简历

陈帅 Shuai Chen

算法工程师 · 小米集团小爱算法策略（正式工，2026.07 起）
Algorithm Engineer · Xiaomi XiaoAI · Multimodal LLM / RL / Agent / RSC

📧 shuai_chen@stu.xidian.edu.cn · 📱 15324104859
🔗 Google Scholar · GitHub

工作经历 Work Experience

小米集团 Xiaomi · 小爱算法策略（大模型视觉多模态组）

正式工 Full-time Algorithm Engineer · 2026.07 – 至今 · Beijing
实习 Intern · 2025.02 – 2025.09

小爱同学 GUI 多模态内容理解

• 有屏场景（手机 / Pad / 智能座舱）下 13 类信息（地址、电话、邮箱、航班号、快递、日程等）的任意界面信息抽取
• 从错误 case 长尾分析入手，拓展场景并构建 OCR + MLLM 联合标注数据
• 方法路线：Qwen2.5-VL 蒸馏 → ScreenR1-SFT → RL（改进 GRPO 为 off-policy）→ ScreenR1-COT（多模态慢思考）
• 线上指标：打电话 89%→96.27%；导航 88%→95.28%；预识别 90%→95%
• 相关论文投稿 ICLR 2026

中国电科智能科技研究院

《电磁基础模型构建技术》· 2024.01 – 2024.12

• 信号重编程 → LLM token；LLM 基座下游微调；预训练任务 + test-time scaling + 数据清洗
• LoRA + 2×A100 半精度预训练 / 全精度微调部署

中航工业西安飞行自动控制研究所

《无人机平台上的高精度小目标检测系统》· 2023.06 – 2023.09

• 传统 CV 粗定位 + 热图 DL 精检；CPU–GPU 算子迁移、剪枝与知识蒸馏
• 达成单帧 28.4ms、定位误差 ≤5 px 工业标准

教育背景 Education

西安电子科技大学（211）

• 硕士 · 计算机科学与技术（A-）· 2023.09 – 至今
• 本科 · 人工智能 · 2019.09 – 2023.06

主修课程：数据结构、微机原理、智能数据挖掘、离散数学、统计学、高等数学、复变函数、模式识别、机器学习、信息论、自然语言处理等。

校园经历：已发表 SCI 论文 6 篇 · 日本东京大学学术合作交流（2023.03–至今）· 数学建模培训（校/国/美赛）· 西电脱口秀俱乐部 · 大创（智能农业 + 高光谱分析）

荣誉奖项 Honors & Awards

• 本科 GPA Top 10%
• 国家奖学金
• 西电校长奖提名
• 西电数学建模校赛特等奖（1 次）
• 华为产教结合奖学金（1 次）
• 北斗杯全国青少年科技创新大赛本科生实物组 全国一等奖（2021.05）
• XX 杯复杂电磁环境对抗 全国三等奖（2024.08）

研究兴趣 Research Interests

多模态大模型（M-LLM）· 强化学习（RL）· GUI Agent / System Prompt Learning · 认知无线电（RSC）· 电磁大模型

技能 Skills

• 框架：PyTorch / TensorFlow / MindSpore / HuggingFace
• 语言：Python / C++ / Matlab
• LLM：GPT-2、LLaMA-3.2、BERT、Qwen2.5-VL 的重编程、微调与推理；数据清洗与筛选；LoRA；GRPO / off-policy RL
• 语言能力：英语 CET-4 / CET-6（读研免修）
• 工具：Office、剪映、PDF 编辑

授权专利 Patents

• 学生一作，CN114494873：一种基于 CutMix-ResNet 的半监督建筑物变化检测方法及系统（发明专利）

论文 Publications

SCAW: Exploring Semantic Structures of Radio Signals via Soft Top-k Contrastive and Adaptive Consistency With Wavelet Refinement

Y Zu, S Yang, Z Feng, X Zhang, Y Lu, S Chen, J Liu, Q Pan. "SCAW: Exploring Semantic Structures of Radio Signals via Soft Top-k Contrastive and Adaptive Consistency With Wavelet Refinement." IEEE TCCN, 2026.

Time-Aware Attention Network for Multi-Step Future Prediction in Wastewater Treatment

Y Zu, J Ji, S Chen, Z Feng. "Time-Aware Attention Network for Multi-Step Future Prediction in Wastewater Treatment." Journal of Environmental Management, 411, 130193, 2026.

MM-CL: Enhancing Modulation Classification Through Multi-Modal Contrastive Learning with Phase Density

J Liu, S Yang, Z Feng, Q Pan, Y Ma, S Chen, Y Zu. "MM-CL: Enhancing Modulation Classification Through Multi-Modal Contrastive Learning with Phase Density." IEEE TCCN, 2026.

ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning

Y Wang, S Chen, Z Li, T Liu, C Song, J Jiang, J Zhu, P Gao, B Qin. "ACPO: Adaptive Curriculum Policy Optimization for Aligning Vision-Language Models in Complex Reasoning." arXiv:2510.00690, 2025.

Contrastive Learning with Feature-Level Augmentation for Wireless Signal Representation

S Mu, S Chen, Y Zu, Z Feng, S Yang. "Contrastive Learning with Feature-Level Augmentation for Wireless Signal Representation." Electronics, 14(13), 2728, 2025.

Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network

J Ji, Z Feng, S Chen. "Enhanced Prediction of Partial Nitrification-Anammox Process in Wastewater Treatment by Developing an Attention-Based Deep Learning Network." Journal of Environmental Management, 374, 124012, 2025. (学生一作)

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings

S Chen, Y Zu, Z Feng, S Yang, M Li. "RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings." arXiv:2501.17888, 2025. (学生一作; extended version under review at IEEE JSAC, CCF-A)

Generative Model with Sinkhorn–Knopp Loss for Unsupervised Signal Modulation Clustering

J Liu, Z Feng, S Yang, S Chen, Y Ma. "Generative Model with Sinkhorn–Knopp Loss for Unsupervised Signal Modulation Clustering." IEEE TII, 20(11), 12860-12870, 2024.

DAE-GSP: Discriminative Autoencoder with Gaussian Selective Patch for Multimodal Remote Sensing Image Classification

M Li, Z Feng, S Yang, Y Ma, L Song, S Chen, L Jiao, J Zhang. "DAE-GSP: Discriminative Autoencoder with Gaussian Selective Patch for Multimodal Remote Sensing Image Classification." IEEE TGRS, 63, 1-14, 2024.

Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification

S Mu, Y Zu, S Chen, S Yang, Z Feng, J Zhang. "Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification." Remote Sensing, 16(24), 4635, 2024.

A Generative Self-Supervised Framework for Cognitive Radio Leveraging Time-Frequency Features and Attention-Based Fusion

S Chen, Z Feng, S Yang, Y Ma, J Liu, Z Qi. "A Generative Self-Supervised Framework for Cognitive Radio Leveraging Time-Frequency Features and Attention-Based Fusion." IEEE Transactions on Wireless Communications, 24(3), 1866-1880, 2024. (学生一作)

Learning Temporal–Spectral Feature Fusion Representation for Radio Signal Classification

Z Feng, S Chen, Y Ma, Y Gao, S Yang. "Learning Temporal–Spectral Feature Fusion Representation for Radio Signal Classification." IEEE Transactions on Industrial Informatics, 21(1), 791-800, 2024. (学生一作 / co-first author)

完整元数据与 PDF 链接见 Publications 与 Google Scholar。

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