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! 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. Qingzhe Li, Liang Zhao, Jessica Lin and Yi-ching Lee. The submission website ishttps://cmt3.research.microsoft.com/TAIH2022. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), pp. SDU will also host a session for presenting the short research papers and the system reports of the shared tasks. The post-lunch session will feature a second keynote talk, two invited talks. DB transactions) to unstructured data (e.g. Aug 14-18. Pourya Hoseinip, Liang Zhao, and Amarda Shehu. KDD 2022 is a dual-track conference that provides distinct programming in research and applied data science. We will use double-blind reviewing. The workshop will focus on both the theoretical and practical challenges related to the design of privacy-preserving AI systems and algorithms and will have strong multidisciplinary components, including soliciting contributions about policy, legal issues, and societal impact of privacy in AI. 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. 2022. Multi-objective Deep Data Generation with Correlated Property Control. 10 (2014): e110206. Liming Zhang, Dieter Pfoser, Liang Zhao. 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 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. 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. Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting. This workshop on Trustworthy Autonomous Systems Engineering (TRASE) offers an opportunity to highlight state of the art research in trustworthy autonomous systems, as well as provide a vision for future foundational and applied advances in this critical area at the intersection of AI and Cyber-Physical Systems. This AAAI workshop aims to bring together researchers from core AI/ML, robotics, sensing, cyber physical systems, agriculture engineering, plant sciences, genetics, and bioinformatics communities to facilitate the increasingly synergistic intersection of AI/ML with agriculture and food systems. Table identification and extraction from business documents. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . The papers have to be submitted through EasyChair. arXiv preprint arXiv:2212.03954 (2022). Yuyang Gao, Tong Sun, Guangji Bai, Siyi Gu, Sungsoo Hong, and Liang Zhao. SIGSPATIAL Special (invited paper), vo. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. Topics of interest include, but are not limited to: One day, comprising keynote, paper presentations and panel sessions. considered to be more practical and more related with real-world applications. Interpreting and Evaluating Neural Network Robustness. The review process will be single blind. Amir A. Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng. [Best Paper Award]. Novel ML-accelerated optimization for conceptual/detailed system design. In this workshop, we aim to address the trustworthy issues of clinical AI solutions. The theme of the hack-a-thon will be decided before submission is closed and will be focused around finding creative solutions to novel problems in health. 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). Submission site:https://cmt3.research.microsoft.com/AAAI2022HCSSL/Submission/Index, Ali Etemad (Queens University, ali.etemad@queensu.ca), Ali Etemad (Queens University, ali.etemad@queensu.ca), Ahmad Beirami (Facebook AI, ahmad.beirami@gmail.com), Akane Sano (Rice University, akane.sano@rice.edu), Aaqib Saeed (Philips Research & University of Cambridge, aqibsaeed@protonmail.com), Alireza Sepas-Moghaddam (Socure, alireza.sepasm@socure.com), Mathilde Caron (Inria & Facebook AI, mathilde@fb.com), Pritam Sarkar (Queens University & Vector Institute, pritam.sarkar@queensu.ca), Huiyuan Yang (Rice University, hy48@rice.edu), Supplemental website:https://hcssl.github.io/AAAI-22/. Short or position papers of up to 4 pages are also welcome. Junxiang Wang, Liang Zhao, Yanfang Ye, and Yuji Zhang. Oct. 24, 2021: The KDD2022 website is LIVE! Like other systems, ML systems must meet quality requirements. Paper Final Version Due: Monday August 1, 2022. [slides] Panel discussion: Interactive Q&A session with a panel of leading researchers. Yevgeniy Vorobeychik (Washington University in St. Louis), Bruno Sinopoli (Washington University in St. Louis), Jinghan Yang (Washington University in St. Louis), Bo Li (UIUC), Atul Prakash (University of Michigan), Supplemental Workshop site:https://jinghany.github.io/trase2022/. Transformations in many fields are enabled by rapid advances in our ability to acquire and generate data. Full papers: Submissions must represent original material that has not appeared elsewhere for publication and that is not under review for another refereed publication. 