kdd 2022 deadline

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. There is a need for the research community to develop novel solutions for these practical issues. 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. What AI safety considerations and experiences are relevant from industry? Specific topics of interest for the workshop include (but are not limited to) foundational and translational AI activities related to: The workshop will be a one day meeting comprising invited talks from researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work. This workshop covers (but not limited to) the following topics: , It is a one day workshop and includes: invited talks, interactive discussions, paper presentations, shared task presentations, poster session etc. Novel ML methods in the computational material and physical sciences. A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. These models can also generate instant feedback to instructors and help them to improve their teaching effectiveness. 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. Exploring the limits of self-supervised learning approaches for speech and audio processing, for example, adverse environment conditions, multiple languages, or generalization across downstream tasks. VDS@KDD will be hybrid and VDS@VIS will be hybrid (both virtual and in-person) in 2022. The program of the workshop will include invited talks, paper presentations and a panel discussion. This calls for novel methods and new methodologies and tools to address quality and reliability challenges of ML systems. You can optionally export all deadlines to Google Calendar or .ics . Liang Zhao, Junxiang Wang, and Xiaojie Guo. Xiaojie Guo, Lingfei Wu, Liang Zhao. Liyan Xu, Xuchao Zhang, Zong Bo, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho Choi. Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. We invite the submission of papers with 4-6 pages. ACM Transactions on Spatial Algorithms and Systems (TSAS), 5, 3, Article 19 (September 2019), 28 pages. The scope of the workshop includes, but is not limited to, the following areas: We also invite participants to an interactive hack-a-thon. For further information, please have a look at the call for contributions. 4. Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, and Yanfang Ye. . ), Graduate (master's, specialized graduate diploma (DESS), etc. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. Welcome to PAKDD2022. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). "TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction", the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (SIGSPATIAL 2019), long paper, (acceptance rate: 21.7%), Chicago, Illinois, USA, accepted. Babies learn their first language through listening, talking, and interacting with adults. AI System Robustness: participants will consider techniques for detecting and mitigating vulnerabilities at each of the processing stages of an AI system, including: the input stage of sensing and measurement, the data conditioning stage, during training and application of machine learning algorithms, the human-machine teaming stage, and during operational use. The study of complex graphs is a highly interdisciplinary field that aims to study complex systems by using mathematical models, physical laws, inference and learning algorithms, etc. May 8, 2022: Student Travel Awards announcement is, Apr. 2022. July 21: Clarified that the workshop this year will be held in-person. robust and interpretable natural language processing for healthcare. Please use vds@ieeevis.org to get in touch with us, or follow us on Twitter at @VisualDataSci. The submitted papers written in English must be in PDF format according to the AAAI camera ready style. Application fees are not refundable. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. At the AAAI 2022 Workshop on Video Transcript Understanding (VTU @ AAAI 2022), we aim to bring together researchers from various domains to make the best of the knowledge that all these videos contain. Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, and Setareh Rafatirad,. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng and Liang Zhao. ^All accepted WSDM papers are associated with an interactive poster presentation in addition to oral presentations. There were two workshops on similar topics hosted at ICML 2020 and NeurIPS 2020, and both workshops observed positive feedback and overwhelming participation. 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. "Knowledge-enhanced Neural Machine Reasoning: A Review." How to Write and Publish Research Papers for the Premier Forums in Knowledge & Data Engineering: in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. Fine tuning a neural network is very time consuming and far from optimal. Generative Adversarial Learning of Protein Tertiary Structures. Question answering on business documents. Geographical Mapping and Visual Analytics for Health Data, Biomedical Ontologies, Terminologies, and Standards, Bayesian Networks and Reasoning under Uncertainty, Temporal and Spatial Representation and Reasoning, Crowdsourcing and Collective Intelligence, Risk Assessment, Trust, Ethics, Privacy, and Security, Computational Behavioral/Cognitive Modeling, Health Intervention Design, Modeling and Evaluation, Applications in Epidemiology and Surveillance (e.g., Bioterrorism, Participatory Surveillance, Syndromic Surveillance, Population Screening), Hybrid methods, combining data driven and predictive forward models, biomedical signal analysis/modeling (EEG, ECG, PPG, EMG, fMRI, IMU, medical/clinical data, etc. : Papers must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Andrew White, University of RochesterDr. By clicking Accept All, you consent to the use of ALL the cookies. "STED: semi-supervised targeted-interest event detectionin in twitter." Handwritten recognition in business documents. Event Prediction in the Big Data Era: A Systematic Survey. 