July 23-29, 2022
Messe Wien, Vienna, Austria

Welcome to IJCAI-ECAI 2022, the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence, the premier international gathering of researchers in AI! The first IJCAI-ECAI in-person conference since the outbreak of the Covid pandemic.

This was IJCAI-ECAI 2022



We wanted to make this event as safe as possible for all participants, please see our Covid prevention policies.

IJCAI-ECAI-2022 was an in-person event.

For large fragments of the IJCAI community physical travel was possible, and the pandemic-associated risks – greatly reduced by vaccination – have ceased to generally outweigh the advantages of the in-person interaction.

However, not everyone was able to attend. Therefore, IJCAI-ECAI-2022 had a limited online component to enable the participation of major sponsors and of delegates who could not travel pursuant to the Covid-19 regulations of their country of residence.

The authors of papers accepted to the following tracks of IJCAI: main, AI for Good, AI – Arts & Creativity, Survey, Demo, Journal, and Sister Best Paper tracks have been invited to present their work in person in Vienna and to produce a video-recording of their presentation (via SlidesLive).

The in-person component of IJCAI-ECAI 2022 in Vienna ran from 23 to 29 July and will consist of in-person presentations. Talks at IJCAI-ECAI 2022 were not live streamed.

The virtual component operated through the Whova app. Access to the pre-recorded video’s and limited support for interaction with authors of the above mentioned tracks was provided to registered participants via this app. There were no online poster sessions.

Following the tradition of previous IJCAIs, IJCAI-ECAI 2022 featured the following tracks:

  • workshops and tutorials,
  • a doctoral consortium,
  • the main technical program,
  • an early career spotlight track,
  • special tracks on “AI for Good” and on “AI, the Arts and Creativity”,
  • survey, sister best paper and journal tracks,
  • a demo, a video and a robot exhibition track,
  • a diversity and inclusion program,
  • as well as competitions and challenges.

See the respective calls for more information.


Submissions to IJCAI-ECAI 22 should report on significant, original, and previously unpublished results on any aspect of artificial intelligence. Papers on novel AI research problems, on AI techniques for novel application domains, and papers that cross discipline boundaries within AI are especially encouraged.

Key novelties this year:

  • Two phase reviewing process. Only papers that receive two sufficiently positive reviews during the first phase will proceed to the second full reviewing phase.
  • The program committee consists of PC members (reviewers), Senior PC members (meta-reviewers) and Area Chairs (ACs).
  • The author response (for papers in the second phase only) will be accessible to PCs, SPCs, and ACs.
  • There are two special tracks (“AI for Good”, and “AI, the Arts and Creativity”) with separate calls for papers.
  • The authors of papers submitted to IJCAI-ECAI 2022 are expected to contribute a limited number of reviews, if asked to.
UPDATED: IJCAI-ECAI 2022 is trialing a light-weight ethics review policy. It is recommended that papers working with sensitive data or on sensitive tasks include an ethics statement. Reviewers will be asked to flag glaring violations of ethical principles. Such flagged submissions will be reviewed by the Ethics Chair.
The full call is available here.


IJCAI calls for nominations for its 2022 awards. For details, we refer to this document.


Abstract submission deadline: January 7, 2022
Submission deadline:
January 14, 2022
Author response period: March 16-18, 2022
Paper notification: April 20, 2022
Registration open: April 20, 2022
Conference dates: July 23-29, 2022

For details, see the Call for Papers.


IJCAI-22 was a physical event. For details on the regulations click here.


In Partnership With



Diamond Sponsors:


Platinum Sponsors:

Gold Sponsors:


Silver Sponsors:

Bronze Sponsors:




  • 18.07.2022: Program brochure online
  • 17.06.2022: Accepted Papers and Program Schedule online
  • 02.06.2022: Awards announced
  • 24.05.2022: Program overview online
  • 02.05.2022: Keynote speakers announced
  • 21.04.2022: Registration open
  • 07.03.2022: Attending informations online
  • 18.02.2022: Call for Award Nominations online
  • 11.02.2022: PAIS 2022: Call for Papers online
  • 29.12.2021: SUBMISSION IS OPEN!
  • 07.12.2021: Ethics Chair (Toby Walsh) mentioned and Ethics Policy updated
  • 07.12.2021: Call for Videos online
  • 18.11.2021: Call for Papers (Special Track on AI, the Arts, and Creativity) online
  • 18.11.2021: Call for Papers (Multi-Year Track on AI for Good) online
  • 12.11.2021: Call for Papers (Survey Track) online
  • 08.11.2021: Call for Robot Exhibition online
  • 03.11.2021: Call for Demos online
  • 03.11.2021: Call for Papers online
  • 03.11.2021: Call for Doctoral Consortium online
  • 02.11.2021: Call for Competitions & Challenges online
  • 02.11.2021: Call for Workshops online
  • 29.10.2021: Call for D&I Proposals online
  • 25.10.2021: Call for PC members online
  • 22.10.2021: Call for Tutorials online

