsd/winter2023/dsc148, Graduate Class, Rady Management School, UCSD, 2023, Class Time: Wednesdays, 2PM to 4:50PM. Piazza: piazza.com/ucsd/spring2023/cse151a. Try again later. I'm an Assistant Professor at UCSD jointly appointed by Computer Science and Halcolu Data Science Institute. Please make the students use their brains (I am not asking to make the assignments longer, I feel they should be harder). I am a Ph.D. student at CSE, UC San Diego, Jingbo Shang at University of California San Diego | Rate My Professors 4 / 5 Overall Quality Based on 11 ratings Jingbo Shang Professor in the Data Science department at University of California San Diego 89% Would take again 2.9 Level of Difficulty Rate Professor Shang I'm Professor Shang Submit a Correction Professor Shang 's Top Tags Room: https://ucsd.zoom.us/j/91491702947. The Week view will present you the details of slots. Room: https://ucsd.zoom.us/j/632116245. I realized many students have solid backgrounds in math and CS, and they can quickly master everything and they need more advanced work. I'm also a coach of the UCSD's ACM-ICPC team. Open Peer Review. Piazza: piazza.com/ucsd/winter2022/dsc190a00, Graduate Class, Rady Management School, UCSD, 2022, Class Time: Wednesdays, 2PM to 4:50PM. Wonderful professor. I received my B.S. Room: https://ucsd.zoom.us/j/97017584161. Highly recommend! Cool prof. Boring assignments because they are too easy. Prof Shang was the most caring prof I've ever dealt with at UCSD. Talented and also very patient with students. Not as useful as a grad course. For example: deep learning, RNNs, dependency parsing. Decent lectures. He obtained his Ph.D. from CS@UIUC. There's no doubt he's very smart and capable, but sometimes he thinks we're just as smart as he is, lol. We significantly outperformed our peers: UCLA, USC, and Cal Caltech., Copyright Regents of the University of California. Room: https://ucsd.zoom.us/j/91491702947. See more options in the Advanced Search tab. Has an accent but not a big problem. Github Google Scholar Welcome to Jingbo's Homepage! All rights reserved. Enter your school to get started. Early work classifying news articles has performed well, but Shang and colleagues still want to extend this approach into natural language processing and other areas. I try my best to accommodate different levels, said Shang. from SJTU in 2014. I am a Ph.D. student at CSE, UC San Diego, advised by Professor Rajesh Gupta and Professor Jingbo Shang.I am interested in developing robust and efficient machine learning techniques for time-series analysis, context-aware sensing, spatiotemporal modeling, etc.My research has practical applications in various domains of our daily life, including healthcare, climate science, smart home . Enter your education and career history. Shang earned his bachelors degree in computer science at Shanghai Jiao Tong University in 2014 and his Ph.D. at the University of Illinois, Urbana-Champaign in 2019. When new UC San Diego Computer Science and Engineering (CSE) Assistant Professor Jingbo Shang was in fifth grade, he entered a computer programming competition in his hometown, his first foray into computer science. Jingbo Shang | Master of Data Science Online from SJTU in 2014. He is great in all other aspects. On top of everything, he is coaching the UC San Diego International College Programming Competition (ICPC) team, which has been thriving. Jingbo Shang | Computer Science - University of California, San Diego . Verified email at ucsd . Jingbo Shang, Xiang Ren, Meng Jiang, and Jiawei Han. degree in CS with honors from Chu Kochen Honors College, Zhejiang University. Piazza: piazza.com/ucsd/spring2023/cse109. He did internships at Google and a hedge fund called Two Sigma. CA Do Not Sell or Share My Personal Information. . Course (s) Bioinformatics 35 (10 . Class Time: Wednesdays, 11 to 11:50 AM Pacific Time. For each line, enter comma-separated keyphrases representing an intersection of your interests. All rights reserved. Later that year, he join the faculty at UC San Diego, with a joint appointment at CSE and the Halcolu Data Science Institute (HDSI). On the other hand, there are students whose foundations are not as solid, and they really need some hand-holding, especially for their first homework.. This website design is based on the template from Martin Saveski. I'd like to look up a professor by name. Piazza: piazza.com/ucsd/fall2020/cse291a00, Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. How can we teach them with the least amount of effort? Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. The following articles are merged in Scholar. Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han. He's a pretty new professor, and there were definitely some hiccups along the way. This year we dominated the Southern California Regional Competition, he said. Jingbo Shang | OpenReview Teaching - Jingbo Shang Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. My research has practical applications in various domains of our daily life, including healthcare, climate science, smart home, smart city, e-commerce, and beyond. PO Box 16122 Collins Street West Victoria, Australia, Phone: + (066) 0760 0260 / + (057) 0760 0560. Jingbo Shang is an Assistant Professor in CSE and HDSI at UC San Diego. Jingbo Shang's profile, publications, research topics, and co-authors . He is broadly interested in data mining, natural language processing, and machine learning. Horrible professor who did not make this class approachable for student not familiar with machine learning even though this was supposed to be an intro class. Room: https://ucsd.zoom.us/j/99067937524. Class Time: Mondays, 12PM to 1PM. We also use cookies to analyze our sites performance and improve your experience on our site. Research Interests Briefly introduce yourself, including education background, research experiences, and programming skills. His research about mining and constructing structured knowledge from massive text corpora with minimum human effort has been recognized by many prestigious awards, including the Grand Prize of Yelp Dataset Challenge in 2015 and Google Ph.D. Fellowship in Structured Data and Database Management in 2017. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. But Shang wants to go a step beyond that into extremely weak supervision, classifying data based on topic, such as sports or politics, or geographic location. I received my B.E. Jingbo Shang - Research Assistant - University of Illinois - LinkedIn Concepts, equations and their derivations feel rushed through and not thoroughly explained, as if it came naturally to him and thus it should come naturally to us too. Class Time: Tuesdays and Thursdays, 8AM to 9:20AM. Class Time: Wednesdays, 1 to 1:50 PM Pacific Time. Im mainly working on data, mining, natural language processing and machine learning, said Shang. Altman Clinical and Translational Research Institute (ACTRI). During his office hour, he explained our questions very carefully until everyone understands, and stayed with us until very late. Im also a coach of the UCSDs ACM-ICPC team. Give us a call or drop by anytime, we endeavor to answer all inquiries within 24 hours. I obtained my Ph.D. from UIUC advised by Prof. Jiawei Han in 2019. Assistant Professor Jingbo Shang is an Assistant Professor in CSE and HDSI at UC San Diego. Room: OTRSN 1E107 (1st week over Zoom). Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Overall 10/10 prof would take again. Teaches machine learning reasonably well, he cares about students. CSE 4104 / SDSC 211E; University of California, San Diego; Email; Github; Google Scholar; Teaching. Although Shang is smart, I can already tell that his lectures are not it. Piazza: piazza.com/ucsd/fall2020/dsc180a05. USC Associate Professor on AI/NLP Los Angeles, CA. Learned much in this course. He truly cares about the students best interests and he knows that he can trust the students. Responsible and patient. Distinguished Undergraduate Dissertation Award, Zhejiang University Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest. If you like it, dont forget to subscribe it! KDD 2017. Welcome to Jingbo's Homepage! - Jingbo Shang Room: https://ucsd.zoom.us/j/95861287987. Piazza: piazza.com/ucsd/winter2020/cse191cap, 2023-Spring-CSE291-DSC253-Advanced Data-Driven Text Mining, 2023-Spring-CSE151A-Introduction to Machine Learning and CSE 251A-ML: Learning Algorithms, 2023-Spring-CSE109-Introduction to Programming Contests, 2023-Winter-DSC148-Introduction to Data Mining, 2023-Winter-MGTA415-Analyzing Unstructured Data, 2022-Fall-DSC180B14-Capstone: Weakly Supervised NLP, 2022-Spring-CSE151A-Introduction to Machine Learning, 2022-Spring-CSE109-Introduction to Programming Contests, 2022-Winter-DSC190-Introduction to Data Mining, 2022-Winter-MGTA415-Analyzing Unstructured Data, 2021-Fall-DSC180A02-Capstone: Text Mining and NLP, 2021-Spring-CSE151A-Introduction to Machine Learning, 2021-Spring-CSE191-Introduction to Programming Contests, 2021-Winter-MGTA415-Working with Unstructured Data, 2021-Winter-DSC190-Introduction to Data Mining, 2021-Winter-DSC180A05-Capstone: Text Mining and NLP, 2020-Fall-DSC180A05-Capstone: Text Mining and NLP, 2020-Fall-CSE291-Advanced Data-Driven Text Mining, 2020-Spring-DSC190-Introduction to Data Mining, 2020-Winter-CSE191-Introduction to Competitive Algorithmic Programming, Scientific Text Mining and Knowledge Graphs, Constructing and Mining Heterogeneous Information Networks from Massive Text, TextCube: Automated Construction and Multidimensional Exploration, Towards Multidimensional Analysis of Text Corpora, Mining Entity-Relation-Attribute Structures from Massive Text Data, Building Structured Databases of Factual Knowledge from Massive Text Corpora, Constructing Structured Information Networks from Massive Text Corpora.

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