We are interested in a broad range of topics, both foundational and applied. Big Data 2022 December 13-16, 2022. . We invite submission of papers describing innovative research on all aspects of knowledge discovery and data science, ranging from theoretical foundations to novel models and algorithms for data science problems in science, business, medicine, and engineering. Viliam Lisy (Czech Technical University in Prague, viliam.lisy@fel.cvut.cz), Noam Brown (Facebook AI Research, noambrown@fb.com), Martin Schmid (DeepMind, mschmid@google.com), Supplemental Workshop site:http://aaai-rlg.mlanctot.info/. Adaptive Kernel Graph Neural Network. a fantastic tutorial on SIGKDD'09 by Prof. Eamonn Keogh (UC Riverside). This workshop starts with acknowledging the fundamental challenges of robustness and adaptiveness in financial services modeling and explores systematic solutions to solve these underlying problems to prevent future failures. 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. Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. The 21st IEEE International Conference on Data Mining (ICDM 2021), (Acceptance Rate: 9.9%), accepted. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. We send a public call and we assume the workshop will be of interest to many AAAI main conference audiences; we expect 50 participants. We allow both short (2-4 pages) and long papers (6-8 pages) papers. July 21: Clarified that the workshop this year will be held in-person. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu. 76, pp. Neil T. Heffernan, Worcester Polytechnic Institute (Worcester, MA, USA), Andrew S. Lan, University of Massachusetts Amherst (Amherst, MA, USA), Anna N. Rafferty, Carleton College (Northfield, MN, USA), Adish Singla, Max Planck Institute for Software Systems (Saarbrucken, Germany). Identification of key challenges and opportunities for future research. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022), poster track, to appear, 2022. 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. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references.
CFP - EasyChair Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao.
Data-driven Humanitarian Mapping and Policymaking Research How can we engineer trustable AI software architectures? of London). December 2020, July 21: Clarified that the workshop this year will be held, June 20: Paper notification is now extended to, Paper reviews are underway! Deep Graph Spectral Evolution Networks for Graph Topological Evolution. 2999-3006, New Orleans, US, Feb 2018. Brave new ideas to learn AI models under bias and scarcity. We invite submissions of technical papers up to 7 pages excluding references and appendices. Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic. 2022. Moreover, the operational context in which AI systems are deployed necessitates consideration of robustness and its relation to principles of fairness, privacy, and explainability. Dr. Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers. Incomplete Label Multi-task Deep Learning for Spatio-temporal Event Subtype Forecasting.Thirty-third AAAI Conference on Artificial Intelligence (AAAI 2019), (acceptance rate: 16.2%), Hawaii, USA, Feb 2019, accepted. Reasons include: (1) a lack of certification of AI for security, (2) a lack of formal study of the implications of practical constraints (e.g., power, memory, storage) for AI systems in the cyber domain, (3) known vulnerabilities such as evasion, poisoning attacks, (4) lack of meaningful explanations for security analysts, and (5) lack of analyst trust in AI solutions. Integration of neuro and symbolic approaches. Accepted papers are likely to be archived. Important Dates. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. 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. Whats more, various AI based models are trained on massive student behavioral and exercise data to have the ability to take note of a students strengths and weaknesses, identifying where they may be struggling. CVPR 11 deadline . For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. A message will appear on your application form if there is a risk that the time required to process the application and to send the answer, in addition to the time you will need to acquire study permits, will be too long for you to arrive for the beginning of the session. Examples of the datasets which may be considered are the DBTex Radiology Mammogram dataset and the Johns Hopkins COVID-19 case reports. 25-50 attendees including invited speakers and accepted papers. 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. Consult the list of programs available in the next session. a concise checklist by Prof. Eamonn Keogh (UC Riverside). Games provide an abstract and formal model of environments in which multiple agents interact: each player has a well-defined goal and rules to describe the effects of interactions among the players. Federated learning (FL) is one promising machine learning approach that trains a collective machine learning model using sharing data owned by various parties. Workshop URL:https://rail.fzu.edu.cn/info/1014/1064.htm, Prof. Chi-Hua ChenEmail: chihua0826@gmail.comPostal address: No.2, Xueyuan Rd., Fuzhou, Fujian, ChinaTelephone: +86-18359183858. This year the AICS emphasis will be on practical considerations in the real world when deploying AI systems for security with a special focus on convergence of AI and cyber-security in the biomedical field. DI@KDD2022 Call for Papers Organization Program Keynote Talk Accepted Papers Call for Papers Document Intelligence Workshop @ KDD 2022 UPDATES August 6: Final versions of the papersare posted!
KDD 2022 | Washington DC, U.S. We encourage all the teams who participated in the challenge to join the workshop.
