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in Proceedings of the 24st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), research track (acceptance rate: 18.4%), London, United Kingdom, Aug 2018, accepted. Yuyang Gao, Tong Sun, Sungsoo Hong, and Liang Zhao. At the same time, multimodal hate-speech detection is an important problem but has not received much attention. We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. 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. The 19th International Conference on Data Mining (ICDM 2019), short paper, (acceptance rate: 18.05%), Beijing, China, accepted. This 1-day workshop will include a mixture of invited speakers, panels (including discussion with the audience), and presentations from authors of accepted submissions. Papers will be peer-reviewed and selected for spotlight and/or poster presentation. Deadlines are shown in America/Los_Angeles time. ISPRS International Journal of Geo-Information (IJGI), (impact factor: 1.502), 5.10 (2016): 193. 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. Please note that the KDD Cup workshop will haveno proceedingsand the authors retainfull rightsto submit or post the paper at any other venue. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. 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. Following this AAAI conference submission policy, reviews are double-blind, and author names and affiliations should NOT be listed. It leverages many emerging privacy-preserving technologies (SMC, Homomorphic Encryption, differential privacy, etc.) Zheng Zhang and Liang Zhao. Xiaojie Guo, Yuanqi Du, Liang Zhao. The 30th International World Wide Web Conference, the Web Conference (WWW 2021), (acceptance rate: 20.6%), accepted. Linguistic analysis of business documents. IEEE Transactions on Knowledge and Data Engineerings (TKDE), (impact factor: 6.977), accepted. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Conference Series : Knowledge Discovery and Data Mining Link: https://kdd.org/kdd2022/ Call For Papers [Empty] Related Resources KDD 2023 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING The availability of massive amounts of data, coupled with high-performance cloud computing platforms, has driven significant progress in artificial intelligence and, in particular, machine learning and optimization. Xiaojie Guo, Yuanqi Du, Liang Zhao. Please note as per the KDD Call for Workshop Proposals: Note: Workshop papers will not be archived in the ACM Digital Library. Papers must be in PDF format, in English, and formatted according to the AAAI template. For authors who do not wish their papers to be posted online, please mention this in the workshop submission. We especially welcome research from fields including but not limited to AI, human-computer interaction, human-robot interaction, cognitive science, human factors, and philosophy. Attendance is virtual and open to all. 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. and deep learning techniques (e.g. Two types of submissions will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references). The workshop plans to invite about 50-75 participants. Any participant who experiences unacceptable behavior may contact any current member of the SIGMOD Executive Committee, the PODS Executive Committee, DBCares, or this year's D&I co-chairs Pnar Tzn ([email protected]) and Renata Borovica-Gajic ([email protected]). RecSys 2022 - Important Dates - RecSys 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. TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. The first AAAI Workshop on AI for Design and Manufacturing, ADAM, aims to bring together researchers from core AI/ML, design, manufacturing, scientific computing, and geometric modeling. A striking feature of much of this recent work is the application of new theoretical and computational techniques for comparing probability distributions defined on spaces with complex structures, such as graphs, Riemannian manifolds and more general metric spaces. We aim to bring together researchers in AI, healthcare, medicine, NLP, social science, etc. 76, pp. Programming Languages, Domain specific languages, Libraries and software tools for integration of various learning and reasoning paradigms. IEEE, 2014. Authors are invited to send a contribution in the AAAI-22 proceedings format. We will include a panel discussion to close the workshop, in which the audience can ask follow up questions and to identify the key AI challenges to push the frontiers in Chemistry. Feature Constrained Multi-Task Learnings for Event Forecasting in Social Media." Chen Ling, Carl Yang, and Liang Zhao. Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Modeling Health Stage Development of Patients with Dynamic Attributed Graphs in Online Health Communities. Highlights: Government day with NSF, NIH, DARPA, NIST, and IARPA Local industries in the DC Metro Area, including the Amazon's second headquarter New initiatives at KDD 2022: undergraduate research and poster session Early career research day with postdoctoral scholars and assistant professors in a mentoring workshop and panel Workshops and hands-on tutorials on emerging topics For example: The workshop will be a 1-day event with a number of invited talks by prominent researchers, a panel discussion, and a combination of oral and poster presentations of accepted papers. Interpretable Deep Graph Generation with Node-edge Codisentanglement. The deadline for the submissions is July 31st, 2022 11.59 PM (Anywhere on Earth time). The main research questions and topics of interest include, but are not limited to: This will be a one day workshop, including four invited speakers, one panel session, a number of oral presentations of the accepted long papers and two poster sessions for all accepted papers including short and long. Some of the key questions to be explored include: The workshop will take place in person and will span over one day. All questions about submissions should be emailed to [email protected], AmazonKDDCup2022: KDD Cup 2022 Workshop: ESCI Challenge for Improving Product Search, Washington DC, DC, United States, August 17, 2022, https://easychair.org/conferences/?conf=amazonkddcup2022, https://www.acm.org/publications/proceedings-template. AAAI, specifically, is a great venue for our workshop because its audience spans many ML and AI communities. However, research in the AI field also shows that their performance in the wild is far from practical due to the lack of model efficiency and robustness towards open-world data and scenarios. CFP - EasyChair We hope this will help bring the communities of data mining and visualization more closely connected. ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Babies learn their first language through listening, talking, and interacting with adults. Optimal transport-based analysis of structured data, such as networks, meshes, sequences, and so on; The applications of optimal transport in molecule analysis, network analysis, natural language processing, computer vision, and bioinformatics. We encourage all the teams who participated in the challenge to join the workshop. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. Neurocomputing (Impact Factor: 5.719), accepted. In addition, any other work on dialog research is welcome to the general technical track. The thematic sessions will be structured into short pitches and a common panel slot to discuss both individual paper contributions and shared topic issues. Question answering on business documents. Integration of AI-based approaches with engineering prototyping and manufacturing. We invite researchers to submit either full-length research papers (8 pages) or extended abstracts (2 pages) describing novel contributions and preliminary results, respectively, to the topics above; a more extensive list of topics is available on the Workshop website. 10, pp. Disease Contact Network. 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. Interesting challenges in this domain include the drastic increase of work from home or remote work, the imbalance between the demand and supply of the job market, the popularity of independent workers, the capability of helping job seekers on their whole job seeking journey and career development, the different objectives and behaviors of all major stakeholders in the ecosystem, e.g. Participants will be given access to publicly available datasets and will be asked to use tools from AI and ML to generate insight from the data. Liang Zhao, Amir Alipour-Fanid, Martin Slawski and Kai Zeng. Note: Mandatory abstract deadline on May 16, 2022 Deadline: ISMIR 2022 ISMIR '22 ​ . This date takes priority over those shown below and could be extended for some programs. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? DB transactions) to unstructured data (e.g. convolutional neural network (CNN), recurrent neural network (RNN), etc.) Data science draws from methodology developed in such fields as applied mathematics, statistics, machine learning, data mining, data management, visualization, and HCI. We also welcome submissions that are currently under consideration in such archival venues. For program deadlines, click on the Admissions and Regulations tab on the specific page of study. Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. Please use [email protected] to get in touch with us, or follow us on Twitter at @VisualDataSci. Dialog systems and related technologies, including natural language processing, audio and speech processing, and vision information processing. Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. 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. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. Deep Classifier Cascades for Open World Recognition. Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan. Fine tuning a neural network is very time consuming and far from optimal. The research contributions may discuss technical challenges of reading and interpreting business documents and present research results. Current rates of progress are insufficient, making it impossible to meet this goal without a technological paradigm shift. 22, Issue 2. Undergraduate (bachelor's, certificate, etc. The robust development and assured deployment of AI systems: Participants will discuss how to leverage and update common software development paradigms, e.g., DevSecOps, to incorporate relevant aspects of system-level AI assurance. A 2-day workshop to share knowledge and research on five tracks of DSTC-10 and general related technical track. Accepted submissions will be notified latest by August 7th, 2022. We received 38 paper submissions and accepted 23 of them. Multilingual document understanding methods and frameworks. KDD 2022. https://doi.org/10.1007/s10707-019-00376-9. Conference Deadlines - I.timyang.vip Yet, most of these efforts highlighted the challenges of model governance and compliance processes. Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. Innovation, Service, and Rising Star Awards. Key obstacles include lack of high-quality data, difficulty in embedding complex scientific and engineering knowledge in learning, and the need for high-dimensional design space exploration under constrained budgets. San Francisco, USA . Detailed information could be found on the website of the workshop. Association for the Advancement of Artificial Intelligence, The Thirty-Sixth AAAI Conference on Artificial IntelligenceFebruary 28 and March 1, 2022Vancouver Convention CentreVancouver, BC, Canada. This cookie is set by GDPR Cookie Consent plugin. in Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. Malicious attacks for ML models to identify their vulnerability in black-box/real-world scenarios. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. KDD 2022 : Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. To view them in conference website timezones, click on them. Invited speakers, committee members, authors of the research paper, and the participants of the shared task are invited to attend. All papers must be submitted in PDF format using the AAAI-22 author kit. 