CV
Curriculum vitae of Gang Xie, a master's student working on brain-inspired multimodal affective computing and reliable AI systems.
Contact Information
| Name | Gang Xie |
| Professional Title | Master's Student in Computer Science |
| siegang@163.com |
Professional Summary
Master’s student at Hangzhou Dianzi University researching brain-inspired multimodal affective computing and reliable AI systems.
Experience
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2025 - 2026 Hangzhou, China
Algorithm Engineer Intern
Diling Zhiyuan Technology Co., Ltd.
Contributed to algorithm development and engineering projects for intelligent content and information processing.
Education
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2024 - 2027 Hangzhou, China
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2019 - 2023 Kunming, China
Bachelor's degree
Kunming University of Science and Technology
Intelligent Science and Technology
Projects
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2025 - 2026 PROSE
LLM reflection-driven multi-objective evolution for robust prompt optimization in multimodal content moderation.
- Combined performance with a semantic abstraction proxy on a Pareto frontier to reduce case memorization and shortcut learning.
- Built configuration-driven task adapters, heterogeneous model pools, concurrent evaluation, SQLite persistence, lineage tracking, and checkpoint recovery.
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2026 - 2026 IntentSafe-CN
Multi-layer diagnostic benchmark for intent-aware Chinese harmful-content detection.
- Studied the contribution of surface signals, context, and communicative intent to downstream safety decisions.
- Designed experiments, trained a lightweight intent model with LoRA, analyzed results, and prepared paper figures.
Publications
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2026 From Enumeration to Principle: Robust Prompt Optimization via Semantic Reflection and Multi-Objective Evolution
Findings of EMNLP 2026
Accepted first-author paper introducing PROSE.
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2026 NeuroSIFT: A Biologically-Inspired Framework with Explicit Signal-Noise Separation for Robust Multimodal Emotion Recognition
ICASSP 2026
Accepted first-author paper on robust multimodal emotion recognition.
Skills
Research (Advanced): Multimodal affective computing, multimodal emotion recognition, multimodal sentiment analysis, robustness, signal-noise separation
Large language models (Advanced): Prompt optimization, semantic reflection, multi-objective evolution, content safety, intent-aware detection
Engineering (Advanced): Python, PyTorch, Transformers, PEFT/LoRA, FastAPI, REST, SQLite, FAISS, Git
Awards
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2025 Huawei Software Elite Challenge, Hangzhou-Xiamen Division, Second Prize
Huawei
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2022 Blue Bridge Cup, National Second Prize
Blue Bridge Cup