InnerVoice Guardian v2.0
The “Heart Whisper Sentinel” youth psychological AI escort system is an innovative artificial intelligence mental health support platform specifically designed to meet the increasing mental health needs of teenagers. This system integrates a variety of cutting-edge technologies, such as artificial intelligence, big data analysis, speech recognition, natural language processing, and blockchain encryption technology, to provide comprehensive, personalized, and secure mental health services for teenagers. One of the core functions of the system is real-time psychological monitoring. It can analyze the emotional expressions, behavioral patterns, and psychological test results of teenagers through intelligent algorithms, thereby accurately identifying potential mental problems. For example, when teenagers exhibit emotional characteristics such as anxiety or depression during their interaction with the system, the system can quickly capture and generate warning information, alerting parents or school mental health counselors to pay attention and intervene in a timely manner.
I am an undergraduate student majoring in Computer Science at Dalian University of Technology. My research interests focus on Embodied AI and Vision-Language-Action (VLA) models, with the core goal of improving the robustness and zero-shot generalization of robots in complex environments.
My recent research focuses on enhancing model generalization. I developed a self-supervised prompt learning framework to bolster the visual robustness of VLA models (submitted to NeurIPS 2026). Additionally, I proposed MGTSM, a meta-learning framework for Open-Vocabulary Pedestrian Attribute Recognition (OVPAR) that effectively bridges the gap between seen and unseen categories (under review at IEEE TMM). I also held an Algorithm Internship at SDIC Intelligence, where I conducted research on multimodal deepfake detection and improved the system’s ability to detect cross-modal inconsistencies in synthetic media.
Currently, as a Research Intern at the College of AI, Tsinghua University, I am exploring the application of World Models in human sequence prediction and building an effective embodied data generation system to support downstream imitation learning and policy training. In parallel, as an Algorithm Intern at Apex Intelligence, I work on Auto Research agents and evaluation benchmarks, with a long-term interest in self-evolving models and ASI.
In the future, I hope to develop reproducible and scalable methods to continuously enhance the reliability and generalization of VLA models in real-world settings.