Topics of interest include but are not limited to: Acronyms, i.e., short forms of long phrases, are common in scientific writing. Online marketplaces exist in a diverse set of domains and industries, for example, rideshare (Lyft, DiDi, Uber), house rental (Airbnb), real estate (Beke), online retail (Amazon, Ebay), job search (LinkedIn, Indeed.com, CareerBuilder), and food ordering and delivery (Doordash, Meituan). Babies learn their first language through listening, talking, and interacting with adults. We will end the workshop with a panel discussion by invited speakers from different fields to enlist future directions. Attendance is expected to be 150-200 participants (estimated), including organizers and speakers. Although machine learning (ML) approaches have demonstrated impressive performance on various applications and made significant progress for AI, the potential vulnerabilities of ML models to malicious attacks (e.g., adversarial/poisoning attacks) have raised severe concerns in safety-critical applications. At least one author of each accepted submission must present the paper at the workshop. Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. All submissions must be anonymous and conform to AAAI standard for double-blind review. 2022. Note: Mandatory abstract deadline on May 16, 2022 Deadline: ISMIR 2022 ISMIR '22 ​ . Yuyang Gao, Giorgio Ascoli, Liang Zhao. Multilingual document understanding methods and frameworks. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. We invite the submission of papers with 4-6 pages. Cleansing and image enhancement techniques for scanned documents. . We welcome the submissions in the following two formats: The submissions should adhere to theAAAI paper guidelines. 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. AI is one of these transformative technologies that is now achieving great successes in various real-world applications and making our life more convenient and safer. Finally, the workshop will welcome papers that describe the release of privacy-preserving benchmarks and data sets that can be used by the community to solve fundamental problems of interest, including in machine learning and optimization for health systems and urban networks, to mention but a few examples. Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. Geoinformatica, (impact factor: 2.392), Volume 20, Issue 4, pp 765-795, Oct 2016. 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. The program consists of poster sessions for accepted papers, and invited and spotlight talks. Encore track papers that have been recently published, or accepted for publication in a conference or journal. "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. 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. Short or position papers of up to 4 pages are also welcome. "Controllable Data Generation by Deep Learning: A Review." Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 32, no. August 14-18, 2022. How to do good research, Get it published in SIGKDD and get it cited! The current research in this area is focused on extending existing ML algorithms as well as network science measures to these complex structures. Continuous V&V and predictability of AI safety properties, Runtime monitoring and (self-)adaptation of AI safety, Accountability, responsibility and liability of AI-based systems, Avoiding negative side effects in AI-based systems, Role and effectiveness of oversight: corrigibility and interruptibility, Loss of values and the catastrophic forgetting problem, Confidence, self-esteem and the distributional shift problem, Safety of AGI systems and the role of generality, Self-explanation, self-criticism and the transparency problem, Regulating AI-based systems: safety standards and certification, Human-in-the-loop and the scalable oversight problem, Experiences in AI-based safety-critical systems, including industrial processes, health, automotive systems, robotics, critical infrastructures, among others. Online . 17th International Workshop on Mining and Learning with Graphs. "Automatic Targeted-Domain Spatiotemporal Event Detection in Twitter." 2022. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. The paper submissions must be in pdf format and use the AAAI official templates. 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). The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. 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 . "A Topic-focused Trust Model for Twitter." The workshop plans to invite about 50-75 participants. Each paper will be reviewed by three reviewers in double-blind. Junxiang Wang and Liang Zhao. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. May 8, 2022: Student Travel Awards announcement is, Apr. Liyan Xu, Xuchao Zhang, Zong Bo, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho Choi. Adverse event detection by integrating Twitter data and VAERS. We will accept the extended abstracts of the relevant and recently published work too. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo, and Liang Zhao. 14, 2022: The information of Keynote Speakers is available at, Apr. It is also central for tackling decision-making problems such as reinforcement learning, policy or experimental design. Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao. Undergraduate (bachelor's, certificate, etc. Prof. Max Welling, University of Amsterdam and Microsoft ResearchProf. In Proceedings of the IEEE International Conference on Big Data (BigData 2014), pp. 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. Attendance is open to all, subject to any room occupancy constraints. in Proceedings of the SIAM International Conference on Data Mining (SDM 2015), (acceptance rate: 22%), Vancouver, BC, pp. Use Compass, the interactive checklist designed exclusively for the Universit de Montral, to carefully prepare your application and to avoid common pitfalls along the way. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, and Liang Zhao. The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. 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. 