We invite paper submission on the following (and related) topics: The workshop will be a 1 day meeting comprising several invited talks from distinguished researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work, and a concluding panel discussion focusing on future directions. 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. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. "Automatic Targeted-Domain Spatiotemporal Event Detection in Twitter." The post-launch session includes the invited talks, shared task winners presentations, and a panel discussion on the resources, findings, and upcoming challenges. 27, 2022: Please check out Speical Days at, Apr. The workshop plans to invite about 50-75 participants. We invite submissions on a wide range of topics, spanning both theoretical and practical research and applications. Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, Liang Zhao. What AI safety considerations and experiences are relevant from industry? Causality has received significant interest in ML in recent years in part due to its utility for generalization and robustness. "Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning." Taseef Rahman, Yuanqi Du, Liang Zhao, Amarda Shehu. Checklist for Revising a SIGKDD Data Mining Paper, How to Write and Publish Research Papers for the Premier Forums in Knowledge & Data Engineering, https://researcher.watson.ibm.com/researcher/view_group.php?id=144, IEEE International Conference on Big Data (, AAAI Conference on Artificial Intelligence (, IEEE International Conference on Data Engineering (, SIAM International Conference on Data Mining (, Pacific-Asia Conference on Knowledge Discovery and Data Mining (, ACM SIGKDD International Conference on Knowledge discovery and data mining (, European Conference on Machine learning and knowledge discovery in databases (, ACM International Conference on Information and Knowledge Management (, IEEE International Conference on Data Mining (, ACM International Conference on Web Search and Data Mining (, 18.4% (181/983, research track), 22.5% (112/497, applied data science track), 59.1% (107/181, research track), 35.7% (40/112, applied data science track), 17.4% (130/748, research track), 22.0% (86/390, applied data science track), 49.2% (64/130, research track), 41.9% (36/86, applied data science track), 18.1% (142/784, research track), 19.9% (66/331, applied data science track), 49.3% (70/142, research track), 60.1% (40/66, applied data science track), 18.5% (194/1046, overall), 9.1% (95/?, regular paper), ?% (99/?, short paper), 19.8% (188/948, overall), 8.9% (84/?, regular paper), ?% (104/?, short paper), 19.9% (155/778, overall), 9.3% (72/?, regular paper), ?% (83/?, short paper), 19.6% (178/904, overall), 8.6% (78/?, regular paper), ?% (100/?, short paper), 19.6% (202/1031, long paper), 22.7% (107/471, short paper), 21.8% (38/174m applied research), 17% (147/826, long paper), 23% (96/413, short paper), 25% (demo), 34% (industry paper), Short papers are presented at poster sessions, 20% (171/855, long paper), 28% (119/419, short paper), 38% (30/80, demo paper), 23% (160/701, long paper), 24% (55/234, short paper), 54 extended short papers (6 pages), 26% (94/354, research track), 26% (37/143, applied ds track), 15% (23/151, journal track), 27.8% (164/592, overall), 9.8% (58/592, long presentation), 18.1% (107/592, regular), 28.2% (129/458, overall), 9.8% (45/458, long presentation), 18.3% (84/458, regular), 29.6% (91/307, overall), 12.7% (39/307, long presentation), 16.9% (52/307, regular), 40.4% (34/84, long presentation), 59.5% (50/84, short presentation)^, 16.3% (84/514 in which 3 papers are withdrawn/rejected after the acceptance), 28.4% (23/81, long presentation), 71.6% (58/81, short presentation)^, 30% (24/80, long presentation), 70% (56/80, short presentation)^, 29.8% (20/67, long presentation), 70.2% (47/67, short presentation)^, 53.8% (21/39, long presentation), 46.2% (18/39, short presentation)^. A fundamental problem in the use of artificial neural networks is that the first step is to guess the network architecture. Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao. ML4OR will place particular emphasis on: (1) ML methodologies for enhancing traditional OR algorithms for integer programming, combinatorial optimization, stochastic programming, multi-objective optimization, location and routing problems, etc. Each full paper will be reviewed by three PC members, while extended abstracts will not be reviewed. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. Two types of submissions will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references). 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. There is a need for the research community to develop novel solutions for these practical issues. All papers must be submitted in PDF format using the AAAI-22 author kit. The AAAI-22 workshop program includes 39 workshops covering a [] It will start with a 60-minute mini-tutorial covering the basics of RL in games, and will include 2-4 invited talks by prominent contributors to the field, paper presentations, a poster session, and will close with a discussion panel. arXiv preprint arXiv:2302.02093 (2023). 