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. We invite submissions from participants who can contribute to the theory and applications of modeling complex graph structures such as hypergraphs, multilayer networks, multi-relational graphs, heterogeneous information networks, multi-modal graphs, signed networks, bipartite networks, temporal/dynamic graphs, etc. 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. The industry session will emphasize practical industrial product developments using GNNs. Submitted technical papers can be up to 4 pages long (excluding references and appendices). We will receive the paper on the CMT system. "A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks", in Proceedings of the IEEE International Conference on Data Mining (ICDM 2017) , regular paper; (acceptance rate: 9.25%), pp. [Bests of ICDM]. Online . Industry-wide reports highlight large-scale remediation efforts to fix the failures and performance issues. The goal of this workshop is to offer an opportunity to appreciate the diversity in applications, to draw connections to inform decision optimization across different industries, and to discover new problems that are fundamental to marketplaces of different domains. Submissions that do not meet the formatting requirements will be rejected without review. Martin Michalowski, PhD, FAMIA (Co-chair), University of Minnesota; Arash Shaban-Nejad, PhD, MPH (Co-chair), The University of Tennessee Health Science Center Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics; Simone Bianco, PhD (Co-chair), IBM Almaden Research Center; Szymon Wilk, PhD, Poznan University of Technology; David L. Buckeridge, MD, PhD, McGill University; John S. Brownstein, PhD, Boston Childrens Hospital, Workshop URL:http://w3phiai2022.w3phi.com/. Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. IEEE Computer (impact factor: 3.564), vo. The cookie is used to store the user consent for the cookies in the category "Other. Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Manuscripts must be submitted as PDF files viaEasyChair online submission system. 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. We invite thought-provoking submissions on a range of topics in fields including, but not limited to, the following areas: The full-day workshop will start with a keynote talk, followed by an invited talk and contributed paper presentations in the morning. It highlights the importance of declarative languages that enable such integration for covering multiple formalisms at a high-level and points to the need for building a new generation of ML tools to help domain experts in designing complex models where they can declare their knowledge about the domain and use data-driven learning models based on various underlying formalisms. Social Media based Simulation Models for Understanding Disease Dynamics. Computers & Electrical Engineering (impact factor: 2.189), vo. and deep learning techniques (e.g. Kaiqun Fu, Taoran Ji, Liang Zhao, and Chang-Tien Lu. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. At least three research trends are informing insights in this field. If these formalities are not completed in time, you will have to file a new application at a later date. We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. "Controllable Data Generation by Deep Learning: A Review." STGEN: Deep Continuous-time Spatiotemporal Graph Generation. 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. 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. Microsoft Research CMT: https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/ or https://aka.ms/di-2022, Workshop registration will be processed with the main KDD 2022 conference: https://kdd.org/kdd2022/, Standard ACM Conference Proceedings Template, Conflict of Interest Policy for ACM Publications, https://cmt3.research.microsoft.com/DI2022, https://document-intelligence.github.io/DI-2022/, Second Document Intelligence Workshop @ KDD 2021, First Document Intelligence Workshop @ NeurIPS 2019, Hamid Motahari, Nigel Duffy, Paul Bennett, and Tania Bedrax-Weiss. 2999-3006, New Orleans, US, Feb 2018. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Our topics of interest span over prediction, planning, and decision problems for online marketplaces, including but not limited to. Research track papers reporting the results of ongoing or new research, which have not been published before. All papers must be submitted in PDF format, using the AAAI-22 author kit. Optimal transport theory, including statistical and geometric aspects; Gromov-Wasserstein distance and its variants; Bayesian inference for/with optimal transport; Gromovization of machine learning methods; Optimal transport-based generative modeling. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, and Liang Zhao. In addition, broad deployment of ML software in networked systems inevitably exposes ML software to attacks. The workshop will include several technical sessions, a virtual poster session where presenters can discuss their work, to further foster collaborations, multiple invited speakers covering crucial aspects for the practical deep learning in the wild, especially the efficient and robust deep learning, some tutorial talks, the challenge for efficient deep learning and solution presentations, and will conclude with a panel discussion. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), 2022. Thank you for all your contributions, our, Paper submission deadline is now extended to. Winter. July 22: The workshop Programis up! 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. 1, 2022: Call For Paper: The Undergraduate Consortium at SIGKDD 2022 is available at, Mar. The goal of the inaugural HC-SSL workshop is to highlight and facilitate discussions in this area and expose the attendees to emerging potentials of SSL for human-centric representation learning, and promote responsible AI within the context of SSL. We expect 60-70 participants. See ICDM Acceptance Rates for more information. 