#Workshops W09 The Second International Workshop on Trustworthy Artificial Intelligence for Healthcare (TAI4H) invited talks @ #IJCAI2024:
🗣️Yuan Yancheng, The Hong Kong Polytechnic University
🗣️Xin Wang, The Chinese University of Hong Kong
🗣️Zhen Li, The Chinese University of Hong Kong, Shenzhen 香港中文大学(深圳)
🗣️Yifan Peng, Weill Cornell Medicine

#Workshops W08 AI for Critical Infrastructure Workshop keynotes @ #IJCAI2024:
🗣️Tao Chen
🗣️Wei Lin

#Cyberattacks #climateChange #AI

#EarlyCareer #talk at #IJCAI2024 by🗣️Bo Han, Hong Kong Baptist University: Trustworthy Machine Learning under Imperfect Data

Abstract: Trustworthy machine learning (TML) under imperfect data has recently brought much attention in the data-centric fields of machine learning (ML) and artificial intelligence (AI). Specifically, there are mainly three types of imperfect data along with their challenges for ML, including i) label-level imperfection: noisy labels; ii) feature-level imperfection: adversarial examples; iii) distribution-level imperfection: out-of-distribution data. Therefore, in this paper, we systematically share our insights and solutions of TML to handle three types of imperfect data. More importantly, we discuss some new challenges in TML, which also open more opportunities for future studies, such as trustworthy foundation models, trustworthy federated learning, and trustworthy causal learning.

#Workshops The 2nd International Workshop on Generalizing from Limited Resources in the Open World workshop invited talks @ #IJCAI2024:
🗣️Piotr Koniusz, CSIRO's Data61
🗣️Blesson Varghese, The University of St Andrews
🗣️Aaron Gilad Kusne, National Institute of Standards and Technology (NIST)
🗣️Olly Style, London
🗣️Aishan Liu, Beihang University


#Workshops The First International OpenKG Workshop: Large Knowledge-enhanced Models keynotes @ #IJCAI2024:
🗣️Ying Ding, The University of Texas at Austin
🗣️Jeff Pan, The University of Edinburgh, The Alan Turing Institute


#EarlyCareer #talk at #IJCAI2024 by🗣️Guodong Long, University of Technology Sydney: The Rise of Federated Intelligence: From Federated Foundation Models Toward Collective Intelligence


The success of foundation models advances the development of various intelligent and personalized agents to handle intricate tasks in their daily lives, however finite resources and privacy concerns from end users limit the potential of customizing the large intelligent agents for personal use. This paper explores the preliminary design of federated intelligence that paves the way toward personalized intelligent agents in large-scale collaboration scenarios. In Federated Intelligence, agents can collaboratively augment their intelligence quotient (IQ) by learning complementary knowledge and fine-grained adaptations. These personalized intelligent agents can also co-work together to jointly address complex tasks in the form of collective intelligence. The paper will highlight federated intelligence as a new pathway for tackling complex intelligent tasks by refining and extending centralized foundation models to an open and collaborative paradigm.


#Workshops 4th International Workshop on Deep Learning for Human Activity Recognition keynotes @ #IJCAI2024:
🗣️Zhao Guoying, University of Oulu
🗣️Paul Lukowicz, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

#ML #DL #WearableTech #SmartHome

#Workshops Tune in to the Trustworthy AI Workshop keynotes @ #IJCAI2024:
🗣️Pin-Yu Chen, IBM
🗣️Girmaw Abebe Tadesse, Microsoft AI for Good Research Lab
🗣️Franziska Boenisch, CISPA Helmholtz Center for Information Security
➡️ https://trustaiijcai.github.io/trustai-ijcai24/

#LLMs #Sustainability #ML

#workshops 🗣️Yuichi Washida, Hitotsubashi University, will deliver the invited talk at the Joint Workshop of the 8th Financial Technology and Natural Language Processing (#FinNLP) and the 1st Agent AI for Scenario Planning (#AgentScen).


#EarlyCareer #talk at #IJCAI2024 by🗣️Johannes P. Wallner, Technische Universität Graz: Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability
Abstract: We survey recent research and research agenda of the author, focusing on contributions in the area of computational argumentation. Contributions span from foundations of static and dynamic forms of argumentative reasoning and approaches to support explainability, e.g., analysis of the computational complexity of argumentative reasoning and algorithmic approaches.