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. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. We invite submissions of technical papers up to 7 pages excluding references and appendices. Previous healthcare-related workshops focus on how to develop AI methods to improve the accuracy and efficiency of clinical decision-making, including diagnosis, treatment, triage. Liang Zhao. Small Molecule Generation via Disentangled Representation Learning. The ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2022 (ACM SIGSPATIAL 2022), poster track, to appear, 2022. Virtual . Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. Theoretical understanding of adversarial ML and its connection to other areas. Regarding efficiency, it is impractical to train a neural network containing billions of parameters and then deploy it to an edge device in practice. Alan Yuille (Professor, Johns Hopkins University); Hao Su (Assistant Professor, UC San Diego); Rongrong Ji (Professor, Xiamen University); Xianglong Liu (Professor, Beihang University); Jishen Zhao (Associate Professor, UC San Diego); Tom Goldstein (Associate Professor, University of Maryland); Cihang Xie (Assistant Professor, UC Santa Cruz); Yisen Wang (Assistant Professor, Peking University); Bohan Zhuang (Assistant Professor, Monash University), Haotong Qin (Beihang University), Yingwei Li (Johns Hopkins University), Ruihao Gong (SenseTime Research), Xinyun Chen (UC Berkeley), Aishan Liu (Beihang University), Xin Dong (Harvard University), Jindong Guo (University of Munich), Yuhang Li (Yale University), Yiming Li (Tsinghua University), Yifu Ding (Beihang University), Mingyuan Zhang (Nanyang Technological University), Jiakai Wang (Beihang University), Jinyang Guo (University of Sydney), Renshuai Tao (Beihang University), Workshop site:https://practical-dl.github.io/. Share. Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. Data Mining Conference Acceptance Rate. Additional advantages are possible, including decreased computational resources to solve a problem, reduced time for the network to make predictions, reduced requirements for training set size, and avoiding catastrophic forgetting. Table identification and extraction from business documents. A fundamental problem in the use of artificial neural networks is that the first step is to guess the network architecture. In addition, several invited speakers with distinguished professional background will give talks related the frontier topics of GNN. Complex systems are often characterized by several components that interact in multiple ways among each other. 19-25, 2016. Saliency-regularized Deep Multi-task Learning. The workshop will be a one-day workshop, featuring speakers, panelists, and poster presenters from machine learning, biomedical informatics, natural language processing, statistics, behavior science. [Best Paper Candidate]. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, and Qi Xiong. Other submissions will be evaluated by a committee based on their novelty and insights. 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! As far as we know, we are the first workshop to focus on practical deep learning in the wild for AI, which is of great significance. in Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), research track, (acceptance rate: 19.4%), Sydney, Australia, pp. Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu. Yuyang Gao, Giorgio Ascoli, Liang Zhao. Disentangled Spatiotemporal Graph Generative Model. All the workshop chairs, most of the Committees, and the authors of the accepted papers will attend the workshop also. 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. 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. You signed in with another tab or window. 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. Submission site:https://openreview.net/group?id=AAAI.org/2022/Workshop/ADAM, Aarti Singh (Carnegie Mellon University), Baskar Ganapathysubramanian (ISU), Chinmay Hegde (New York University; contact: [email protected]), Mark Fuge (University of Maryland), Olga Wodo (University of Buffalo), Payel Das (IBM), Soumalya Sarkar (Raytheon), Workshop website:https://adam-aaai2022.github.io/. sup-port vector machine (SVM), decision tree, random forest, etc.) An Invertible Graph Diffusion Model for Source Localization. Automatic fact/claim verification has recently become a topic of interest among diverse research communities. Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Fanny Ye, Chang-tien Lu, and Naren Ramakrishnan. Well also host a competition on adversarial ML along with this workshop. This half day workshop will focus on research into the use of AI techniques to extract knowledge from unstructured data in financial services. Hence, there is a need for research and practical solutions to ML security problems.With these in mind, this workshop solicits original contributions addressing problems and solutions related to dependability, quality assurance and security of ML systems. Bioinformatics (Impact Factor: 6.937), accepted, 2022. Data-driven Humanitarian Mapping and Policymaking Research 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. We allow papers that are concurrently submitted to or currently under review at other conferences or venues. Long Beach, California, USA . Submission at:https://easychair.org/my/conference?conf=edsmls2022. 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! Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia and Charu Aggarwal, "Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding", In the Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019), research track (acceptance rate: 14.2%), accepted, Alaska, USA, Aug 2019. Registration information will be mailed directly to all invited participants in December. Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features. Unsupervised Deep Subgraph Anomaly Detection. https://doi.org/10. Factorized Deep Generative Models for End-to-End Trajectory Generation with Spatiotemporal Validity Constraints. Eliminating the need to guess the right topology in advance of training is a prominent benefit of learning network architecture during training. Yanfang Ye, Yiming Zhang, Yujie Fan, Chuan Shi and Liang Zhao. Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, and Liang Zhao. For each accepted paper, at least one author must attend the workshop and present the paper. How can we make AI-based systems more ethically aligned? 32, no. However, FL also faces multiple challenges that may potentially limit its applications in real-world use scenarios. Counter-intuitive behaviors of ML models will largely affect the public trust on AI techniques, while a revolution of machine learning/deep learning methods may be an urgent need. Submissions that are already accepted or under review for another conference or already accepted for a journal are not accepted. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. Modern interface, high scalability, extensive features and outstanding support are the signatures of Microsoft CMT. 205-214, San Francisco, California, Aug 2016. Submissions are limited to 4 pages, not including references. Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao. Liang Gou, Bosch Research (IEEE VIS liaison), Claudia Plant, University of Vienna (KDD liaison), Alvitta Ottley, Washington University, St. Louis, Junming Shao, University of Electronic Science and Technology of China, Visualization in Data Science (VDS at ACM KDD and IEEE VIS), Visualization in Data Science (VDS at ACM KDD and IEEE VIS). World Wide Web Conference (WWW 2018), (acceptance rate: 14.8%), Lyon, FR, Apr 2018, accepted. Each full paper will be reviewed by three PC members, while extended abstracts will not be reviewed. Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), (Acceptance Rate: 15%), accepted. algorithms applied to the above topics: deep learning, reinforcement learning, multi-armed bandits, causal inference, mathematical programming, and stochastic optimization. KDD 2022 -ACM SIGKDD International Conference on Knowledge Discovery We invite paper submission with a focus that aligns with the goals of this workshop. ACM, 2014. 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. Besides academia, many companies and institutions are researching on topics specific to their particular domains. We invite a long research paper (8 pages) and a demo paper (4 pages) (including references). 9, no. 639-648, Nov 2015. We collaborate with Saudi Aramco to use machine learning for simulating oil and water flows, . Invited speakers, panels, poster sessions, and presentations. Novel mechanisms for eliciting and consuming user feedback, recommender, structured and generative models, concept acquisition, data processing, optimization; HCI and visualization challenges; Analysis of human factors/cognition and user modelling; Design, testing and assessment of IML systems; Studies on risks of interaction mechanisms, e.g., information leakage and bias; Business use cases and applications. We invite participants to submit papers by the 12th of November, based on but not limited to, the following topics: RL in various formalisms: one-shot games, turn-based, and Markov games, partially-observable games, continuous games, cooperative games; deep RL in games; combining search and RL in games; inverse RL in games; foundations, theory, and game-theoretic algorithms for RL; opponent modeling; analyses of learning dynamics in games; evolutionary methods for RL in games; RL in games without the rules; search and planning; and online learning in games. Topics include, but our not limited to: learning optimization models from data, constraint and objective learning, AutoAI, especially if combined with decision optimization models or environments, AutoRL, incorporating the inaccuracy of the automatically learnt models in the decision making process, and using machine learning to efficiently solve combinatorial optimization models. Liang Zhao, Ting Hua, Chang-Tien Lu, and Ing-Ray Chen. The cookies is used to store the user consent for the cookies in the category "Necessary". 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. What are the primary lessons learned from the model failures? The acceptance decisions will take in account novelty, technical depth and quality, insightfulness, depth, elegance, practical or theoretical impact, reproducibility and presentation. Encore track papers that have been recently published, or accepted for publication in a conference or journal. Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), (acceptance rate: 15.4%), accepted. Submissions are limited to a maximum of four (4) pages, including all content and references, and must be in PDF format. Can AI achieve the same goal without much low-level supervision? In recent months/years, major global shifts have occurred across the globe triggered by the Covid pandemic. Please refer tohttps://rl4ed.org/aaai2022/index.htmlfor additional information. Roco Mercado, Massachusetts Institute of Technology. Attendance is open to any interested participants at AAAI-22. Technology has transformed over the last few years, turning from futuristic ideas into todays reality. [paper] have been popularly applied into image recognition and time-series inferences for intelligent transportation systems (ITS). ML4OR is a one-day workshop consisting of a mix of events: multiple invited talks by recognized speakers from both OR and ML covering central theoretical, algorithmic, and practical challenges at this intersection; a number of technical sessions where researchers briefly present their accepted papers; a virtual poster session for accepted papers and abstracts; a panel discussion with speakers from academia and industry focusing on the state of the field and promising avenues for future research; an educational session on best practices for incorporating ML in advanced OR courses including open software and data, learning outcomes, etc. ^All accepted WSDM papers are associated with an interactive poster presentation in addition to oral presentations. 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