We held an international exchange seminar and were honored to welcome Senior Lecturer Weihua Li from Auckland University of Technology for this lecture.

Abstract: Social computing examines how individuals interact, share information, and influence each other in online environments. Integrating Artificial Intelligence into this domain opens up powerful new capabilities to model, understand, and shape these interactions at scale. This seminar presents a series of representative AI-driven works across three core areas: modelling and simulating influence diffusion in large-scale, dynamic networks; promoting fairness and mitigating ideological isolation through diversity-aware recommendation algorithms; and detecting threats in social networks. Together, these efforts aim to advance intelligent systems that promote healthier, more inclusive, and trustworthy digital ecosystems.

Mr. Minggang Wang, accompanied by Prof. KATO Shohei, participated in The 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) which was held in Copenhagen (Venue: Bella Center) and presented the research results.

Minggang WANG, Shohei KATO, Wen GU, Jun YAN, Fenghui REN, “Cross-Language Depression Detection Based on Multi-Domain Feature Alignment”, The Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2025), pp. 1-7, Copenhagen, Denmark, 2025.7.14-17.

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu, Minjie Zhang, “Human attention guided multiagent hierarchical reinforcement learning for heterogeneous agents”, Knowledge-Based Systems, Volume 316, Elsevier, 2025.

Doi: https://doi.org/10.1016/j.knosys.2025.113377 (publication date: 2025.5.12）（Impact Factor: 7.2, SJR H-index: 169, Q1）

Xiaoxue Liu, Shohei Kato, Wen Gu, Fenghui Ren, Guoxin Su, Minjie Zhang, “Diffusion of Ordinal Opinions in Social Networks: An Agent-Based Model and Heuristics for Campaigning”, IEEE Transactions on Computational Social Systems, pp.1-13, 2024.

Doi: https://doi.org/10.1109/TCSS.2024.3458950 (publication date: 2025.2) (Impact Factor: 4.5, SJR　H-index: 55, Q1)

Mr. LIU Dingbang, accompanied by Prof. KATO Shohei, participated in The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS) which was held in Vancouver (Venue: Vancouver Convention Center) and presented the research results.

Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, Guoxin Su, “Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems”, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024) 2024.12.10-15. (One of the top conferences of ML and AI，Google H5-index：337)

Within the framework of our joint degree program, the International Collaborative Symposium for Informatics (ICSI 2024)—jointly organized by both universities—was held for the third time, this year at the University of Wollongong.

The symposium was organized in conjunction with The 8th IEEE International Conference on Agents (December 4–6). A total of 11 participants from Nagoya Institute of Technology attended and presented their research at both conferences.

Outside the conferences, student exchange activities such as a campus tour involving students from both universities were also conducted.

This was the third time that an information session for our program (Joint Degree Doctoral Program in Informatics) was held.
At the session, we provided detailed explanations about the Joint Degree Program, our partner institution—the University of Wollongong in Australia—as well as matters related to staying in Australia.

Xiaoxue Liu, Shohei Kato, Wen Gu, Fenghui Ren, Guoxin Su, Minjie Zhang, “A pool-based simulated annealing approach for preference-aware influence maximisation in social networks”, Knowledge-Based Systems, Volume 300, Elsevier, 2024.

Doi: https://doi.org/10.1016/j.knosys.2024.112229 (publication date: 2024.9.27) (Impact Factor: 7.2, SJR H-index: 169, Q1)

Mr. WANG Minggang, accompanied by Prof. KATO Shohei, participated in The 32nd European Signal Processing Conference (EUSIPCO) which was held in Lyon, France (Venue: Lyon Convention Center) and presented the research results.

Minggang WANG, Shohei KATO, Wen GU, Jun YAN, Fenghui REN, “Speaker-Independent Depression Detection based on Adversarial Training Method”, The 32nd European Signal Information Processing Conference (EUSIPCO 2024), pp.1521-1525, Lyon, France, 2024.8.26-30.　

Xiaoxue Liu, Fenghui Ren, Guoxin Su, Minjie Zhang, Wen Gu and Shohei Kato, “Predicting Voting Outcomes for Multi-Alternative Elections in Social Networks,” in IEEE Access, vol. 12, pp. 98960-98970, 2024.

Doi: https://doi.org/10.1109/ACCESS.2024.3425160 (Publication: 2024.7.8）