I received my B.E. 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. For ongoing positions, leave the end field blank. Enter your school to get started. Graduate Class, Rady Management School, UCSD, 2021, Class Time: Wednesdays, 6PM to 9PM. Lectures are clear and he provides further topics/research papers to explore on our own. Halcolu Data Science Institute (HDSI). For each line, enter comma-separated keyphrases representing an intersection of your interests. Piazza: https://piazza.com/class/kmmklfc6n0a32h. 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 Piazza: piazza.com/ucsd/winter2021/mgta415, Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. 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. Later that year, he join the faculty at UC San Diego, with a joint appointment at CSE and the Halcolu Data Science Institute (HDSI). Has an accent but not a big problem. Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest. I'm an Assistant Professor at UCSD jointly appointed by Computer Science and Halcolu Data Science Institute. Shang and colleagues want to see if they can use existing data to make the process less cumbersome. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. We gratefully acknowledge the support of the OpenReview Sponsors. Piazza: piazza.com/ucsd/spring2023/cse291i00, Undergraduate Class and Graduate Class, CSE, UCSD, 2023. Since my cooking secrets are mostly about Chinese food, so the videos are in Chinese. Foreshadowing, perhaps? 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. Its been a challenge, particularly during the pandemic. There's basically no supervision at all, said Shang. My lab has openings for PhD students and research internship opportunities for master/undergrad students (UCSD or external). This information is crucial for deduplicating users, and ensuring you see your reviewing assignments. Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han. Qualcomm Innovation Fellowship, 2022 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. Give us a call or drop by anytime, we endeavor to answer all inquiries within 24 hours. M Zitnik, J Shang, C Langlotz, J Han. Jingbo Shang, Xiang Ren, Meng Jiang, and Jiawei Han. Research Interests See more options in the Advanced Search tab. He goes through derivations with very scarce explanation, skipping over many parts he probably views as trivial. Room: PETER 104 https://ucsd.zoom.us/j/97017584161. USC Associate Professor on AI/NLP Los Angeles, CA. Like many recently minted computer science Ph.D.s, Shang had opportunities in industry as well as academia. Piazza: https://piazza.com/class/kmmhpnflaoj6oh. He obtained his Ph.D. from CS@UIUC. He obtained his Ph.D. from CS@UIUC. Class Time: Mondays 11AM to 12PM. Im actively recruiting students who are excited about doing fun research. Artificial Intelligence and Machine Learning. Piazza: piazza.com/ucsd/winter2022/dsc190a00, Graduate Class, Rady Management School, UCSD, 2022, Class Time: Wednesdays, 2PM to 4:50PM. (Optional). KDD 2017. I obtained my Ph.D. from UIUC advised by Prof. Jiawei Han in 2019. I'd like to look up a professor by name. OpenReview is a long-term project to advance science through improved peer review, with legal nonprofit status through Code for Science & Society. 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 Room: OTRSN 1E107 (1st week over Zoom). Open Peer Review. Easy homework. All rights reserved. advised by Professor Rajesh Gupta and Professor Jingbo Shang. Piazza: piazza.com/ucsd/spring2023/cse109. Jingbo Shang. Im also a coach of the UCSDs ACM-ICPC team. My research focuses on ways to reduce human effort in this model building process, said Shang. Although Shang is smart, I can already tell that his lectures are not it. Piazza: piazza.com/ucsd/winter2023/dsc148, Graduate Class, Rady Management School, UCSD, 2023, Class Time: Wednesdays, 2PM to 4:50PM. We work on this massive amount of raw data, text data from news articles, social media posts, financial reports, scientific papers. Class Time: Tuesdays and Thursdays, 8AM to 9:20AM. We sent seven teams and one team got first place and another got third place. Jingbo Shang's profile, publications, research topics, and co-authors. Class Time: Mondays, 12PM to 1PM. In my humble opinion, cooking, to some extent, should be easier than making complicated deep learning models effective in experiments. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Room: https://ucsd.zoom.us/j/91491702947. I obtained my Ph.D. from UIUC advised by Prof. Jiawei Han in 2019. What are the current state-of-the-art solutions and why do you think you can further improve over them? Cool prof. Boring assignments because they are too easy. View Jingbo Shang's profile on LinkedIn, the world's largest professional community. Room: https://ucsd.zoom.us/j/91491702947. Open Publishing. Room: https://ucsd.zoom.us/j/632116245. Piazza: piazza.com/ucsd/fall2020/cse291a00, Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. The system can't perform the operation now. What's the limit of those machine learning or AI models? Room: WLH 2204 (1st week over Zoom). Throughout my 5-year PhD study at UIUC, I have summarized some tricks to prepare two delicious entrees in 30 mins. Enter your education and career history. Very efficient teaching style and lecture slides are clear as well. I'm also a coach of the UCSD's ACM-ICPC team. 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. Enter your feedback below and we'll get back to you as soon as possible. These and others made significant offers, but he opted for UC San Diego. He is great in all other aspects. Solutions to past hw and practice midterms are never posted, making it even harder to learn. CSE 4104 / SDSC 211E; University of California, San Diego; Email; Github; Google Scholar; Teaching. Definitely an expert in ML, unfortunately this hurts his lectures for an intro ML course. Highly recommend! CA Do Not Sell or Share My Personal Information. Github Google Scholar Welcome to Jingbo's Homepage! Try again later. TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. Chenwei . Piazza: piazza.com/ucsd/winter2022/mgta415. How do you usually write your name as author of a paper? Lectures make no sense and everything for the homework has to be self-taught. Please make the students use their brains (I am not asking to make the assignments longer, I feel they should be harder). Login, Jingbo Shang: Helping Machines and Students Outperform. Room: EBU3B (CSE) 2154. Responsible and patient. . For example, can we borrow existing signals from a knowledge base, such as Wikipedia, and generate annotation from this input?. 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.. The following articles are merged in Scholar. He truly cares about the students best interests and he knows that he can trust the students. Xiang Ren, Meng Jiang, Jingbo Shang and Jiawei Han. Not as useful as a grad course. from SJTU in 2014. 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. I try my best to accommodate different levels, said Shang. Class Time: Tuesdays and Thursdays, 9:30AM to 10:50AM. Their, This "Cited by" count includes citations to the following articles in Scholar. 2021, 00:00 (edited 09 Sep 2021) NAACL-HLT 2021. Jingbo Shang is an Assistant Professor in CSE and HDSI at UC San Diego. Piazza: piazza.com/ucsd/winter2023/mgta415. I am interested in developing robust and efficient machine learning techniques for time-series analysis, context-aware sensing, spatiotemporal modeling, etc. This site is running Profiles RNS version UCSF-v3.1.0-1-g3264e86e on PROFILES-PWEB03. Room: https://ucsd.zoom.us/j/93540989128. Outstanding Graduate of Zhejiang Province 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. Building Structured Databases of Factual Knowledge from Massive Text Corpora. Outstanding Graduate of Zhejiang University Room: https://ucsd.zoom.us/j/99067937524. Shang is teaching introductions to data mining and machine learning high-demand classes that may have 200 students. degree in CS with honors from Chu Kochen Honors College, Zhejiang University. For example: deep learning, RNNs, dependency parsing. Verified email at ucsd . I realized many students have solid backgrounds in math and CS, and they can quickly master everything and they need more advanced work. Room: https://ucsd.zoom.us/j/92762034655. He obtained his Ph.D. from University of Illinois at Urbana Champaign (UIUC) advised by Prof. Jiawei Han in 2019. Class Time: Wednesdays, 1 to 1:50 PM Pacific Time. He was using Pascal, a computer language co-developed in the 1970s by former UC San Diego Professor Kenneth Bowles.