RecSys 2022 - Important Dates - RecSys This workshop wants to emphasize on the importance of integrative paradigms for solving the new wave of AI applications. DB transactions) to unstructured data (e.g. Negar Etemadyrad, Qingzhe Li, Liang Zhao. Multi-objective Deep Data Generation with Correlated Property Control. The AAAI Workshop on Machine Learning for Operations Research (ML4OR) builds on the momentum that has been directed over the past 5 years, in both the OR and ML communities, towards establishing modern ML methods as a first-class citizen at all levels of the OR toolkit. Make sure your desired study programs are open for admission in the session when you would like to start your studies. Submission instructions will be available at the workshop web page. Rupinder Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik Smith, Christopher Adams and Naren Ramakrishnan. In addition, broad deployment of ML software in networked systems inevitably exposes ML software to attacks. [Best Poster Runner-Up Award]. 2022. We invite thought-provoking submissions and talks on a range of topics in these fields. Qingzhe Li, Jessica Lin, Liang Zhao and Huzefa Rangwala. Yuyang Gao, Tanmoy Chowdhury (co-first author), Lingfei Wu, Liang Zhao. We are soliciting submissions of short papers in PDF format and formatted according to the Standard ACM Conference Proceedings Template. However, these real-world applications typically translate to problem domains where it is extremely challenging to even obtain raw data, let alone annotated data. The academic session will focus on most recent research developments on GNNs in various application domains. Proceedings of the IEEE (impact factor: 9.237), vol. Submission Site: See the webpagehttps://sites.google.com/view/gclr2022/submissions; for detailed instructions and submission link. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. ACM Transactions on Spatial Algorithms and Systems (TSAS), 5, 3, Article 19 (September 2019), 28 pages. We will also have a video component for remote participation. chess, checkers). The papers have to be submitted through EasyChair.
AI Conference Deadlines Some of the key questions to be explored include: The workshop will take place in person and will span over one day. DOI:https://doi.org/10.1145/3339823. All the submissions should be anonymous. How do metrics of capability and generality, and the trade-offs with performance affect safety? By registering, you agree to receive emails from UdeM. The program of the workshop will include invited talks, paper presentations and a panel discussion. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. 2, no. Analytical cookies are used to understand how visitors interact with the website. The submitted contributions will be peer-reviewed by the Program Committee, and preference will be given to high-quality original and relevant work to the Document Intelligence topics. NOTE: Mandatory abstract deadline: 2022-08-08 Deadline: AAAI 157. 2022. Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. Babies learn their first language through listening, talking, and interacting with adults. Ranking, acceptance rate, deadline, and publication tips. The cookie is used to store the user consent for the cookies in the category "Analytics". I recommend highly motivated students to reach out to me way earlier than the admission deadline, and figure out a research project project with me, with the goal of a publication. Functional Connectivity Prediction with Deep Learning for Graph Transformation. As for the Kraken, they made one trade a month ago to acquire a seventh defenceman, Jaycob Megna and did nothing else (from 'Kraken remain quiet as NHL trade deadline passes,' The Seattle . The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng and Liang Zhao. iCal Outlook robotics IEEE, 2014. We cordially welcome researchers, practitioners, and students from academia and industry who are interested in understanding and discussing how data scarcity and bias can be addressed in AI to participate. Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, and Yanfang Ye. For authors who do not wish their papers to be posted online, please mention this in the workshop submission.
