ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. "Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework",The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. . Precision agriculture and farm management, Development of open-source software, libraries, annotation tools, or benchmark datasets, Bias/equity in algorithmic decision-making, AI for ITS time-series and spatio-temporal data analyses, AI for the applications of transportation, Applications and techniques in image recognition based on AI techniques for ITS, Applications and techniques in autonomous cars and ships based on AI techniques. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. The workshop is being organized by application area or other, panels, invited speakers, interactive, small groups, discussions, presentations. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. This topic also encompasses techniques that augment or alter the network as the network is trained. We allow both short (2-4 pages) and long papers (6-8 pages) papers. This workshop brings together researchers from diverse backgrounds with different perspectives to discuss languages, formalisms and representations that are appropriate for combining learning and reasoning. Deadlines are shown in America/Los_Angeles time. This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. Novel methods to learn from scarce/sparse, or heterogenous, or multimodal data. Yuanqi du, George Mason University, USA; Jian Pei, Simon Fraser University, Canada; Charu Aggarwal, IBM Research AI, USA; Philip S. Yu, University of Illinois at Chicago, USA; Xuemin Lin, University of New South Wales, Australia; Jiebo Luo, University of Rochester, USA; Lingfei Wu, JD.Com Silicon Valley Research Center, USA; Yinglong Xia, Facebook AI, USA; Jiliang Tang, Michigan State University, USA; Peng Cui, Tsinghua University, China; William L. Hamilton, McGill University, Canada; Thomas Kipf, University of Amsterdam, Netherlands, Workshop URL:https://deep-learning-graphs.bitbucket.io/dlg-aaai22/. IEEE, 2014. The design and implementation of these AI techniques to meet financial business operations require a joint effort between academia researchers and industry practitioners. Participants will be given access to publicly available datasets and will be asked to use tools from AI and ML to generate insight from the data. InProceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2013), demo track, pp. Xiaojie Guo and Liang Zhao. This AAAI workshop aims to bring together researchers from core AI/ML, robotics, sensing, cyber physical systems, agriculture engineering, plant sciences, genetics, and bioinformatics communities to facilitate the increasingly synergistic intersection of AI/ML with agriculture and food systems. In addition, authors can provide an optional one page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. At the AAAI-22 Workshop on Scientific Document Understanding (SDU@AAAI-22), we aim to gather insights into the recent advances and remaining challenges on scientific document understanding. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. iCal Outlook robotics We invite thought-provoking submissions and talks on a range of topics in these fields. Identification of key challenges and opportunities for future research. In this workshop, we want to explore ways to bridge short-term with long-term issues, idealistic with pragmatic solutions, operational with policy issues, and industry with academia, to build, evaluate, deploy, operate and maintain AI-based systems that are demonstrably safe. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. We are in a conversation with some publishers once they confirm, we will announce accordingly. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. We will also have a video component for remote participation. Objectives of ADAM include outlining the main research challenges in this area, cross-pollinating collaborations between AI researchers and domain experts in engineering design and manufacturing, and sketching open problems of common interest. It does not store any personal data. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. Can AI achieve the same goal without much low-level supervision? arXiv preprint arXiv:2302.02093 (2023). Yevgeniy Vorobeychik (Washington University in St. Louis), Bruno Sinopoli (Washington University in St. Louis), Jinghan Yang (Washington University in St. Louis), Bo Li (UIUC), Atul Prakash (University of Michigan), Supplemental Workshop site:https://jinghany.github.io/trase2022/. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. How can we engineer trustable AI software architectures? It is one of the key bottlenecks for financial services companies to improve their operating productivity. to protect data owner privacy in FL. Accepted submissions will be notified latest by August 7th, 2022. These lead to security considerations: (1) securing personal health information, genetic material, intellectual property, and digital health records, (2) balancing privacy rights and data ownership concerns in solutions using network and mobile data, (3) defending AI for biology use cases to deter automated attacks at scale. An increasing world population, coupled with finite arable land, changing diets, and the growing expense of agricultural inputs, is poised to stretch our agricultural systems to their limits. Document structure and layout learning and recognition. in Proceedings of the 24st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), research track (acceptance rate: 18.4%), London, United Kingdom, Aug 2018, accepted. New theory and fundamentals of AI-aided design and manufacturing. By the end of this century, the earths population is projected to increase by 45% with available arable land decreasing by 20% coupled with changes in what crops these arable lands can best support; this creates the urgent need to enhance agricultural productivity by 70% before 2050. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. While classical security vulnerabilities are relevant, ML techniques have additional weaknesses, some already known (e.g., sensitivity to training data manipulation), and some yet to be discovered. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. DI@KDD2022 Call for Papers Organization Program Keynote Talk Accepted Papers Call for Papers Document Intelligence Workshop @ KDD 2022 UPDATES August 6: Final versions of the papersare posted! We invite submissions to the AAAI-22 workshop on Graphs and more Complex structures for Learning and Reasoning to be held virtually on February 28 or March 1, 2022. These cookies track visitors across websites and collect information to provide customized ads. MLG 2022 - 17th International Workshop on Mining and Learning with Graphs Hierarchical Incomplete Multisource Feature Learning for Spatiotemporal Event Forecasting. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), research track (acceptance rate: 18.2%), San Francisco, California, pp. Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. Detailed information could be found on the website of the workshop. 205-214, San Francisco, California, Aug 2016. The topics of interest include, but are not limited to: The papers will be presented in poster format and some will be selected for oral presentation. Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. The 11th International Conference on Learning Representations (ICLR 2023), accepted. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. It further combines academia and industry in a quest for well-founded practical solutions. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. ETA (expected time-of-arrival) prediction. Welcome to DLG-KDD'22! - Bitbucket AD Conference Deadlines The cookie is used to store the user consent for the cookies in the category "Analytics". Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. Moreover, to tackle and overcome several issues in personalized healthcare, information technology will need to evolve to improve communication, collaboration, and teamwork among patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao. Papers will be submitted to OpenReview system: Waiting for approval,https://openreview.net/forum?id=6uMNTvU-akO, Workshop Chair:Parisa Kordjamshidi, +1-2174187004, kordjams@msu.edu, Organizing Committee:Parisa Kordjamshidi (Michigan State University, kordjams@msu.edu), Behrouz Babaki (Mila/HEC Montreal, behrouz.babaki@mila.quebec), Sebastijan Dumani (KU Leuven, sebastijan.dumancic@cs.kuleuven.be), Alex Ratner (University of Washington, ajratner@cs.washington.edu), Hossein Rajaby Faghihi (Michigan State University, rajabyfa@msu.edu), Hamid Karimian (Michigan State University, karimian@msu.edu), Organizing Committee:Dan Roth (University of Pennsylvania, danroth@seas.upenn.edu) and Guy Van Den Broeck (University of California Los Angeles, guyvdb@cs.ucla.edu), Supplemental workshop site:https://clear-workshop.github.io. Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu. We also welcome submissions that are currently under consideration in such archival venues. This workshop seeks to explore new ideas on AI safety with particular focus on addressing the following questions: Contributions are sought in (but are not limited to) the following topics: To deliver a truly memorable event, we will follow a highly interactive format that will include invited talks and thematic sessions. 2020. The post-lunch session will feature a second keynote talk, two invited talks. Roco Mercado, Massachusetts Institute of Technology. IBM Research, 2018. Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. Information-theoretic approaches provide a novel set of tools that can expand the scope of classical approaches to causal inference and discovery problems in a variety of applications. We will accept the extended abstracts of the relevant and recently published work too. KDD 2022 KDD . Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad. Novel AI-enabled generative models for system design and manufacturing. Despite gratifying achievements that have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. However, we will also accept anonymous submissions. Jan 13, 2022: Notification. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. Attendance is open to all registered participants. Virtual . CoRL 2023 97 days 17h 29m 15s November 06-09, 2023. These research trends inform the need to explore the intersection of AI with behavioral science and causal inference, and how they can come together for applications in the social and health sciences. 4 (2014): 185-195. with other vehicles via vehicular communication systems (e.g., dedicated short range communication (DSRC), vehicular ad hoc networks (VANETs), long term evolution (LTE), and 5G/6G mobile networks) for cooperation. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. We welcome submissions of long (max. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. We invite novel contributions following the AAAI-22 formatting guidelines, camera-ready style. SIAM International Conference on Data Mining (SDM 2022), (Acceptance Rate: 26%), accepted. "Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data" The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017) , (acceptance rate: 21%), pp. Each oral presentation will be allocated between 10-15 minutes, while the spotlight presentation will be 2 minute each.