All papers must be submitted in PDF format, using the AAAI-21 author kit and anonymized. 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. This date takes priority over those shown below and could be extended for some programs. 105, no. The VTU workshops accepts both short paper (4 pages) and long paper (8 pages). Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao. We welcome attendance from individuals who do not have something theyd like to submit but who are interested in RL4ED research. 1145/3394486.3403221. By clicking Accept All, you consent to the use of ALL the cookies. Are you sure you want to create this branch? GeoInformatica (impact factor: 2.392), 24, 443475 (2020). All submissions must be anonymous and conform to AAAI standard for double-blind review. At least one author of each accepted submission must be present at the workshop. The academic session will focus on most recent research developments on GNNs in various application domains. ), The workshop will be organized as half-day event with 2 invited speakers, follow by presentation from accepted papers (both ordinary papers, and shared task paper). The cookies is used to store the user consent for the cookies in the category "Necessary". Submission site:https://cmt3.research.microsoft.com/AAAI2022HCSSL/Submission/Index, Ali Etemad (Queens University, [email protected]), Ali Etemad (Queens University, [email protected]), Ahmad Beirami (Facebook AI, [email protected]), Akane Sano (Rice University, [email protected]), Aaqib Saeed (Philips Research & University of Cambridge, [email protected]), Alireza Sepas-Moghaddam (Socure, [email protected]), Mathilde Caron (Inria & Facebook AI, [email protected]), Pritam Sarkar (Queens University & Vector Institute, [email protected]), Huiyuan Yang (Rice University, [email protected]), Supplemental website:https://hcssl.github.io/AAAI-22/. We will receive the paper on the CMT system. In addition, several invited speakers with distinguished professional background will give talks related the frontier topics of GNN. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), New Orleans, US, Feb 2018, pp. Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. . Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu. Identification of key challenges and opportunities for future research. Hua, Ting, Feng Chen, Liang Zhao, Chang-Tien Lu, and Naren Ramakrishnan. Knowledge Discovery and Data Mining. Data science is the practice of deriving insights from data, enabled by statistical modeling, computational methods, interactive visual analysis, and domain-driven problem solving. Recently self-supervised approaches for speech/audio processing are also gaining attention. Hence, AI methods are required to understand and protect the cyber domain. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. We invite submission of papers describing innovative research and applications around the following topics. We plan to invite 2-4 keynote speakers from prestigious universities and leading industrial companies. In some programs, spots may be available after the deadlines. This is especially the case for non-traditional online resources such as social networks, blogs, news feed, twitter posts, and online communities with the sheer size and ever-increasing growth and change rate of their data. KDD 2023 KDD '23 ​ ​ ​ August 6-10, 2023. Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. 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. Workshops will be held Monday and Tuesday, February 28 and March 1, 2022. 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. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. Deep Multi-attributed Graph Translation with Node-Edge Co-evolution. Hence, this workshop will focus on introducing research progress on applying AI to education and discussing recent advances of handling challenges encountered in AI educational practice. What is the status of existing approaches in ensuring AI and Machine Learning (ML) safety, and what are the gaps? Novel algorithms and theories to improve model robustness. Paper Submission Deadline: May 26, 2022 Author Notification: June 20, 2022 Camera Ready: July 9, 2022 Workshop: August . The accepted papers will be posted on the workshop website and will not appear in the AAAI proceedings. Jan 13, 2022: Notification. Small Molecule Generation via Disentangled Representation Learning. Panel discussion: Interactive Q&A session with a panel of leading researchers. Graph Neural Networks: Foundations, Frontiers, and Applications. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng and Liang Zhao. 5 (2014): 1447-1459. Integration of declarative and procedural domain knowledge in learning. Liang Zhao's Homepage - Emory University What AI safety considerations and experiences are relevant from industry? GNES: Learning to Explain Graph Neural Networks. KDD 2022 : 28th ACM SIGKDD Conference on Knowledge Discovery - WikiCFP Tips for Doing Good DM Research & Get it Published! Your Style Your Identity: LeveragingWriting and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network, The Web Conference (WWW 2019), short paper, (acceptance rate: 20%), accepted, 2019. The workshop plans to invite about 50-75 participants. The 33rd European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesg (ECML-PKDD 2022) (Acceptance Rate: 26%), accepted, 2022. Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints. Workshop URL:https://rail.fzu.edu.cn/info/1014/1064.htm, Prof. Chi-Hua ChenEmail: [email protected] address: No.2, Xueyuan Rd., Fuzhou, Fujian, ChinaTelephone: +86-18359183858. We invite the submission of papers with 4-6 pages. How do metrics of capability and generality, and the trade-offs with performance affect safety? [Submission deadline extended, June 3] KDD 2022 Workshop on - INFORMS Accepted papers will be given the opportunity to present at the spotlight sessions during the workshop. Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji and Charu Aggarwal. Submission site:https://cmt3.research.microsoft.com/DSTC102022, Koichiro Yoshino,Address: 2-2-2, Seika, Sohraku, Kyoto, 6190288, JapanAffiliation: RIKENPhone: +81-774-95-1360Email: [email protected], Yun-Nung (Vivian) ChenAddress: No. 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. Novel AI-based techniques to improve modeling of engineering systems. The submission website ishttps://easychair.org/conferences/?conf=fl-aaai-22. Detailed information could be found on the website of the workshop. Welcome to the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2022), which will be held in Chengdu, China on May 16-19, 2022. 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. Liang Zhao, Feng Chen, and Yanfang Ye. "TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction", the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems 2019 (SIGSPATIAL 2019), long paper, (acceptance rate: 21.7%), Chicago, Illinois, USA, accepted. 639-648, Nov 2015. GraphGT: Machine Learning Datasets for Deep Graph Generation and Transformation. "The EMBERS architecture for streaming predictive analytics." Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018), Oral presentation (acceptance rate: 11.0%), pp. Each oral presentation will be allocated between 10-15 minutes, while the spotlight presentation will be 2 minute each. Pattern Recognition, (impact factor: 7.196),112 (2021): 107711. Negar Etemadyrad, Qingzhe Li, Liang Zhao. KDD 2022 | Washington DC, U.S. SIGKDD CONFERENCE Latest News Aug 12, 2022: Please check out the proceedings access information. You signed in with another tab or window. 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. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. December, 12-16, 2022. . AI Conference Deadlines - Hyunwoo Kim 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/. We collaborate with Saudi Aramco to use machine learning for simulating oil and water flows, . Poster/short/position papers: We encourage participants to submit preliminary but interesting ideas that have not been published before as short papers. Submissions will be collected via the OpenReview platform; URL forthcoming on the Workshop website. Functional Connectivity Prediction with Deep Learning for Graph Transformation. Yujie Fan, Yanfang (Fanny) Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, and Liang Zhao. [Call for papers] KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond, CFP: IJCAI 2021 Reinforcement Learning for Intelligent Transportation Systems Workshop, Second Workshop on Marketplace Innovation. Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao. Attendance is open to all, subject to any room occupancy constraints. Liang Zhao. In our workshop, we specifically focus on the trustworthy issues in AI for healthcare, aiming to make clinical AI methods more reliable in real clinical settings and be willingly used by physicians. ADMM for Efficient Deep Learning with Global Convergence. We received 38 paper submissions and accepted 23 of them. 7, no. Data Mining Conferences - GitHub Papers can be submitted here as an extended abstract (4 pages limit excluding references) or a short paper (6 pages limit excluding references). Washington DC, USA. 507-516, Singapore, Nov 2017. Semantic understanding of business documents. Saliency-Augmented Memory Completion for Continual Learning. SIGMOD 2022 adheres to the ACM Policy Against Harassment. It is one of the key bottlenecks for financial services companies to improve their operating productivity. Submissions of technical papers can be up to 7 pages excluding references and appendices. Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao. The workshop page ishttps://sites.google.com/view/aaaiwfs2022, and it will include the most up-to-date information, including the exact schedule. It will include multiple keynote speakers, invited talks, a panel discussion, and two poster sessions for the accepted papers. 