Using a social media account will simply make the application process easier: none of your activities on this site will be posted to your profile. Declarative languages and differentiable programming. Andy Doyle, Graham Katz, Kristen Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. Interactive Machine Learning (IML) is concerned with the development of algorithms for enabling machines to cooperate with human agents. Positive applications of adversarial ML, i.e., adversarial for good. Semantic understanding of business documents. Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan. 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/. 1, 2022: Call For Paper: The Undergraduate Consortium at SIGKDD 2022 is available at, Mar. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. 22, Issue 2. Submit to:https://easychair.org/conferences/?conf=imlaaai22, Elizabeth DalyAddress: IBM Dublin Technology Campus, Dublin 15, IrelandEmail: elizabeth.daly@ie.ibm.com, Elizabeth Daly, IBM Research, Ireland (elizabeth.daly@ie.ibm.com), znur Alkan, IBM Research, Ireland (oalkan2@ie.ibm.com), Stefano Teso, University of Trento, Italy (stefano.teso@unitn.it), Wolfgang Stammer, TU Darmstadt, Germany (wolfgang.stammer@cs.tu-darmstadt.de), Workshop URL:https://sites.google.com/view/aaai22-imlw. At least one author of each accepted submission must be present at the workshop. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. anomaly detection, and ensemble learning. Pengtao Xie (main contact), Assistant Professor, University of California, San Diego, pengtaoxie2008@gmail.com Engineer Ln, San Diego, CA 92161 (Tel)4123206230, Marinka Zitnik, Assistant Professor, Harvard University, marinka@hms.harvard.edu 10 Shattuck Street, Boston, MA 02115 (Tel)6503086763, Byron Wallace, Assistant Professor, Northeastern University, byron@ccs.neu.edu 177 Huntington Ave, Boston, MA 02115 (Tel)4135120352, Eric P. Xing, Professor, Carnegie Mellon University, epxing@cs.cmu.edu 5000 Forbes Ave, Pittsburgh, PA 15213 (Tel)4122682559, Ramtin Hosseini, PhD Student, University of California, San Diego, rhossein@eng.ucsd.edu (Tel) 3104293825, Ethics and fairness in autonomous systems, Robust robotic design, particularly of autonomous drones and/or vehicles. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. SDU accepts both long (8 pages including references) and short (4 pages including references) papers. At least one author of each accepted submission must present the paper at the workshop. [Bests of ICDM]. 11, 2022: We have posted the list of accepted Workshops at, Apr. A tag already exists with the provided branch name. "SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning." The submissions need to be anonymized. Long Beach, California, USA . Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Three specific roles are part of this format: session chairs, presenters and paper discussants. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. 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. Deep learning and statistical methods for data mining. Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. Each accepted paper presentation will be allocated between 15 and 20 minutes. The trained models are intended to assign scores to novel utterances, assessing whether they are possible or likely utterances in the training language. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 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. In recent years, we have seen examples of general approaches that learn to play these games via self-play reinforcement learning (RL), as first demonstrated in Backgammon. IEEE Transactions on Information Forensics and Security (TIFS), (impact factor: 7.178), accepted. There will be live Q&A sessions at the end of each talk and oral presentation. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. We encourage long papers, short papers and demo papers. Large-scale Cost-aware Classification Using Feature Computational Dependency Graph. However, the use of rich data sets also raises significant privacy concerns: They often reveal personal sensitive information that can be exploited, without the knowledge and/or consent of the involved individuals, for various purposes including monitoring, discrimination, and illegal activities. 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. Apr 25th through Fri the 29th, 2022. . Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina Abad. This date takes priority over those shown below and could be extended for some programs. Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, and Naren Ramakrishnan. a tutorial on how to structure data mining papers by Prof. Xindong Wu (University of Louisiana at Lafayette). Countdowns to conference deadlines in the field of autonomous driving. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Dinakarrao. Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
Call for Papers Document Intelligence Workshop @ KDD 2022 Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. While original contributions are preferred, we also invite submissions of high-quality work that has recently been published in other venues or is concurrently submitted. Submissions will undergo double blind review. 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. The workshop invites contribution to novel methods, innovations, applications, and broader implications of SSL for processing human-related data, including (but not limited to): In addition to the above, papers that consider the following are also invited: Manuscripts that fit only certain aspects of the workshop are also invited. Zirui Xu, Fuxun Xu, Liang Zhao, and Xiang Chen.
KDD: Knowledge Discovery and Data Mining 2024 2023 2022 - WikiCFP SIGMOD 2022 adheres to the ACM Policy Against Harassment. . Nonetheless, human-centric problems (such as activity recognition, pose estimation, affective computing, BCI, health analytics, and others) rely on information modalities with specific spatiotemporal properties. IBM Research, 2018. 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. We will also select some of the best posters for spotlight talks (2 minutes each). Please submit the papers and system reports toEasyChair, Thien Huu Nguyen (University of Oregon, thien@cs.uoregon.edu), Walter Chang (Adobe Research, wachang@adobe.com), Amir Pouran Ben Veyseh (University of Oregon, apouranb@uoregon.edu), Viet Dac Lai (University of Oregon, viet@uoregon.edu), Franck Dernoncourt (Adobe Research, franck.dernoncourt@adobe.com), Workshop URL:https://sites.google.com/view/sdu-aaai22/home. Atlanta, Georgia, USA .
The 2023 ACM SIGMOD/PODS Conference: Seattle, Washington, USA - Welcome 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. ACM, New York, NY, USA, 10 pages. Comparison or integration of self-supervised learning methods and other semi-supervised and transfer learning methods in speech and audio processing tasks. 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. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. Full papers are allocated 20m presentation and 10m discussion. These models can also generate instant feedback to instructors and help them to improve their teaching effectiveness. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. Tips for Doing Good DM Research & Get it Published! Proposals of technical talk (up to one-page abstract including short Bio of the main speaker).
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