The fundamental mechanism of an online marketplace is to match supply and demand to generate transactions, with objectives considering service quality, participants experience, financial and operational efficiency. This workshop aims to bring together researchers from industry and academia and from different disciplines in AI and surrounding areas to explore challenges and innovations in IML. Liming Zhang, Dieter Pfoser, Liang Zhao. Online . 10, pp. 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. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. arXiv preprint arXiv:2002.11867 (2021), Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. For example, AI tools are built to ease the workload for teachers. CVPR 11 deadline . This AAAI-22 workshop on AI for Decision Optimization (AI4DO) will explore how AI can be used to significantly simplify the creation of efficient production level optimization models, thereby enabling their much wider application and resulting business values.The desired outcome of this workshop is to drive forward research and seed collaborations in this area by bringing together machine learning and decision-making from the lens of both dynamic and static optimization models. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 20%=174/870), short paper, to appear, 2022. The impact of robustness assurance on other AI ethics principles: RAISA will also explore aspects related to ethical AI that overlap and interact with robustness concerns, including security, fairness, privacy, and explainability. The submission website ishttps://cmt3.research.microsoft.com/TAIH2022. For each accepted paper, at least one author must attend the workshop and present the paper. Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc. These cookies track visitors across websites and collect information to provide customized ads. Submissions of technical papers can be up to 7 pages excluding references and appendices. We invite paper submission with a focus that aligns with the goals of this workshop. 1466-1469. Theoretical or empirical studies focusing on understanding why self-supervision methods work for speech and audio. Knowledge representation for business documents. How to do good research, Get it published in SIGKDD and get it cited! In the coronavirus era, requiring many schools to move to online learning, the ability to give feedback at scale could provide needed support to teachers. 11-13. Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. https://doi.org/10. Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. 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. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci. Computer Science and Engineering, INESC-ID, IST Ulisboa, Lisbon, Portugal currently at Sorbonne University, Paris, France silvia.tulli@gaips.inesc-id.pt), Prashan Madumal (Science and Information Systems, University of Melbourne, Parkville, Australia pmathugama@student.unimelb.edu.au), Mark T. Keane (School of Computer Science, University College Dublin, Dublin, Ireland mark.keane@ucd.ie), David W. Aha (Navy Center for Applied Research in AI, Naval Research Laboratory, Washington, DC, USA david.aha@nrl.navy.mil), Adam Johns (Drexel University, Philadelphia, PA USA), Tathagata Chakraborti (IBM Research AI, Cambridge, MA USA), Kim Baraka (VU University Amsterdam, Netherlands), Isaac Lage (Harvard University, Cambridge, MA USA), David Martens (University of Antwerp, Belgium), Mohamed Chetouani (Sorbonne Universit, Paris, France), Peter Flach (University of Bristol, United Kingdom), Kacper Sokol (University of Bristol, United Kingdom), Ofra Amir (Technion, Haifa, Israel), Dimitrios Letsios (Kings College London, London, United Kingdom), Supplemental workshop site:https://sites.google.com/view/eaai-ws-2022/topic. "Multi-resolution Spatial Event Forecasting in Social Media." Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. 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. Typically, we receive around 40~60 submissions to each previous workshop. Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2014), industrial track, pp. Proceedings of the IEEE (impact factor: 9.237), vol. All papers must be submitted in PDF format, using the AAAI-22 author kit. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022) (Acceptance Rate: 23.8%), full paper track, to appear, 2022. References will not count towards the page limit. Novel mechanisms for eliciting and consuming user feedback, recommender, structured and generative models, concept acquisition, data processing, optimization; HCI and visualization challenges; Analysis of human factors/cognition and user modelling; Design, testing and assessment of IML systems; Studies on risks of interaction mechanisms, e.g., information leakage and bias; Business use cases and applications. The goal of this workshop is to focus on creating and refining AI-based approaches that (1) process personalized data, (2) help patients (and families) participate in the care process, (3) improve patient participation, (4) help physicians utilize this participation to provide high quality and efficient personalized care, and (5) connect patients with information beyond that available within their care setting. Welcome to PAKDD2022. Manuscripts must be submitted as PDF files viaEasyChair online submission system. KDD 2022. Chen Ling, Carl Yang, and Liang Zhao. Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2020), (acceptance rate: 20.6%), accepted. At least one author of each accepted submission must register and present the paper at the workshop. What AI safety considerations and experiences are relevant from industry? Despite rapid recent progress, it has proven to be challenging for Artificial Intelligence (AI) algorithms to be integrated into real-world applications such as autonomous vehicles, industrial robotics, and healthcare. 2022. 