kdd 2022 deadline

in Proceedings of the IEEE International Conference on Data Mining (ICDM 2016), regular paper, (acceptance rate: 8.5%), pp. 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. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Multilingual document understanding methods and frameworks. Can AI achieve the same goal without much low-level supervision? By entering your email, you consent to receive communications from UdeM. Ranking, acceptance rate, deadline, and publication tips. Accepted submissions will be notified latest by August 7th, 2022. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Deep Graph Learning for Circuit Deobfuscation. However, ML systems may be non-deterministic; they may re-use high-quality implementations of ML algorithms; and, the semantics of models they produce may be incomprehensible. applications: ridesharing, online retail, food delivery, house rental, real estate, and more. Table identification and extraction from business documents. The third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22) builds on the success of previous years PPAI-20 and PPAI-21 to provide a platform for researchers, AI practitioners, and policymakers to discuss technical and societal issues and present solutions related to privacy in AI applications. This has created a strong demand for transcript understanding. 7, no. 3, pp. Registration Opens: Feb 02 '22 02:00 PM UTC: Registration Cancellation Refund Deadline: Apr 18 '22(Anywhere on Earth) Paper Submissions Abstract Submission Deadline: Sep 29 '21 12:00 AM UTC: Paper Submission deadline: Oct 06 '21 12:00 AM . This workshop aims to explore and advance the current state of research and practice, including but not limited to the following topics: In addition to the invited talks and the panel discussion on topics related to Document Intelligence, the workshop program will include paper sessions which provides an opportunity to present peer-reviewed work on the topic related to Document Intelligence. To adapt SSL frameworks to build effective human-centric deep learning solutions for human-centric data, a number of key challenges and opportunities need to be explored. The last few years have seen the rapid development of mathematical methods for modeling structured data coming from biology, chemistry, network science, natural language processing, and computer vision applications. These choices can only be analyzed holistically if the technological and ethical perspectives are integrated into the engineering problem, while considering both the theoretical and practical challenges of AI safety. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. The workshop will be co-located with the KDD 2022 conference at Washington DC Convention Center,Washington D.C., USA onAugust 17th, 2022 at1PM5PM (Eastern Standard Time). Novel algorithmic solutions to causal inference or discovery problems using information-theoretic tools or assumptions. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. Submit to:https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, Yinpeng Dong (dyp17@mails.tsinghua.edu.cn, 30 Shuangqing Road, Haidian District, Tsinghua University, Beijing, China, 100084, Phone: +86 18603303421), Yinpeng Dong (Tsinghua University, dyp17@mail.tsinghua.edu.cn), Tianyu Pang (Tsinghua University, pty17@mails.tsinghua.edu.cn), Xiao Yang (Tsinghua University, yangxiao19@mails.tsinghua.edu.cn), Eric Wong (MIT, wongeric@mit.edu), Zico Kolter (CMU, zkolter@cs.cmu.edu), Yuan He (Alibaba, heyuan.hy@alibaba-inc.com ). Graph Neural Networks: Foundations, Frontiers, and Applications. convolutional neural network (CNN), recurrent neural network (RNN), etc.) Full papers: Submissions must represent original material that has not appeared elsewhere for publication and that is not under review for another refereed publication. How to do good research, Get it published in SIGKDD and get it cited! Winter. anomaly detection, and ensemble learning. The biomedical space has seen a flurry of activity recently, and cyber criminals have amplified their efforts with health-related phishing attacks, spreading misinformation, and intruding into health infrastructure. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. Attendance is open to all; at least one author of each accepted paper must be virtually present at the workshop. arXiv preprint arXiv:2212.03954 (2022). Papers that introduce new theoretical concepts or methods, help to develop a better understanding of new emerging concepts through extensive experiments, or demonstrate a novel application of these methods to a domain are encouraged. However, despite increasing interest from various subfields, AI/ML techniques are yet to fulfill their full promise in achieving these advances. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.255), accepted. [code] We hope this will help bring the communities of data mining and visualization more closely connected. text, images, and videos). Online. Despite the great success of deep neural networks (DNNs) in many artificial intelligence (AI) tasks, they still suffer from limitations, such as poor generalization behavior for out-of-distribution (OOD) data, vulnerability to adversarial examples, and the black-box nature of DNNs. "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. I recommend highly motivated students to reach out to me way earlier than the admission deadline, and figure out a research project project with me, with the goal of a publication. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. The academic session will focus on most recent research developments on GNNs in various application domains. [slides] Knowledge representation for business documents. These approaches make it possible to use a tremendous amount of unlabeled data available on the web to train large networks and solve complicated tasks. What safety engineering considerations are required to develop safe human-machine interaction? 105, no. July 22: The workshop Programis up! Please email to Lingfei Wu: lwu@email.wm.edu for any query. 2022. Yanfang Ye, Yiming Zhang, Yujie Fan, Chuan Shi and Liang Zhao. AI is now shaping the way businesses, governments, and educational institutions do things and is making its way into classrooms, schools and districts across many countries. If the admission deadline for international applicants is past, we suggest that you choose another session to begin your studies. