Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. KDD 2022 Liming Zhang, Liang Zhao, Dieter Pfoser, Shan Qin and Chen Ling. 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). Deep Geometric Neural Networks for Spatial Interpolation. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities. Data mining systems and platforms, and their efficiency, scalability, security and privacy. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. These datasets can be leveraged to learn individuals behavioral patterns, identify individuals at risk of making sub-optimal or harmful choices, and target them with behavioral interventions to prevent harm or improve well-being. Submissions will go through a double-blind review process. Registration information will be mailed directly to all invited participants in December. Accepted papers will be published in the workshop proceedings. We hope to build upon that success. Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. Countdowns to conference deadlines in the field of autonomous driving. Please use ACM Conference templates (two column format). All papers must be submitted in PDF format, using the AAAI-22 author kit. What approaches emerge in building fundamentally robust and adaptive AI/ML systems? Shi, Y., Deng, M., Yang, X., Liu, Q., Zhao, L., & Lu, C. T. "A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter." The growing popularity of NAS methods demonstrates the communitys hunger for better ways of choosing or evolving network architectures that are well-matched to the problem at hand. All submissions will be peer-reviewed. DeepGAR: Deep Graph Learning for Analogical Reasoning. Full papers: Submissions must represent original material that has not appeared elsewhere for publication and that is not under review for another refereed publication. In addition, authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file) focused on reproducibility. considered to be more practical and more related with real-world applications. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. California, United Stes. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Some specific topics in the context of scientific discovery and engineering design include (but not limited to): This will be a one day workshop with a number of paper presentations and poster spotlights, a poster session, several invited talks, and a panel discussion. 2022. Three categories of contributions are sought: full-research papers up to 8 pages; short papers up to 4 pages; and posters and demos up to 2 pages. ), Graduate (master's, specialized graduate diploma (DESS), etc. Additional information about formatting and style files is available here: : Full papers are limited to a total of 6 pages, including all content and references. The academic session will focus on most recent research developments on GNNs in various application domains. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. 2022. Online. Online Flu Epidemiological Deep Modeling on A new and comprehensive view of AI Safety must cover a wide range of AI paradigms, including systems that are application-specific as well as those that are more general, considering potentially unanticipated risks. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. We welcome full research papers, position papers, and extended abstracts. Visualization is an integral part of data science, and essential to enable sophisticated analysis of data. Knowledge and Information Systems (KAIS), (Impact Factor: 2.531), to appear, 2022. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. 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. Adverse event detection by integrating Twitter data and VAERS. Papers will be peer-reviewed and selected for spotlight and/or poster presentation at the workshop. Counter-intuitive behaviors of ML models will largely affect the public trust on AI techniques, while a revolution of machine learning/deep learning methods may be an urgent need. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. 11, 2022: We have posted the list of accepted Workshops at, Apr. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. A Systematic Survey on Deep Generative Models for Graph Generation. Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao. "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. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. P. 6205, succursale Centre-villeMontral, (Qubec) H3C 3T5Canada. What are the primary lessons learned from the model failures? We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. It is well-known that deep learning techniques that were disruptive for Euclidean data such as images or sequence data such as text are not immediately applicable to graph-structured data. [Bests of ICDM], Zheng Zhang and Liang Zhao. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. All submissions must be anonymous and conform to AAAI standards for double-blind review. We invite paper submission with a focus that aligns with the goals of this workshop. Innovation, Service, and Rising Star Awards. Brave new ideas to learn AI models under bias and scarcity. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. We will include a panel discussion to close the workshop, in which the audience can ask follow up questions and to identify the key AI challenges to push the frontiers in Chemistry. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang. 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. 4, Roosevelt Rd., Taipei, TaiwanAffiliation: National Taiwan UniversityPhone: +1-412-465-0130Email: yvchen@csie.ntu.edu.tw, Paul CrookAddress: 1 Hacker Way, Menlo Park, CA, USAAffiliation: FacebookPhone: +1-650-885-0094Email: pacrook@fb.com, DSTC 10 home:https://dstc10.dstc.community/homeDSTC 10 CFPs:https://dstc10.dstc.community/calls_1/call-for-workshop-papers. We expect ~60 attendees. Some good examples include recommender systems, clustering, graph mining, The cookie is used to store the user consent for the cookies in the category "Performance". The format is the standard double-column AAAI Proceedings Style. Novel algorithms and theories to improve model robustness. Microsoft's Conference Management Toolkit is a hosted academic conference management system. Wang, Shiyu, Yuanqi Du, Xiaojie Guo, Bo Pan, and Liang Zhao. While a variety of research has advanced the fundamentals of document understanding, the majority have focused on documents found on the web which fail to capture the complexity of analysis and types of understanding needed across business documents. By entering your email, you consent to receive communications from UdeM. IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 14.255), accepted. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Deep Generation of Heterogeneous Networks. Workshop Date: Sunday August 14, 2022 EDT. [Best Paper Award]. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Datasets and Benchmarks Track, accepted. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. The topics for AIBSD 2022 include, but are not limited to: This one-day workshop will include invited talks from keynote speakers, and oral/spotlight presentations of the accepted papers. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. 4701-4707, San Francisco, California, USA, Feb 2017. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. The workshop follows a single-blind reviewing process. Frontiers in Neurorobotics, (impact factor: 2.574), accepted. Winter. It is a forum to bring attention towards collecting, measuring, managing, mining, and understanding multimodal disinformation, misinformation, and malinformation data from social media. In recent years, we have seen examples of general approaches that learn to play these games via self-play reinforcement learning (RL), as first demonstrated in Backgammon. As far as we know, we are the first workshop to focus on practical deep learning in the wild for AI, which is of great significance. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. This cookie is set by GDPR Cookie Consent plugin. Submission site:https://cmt3.research.microsoft.com/ITCI2022, Murat Kocaoglu, Chair (Purdue University, mkocaoglu@purdue.edu), Negar Kiyavash (EPFL, negar.kiyavash@epfl.ch), Todd Coleman (UCSD, tpcoleman@ucsd.edu), Supplemental workshop site:https://sites.google.com/view/itci22. 1145/3394486.3403221. Award for Artificial Intelligence for the Benefit of Humanity, Patrick Henry Winston Outstanding Educator Award, A Report to ARPA on Twenty-First Century Intelligent Systems, The Role of Intelligent Systems in the National Information Infrastructure, Code of Conduct for Conferences and Events, Request to Reproduce Copyrighted Materials, AAAI Conference on Artificial Intelligence, W1: Adversarial Machine Learning and Beyond, W2: AI for Agriculture and Food Systems (AIAFS), W6: AI in Financial Services: Adaptiveness, Resilience & Governance, W7: AI to Accelerate Science and Engineering (AI2ASE), W8: AI-Based Design and Manufacturing (ADAM) (Half-Day), W9: Artificial Intelligence for Cyber Security (AICS)(2-Day), W10: Artificial Intelligence for Education (AI4EDU), W11: Artificial Intelligence Safety (SafeAI 2022)(1.5-Day), W12: Artificial Intelligence with Biased or Scarce Data, W13: Combining Learning and Reasoning: Programming Languages, Formalisms, and Representations (CLeaR), W14: Deep Learning on Graphs: Methods and Applications (DLG-AAAI22), W15: DE-FACTIFY :Multi-Modal Fake News and Hate-Speech Detection, W16: Dialog System Technology Challenge (DSTC10), W17: Engineering Dependable and Secure Machine Learning Systems (EDSMLS 2022) (Half-Day), W18: Explainable Agency in Artificial Intelligence, W19: Graphs and More Complex Structures for Learning and Reasoning (GCLR), W21: Human-Centric Self-Supervised Learning (HC-SSL), W22: Information-Theoretic Methods for Causal Inference and Discovery (ITCI22), W23: Information Theory for Deep Learning (IT4DL), W25: Knowledge Discovery from Unstructured Data in Financial Services (Half-Day), W26: Learning Network Architecture during Training, W27: Machine Learning for Operations Research (ML4OR) (Half-Day), W28: Optimal Transport and Structured Data Modeling (OTSDM), W29: Practical Deep Learning in the Wild (PracticalDL2022), W30: Privacy-Preserving Artificial Intelligence, W31: Reinforcement Learning for Education: Opportunities and Challenges, W32: Reinforcement Learning in Games (RLG), W33: Robust Artificial Intelligence System Assurance (RAISA) (Half-Day), W34: Scientific Document Understanding (SDU) (Half-Day), W35: Self-Supervised Learning for Audio and Speech Processing, W36: Trustable, Verifiable and Auditable Federated Learning, W38: Trustworthy Autonomous Systems Engineering (TRASE-22), W39: Video Transcript Understanding (Half-Day), https://openreview.net/group?id=AAAI.org/2022/Workshop/AdvML, https://openreview.net/group?id=AAAI.org/2022/Workshop/AIAFS, https://easychair.org/conferences/?conf=aaai-2022-workshop, https://rail.fzu.edu.cn/info/1014/1064.htm, https://aaai.org/Conferences/AAAI-22/aaai22call/, https://sites.google.com/view/aaaiwfs2022, https://www.aaai.org/Publications/Templates/AuthorKit22.zip, https://openreview.net/group?id=AAAI.org/2022/Workshop/ADAM, https://easychair.org/conferences/?conf=aics22, https://cmt3.research.microsoft.com/AIBSD2022, https://aibsdworkshop.github.io/2022/index.html, https://openreview.net/forum?id=6uMNTvU-akO, https://easychair.org/conferences/?conf=dlg22, https://deep-learning-graphs.bitbucket.io/dlg-aaai22/, https://cmt3.research.microsoft.com/DSTC102022, https://dstc10.dstc.community/calls_1/call-for-workshop-papers, https://easychair.org/my/conference?conf=edsmls2022, https://sites.google.com/view/edsmls-2022/home, https://sites.google.com/view/eaai-ws-2022/call, https://sites.google.com/view/eaai-ws-2022/topic, https://sites.google.com/view/gclr2022/submissions, https://cmt3.research.microsoft.com/AAAI2022HCSSL/Submission/Index, https://cmt3.research.microsoft.com/ITCI2022, https://easychair.org/conferences/?conf=it4dl, https://easychair.org/conferences/?conf=imlaaai22, https://sites.google.com/view/aaai22-imlw, https://easychair.org/conferences/?conf=kdf22, Learning Network Architecture During Training, https://cmt3.research.microsoft.com/OTSDM2022, https://cmt3.research.microsoft.com/PracticalDL2022, https://cmt3.research.microsoft.com/PPAI2022, https://easychair.org/conferences/?conf=rl4edaaai22, https://sites.google.com/view/raisa-2022/, https://sites.google.com/view/sdu-aaai22/home, https://cmt3.research.microsoft.com/SAS2022, https://easychair.org/conferences/?conf=fl-aaai-22, http://federated-learning.org/fl-aaai-2022/, https://cmt3.research.microsoft.com/TAIH2022, https://easychair.org/conferences/?conf=trase2022, https://easychair.org/my/conference?conf=vtuaaai2022, Symposium on Educational Advances in Artificial Intelligence (EAAI-22), Conference on Innovative Applications of Artificial Intelligence (IAAI-22).