625-634, New Orleans, US, Dec 2017. Balaraman Ravindran (Indian Institute of Technology Madras, India ravi@cse.iitm.ac.in), Balaraman Ravindran (Indian Institute of Technology Madras, India Primary contact (ravi@cse.iitm.ac.in), Kristian Kersting (TU Darmstadt, Germany, kersting@cs.tu-darmstadt.de), Sriraam Natarajan (Univ of Texas Dallas, USA, Sriraam.Natarajan@utdallas.edu), Ginestra Bianconi (Queen Mary University of London, UK, ginestra.bianconi@gmail.com), Philip S. Chodrow (University of California, Los Angeles, USA, phil@math.ucla.edu) Tarun Kumar (Indian Institute of Technology Madras, India, tkumar@cse.iitm.ac.in), Deepak Maurya (Purdue University, India, maurya@cse.iitm.ac.in), Shreya Goyal (Indian Institute of Technology Madras, India, Goyal.3@iitj.ac.in), Workshop URL:https://sites.google.com/view/gclr2022/. Submission Guidelines Tips for Doing Good DM Research & Get it Published! Cesa Salaam (Howard University, USA), Hwanhee Lee (Seoul National University, South Korea), Jaemin Cho (University of North Carolina at Chapel Hill, USA), Jielin Qiu (Carnegie Mellon University, USA), Joseph Barrow (University of Maryland, US), Mengnan Du (Texas A&M University, USA), Minh Van Nguyen (University of Oregon, USA), Nicole Meister (Princeton University, USA), Sajad Sotudeh Gharebagh (Georgetown University, USA), Sampreeth Chebolu (University of Houston, USA), Sarthak Jain (Northeastern University, USA),Shufan Wang (University of Massachusetts Amherst, USA), Supplemental Workshop site:https://vtuworkshop.github.io/2022/, https://research.ibm.com/haifa/Workshops/AAAI-22-AI4DO/. robust and interpretable natural language processing for healthcare. Attendance is open to all. We will receive the paper on the CMT system. Submissions will be peer reviewed, single-blinded. Unsupervised Deep Subgraph Anomaly Detection. Such advances would enrich the range of applicability of semi-autonomous systems to real-world tasks, most of which involve cooperation with one or more human partners. All papers must be submitted in PDF format, using the AAAI-22 author kit. Integration of non-differentiable optimization models in learning. "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. Information extraction and information retrieval for scientific documents; Question answering and question generation for scholarly documents; Word sense disambiguation, acronym identification and expansion, and definition extraction; Document summarization, text mining, document topic classification, and machine reading comprehension for scientific documents; Graph analysis applications including knowledge graph construction and representation, graph reasoning and query knowledge graphs; Biomedical image processing, scientific image plagiarism detection, and data visualization; Code/Pseudo-code generation from text and im-age/diagram captioning, New language understanding resources such as new syn-tactic/semantic parsers, language models or techniques to encode scholarly text; Survey or analysis papers on scientific document under-standing and new tasks and challenges related to each scientific domain; Factuality, data verification, and anti-science detection. This website uses cookies to improve your experience while you navigate through the website. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (Impact Factor: 14.255), accepted. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng and Liang Zhao. What safety engineering considerations are required to develop safe human-machine interaction? The workshop attracted about 100 attendees. This cookie is set by GDPR Cookie Consent plugin. 12 (2014): 90-94. Half day event featuring a panel, invited and keynote speakers and presentations selected through a CFP. This manual extraction process is usually inefficient, error-prone, and inconsistent. Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan. Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting. We consider submissions that havent been published in any peer-reviewed venue (except those under review). 1466-1469. Workshop registration is available to AAAI-22 technical registrants at a discounted rate, or separately to workshop only registrants. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. We welcome full research papers, position papers, and extended abstracts. It is anticipated that this will be an in-person workshop, subject to changing travel restrictions and health measures. NOTE: May 19: Notification. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. Invited speakers, panels, poster sessions, and presentations. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. RES: A Robust Framework for Guiding Visual Explanation. While we are planning an in-person workshop to be held at AAAI-22, we aim to accommodate attendees who may not be able to travel to Vancouver by allowing participation via live virtual invited talks and virtual poster sessions. For program deadlines, click on the Admissions and Regulations tab on the specific page of study. Modern surveillance systems employ tools and techniques from artificial intelligence and machine learning to monitor direct and indirect signals and indicators of disease activities for early, automatic detection of emerging outbreaks and other health-relevant patterns. 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). 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. Full (8 pages) and short (4 pages, work in progress) papers, AAAI style. 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.