2022. The consideration and experience of adversarial ML from industry and policy making. ), Learning with algebraic or combinatorial structure, Link analysis/prediction, node classification, graph classification, clustering for complex graph structures, Theoretical analysis of graph algorithms or models, Optimization methods for graphs/manifolds, Probabilistic and graphical models for structured data, Unsupervised graph/manifold embedding methods. These abrupt changes impacted the environmental assumptions used by AI/ML systems and their corresponding input data patterns. 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/. a tutorial on how to structure data mining papers by Prof. Xindong Wu (University of Louisiana at Lafayette). upon methodologies and applications for extracting useful knowledge from data [1]. 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. Scott E. Fahlman, School of Computer Science, Carnegie Mellon University (sef@cs.cmu.edu), Edouard Oyallon, Sorbonne Universit LIP6 (Edouard.oyallon@lip6.fr), Dean Alderucci, School of Computer Science, Carnegie Mellon University, (dalderuc@cs.cmu.edu). Publication in HC-SSL does not prohibit authors from publishing their papers in archival venues such as NeurIPS/ICLR/ICML or IEEE/ACM Conferences and Journals. Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. Motif-guided Heterogeneous Graph Deep Generation. Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. The submission website ishttps://cmt3.research.microsoft.com/TAIH2022. Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Check the deadlines for submitting your application. No supplement is allowed for extended abstracts. 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. Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI 2021), (acceptance rate: 21.0%), accepted. About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. We will instead host the accepted papers on this website (https://aka.ms/di-2022) indefinitely. Knowledge Discovery and Data Mining is an interdisciplinary area focusing upon methodologies and applications for extracting useful knowledge from data [1] . The workshop combines several disciplines, including ML, software engineering (with emphasis on quality), security, and game theory. 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. STGEN: Deep Continuous-time Spatiotemporal Graph Generation. Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints. Submissions are limited to a total of 5 pages for initial submission (up to 6 pages for final camera-ready submission), excluding references or supplementary materials, and authors should only rely on the supplementary material to include minor details that do not fit in the 5 pages. Analytical cookies are used to understand how visitors interact with the website. Recently developed tools and cutting-edge methodologies coming from the theory of optimal transport have proved to be particularly successful for these tasks. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). 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. We would especially like to highlight approaches that are qualitatively different from some popular but computationally intensive NAS methods. Disease Contact Network. RAISAs systems-level perspective will be emphasized via three main thrusts: AI threat modeling, AI system robustness, explainable AI, system lifecycle attacks, system verification and validation, robustness benchmarks and standards, robustness to black-box and white-box adversarial attacks, defenses against training, operational and inversion attacks, AI system confidentiality, integrity, and availability, AI system fairness and bias. 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. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. 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. Web applications along with text processing programs are increasingly being used to harness online data and information to discover meaningful patterns identifying emerging health threats. 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). 29, no. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. In fact, the increasingly digitized education tools and the popularity of online learning have produced an unprecedented amount of data that provides us with invaluable opportunities for applying AI in education. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. You also have the option to opt-out of these cookies. The submission website ishttps://cmt3.research.microsoft.com/PPAI2022. Adverse event detection by integrating Twitter data and VAERS. Accepted papers are likely to be archived. 19-25, 2016. While the research community is converging on robust solutions for individual AI models in specific scenarios, the problem of evaluating and assuring the robustness of an AI system across its entire life cycle is much more complex. 1-39, November 2016. NOTE: May 19: Notification. 