9, no. of London). References will not count towards the page limit. Papers should be up to 4 pages in length (excluding references) formatted using the AAAI template. Deadline: AI4science NASSMA 2022 2022 AI4science NASSMA 2022 '22 . arXiv preprint arXiv:2002.11867 (2021), Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. Submissions may consist of up to 7 pages of technical content plus up to two additional pages solely for references. Typically, we receive around 40~60 submissions to each previous workshop. The workshop combines several disciplines, including ML, software engineering (with emphasis on quality), security, and game theory. Guangji Bai and Liang Zhao. Submissions will be peer reviewed, single-blinded. 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. Check the CFP for details Deadline: ICDM 2020 . "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. Accepted submissions will have the option of being posted online on the workshop website. Authors of accepted papers will be invited to participate. Fine tuning a neural network is very time consuming and far from optimal. Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, and Chang-Tien Lu. We invite paper submission on the following (and related) topics: The workshop will be a 1 day meeting comprising several invited talks from distinguished researchers in the field, spotlight lightning talks and a poster session where contributing paper presenters can discuss their work, and a concluding panel discussion focusing on future directions. 2022. This thread already has a best answer. Yuanqi Du*, Shiyu Wang* (co-first author), Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao. For previous workshops held physically, each workshop attracts around 150~300 participants. The desired LENGTH of the workshop: Full-day (~8 hours). How to do good research, Get it published in SIGKDD and get it cited! However, you may visit "Cookie Settings" to provide a controlled consent. Chen Ling, Carl Yang, Liang Zhao. Connor Coley, Massachusetts Institute of TechnologyProf. It has gained popularity in some domains such as image classification, speech recognition, smart city, and healthcare. This workshop aims to bring researchers from these diverse but related fields together and embark on interesting discussions on new challenging applications that require complex system modeling and discovering ingenious reasoning methods. 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. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) (Acceptance Rate: 14.99%), accepted, 2022. The impact of robustness assurance on other AI ethics principles: RAISA will also explore aspects related to ethical AI that overlap and interact with robustness concerns, including security, fairness, privacy, and explainability. the 56th Design Automation Conference (DAC 2019), accepted, (acceptance rate: 20%), Las Vegas, US, 2019. 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. The 48th International Conference on Parallel Processing (ICPP 2019), (acceptance rate: 20%), accepted, Kyoto, Japan. The 9th International Conference on Learning Representations (ICLR 2021), (acceptance rate: 28.7%), accepted. ACM Computing Surveys (CSUR), (impact factor: 10.28), accepted. Integration of logical inference in training deep models. Accepted submissions will be notified latest by August 7th, 2022. "Bridging the gap between spatial and spectral domains: A survey on graph neural networks." System reports should also follow the AAAI 2022 formatting guidelines and have 4-6 pages including references. RL4ED is intended to facilitate tighter connections between researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). in Proceedings of the IEEE International Conference on Data Mining (ICDM 2018), regular paper (acceptance rate: 8.9%), Singapore, Dec 2018, accepted. International Journal of Digital Earth, (impact factor: 3.097), 25 Aug 2020, https://doi.org/10.1080/17538947.2020.1809723. 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. The submission website ishttps://cmt3.research.microsoft.com/PracticalDL2022. Thirty-First AAAI Conference on Artificial Intelligence, pp. In the Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), (acceptance rate: 17.9%), accepted, Macao, China, Aug 2019. 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/. Submission site:https://easychair.org/conferences/?conf=kdf22, Chair:Xiaomo Liu (J.P. Morgan Chase AI Research, [email protected]), Zhiqiang Ma (J.P. Morgan Chase AI Research), Armineh Nourbakhsh (J.P. Morgan Chase AI Research), Sameena Shah (J.P. Morgan Chase AI Research), Gerard de Melo (Hasso Plattner Institute), Le Song (Mohamed bin Zayed University of Artificial Intelligence), Workshop URL:https://aaai-kdf.github.io/kdf2022/.