More than ten presentations at international and national conferences on physical education, sports training and performance analysis — with one question underneath all of them: how do you bring computer vision and language models onto the fencing piste without losing what a coach knows?累计进行国际及全国会议报告 10 余次,主题涵盖体育教育、运动训练与运动表现分析。所有工作指向同一个问题:如何把计算机视觉与大语言模型带上击剑剑道,而不丢失教练真正掌握的东西?
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In progress在研课题
M.S. thesis · Beijing Sport University · 2024 –硕士学位论文 · 北京体育大学 · 2024 –
Injury Risk Assessment in Youth Sabre Fencing Based on Computer Vision and Large Language Models基于计算机视觉与大语言模型的青少年佩剑损伤风险评估研究
The first application of two-stage SFT + DPO alignment (Qwen2.5-7B + LoRA, LlamaFactory) to sports injury-risk assessment, validated against national-level coach evaluation.首次将 SFT + DPO 两阶段对齐方法(Qwen2.5-7B + LoRA,LlamaFactory)应用于运动损伤风险评估,并以国家级教练员评估作为验证基准。
YOLOv8-Pose
Qwen2.5-7B
LoRA / LlamaFactory
SFT + DPO
Markerless Motion Capture
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Conference papers & talks会议论文与报告
20262026
Who Coaches the Coach? — Augmenting Pedagogical Decision-Making Through Expert-Aligned AI in Adolescent Sabre Training谁来教练教练?—— 以专家对齐的人工智能增强青少年佩剑训练中的教学决策
Invited address, postgraduate scholar · 17th China Education Symposium, Harvard Graduate School of Education · Cambridge, MA, USA青年学者特邀报告 · 第十七届哈佛中国教育论坛,哈佛大学教育研究生院 · 美国剑桥
20262026
Developmental Sequence of Sabre Lunge Technique佩剑弓步技术的发展序列研究
Ma, J., & Zhang, L. · International Conference on Sport, Physical Activity and Health (ICSPAH 2026)马佳艺,张力 · 国际体育、身体活动与健康会议(ICSPAH 2026)专题报告
20252025
Markerless Motion-Capture–Based Early-Warning Model for Lower-Limb Injuries in Fencing Athletes基于无标记动作捕捉的佩剑运动员下肢损伤预警研究
Ma, J., & Zhang, L. · 14th National Congress on Sports Science, China马佳艺,张力 · 第十四届全国体育科学大会专题报告
20252025
Deep-Learning-Based Precision Recognition and Analysis System for Sabre Techniques基于深度学习的佩剑动作精准识别与分析系统研究
Ma, J., & Zhang, L. · 2nd National Conference on Artificial Intelligence in Sports, China马佳艺,张力 · 第二届全国体育人工智能大会专题报告
20252025
Performance-Training Games Improve Fencing Techniques by Affecting Physical and Cognitive Function in High-School Athletes表现性训练游戏通过影响身体与认知功能提升高中生击剑技术
Ma, J., & Zhang, L. · Asian Society for Coaching Science Conference (ASCS 2025)马佳艺,张力 · 亚洲教练科学学会年会(ASCS 2025)
20242024
Deep-Learning-Based Accurate Recognition and Analysis of Sabre Movement基于深度学习的佩剑动作精准识别与分析
Ma, J., Qu, R., Zhang, Y., et al., & Zhang, L. · ICSTPA 2024 · EI indexed马佳艺,曲润,张洋 等,张力 · 国际运动训练与表现分析会议(ICSTPA 2024)· EI 收录
20242024
Effects of Experimental Game-Based Training on Promoting Physical Fitness of High-School Fencing Athletes实验性游戏训练法对促进高中生击剑运动员体质健康的影响
Poster · International Symposium on Embodied Cognition, Yale Center for Brain and Mind Health · New Haven, CT, USA海报展示 · 具身认知国际研讨会,耶鲁大学脑与心智健康中心 · 美国纽黑文
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Applied projects应用项目
Hackathon · full stack · Aug 2026黑客松 · 全栈 · 2026.08
毫厘 · PROOF OF CALL毫厘 · PROOF OF CALL
An evidence-chain system for right-of-way calls in sabre. It does not replace the referee — it makes the call auditable. Selected for the SheNicest 1000-person hackathon, software track.佩剑对攻判罚的证据链系统。它不代替裁判判罚,只让每一次判决有据可查。入选千人 SheNicest 黑客松软件赛道。
Fencing Movement Recognition Mini-Program V1.0击剑动作识别小程序 V1.0
Model training and mini-program development.动作识别模型训练与小程序开发。
Beijing Information Sci-Tech University北京信息科技大学
AI Motion Recognition for Pickleball Skill Analysis基于 AI 动作识别的匹克球运动技能分析
Computer-vision human-motion recognition applied to pickleball stroke and footwork analysis. Website development and model training.将基于计算机视觉的人体动作识别应用于匹克球击球与移动技术分析。负责网站开发与模型训练。
Expert Chain-of-Thought Simulation in Épée Training专家思维链仿真在重剑训练中的应用
Amateur épée athletes face delayed movement feedback and injury risk that is hard to spot in advance. This project reproduces a senior coach's diagnostic pathway as an executable chain of thought.业余重剑选手常面临动作反馈滞后、损伤风险难以前置识别的问题。本项目以可执行的专家思维链仿真复现资深教练的诊断路径。
Épée Coach · six-dimension indicator system and five-step expert chain-of-thought frameworkÉpée Coach · 六维度指标体系与五步专家思维链框架
Research group member · First Prize课题组成员 · 一等奖
Sports Games in Junior-High PE Teaching体育游戏在初中体育教学中的开展现状
PE Teaching & Research Award, First Prize.体育教研一等奖。