At least one author of each accepted submission must be present at the workshop. The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. 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. Novel algorithmic solutions to causal inference or discovery problems using information-theoretic tools or assumptions. We encourage all the teams who participated in the challenge to join the workshop. 1-11, Feb 2016. It is difficult to expose false claims before they create a lot of damage. Yuanqi du, George Mason University, USA; Jian Pei, Simon Fraser University, Canada; Charu Aggarwal, IBM Research AI, USA; Philip S. Yu, University of Illinois at Chicago, USA; Xuemin Lin, University of New South Wales, Australia; Jiebo Luo, University of Rochester, USA; Lingfei Wu, JD.Com Silicon Valley Research Center, USA; Yinglong Xia, Facebook AI, USA; Jiliang Tang, Michigan State University, USA; Peng Cui, Tsinghua University, China; William L. Hamilton, McGill University, Canada; Thomas Kipf, University of Amsterdam, Netherlands, Workshop URL:https://deep-learning-graphs.bitbucket.io/dlg-aaai22/. How can we develop solid technical visions and new paradigms about AI Safety? The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. Zheng Zhang and Liang Zhao. An increasing world population, coupled with finite arable land, changing diets, and the growing expense of agricultural inputs, is poised to stretch our agricultural systems to their limits. Innovation, Service, and Rising Star Awards. 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)^. 10 (2014): e110206. Functional Connectivity Prediction with Deep Learning for Graph Transformation. Despite the great success of deep neural networks (DNNs) in many artificial intelligence (AI) tasks, they still suffer from limitations, such as poor generalization behavior for out-of-distribution (OOD) data, vulnerability to adversarial examples, and the black-box nature of DNNs. While there have been extensive independent research threads on the subject of safety and reliability of specific sub-problems in autonomy, such as the problem of robust control, as well as recent considerations of robust AI-based perception, there has been considerably less research on investigating robustness and trust in end-to-end autonomy, where AI-based perception is integrated with planning and control in an open loop. The topics of interest include but are not limited to: Theoretical and Computational Optimal Transport: Optimal Transport-Driven Machine Learning: Optimal Transport-Based Structured Data Modeling: The full-day workshop will start with two long talks and one short talk in the morning. The 19th International Conference on Data Mining (ICDM 2019), long paper, (acceptance rate: 9.08%), Beijing, China. Online Flu Epidemiological Deep Modeling on Yuyang Gao and Liang Zhao. Amitava Das (Wipro AI Labs; amitava.santu@gmail.com), Workshop Chairs: Amitava Das (Wipro AI Labs) [India], Amit Sheth (University of South Carolina) [USA], Tanmoy Chakraborty (IIIT Delhi) [India], Asif Ekbal (IIT Patna) [India], Chaitanya Ahuja (CMU) [USA], Parth Patwa (UCLA) [USA], Parul Chopra (CMU) [USA], Amrit Bhaskar (ASU) [USA], Nethra Gunti (IIIT Sri City) [USA], Sathyanarayanan R. (IIIT Sri City) [India], Shreyash Mishra (IIIT Sri City) [India], S. Suryavardan (IIIT Sri City) [India], Vishal Pallagani (University of South Carolina), Supplemental workshop site:https://aiisc.ai/defactify/. Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. "A Uniform Representation for Trajectory Learning Tasks", 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2017), short paper, DOI=10.1145/3139958.3140017, Redondo Beach, CA, USA, Nov 2017. Atlanta, Georgia, USA . Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sassan, and Jessica Lin. ), Graduate (master's, specialized graduate diploma (DESS), etc. DI-2022 accepted papers will not be archived in the main KDD 2022 proceedings. Although textual data is prevalent in a large amount of finance-related business problems, we also encourage submissions of studies or applications pertinent to finance using other types of unstructured data such as financial transactions, sensors, mobile devices, satellites, social media, etc. Aug 11, 2022: Get early access for registration at L Street Bridge, Washington DC Convention Center, from 4-6 pm, Saturday, August 13. Document structure and layout learning and recognition. Attendance is virtual and open to all. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. In recent years, machine learning techniques (e.g. 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. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. We will also organize 3 shared tasks in this workshop: punctuation restoration, domain adaptation for punctuation restoration, and chitchat detection. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. "Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework",The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), long paper, (acceptance rate: 19.4%), Beijing, China, accepted. Please email to Lingfei Wu: lwu@email.wm.edu for any query. Despite gratifying achievements that have demonstrated the great potential and bright development prospect of introducing AI in education, developing and applying AI technologies to educational practice is fraught with its unique challenges, including, but not limited to, extreme data sparsity, lack of labeled data, and privacy issues. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. "Multi-resolution Spatial Event Forecasting in Social Media." 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. A final tribute was paid on Saturday to former Coalition Avenir Qubec (CAQ) minister Nadine Girault, who died of lung cancer last month at age 63 . ; (2) Deep Learning (DL) approaches that can exploit large datasets, particularly Graph Neural Networks (GNNs) and Deep Reinforcement Learning (DRL); (3) End-to-end learning methodologies that mend the gap between ML model training and downstream optimization problems that use ML predictions as inputs; (4) Datasets and benchmark libraries that enable ML approaches for a particular OR application or challenging combinatorial problems. Invited speakers, panels, poster sessions, and presentations. Are you sure you want to create this branch? Proceedings of the ACM on Human-Computer Interaction (CSCW 2022), to appear, 2022. SL-VAE: Variational Autoencoder for Source Localization in Graph Information Diffusion. 