We visited the University of Wollongong, our partner institution in this Joint Degree Program. For the first time, we held a joint seminar in person, which had previously been conducted exclusively online. During the seminar, students gave presentations and received valuable feedback and guidance from professors on both sides.

In addition, we were able to organize student exchange activities, individual meetings, and various discussions, making this visit highly meaningful. We also met with master’s course students who were staying there under our university’s research internship program, allowing us to hear about their current progress.

Minggang Wang, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, “Depression detection from speech signals using a multiple temporal-frequency scale Channel Attention Mechanism”, Biomedical Signal Processing and Control, Volume 113, Part A, Elsevier, 2026.

Doi: https://doi.org/10.1016/j.bspc.2025.108873 (publication: 2026.3) (Impact Factor: 4.9, SJR H-index: 125, Q1)

Mr. Dingbang Liu, accompanied by Prof. KATO Shohei and A/Prof. Wen Gu, participated in the 40th Annual AAAI Conference on Artificial Intelligence (AAAI) which was held in Singapore (Venue: Singapore Expo) and presented the research results.

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu, “Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems”, Proceedings of the AAAI Conference on Artificial Intelligence 40(28) 23676-23684, March 14, 2026.

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato, “Improving Scalability of Multi-Agent Deep Reinforcement Learning with Suboptimal Human Knowledge”, Autonomous Agents and Multi-Agent Systems, Volume 40, Number 2, Springer Nature, 2026.

Doi: https://doi.org/10.1007/s10458-025-09729-1 (publication date: 2026.1.10) (Impact Factor: 2.6, SJR H-index: 82, Q2)

Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Wen Gu, Shohei Kato “Fuzzy Knowledge-Based Hierarchical Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems”, IEEE Transactions on Cybernetics, 2025 Dec 31.

Doi: https://doi.org/10.1109/tcyb.2025.3638807 (publication: 2025.12) PMID: 41475003 (Impact Factor: 10.5)

This was the forth 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.

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）

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)