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. Accepted papers will be given the opportunity to present at the spotlight sessions during the workshop. Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad. These challenges are widely studied in enterprise networks, but there are many gaps in research and practice as well as novel problems in other domains. The Institute for Operations Research and the Management Sciences, [Submission deadline extended, June 3] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, We are excited to announce our upcoming workshop at. Meta-learning models from various existing task-specific AI models. However, workshop organizers may set up any archived publication mechanism that best suits their workshop. "Automatic Targeted-Domain Spatiotemporal Event Detection in Twitter." Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Qingzhe Li, Amir A. Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, and Liang Zhao. Deadline: FSE 2023. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). 963-971, Apr-May 2015. 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. job seekers, employers, recruiters and job agents. We propose a full day workshop with the following sessions: The workshop solicits paper submissions from participants (26 pages). In general, AI techniques are still not widely adopted in the real world. For example, failures in IoT can result in infrastructure disruptions, and failures in autonomous cars can lead to congestion and crashes. Check the CFP for details Deadline: ICDM 2020 . The workshop will be organized as a full day meeting. In particular, we encourage papers covering late-breaking results and work-in-progress research. ACM Transactions on Spatial Algorithms and Systems (TSAS), accepted. Oct. 24, 2021: The KDD2022 website is LIVE! Autonomous vehicles can share their detected information (e.g., traffic signs, collision events, etc.) At least one author of each accepted submission must be present at the workshop. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. KDD 2022 is a dual-track conference that provides distinct programming in research and applied data science. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. You also have the option to opt-out of these cookies. 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. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Journal of Biomedical Semantics, (impact factor: 1.845), 2018, accepted. For further information, please have a look at the call for contributions. Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. Send this CFP to us by mail: cfp@ourglocal.org. Apr 11-14, 2022. Attendance is open to all. Short or position papers of up to 4 pages are also welcome. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. Zheng Zhang and Liang Zhao. In recent months/years, major global shifts have occurred across the globe triggered by the Covid pandemic. Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Lastly, learning joint modalities is of interest to both Natural Language Processing (NLP) and Computer Vision (CV) forums. "How events unfold: spatiotemporal mining in social media." Hence, this workshop will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice. Liang Zhao. Optimal transport-based analysis of structured data, such as networks, meshes, sequences, and so on; The applications of optimal transport in molecule analysis, network analysis, natural language processing, computer vision, and bioinformatics. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. The excellent papers will be recommended for publications in SCI or EI journals. KDD 2022 KDD . The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. Submissions will go through a double-blind review process. Research track papers reporting the results of ongoing or new research, which have not been published before. Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. "Knowledge-enhanced Neural Machine Reasoning: A Review." Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Adverse event detection by integrating Twitter data and VAERS. It is difficult to expose false claims before they create a lot of damage. VDS@KDD will be hybrid and VDS@VIS will be hybrid (both virtual and in-person) in 2022. Information extraction from text and semi-structured documents. 22, Issue 2. 2020. Deep learning has achieved significant success for artificial intelligence (AI) in multiple fields. Submit to:https://cmt3.research.microsoft.com/AIBSD2022, Kuan-Chuan Peng (Mitsubishi Electric Research Laboratories, kp388@cornell.edu), Ziyan Wu (UII America, Inc., wuzy.buaa@gmail.com), Supplemental workshop site:https://aibsdworkshop.github.io/2022/index.html. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen. Yuyang Gao and Liang Zhao. In the financial services industry particularly, a large amount of financial analysts work requires knowledge discovery and extraction from different data sources, such as SEC filings and industry reports, etc., before they can conduct any analysis. Semantic understanding of business documents. 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. All questions about submissions should be emailed to nurendra@vt.edu, AmazonKDDCup2022: KDD Cup 2022 Workshop: ESCI Challenge for Improving Product Search, Washington DC, DC, United States, August 17, 2022, https://easychair.org/conferences/?conf=amazonkddcup2022, https://www.acm.org/publications/proceedings-template. Multilingual document understanding methods and frameworks. ACM, 2014. Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, "Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation", ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 1.98), accepted, 2019. CPM: A General Feature Dependency Pattern Mining Framework for Contrast Multivariate Time Series. ML4OR will serve as an interdisciplinary forum for researchers in both fields to discuss technical issues at this interface and present ML approaches that apply to basic OR building blocks (e.g., integer programming solvers) or specific applications. It is important to learn how to use AI effectively in these areas in order to be able to motivate and help people to take actions that maximize their welfare. Please keep your paper format according to AAAI Formatting Instructions (two-column format). We invite submissions of full papers, as well as works-in-progress, position papers, and papers describing open problems and challenges. Can AI achieve the same goal without much low-level supervision? Each accepted paper presentation will be allocated between 15 and 20 minutes. Transfer learning methods for business document reading and understanding. [paper] [Bests of ICDM]. Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. 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. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. By registering, you agree to receive emails from UdeM. May 8, 2022: Student Travel Awards announcement is, Apr. Paper Submission Deadline: 23:59 on Thursday. Integration of Deep Learning and Relational Learning. Extended abstract up to 2 pages are also welcome. In Proceedings of the 20th International Conference on Data Mining (ICDM 2020), (acceptance rate: 9.8%), November 17-20, 2020, Virtual Event, Sorrento, Italy, 10 pages. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. Frontiers in Big Data, accepted, 2021. Microsoft's Conference Management Toolkit is a hosted academic conference management system. The full-day workshop will start with an opening remark followed by long research paper presentations in the morning. 15, pp. DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. 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/. It is valuable to bring together researchers and practitioners from different application domains to discuss their experiences, challenges, and opportunities to leverage cross-domain knowledge. Nowadays, machine learning solutions are widely deployed. 507-516, Singapore, Nov 2017. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. Applications of causal inference and discovery in machine learning/deep learning motivated by information-theoretic approaches (e.g. Published March 4, 2023 4:51 a.m. PST. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. But opting out of some of these cookies may affect your browsing experience. Submissions should be formatted using the AAAI-2022 Author Kit. 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. Aug 14-18. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. 76, pp. Please note that the KDD Cup workshop will have no proceedings and the authors retain full rights to submit or post the paper at any other venue. Accepted papers will be published in the workshop proceedings. The submissions must follow the formatting guidelines for AAAI-22. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. The workshop is a full day. The goal of this workshop is to connect researchers in self-supervision inside and outside the speech and audio fields to discuss cutting-edge technology, inspire ideas and collaborations, and drive the research frontier. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. California, United Stes. The eligibility criteria for attending the workshop will be registration in the conference/workshop as per AAAI norms. 1, Sec. 2022. a fantastic tutorial on SIGKDD'09 by Prof. Eamonn Keogh (UC Riverside). Multi-objective Deep Data Generation with Correlated Property Control. Submission Site:https://cmt3.research.microsoft.com/SAS2022, Abdelrahman Mohamed (Facebook, abdo@fb.com), Hung-yi Lee (NTU, hungyilee@ntu.edu.tw), Shinji Watanabe (CMU, shinjiw@ieee.org), Tara Sainath (Google, tsainath@google.com), Karen Livescu (TTIC, klivescu@ttic.edu), Shang-Wen Li (Facebook, shangwel@fb.com), Ewan Dunbar (University of Toronto, ewan.dunbar@utoronto.ca) Emmanuel Dupoux (EHESS/Facebook, dpx@fb.com), Workshop URL:https://aaai-sas-2022.github.io/. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. "Efficient Global String Kernel with Random Features: Beyond Counting Substructures", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. 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. The mission of the TRASE workshop is to bring together researchers from multiple engineering disciplines, including Computer Science, and Computer, Mechanical, Electrical, and Systems Engineering, who focus their energies in understanding both specific TRASE subproblems, such as perception, planning, and control, as well as robust and reliable end-to-end integration of autonomy. We expect ~60 attendees. Submission site:https://openreview.net/group?id=AAAI.org/2022/Workshop/AIAFS, Girish Chowdhary (University of Illinois, Urbana Champaign), Baskar Ganapathysubramanian (Iowa State University; contact: baskarg@iastate.edu), George Kantor (Carnegie Mellon University), Soumyashree Kar (Iowa State University), Koushik Nagasubramanian (Iowa State University), Soumik Sarkar (Iowa State University), Katia Sycara (Carnegie Mellon University), Sierra Young (North Carolina State University), Alina Zare (University of Florida, Gainesville), Supplemental workshop site:https://aiafs-aaai2022.github.io/. 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. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. Information theoretic quantities (entropy, mutual information, divergence) estimation, Information theoretic methods for out-of-domain generalization and relevant problems (such as robust transfer learning and lifelong learning), Information theoretic methods for learning from limited labelled data, such as few-shot learning, zero-shot learning, self-supervised learning, and unsupervised learning, Information theoretic methods for the robustness of DNNs in AI systems, The explanation of deep learning models (in AI systems) with information-theoretic methods, Information theoretic methods in different AI applications (e.g., NLP, healthcare, robotics, finance).

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