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. How can we make AI-based systems more ethically aligned? 2020. Unsupervised Deep Subgraph Anomaly Detection. 76, pp. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Self-supervised learning (SSL) has shown great promise in problems involving natural language and vision modalities. 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. To push forward the research on acronym understanding in scientific text, we propose two shared tasks on acronym extraction (i.e., recognizing acronyms and phrases in text) and disambiguation (i.e., finding the correct expansion for an ambiguous acronym). 1923-1935, 1 Oct. 2020, doi: 10.1109/TKDE.2019.2912187. ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices. Deep Generation of Heterogeneous Networks. Participants in the hack-a-thon will be asked to either register as a team or be randomly assigned to a team after registration. This workshop will follow a dual-track format. Andrew White, University of RochesterDr. Frontiers in Big Data, accepted, 2021. Dr. Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. Additionally, adversaries continue to develop new attacks. Papers will be peer-reviewed by the Program Committee (2-3 reviewers per paper). 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 . All the workshop chairs, most of the Committees, and the authors of the accepted papers will attend the workshop also. Colin Camerer (California Institute of Technology), Susan Murphy (Harvard University). Accepted submissions will be notified latest by August 7th, 2022. Scientific documents such as research papers, patents, books, or technical reports are one of the most valuable resources of human knowledge. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Declarative languages and differentiable programming. 7, no. in the proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), (acceptance rate: 26%), pp. (Depending on the volume of submissions, we may be able to accommodate only a subset of them.). SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. Ourprevious workshop at AAAI-21generated significant interest from the community. The 39th IEEE International Conference on Data Engineering (ICDE 2023), accepted. It is important to learn how to use AI effectively in these areas in order to be able to motivate and help people to take actions that maximize their welfare. 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. 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. While progress has been impressive, we believe we have just scratched the surface of what is capable, and much work remains to be done in order to truly understand the algorithms and learning processes within these environments. 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. Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. and facilitate discussions and collaborations in developing trustworthy AI methods that are reliable and more acceptable to physicians. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision . Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. Position papers are welcome. SIGKDD Explorations, Vol. Accepted papers will not be archived but will be hosted on the workshop website. All papers must be submitted in PDF format, using the AAAI-22 author kit. : Submissions will go through a double-blind review process. For example, AI tools are built to ease the workload for teachers. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. However, theoreticians and practitioners of AI and Safety are confronted with different levels of safety, different ethical standards and values, and different degrees of liability, that force them to examine a multitude of trade-offs and alternative solutions. 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. ACM Transactions on Spatial Algorithms and Systems (TSAS), 5, 3, Article 19 (September 2019), 28 pages. a fantastic tutorial on SIGKDD'09 by Prof. Eamonn Keogh (UC Riverside). "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. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. In nearly all applications, reliability, safety, and security of such systems is a critical consideration. Because of the time needed to complete the formalities for entering Canada and Quebec, the admission period for international applicants ends several weeks before the session begins. The workshop aims at bridging formalisms for learning and reasoning such as neural and symbolic approaches, probabilistic programming, differentiable programming, Statistical Relation Learning and using non-differentiable optimization in deep models. We have the following keynote speakers confirmed: Andreas Holzinger (Medical Univ. 8 pages), short (max. The review process is double-blind, and we follow the Conflict of Interest Policy for ACM Publications. of Graz), Cynthia Rudin (Duke Univ.) Two types of submissions will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references). Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. Deadlines are shown in America/Los_Angeles time. Information-theoretic approaches provide a novel set of tools that can expand the scope of classical approaches to causal inference and discovery problems in a variety of applications. [Bests of ICDM]. [Best Paper Award]. We will receive the paper on the CMT system. What safety engineering considerations are required to develop safe human-machine interaction? Topics include but not limited to: Large-scale and novel targeting technologies, Fraud, fairness, explainability and privacy, Intelligent assistants in job hunting and hiring automation, Large-scale and high performing data infrastructure, data analysis and tooling, Economics and causal inference in online jobs marketplace, Large-scale analytics of user behaviors in online jobs marketplace. 3434-3440, Melbourne, Australia, Aug 2017. In light of these issues, and the ever-increasing pervasiveness of AI in the real world, we seek to provide a focused venue for academic and industry researchers and practitioners to discuss research challenges and solutions associated with building AI systems under data scarcity and/or bias. 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. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. Thirty-First AAAI Conference on Artificial Intelligence, pp. The main goal of the dialog system technology challenge (DSTC) workshop is to share the result of five main tracks of the tenth dialog system technology challenge (DSTC10). Panel discussion: Interactive Q&A session with a panel of leading researchers. We invite thought-provoking submissions and talks on a range of topics in these fields. in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. The first achievements in playing these games at super-human level were attained with methods that relied on and exploited domain expertise that was designed manually (e.g. Authors are strongly encouraged to make data and code publicly available whenever possible. The excellent papers will be recommended for publications in SCI or EI journals. We have invited several distinguished speakers with their research interests spanning from the theoretical to experimental aspects of complex networks. And considering robustness, input data with noises frequently occur in open-world scenarios, which presents critical challenges for the building of robust AI systems in practice. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. SIGMOD 2022 adheres to the ACM Policy Against Harassment. Precision agriculture and farm management, Development of open-source software, libraries, annotation tools, or benchmark datasets, Bias/equity in algorithmic decision-making, AI for ITS time-series and spatio-temporal data analyses, AI for the applications of transportation, Applications and techniques in image recognition based on AI techniques for ITS, Applications and techniques in autonomous cars and ships based on AI techniques. This workshop aims to bring together researchers from industry and academia and from different disciplines in AI and surrounding areas to explore challenges and innovations in IML. and Simone Stumpf (Univ. The submissions need to be anonymized. Please specify the length of the workshop (1-day, 1.5-day, 2-day, or half-day. Application-specific designs for explainable AI, e.g., healthcare, autonomous driving, etc. IEEE Computer (impact factor: 3.564), vo. Methods for learning network architecture during training, including Incrementally building neural networks during training, new performance benchmarks for the above. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. Submissions of technical papers can be up to 7 pages excluding references and appendices. Fine tuning a neural network is very time consuming and far from optimal. Accepted submissions will be notified latest by August 7th, 2022. Molecules, (impact factor: 4.411), accepted. Some of the key questions to be explored include: The workshop will take place in person and will span over one day. It will include multiple keynote speakers, invited talks, a panel discussion, and two poster sessions for the accepted papers. Paper Submission Deadline: May 26, 2022 Author Notification: June 20, 2022 Camera Ready: July 9, 2022 Workshop: August . In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 2020. LOG 2022 LOG '22 . Our goal is to build a stronger community of researchers exploring these methods, and to find synergies among these related approaches and alternatives. 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. An example of the latter is theCascade Correlation algorithm, as well as others that incrementally build or modify a neural network during training, as needed for the problem at hand. 2, no. 40 attendees including: invited speakers, authors of accepted papers and shared task participants. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Advances in IML promise to make AIs more accessible and controllable, more compatible with the values of their human partners and more trustworthy. Our intent is to facilitate new AI/ML advances for core engineering design, simulation, and manufacturing. The workshop page ishttps://sites.google.com/view/aaaiwfs2022, and it will include the most up-to-date information, including the exact schedule. How can we engineer trustable AI software architectures? The AAAI author kit can be downloaded from:https://www.aaai.org/Publications/Templates/AuthorKit22.zip. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Tips for Doing Good DM Research & Get it Published! Xiaojie Guo, Yuanqi Du, Liang Zhao. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. text, images, and videos). ITCI22 will be a one-day workshop. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). Application fees are not refundable. [Best Paper Award Shortlist]. We welcome submissions of long (max. We allow both short (2-4 pages) and long papers (6-8 pages) papers. 4. Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. Ferdinando Fioretto (Syracuse University), Emma Frejinger (Universit de Montral), Elias B. Khalil (University of Toronto), Pashootan Vaezipoor (University of Toronto). Dialog systems and related technologies, including natural language processing, audio and speech processing, and vision information processing. This cookie is set by GDPR Cookie Consent plugin. Keynotes and invited talks: Several keynotes and invited talks by leading researchers in the area will be presented. Xiaosheng Li, Jessica Lin, Liang Zhao. Integration of Deep Learning and Relational Learning. There is increasing evidence that enabling AI technology has the potential to aid in the aforementioned paradigm shift. Papers must be between 4-8 pages in the AAAI submission format, with the eighth page containing only references. Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo, and Liang Zhao. Kyoto . The aim of this workshop is to focus on both original research and review articles on various disciplines of ITS applications, including particularly AI techniques for ITS time-series data analyses, ITS spatio-temporal data analyses, advanced traffic management systems, advanced traveler information systems, commercial vehicle operation systems, advanced vehicle control and safety systems, advanced public transportation services, advanced information management services, etc. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities. It leverages many emerging privacy-preserving technologies (SMC, Homomorphic Encryption, differential privacy, etc.) Guangji Bai and Liang Zhao. Ting Hua, Chandan Reddy, Lijing Wang, Liang Zhao, Lei Zhang, Chang-Tien Lu, and Naren Ramakrishnan.