4. Babies learn their first language through listening, talking, and interacting with adults. Accepted papers will not be archived, and we explicitly allow papers that are concurrently submitted to, currently under review at, or recently accepted in other conferences / venues. The excellent papers will be recommended for publications in SCI or EI journals. Automatic fact/claim verification has recently become a topic of interest among diverse research communities. Different from machine learning, Knowledge Discovery and Data Mining (KDD) is 2022. Extended abstract up to 2 pages are also welcome. Any participant who experiences unacceptable behavior may contact any current member of the SIGMOD Executive Committee, the PODS Executive Committee, DBCares, or this year's D&I co-chairs Pnar Tzn (pito@itu.dk) and Renata Borovica-Gajic (renata.borovica@unimelb.edu.au). PLOS ONE (impact factor: 3.534), vo. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). "Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System." Submission at:https://easychair.org/my/conference?conf=edsmls2022. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. Integration of probabilistic inference in training deep models. Wang, Shiyu, Yuanqi Du, Xiaojie Guo, Bo Pan, and Liang Zhao. Han Wang, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Liang Zhao, Tinoosh Mohsenin, Setareh Rafatirad. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Please refer and submit through theLearning Network Architecture During Trainingworkshop website, which has more detailed information. Social Media based Simulation Models for Understanding Disease Dynamics. This workshop will follow a dual-track format. Accepted papers will not be archived but will be hosted on the workshop website. 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. What safety engineering considerations are required to develop safe human-machine interaction? Prediction-time Efficient Classification Using Feature Computational Dependencies. July 21: Clarified that the workshop this year will be held in-person. CVPR 11 deadline . Attendance is virtual and open to all. Design, Automation and Test in Europe Conference (DATE 2020), long paper, (acceptance rate: 26%), accepted. This workshop aims to bring together researchers and practitioners working on different facets of these problems, from diverse backgrounds to share challenges, new directions, recent research results, and lessons from applications. Submissions including full papers (6-8 pages) and short papers (2-4 pages) should be anonymized and follow the AAAI-22 Formatting Instructions (two-column format) at https://www.aaai.org/Publications/Templates/AuthorKit22.zip. Junxiang Wang, Yuyang Gao, Andreas Zufle, Jingyuan Yang, and Liang Zhao. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. Some good examples include recommender systems, clustering, graph mining, Three specific roles are part of this format: session chairs, presenters and paper discussants. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Ferdinando Fioretto (Syracuse University), Aleksandra Korolova (University of Southern California), Pascal Van Hentenryck (Georgia Institute of Technology), Supplemental Workshop site:https://aaai-ppai22.github.io/. Full papers are allocated 20m presentation and 10m discussion. Kyoto . IEEE Transactions on Pattern Analysis and Machine Intelligence (Impact Factor: 24.31), accepted. DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. Deep Spatial Domain Generalization. Submission instructions will be available at the workshop web page. All submissions will be peer-reviewed. Identification of information-theoretic quantities relevant for causal inference and discovery. of London). The workshop is organized by paper presentations.The length of the workshop: 1-day, 6-8 pages for full papers2-4 for poster/short/position papers, Submission URL:https://easychair.org/conferences/?conf=aaai-2022-workshop, Wenzhong Guo (Fuzhou University, fzugwz@163.com), Chin-Chen Chang (Feng Chia University, alan3c@gmail.com), Chi-Hua Chen (Fuzhou University, chihua0826@gmail.com), Haishuai Wang (Fairfield University & Harvard University, hwang@fairfield.edu), Feng-Jang Hwang (University of Technology Sydney), Cheng Shi (Xian University of Technology), Ching-Chun Chang (National Institute of Informatics, Japan). Submissions will be peer-reviewed, single-blinded, and assessed based on their novelty, technical quality, significance, clarity, and relevance regarding the workshop topics. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Fang Jin, Wei Wang, Liang Zhao, Edward Dougherty, Yang Cao, Chang-Tien Lu, and Naren Ramakrishnan. 4498-4505, New Orleans, US, Feb 2018. How can the financial services industry balance the regulatory compliance and model governance pressures with adaptive models, Methods to combine scientific knowledge and data to build accurate predictive models, Adaptive experiment design under resource constraints, Learning cheap surrogate models to accelerate simulations, Learning effective representations for structured data, Uncertainty quantification and reasoning tools for decision-making, Explainable AI for both prediction and decision-making, Integrating AI tools into existing workflows, Challenges in applying and deployment of AI in the real-world. Scientists and engineers in diverse domains are increasingly relying on using AI tools to accelerate scientific discovery and engineering design. We received 38 paper submissions and accepted 23 of them. Public health authorities and researchers collect data from many sources and analyze these data together to estimate the incidence and prevalence of different health conditions, as well as related risk factors. Submissions that do not meet the formatting requirements will be rejected without review. Submissions may consist of up to 4 pages plus one additional page solely for references. San Francisco, USA . The program consists of poster sessions for accepted papers, and invited and spotlight talks. How to do good research, Get it published in SIGKDD and get it cited! We will use double-blind reviewing. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Novel AI-enabled generative models for system design and manufacturing. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Unsupervised Deep Subgraph Anomaly Detection. 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. You may file an application just the same, but Universit de Montral cannot guarantee that it will respond quickly enough for you to be able to complete all the formalities required to study in Quebec. Information extraction from text and semi-structured documents. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. All these changes require novel solutions, and the AI community is well-positioned to provide both theoretical- and application-based methods and frameworks. Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Fanny Ye, Chang-tien Lu, and Naren Ramakrishnan. 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. We allow both short (2-4 pages) and long papers (6-8 pages) papers. The post-lunch session will feature one long talk, two short talks, and a poster session. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. Gabriel Pedroza (CEA LIST), Jos Hernndez-Orallo (Universitat Politcnica de Valncia, Spain), Xin Cynthia Chen (University of Hong Kong, China), Xiaowei Huang (University of Liverpool, UK), Huascar Espinoza (KDT JU, Belgium), Mauricio Castillo-Effen (Lockheed Martin, USA), Sen higeartaigh (University of Cambridge, UK), Richard Mallah (Future of Life Institute, USA), John McDermid (University of York, UK), Supplemental workshop site:http://safeaiw.org/. Data mining systems and platforms, and their efficiency, scalability, security and privacy. Deep Graph Spectral Evolution Networks for Graph Topological Evolution. Our preliminary plan for the schedule is as following , DEFACTIFY@AAAI-22 Program [tentative]9:00AM-9:15AMInaugurationA brief summary of the shared tasks number of participants, best results, Session 1 multimodal fact checkingWorkshop papers 9:30AM 10:30AM, 11:00AM 12:00pmInvited talk 1 Prof. Rada Mihalcea, University of Michigan, Session 2 Best 4/5 papers from FACTIFY & MEMOTION shared taskWorkshop papers 1:00PM 2:00PM, 2:00PM 3:30PMInvited talk 2 Prof. LOUIS-PHILIPPE MORENCY, CMU, Session 2 multimodal hate speechWorkshop papers 4:00PM 5:00PM. ACM Transactions on Knowledge Discovery from Data (TKDD), (impact factor: 3.089), accepted. Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. This policy also applies to papers that overlap substantially in technical content with papers previously published, accepted, or under review. Why did so many AI/ML models fail during the pandemic? Merge remote-tracking branch 'origin/master', 2. Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao. At least one author of each accepted submission must present the paper at the workshop. Researchers from related fields are invited to submit papers on the recent advances, resources, tools, and upcoming challenges for SDU. Consequently, standard notions of software quality and reliability such as deterministic functional correctness, black box testing, code coverage, and traditional software debugging become practically irrelevant for ML systems. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. [materials]. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. PDF suitable for ArXiv repository (4 to 8 pages). 7, no. Liyan Xu, Xuchao Zhang, Zong Bo, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho Choi. Short papers 10m presentation and 5m discussion. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), New Orleans, US, Feb 2018, pp. The workshop is a full day. 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. 1145/3394486.3403221. The accepted papers are allowed to be submitted to other conference venues. Papers more suited for a poster, rather than a presentation, would be invited for a poster session. Lastly, learning joint modalities is of interest to both Natural Language Processing (NLP) and Computer Vision (CV) forums. 11-13. in Proceedings of the 22st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), applied data science track, accepted (acceptance rate: 19.9%), pp. We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. Highlights: Government day with NSF, NIH, DARPA, NIST, and IARPA Local industries in the DC Metro Area, including the Amazon's 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 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. You signed in with another tab or window.