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. Generative Deep Learning for Macromolecular Structure and Dynamics, Current Opinion in Structural Biology, (impact factor: 7.108), Section on Theory and Simulation/Computational Methods 67: 170-177, 2021 accepted. The submission website ishttps://cmt3.research.microsoft.com/TAIH2022. 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. System reports will be presented during poster sessions. Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.27th International 2022. PLOS ONE (impact factor: 3.534), vo. Washington DC, USA. The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering Safety as a design principle rather than an option. The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Even in cases where one is able to collect data, there are inherently many kinds of biases in this process, leading to biased models. iDetective: An Intelligent System for Automatic Identification of Key Actors in Online Hack Forums. 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 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. Interpretable Molecular Graph Generation via Monotonic Constraints. Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao. Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena et al. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. At least three research trends are informing insights in this field. "Robust Regression via Heuristic Hard Thresholding". Andy Doyle, Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur. Negar Etemadyrad, Qingzhe Li, Liang Zhao. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. Attendance is open to all; at least one author of each accepted submission must be physically/virtually present at the workshop. "GA-based principal component selection for production performance estimation in mineral processing." ACM Transactions on Spatial Algorithms and Systems (TSAS), 5, 3, Article 19 (September 2019), 28 pages. Proceedings of the IEEE (impact factor: 9.237), vol. Given the ever-increasing role of the World Wide Web as a source of information in many domains including healthcare, accessing, managing, and analyzing its content has brought new opportunities and challenges. Topics of interest in the biomedical space include: Topics of general interest to cyber-security include: Submission site:https://easychair.org/conferences/?conf=aics22, Tamara Broderick (MIT CSAIL, tamarab@mit.edu), James Holt (Laboratory for Physical Sciences, USA, holt@lps.umd.edu), Edward Raff (Booz Allen Hamilton, USA, Raff_Edward@bah.com), Ahmad Ridley (National Security Agency), Dennis Ross (MIT Lincoln Laboratory, USA, dennis.ross@ll.mit.edu), Arunesh Sinha (Singapore Management University, Singapore, aruneshs@smu.edu.sg), Diane Staheli (MIT Lincoln Laboratory, USA, diane.staheli@ll.mit.edu), William W. Streilein (MIT Lincoln Laboratory, USA, wws@ll.mit.edu), Milind Tambe (Harvard University, USA, milind_tambe@harvard.edu), Yevgeniy Vorobeychik (Washington University in Saint Louis, USA, eug.vorobey@gmail.com) Allan Wollaber (MIT Lincoln Laboratory, USA, Allan.Wollaber@ll.mit.edu), Supplemental workshop site:http://aics.site/. 9, no. ", ACM Transactions on Spatial Algorithms and Systems (TSAS), (Acceptance Rate: 11%), Volume 2 Issue 4, Acticle No. The cookies is used to store the user consent for the cookies in the category "Necessary". In this workshop, we aim to address the trustworthy issues of clinical AI solutions. We are excited to continue promoting innovation in self-supervision for the speech/audio processing fields and inspiring the fields to contribute to the general machine learning community. Fine tuning a neural network is very time consuming and far from optimal. Taking the pulse of COVID-19: a spatiotemporal perspective. Submission instructions will be available at the workshop web page. Workshops are one day unless otherwise noted in the individual descriptions. Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. 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. 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. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). 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. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. The bottleneck to discovery is now our ability to analyze and make sense of heterogeneous, noisy, streaming, and often massive datasets. Computer Communications, (impact factor: 3.34), Elsevier, vo. The role of adjacent fields of study (e.g, computational social science) in mitigating issues of bias and trust in AI. Xiaosheng Li, Jessica Lin, and Liang Zhao. ISPRS International Journal of Geo-Information (IJGI), (impact factor: 1.502), 5.10 (2016): 193. Researchers from related fields are invited to submit papers on the recent advances, resources, tools, and upcoming challenges for SDU. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. Prediction-time Efficient Classification Using Feature Computational Dependencies. information bottleneck principle). 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. Estimate of the audience size: 400-500 attendees (based on the number of attendees in previous DLG workshops in KDD19, AAAI20, KDD20 and AAAI21). The post-lunch session will feature a second keynote talk, two invited talks. Dazhou Yu, Guangji Bai, Yun Li, and Liang Zhao. Track 1 covers the issues and algorithms pertinent to general online marketplaces as well as specific problems and applications arising from those diverse domains, such as ridesharing, online retail, food delivery, house rental, real estate, and more. and deep learning techniques (e.g. The positive/negative social impacts and ethical issues related to adversarial ML. ICLR 2022 Meeting Dates The Tenth annual conference is held Mon. Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. This cookie is set by GDPR Cookie Consent plugin. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. A Systematic Survey on Deep Generative Models for Graph Generation. Benchmarks to reliably evaluate attacks/defenses and measure the real progress of the field. We consider submissions that havent been published in any peer-reviewed venue (except those under review). Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. Dynamic Tracking and Relative Ranking of Airport Threats from News and Social Media. We are interested in a broad range of topics, both foundational and applied. Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc. Big Data 2022 December 13-16, 2022. Moreover, to tackle and overcome several issues in personalized healthcare, information technology will need to evolve to improve communication, collaboration, and teamwork among patients, their families, healthcare communities, and care teams involving practitioners from different fields and specialties. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. Finally, there is an increasing interest in AI in moving beyond traditional supervised learning approaches towards learning causal models, which can support the identification of targeted behavioral interventions. 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. The consideration and experience of adversarial ML from industry and policy making. Attendance is open to all. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. Send this CFP to us by mail: cfp@ourglocal.org. Rupinder Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik Smith, Christopher Adams and Naren Ramakrishnan. Xuchao Zhang, Liang Zhao, Arnold Boedihardjo, Chang-Tien Lu, and Naren Ramakrishnan. VDS@VIS Submission Deadline:Thur., July 14th, 2022, 5:00 pm PDT, VDS@VIS Author Notification:Thur., August 25th, 2022, 5:00 pm PDT, VDS@KDD Submission Deadline:Thur., May 26th June 2nd, 2022, 5:00 pm PDT, VDS@KDD Author Notification:Mon., June 20th, 2022, 5:00 pm PDT. Spatial Event Forecasting in Social Media with Geographically Hierarchical Regularization. The eligibility criteria for attending the workshop will be registration in the conference/workshop as per AAAI norms. Participation of researchers from a wide variety of areas is encouraged, including Data Science, Machine Learning, Symbolic AI, Mathematical programming, Constraint Optimization, Reinforcement Learning, Dynamic control and Operations Research. 2022. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. Submit to: Papers are required to submit to:https://easychair.org/conferences/?conf=dlg22. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. Knowledge representation for business documents. For previous workshops held physically, each workshop attracts around 150~300 participants. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. How can we engineer trustable AI software architectures? 4 (2014): 185-195. Can AI achieve the same goal without much low-level supervision? Virtual . In other words, many existing FL solutions are still exposed to various security and privacy threats. The submissions must be in PDF format, written in English, and formatted according to the AAAI camera-ready style. 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. 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. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. [Best Paper Award]. In some programs, spots may be available after the deadlines. 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. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. You can optionally export all deadlines to Google Calendar or .ics . Question answering on business documents. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), short paper (acceptance rate: 19.9%), Singapore, Dec 2018, accepted. Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. Call for Participation The 3rd KDD Workshop on Data-driven Humanitarian Mapping and Policymaking solicits research papers, case studies, vision papers, software demos, and extended abstracts. There is now a great deal of interest in finding better alternatives to this scheme. Submissions introducing interesting experimental phenomena and open problems of optimal transport and structured data modeling are welcome as well. The IEEE International Conference on Data Mining (ICDM 2022), full paper, (Acceptance Rate: 9.77%), to appear, 2022. IEEE Transactions on Knowledge and Data Engineering (TKDE), (impact factor: 6.977), vol. The aim of the hack-a-thon is not only to foster innovation and potentially provide answers to outstanding research problems, but rather to engage the community and create new collaborations. Hyperparameters such as the number of layers, the number of nodes in each layer, the pattern of connectivity, and the presence and placement of elements such as memory cells, recurrent connections, and convolutional elements are all manually selected. Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad. 11, 2022: We have posted the list of accepted Workshops at, Apr. RES: A Robust Framework for Guiding Visual Explanation. 689-698, Barcelona, Spain, Dec 2016. Attendance is open to any interested participants at AAAI-22. Accepted submissions will have the option of being posted online on the workshop website. Full (8 pages) and short (4 pages, work in progress) papers, AAAI style. Our intent is to facilitate new AI/ML advances for core engineering design, simulation, and manufacturing. The workshop will be a one-day meeting and will include a number of technical sessions, a virtual poster session where presenters can discuss their work, with the aim of further fostering collaborations, multiple invited speakers covering crucial challenges for the field of privacy-preserving AI applications, including policy and societal impacts, a tutorial talk, and will conclude with a panel discussion. Consult the list of programs available in the next session. All the workshop chairs, most of the Committees, and the authors of the accepted papers will attend the workshop also. "How events unfold: spatiotemporal mining in social media." It is one of the key bottlenecks for financial services companies to improve their operating productivity. Integration of probabilistic inference in training deep models. Please note that foreign students must allow for 3 to 6 months to complete all the formalities required to study in Canada. 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.
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