Speakers: Thirteen (13) speakers from ten (10) institutions across five (5) countries/territories.
Date & Time: 19 January 2026, Monday, 9am-6pm
Venue: A*STAR, Connexis North, Level 16 Curie I & II Meeting Room
Abstract: In this one-day workshop, speakers from A*STAR I2R, A*STAR CFAR, UNSW (Australia), Zhengzhou University (China), HPE (US), Wuhan University of Technology (China), NTU, Shandong University (China), Monash (Australia), and HKBU (Hong Kong), will share their recent research breakthroughs on various topics centred around Trustworthy AI.
*Physical session only.
Speakers: Professor HUYNH Thi Thanh Binh, Vice Dean of the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST)
Date & Time: 22 January 2026, Thursday, 2-3:30pm
Venue: A*STAR, Connexis, Poincare Meeting Room
Abstract: Designing effective algorithmic components remains a fundamental obstacle in tackling NP hard combinatorial optimization problems (COPs), where solvers often rely on carefully hand-crafted strategies. Despite recent advances in using large language models (LLMs) to synthesize high-quality components, most approaches restrict the search to a single element - commonly a heuristic scoring function - thus missing broader opportunities for innovation. In this paper, we introduce a broader formulation of solver design as a multi-strategy optimization problem, which seeks to jointly improve a set of interdependent components under a unified objective. To address this, we propose Multi-strategy Optimization via Turn-based Interactive Framework (MOTIF)—a novel framework based on Monte Carlo Tree Search that facilitates turn-based optimization between two LLM agents. At each turn, an agent improves one component by leveraging the history of both its own and its opponent’s prior updates, promoting both competitive pressure and emergent cooperation. This structured interaction broadens the search landscape and encourages the discovery of diverse, high-performing solutions. Experiments across multiple COP domains show that MOTIF consistently outperforms state-of-the-art methods, highlighting the promise of turn-based, multi-agent prompting for fully automated solver design.
*CIS members are strongly encouraged to attend the online broadcast of this seminar:
Microsoft Teams Meeting ID: 449 824 328 554 25 Passcode: CZ2cD7Bw
21 - 26 June, Maastricht, The Netherlands
Conference website: https://attend.ieee.org/wcci-2026/