papers

Publications (8)

physics.ed-ph2025

Particle Builder A Board Game for the Teaching of the Standard Model of Particle Physics at a Secondary Level

Lachlan McGinness, Yutong Ma, Mohammad Attar +14

We present Particle Builder, an online board game which teaches students about concepts from the Standard Model of Particle Physics at a high school level. This short activity resu…

cs.CV2023

Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning

Yeming Chen, Siyu Zhang, Yaoru Sun +2

With the success of self-supervised learning, multimodal foundation models have rapidly adapted a wide range of downstream tasks driven by vision and language (VL) pretraining. Sta…

cs.CL2025

AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening

Frank P. -W. Lo, Jianing Qiu, Zeyu Wang +4

Resume screening is a critical yet time-intensive process in talent acquisition, requiring recruiters to analyze vast volume of job applications while remaining objective, accurate…

cs.LG2024

Guided Cooperation in Hierarchical Reinforcement Learning via Model-based Rollout

Haoran Wang, Zeshen Tang, Leya Yang +4

Goal-conditioned hierarchical reinforcement learning (HRL) presents a promising approach for enabling effective exploration in complex, long-horizon reinforcement learning (RL) tas…

physics.ed-ph2025

Particle Builder -- Learn about the Standard Model while playing against an AI

Mohammad Attar, Andrew Carse, Yeming Chen +13

Particle Builder Online is a web-based education game designed for high school physics students. Students can play against an AI opponent or peers to familiarise themselves with th…

cs.CV2025

Improving vision-language alignment with graph spiking hybrid Networks

Siyu Zhang, Wenzhe Liu, Yeming Chen +3

To bridge the semantic gap between vision and language (VL), it is necessary to develop a good alignment strategy, which includes handling semantic diversity, abstract representati…