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 ). 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). Please use ACM Conference templates (two column format). Please refer to the KDD 2022 website for the policies of Conflict of Interest, Violations of Originality, and Dual Submission: A Best Paper Award will be presented to the best full paper as voted by the reviewers. Information theory has demonstrated great potential to solve the above challenges. Rather than studying robustness with respect to particular ML algorithms, our approach will be to explore robustness assurance at the system architecture level, during both development and deployment, and within the human-machine teaming context. 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. The challenge requires participants to build competitive models for diverse downstream tasks with limited labeled data and trainable parameters, by reusing self-supervised pre-trained networks. Papers will be peer-reviewed and selected for oral and/or poster presentations 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. An Invertible Graph Diffusion Model for Source Localization. Through invited talks and presentations by the participants, this workshop will bring together current advances in Network Science as well as Machine Learning, and set the stage for continuing interdisciplinary research discussions. 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. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. 1-11, Feb 2016. Sign-regularized multi-task learning. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2014), industrial track, pp. 27, 2022: Please check out Speical Days at, Apr. There is now a great deal of interest in finding better alternatives to this scheme. of London). We will also have a panel discussion on the current and future of GNNs on both research and industry. About 7-8 invited speakers who are distinguished professional in Deep learning on graph will present the frontier research topics. Long papers (up to 6 pages + references) and extended abstracts (2 pages + references) are welcome, including resubmissions of already accepted papers, work-in-progress, and position papers. Distant-supervision of heterogeneous multitask learning for social event forecasting with multilingual indicators. All accepted papers will be archived on the workshop website, but there will not be formal proceedings. Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Accepted submissions will be notified latest by August 7th, 2022. 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. One recommended setting for Latex file is:\documentclass[sigconf, review]{acmart}. Countdowns to conference deadlines in the field of autonomous driving. Long talks (50 mins):Gabriel Peyr, (Mathematics, CNRS Senior Researcher);Yusu Wang, (Mathematics, Professor in CSE, UCSD);Caroline Uhler, (Statistics and CS, Associate Professor in EECS and IDSS, MIT); Short talks (25mins):Titouan Vayer, (Mathematics, Postdoctoral Researcher at ENS Lyon);Tam Le, (Computer Science, Research Scientist at RIKEN);Dixin Luo, (Computer Science, Assistant Professor in CS, Beijing Institute of Technology). The 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Datasets and Benchmarks Track, accepted. KDD 2022. Full papers are allocated 20m presentation and 10m discussion. This proposed workshop will build upon successes and learnings from last years successful AI for Behavior Change workshop, and will focus on on advances in AI and ML that aim to (1) design and target optimal interventions; (2) explore bias and equity in the context of decision-making and (3) exploit datasets in domains spanning mobile health, social media use, electronic health records, college attendance records, fitness apps, etc. [Bests of ICDM], Zheng Zhang and Liang Zhao. The main objective of the workshop is to bring researchers together to discuss ideas, preliminary results, and ongoing research in the field of reinforcement in games. 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/. Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. If you are interested, please send a short email to rl4edorg@gmail.com and we can add you to the invitee list. All papers must be submitted in PDF format, using the AAAI-22 author kit. 2022. Their results will be submitted in either a short paper or poster format. Undergraduate (bachelor's, certificate, etc. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. the 33rd Annual Computer Security Applications Conference (ACSAC 2018), (acceptance rate: 20.1%), San Juan, Puerto Rico, USA, Dec 2018, accepted. Identification of key challenges and opportunities for future research. Papers will be peer-reviewed and selected for oral and/or poster presentation at the workshop. Submissions tackling new problems or more than one of the aforementioned topics simultaneously are encouraged. All submissions will be peer-reviewed. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. 29, no. arXiv preprint arXiv:2207.09542 (2022). In addition, any other work on dialog research is welcome to the general technical track. Advances in complex engineering systems such as manufacturing and materials synthesis increasingly seek artificial intelligence/machine learning (AI/ML) solutions to enhance their design, development, and production processes. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. Neural Networks, (impact factor: 8.05), accepted. Accepted contributions will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), accepted. Submissions are limited to 4 pages, not including references. In decision-making domains as wide-ranging as medication adherence, vaccination uptakes, college enrollment, retirement savings, and energy consumption, behavioral interventions have been shown to encourage people towards making better choices.

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