108 citations · 252 across the 22 of their papers we have counts for
22 papers
Quantum Incremental Learning with Mixed State Prototypes
Yu Wu, Qianli Zhou, Xinyang Deng +3
Incremental learning models are required to learn new classes sequentially without catastrophic forgetting, while operating under parameter and memory constraints. In the Noisy Int…
FibVLA: An Efficient Temporal Vision-Language-Action Model with Fibonacci Sampling
Li Lin, Wujun Xu, Weiwei Meng +3
Vision-language-action models (VLAs), which leverage the cognition of multimodal information to infer physical-world actions, provide a generalized solution for embodied AI applica…
Stochastic Multipath Routing for High-Throughput Entanglement Distribution in Quantum Repeater Networks
Ankit Mishra, Kang Hao Cheong
Quantum repeater networks distribute entanglement over lossy links while many users share a limited pool of entangled pairs. Most existing routing schemes either always use a singl…
Structure-Aware Cooperative Ensemble Evolutionary Optimization on Combinatorial Problems with Multimodal Large Language Models
Jie Zhao, Kang Hao Cheong
Evolutionary algorithms (EAs) have proven effective in exploring the vast solution spaces typical of graph-structured combinatorial problems. However, traditional encoding schemes,…
EduVerse: A User-Defined Multi-Agent Simulation Space for Education Scenario
Yiping Ma, Shiyu Hu, Buyuan Zhu +4
Reproducing cognitive development, group interaction, and long-term evolution in virtual classrooms remains a core challenge for educational AI, as real classrooms integrate open-e…
EduPersona: Benchmarking Subjective Ability Boundaries of Virtual Student Agents
Buyuan Zhu, Shiyu Hu, Yiping Ma +2
As large language models are increasingly integrated into education, virtual student agents are becoming vital for classroom simulation and teacher training. Yet their classroom-or…
Visual Evolutionary Optimization on Graph-Structured Combinatorial Problems with MLLMs: A Case Study of Influence Maximization
Jie Zhao, Kang Hao Cheong
Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditio…
Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial Optimization
Jie Zhao, Kang Hao Cheong, Witold Pedrycz
Graph-structured combinatorial challenges are inherently difficult due to their nonlinear and intricate nature, often rendering traditional computational methods ineffective or exp…
Can Large Language Models Be Trusted as Evolutionary Optimizers for Network-Structured Combinatorial Problems?
Jie Zhao, Tao Wen, Kang Hao Cheong
Large Language Models (LLMs) have shown strong capabilities in language understanding and reasoning across diverse domains. Recently, there has been increasing interest in utilizin…
When LLMs Learn to be Students: The SOEI Framework for Modeling and Evaluating Virtual Student Agents in Educational Interaction
Yiping Ma, Shiyu Hu, Xuchen Li +4
Recent advances in large language models (LLMs) have enabled intelligent tutoring systems, yet the development of LLM-based Virtual Student Agents (LVSAs) remains underexplored. Su…
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning
Shiyu Hu, Xuchen Li, Xuzhao Li +4
Despite rapid progress in large vision-language models (LVLMs), existing video caption benchmarks remain limited in evaluating their alignment with human understanding. Most rely o…
Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
Jie Zhao, Kang Hao Cheong, Yaochu Jin
Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multi-task evolutionary optimization (MTEO), which aims to solve complex problems…
Limit of the Maximum Random Permutation Set Entropy
Jiefeng Zhou, Zhen Li, Kang Hao Cheong +1
The Random Permutation Set (RPS) is a new type of set proposed recently, which can be regarded as the generalization of evidence theory. To measure the uncertainty of RPS, the entr…
Tracking sustainability: co-evolution of economic and ecological activities in the industrialization of the United Kingdom and China
Xiaoyu Hou, Tianyi Zhou, Xianyuan Chang +6
The co-evolution of economic and ecological activities represents one of the fundamental challenges in the realm of sustainable development. This study on the word trends in mainst…
Information fractal dimension of mass function
Chenhui Qiang, Yong Deng, Kang Hao Cheong
Fractal plays an important role in nonlinear science. The most important parameter to model fractal is fractal dimension. Existing information dimension can calculate the dimension…
Alternating active-dormitive strategy enables overtaking by disadvantaged prey through Parrondo's paradox
Tao Wen, Eugene V. Koonin, Kang Hao Cheong
Dormancy is a costly adaptive strategy that is widespread among living organisms inhabiting diverse environments. We explore mathematical models of predator-prey systems, in order…
Identifying influential nodes in complex networks: Effective distance gravity model
Qiuyan Shang, Yong Deng, Kang Hao Cheong
The identification of important nodes in complex networks is an area of exciting growth due to its applications across various disciplines like disease controlling, community findi…
A gradient model for the spatial patterns of cities
Jie Chang, Guofu Yang, Shun Liu +10
The dynamics of city's spatial structures are determined by the coupling of functional components (such as restaurants and shops) and human beings within the city. Yet, there still…
Bargaining with entropy and energy
S. G. Babajanyan, K. H. Cheong, A. E. Allahverdyan
Statistical mechanics is based on interplay between energy minimization and entropy maximization. Here we formalize this interplay via axioms of cooperative game theory (Nash barga…
Passive network evolution promotes group welfare in complex networks
Ye Ye, Xiao Rong Hang, Jin Ming Koh +3
The Parrondo's paradox is a counterintuitive phenomenon in which individually losing strategies, canonically termed game A and game B, are combined to produce winning outcomes. In…
Strategic nomadic-colonial switching: Stochastic noise and subsidence-recovery cycles
Jin Ming Koh, Kang Hao Cheong
Previously, we developed a population model incorporating the Allee effect and periodic environmental fluctuations, in which organisms alternate between nomadic and colonial behavi…
Cross-Issue Solidarity and Truth Convergence in Opinion Dynamics
Zong Xuan Tan, Kang Hao Cheong
How do movements and coalitions which engage with multiple social issues succeed in cross-issue solidarity, and when do they instead become fragmented? To address this, the mechani…