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. For example, AI tools are built to ease the workload for teachers. Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. How to Write and Publish Research Papers for the Premier Forums in Knowledge & Data Engineering: This 1-day workshop will include a mixture of invited speakers, panels (including discussion with the audience), and presentations from authors of accepted submissions. KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. Liang Zhao, Feng Chen, and Yanfang Ye. 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. The desired LENGTH of the workshop: Full-day (~8 hours). Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. Papers more suited for a poster, rather than a presentation, would be invited for a poster session. AAAI-22 Workshop Program - AAAI Workshop Date: Sunday August 14, 2022 EDT. 1503-1512, Aug 2015. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. 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/. [Call for papers] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, CFP: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems Workshop, Second Workshop on Marketplace Innovation. Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. ML4OR is a one-day workshop consisting of a mix of events: multiple invited talks by recognized speakers from both OR and ML covering central theoretical, algorithmic, and practical challenges at this intersection; a number of technical sessions where researchers briefly present their accepted papers; a virtual poster session for accepted papers and abstracts; a panel discussion with speakers from academia and industry focusing on the state of the field and promising avenues for future research; an educational session on best practices for incorporating ML in advanced OR courses including open software and data, learning outcomes, etc. Attendance is open to all. Deep Geometric Neural Networks for Spatial Interpolation. Saliency-Augmented Memory Completion for Continual Learning. In addition, several invited speakers with distinguished professional background will give talks related the frontier topics of GNN. Sign-regularized multi-task learning. A primary reason for this is the inherent long-tailed nature of our world, and the need for algorithms to be trained with large amounts of data that includes as many rare events as possible. If these formalities are not completed in time, you will have to file a new application at a later date. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao. Online marketplace is a digital platform that connects buyers (demand) and sellers (supply) and provides exposure opportunities that individual participants would not otherwise have access to. In this 2nd instance of GCLR (Graphs and more Complex structures for Learning and Reasoning) workshop, we will focus on various complex structures along with inference and learning algorithms for these structures. However, workshop organizers may set up any archived publication mechanism that best suits their workshop. 76, pp. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. Accepted submissions will be notified latest by August 7th, 2022. for causal estimation in behavioral science. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Although textual data is prevalent in a large amount of finance-related business problems, we also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc. SDU will be a one-day workshop. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. Adaptive Kernel Graph Neural Network. Creative Commons Attribution-Share Alike 3.0 License, 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, Knowledge Discovery and Data Mining Conference, 22nd ACM SIGKDD international conference on knowledge discovery and data mining, 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 18th ACM SIGKDD Knowledge Discovery and Data Mining, The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Robust Regression via Online Feature Selection under Adversarial Data Corruption. AI Conference Deadlines - Hyunwoo Kim 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. Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, Bill Wuest, Amarda Shehu, Liang Zhao. "A Topic-focused Trust Model for Twitter." Previously published work (or under-review) is acceptable. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to their complex formats and structures, internal and external cross references deployed, quality of scans and OCR performed, and many domains of knowledge involved. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. Nowadays, machine learning solutions are widely deployed. We consider submissions that havent been published in any peer-reviewed venue (except those under review). 4 pages) papers describing research at the intersection of AI and science/engineering domains including chemistry, physics, power systems, materials, catalysis, health sciences, computing systems design and optimization, epidemiology, agriculture, transportation, earth and environmental sciences, genomics and bioinformatics, civil and mechanical engineering etc. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Social Media based Simulation Models for Understanding Disease Dynamics. However, the performance and efficiency of these techniques are big challenges for performing real-time applications. Data-driven Humanitarian Mapping and Policymaking Research AI Conference Deadlines Theoretical understanding of adversarial ML and its connection to other areas. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. Note: The workshop is a collaboration between NASSMA organisation, Deepmind and UM6P. Government day with NSF, NIH, DARPA, NIST, and IARPA, Local industries in the DC Metro Area, including the Amazons second headquarter, New initiatives at KDD 2022: undergraduate research and poster session, Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel, Workshops and hands-on tutorials on emerging topics. 27, 2022: Please check out Speical Days at, Apr. Kaiqun Fu, Taoran Ji, Liang Zhao, and Chang-Tien Lu. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. a concise checklist by Prof. Eamonn Keogh (UC Riverside). Qiang Yang, Hong Kong University of Science and Technology/ WeBank, China, (qyang@cse.ust.hk ), Sin G. Teo, Institute for Infocomm Research, Singapore (teosg@i2r.a-star.edu.sg), Han Yu, Nanyang Technological University, Singapore (han.yu@ntu.edu.sg), Lixin Fan, WeBank, China (lixinfan@webank.com), Chao Jin, Institute for Infocomm Research, Singapore (jin_chao@i2r.a-star.edu.sg), Le Zhang, University of Electronic Science and Technology of China (zhangleuestc@gmail.com), Yang Liu, Tsinghua University, China (liuy03@air.tsinghua.edu.cn), Zengxiang Li, Digital Research Institute, ENN Group, China (lizengxiang@enn.cn), Workshop site:http://federated-learning.org/fl-aaai-2022/. Submission at:https://easychair.org/my/conference?conf=edsmls2022. a tutorial on how to structure data mining papers by Prof. Xindong Wu (University of Louisiana at Lafayette). Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. At least one author of each accepted submission must present the paper at the workshop. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. These abrupt changes impacted the environmental assumptions used by AI/ML systems and their corresponding input data patterns. "Online and Distributed Robust Regressions under Adversarial Data Corruption", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. The theme of the hack-a-thon will be decided before submission is closed and will be focused around finding creative solutions to novel problems in health. In light of these issues, and the ever-increasing pervasiveness of AI in the real world, we seek to provide a focused venue for academic and industry researchers and practitioners to discuss research challenges and solutions associated with building AI systems under data scarcity and/or bias. Interpretable Molecular Graph Generation via Monotonic Constraints. Each paper will be reviewed by three reviewers in double-blind. No supplement is allowed for extended abstracts. December, 12-16, 2022. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . Document structure and layout learning and recognition. For questions on submission and the workshop, please send email through the following link: Track 1: Tony Qin (Lyft), Rui Song (NC State & Amazon), Hongtu Zhu (UNC), Michael Jordan (Berkeley), Track 2: Liangjie Hong (LinkedIn), Mohammed Korayem (CareerBuilder), Haiyan Luo (Indeed). Everyone in the Top-10 leaderboard submissions will have a guaranteed opportunity for an in-person oral/poster presentation. Submission link:https://easychair.org/cfp/raisa-2022, William Streilein, MIT Lincoln Laboratory, 244 Wood St., Lexington, MA, 02420, (781) 981-7200, wws@ll.mit.edu, Olivia Brown (MIT Lincoln Laboratory, Olivia.Brown@ll.mit.edu), Rajmonda Caceres (MIT Lincoln Laboratory, Rajmonda.Caceres@ll.mit.edu), Tina Eliassi-Rad (Northeastern University, teliassirad@northeastern.edu), David Martinez (MIT Lincoln Laboratory, dmartinez@ll.mit.edu), Sanjeev Mohindra (MIT Lincoln Laboratory, smohindra@ll.mit.edu), Elham Tabassi (National Institute of Standards and Technology, elham.tabassi@nist.gov), Workshop URL:https://sites.google.com/view/raisa-2022/. Abstracts of the following flavors will be sought: (1) research ideas, (2) case studies (or deployed projects), (3) review papers, (4) best practice papers, and (5) lessons learned. "Online Spatial Event Forecasting in Microblogs. Second, psychological experiments in laboratories and in the field, in partnership with technology companies (e.g., using apps), to measure behavioral outcomes are being increasingly used for informing intervention design. Submissions are due by 12 November 2021. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. KDD 2022. 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. SIGMOD 2022 adheres to the ACM Policy Against Harassment. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. 2022. These submissions would benefit from additional exposure and discussion that can shape a better future publication. 1, Sec. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Paper Submission Deadline: 23:59 on Thursday. Neil T. Heffernan, Worcester Polytechnic Institute (Worcester, MA, USA), Andrew S. Lan, University of Massachusetts Amherst (Amherst, MA, USA), Anna N. Rafferty, Carleton College (Northfield, MN, USA), Adish Singla, Max Planck Institute for Software Systems (Saarbrucken, Germany). Continuous refinement of AI models using active/online learning. In addition, any other work on dialog research is welcome to the general technical track. Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, and Chang-TIen Lu. Interpreting and Evaluating Neural Network Robustness. Recent years have witnessed growing efforts from the AI research community devoted to advancing our education and promising results have been obtained in solving various critical problems in education. The positive/negative social impacts and ethical issues related to adversarial ML. Proposals of technical talk (up to one-page abstract including short Bio of the main speaker). DOI:https://doi.org/10.1145/3339823. The final schedule will be available in November. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. ACM, 2013. We will accept both original papers up to 8 pages in length (including references) as well as position papers and papers covering work in progress up to 4 pages in length (not including references).Submission will be through Easychair at the AAAI-22 Workshop AI4DO submission site, Professor Bistra Dilkina (dilkina@usc.edu), USC and Dr. Segev Wasserkrug, (segevw@il.ibm.com), IBM Research, Prof. Andrea Lodi (andrea.lodi@cornell.edu), Jacobs Technion-Cornell Institute IIT and Dr. Dharmashankar Subrmanian (dharmash@us.ibm.com), IBM Research. Zheng Zhang and Liang Zhao. Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. 32, no. KDD 2022 KDD . 2020. Knowledge and Information Systems (KAIS), (impact factor: 2.936), accepted. Computer Communications, (impact factor: 3.34), Elsevier, vo. References will not count towards the page limit. This cookie is set by GDPR Cookie Consent plugin. ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. The trustworthy issues of clinical AI methods were not discussed. This cookie is set by GDPR Cookie Consent plugin. Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints. Outcomes include outlining the main research challenges in this area, potential future directions, and cross-pollination between AI researchers and domain experts in agriculture and food systems.