Overview
I hold a Bachelor's degree in Software Engineering from the University of Electronic Science and Technology of China (UESTC), and I am currently a PhD candidate in Design. My academic background combines technical training with a human-centered design perspective, enabling me to explore research across disciplines.
My research is at the intersection of Artificial Intelligence, Music and Audio Processing, and Human-Computer Interaction. My current work involves building trustworthy intelligent multi-modal musical systems and applications in scenarios like e-commerce, digital health, especially exploring how music affects users' emotions.
Outside of research, I value a well-rounded lifestyle. I enjoy running and swimming regularly to stay active and maintain focus. Music also plays an important role in my life—I often spend my free time playing the guitar, which helps me relax and think creatively.
I hope to contribute to the development of interactive systems that are not only intelligent and efficient but also emotionally engaging and ethically designed.
Research Achievements
1. Zihao Wang, Shulei Ji, Le Ma, Yuhang Jin, Shun Lei, Jianyi Chen, Haoying Fu, Roger Dannenberg, Kejun Zhang. "Multi-Accent Mandarin Dry-Vocal Singing Dataset: Benchmark for Singing Accent Recognition." ACM Multimedia (MM), 2025.
2. Zihao Wang*, Le Ma*(co-first author), Yuhang Jin, Yongsheng Feng, Xin Pan, Shulei Ji, Kejun Zhang (2025). "AI-Assisted Human-Pet Artistic Musical Co-Creation for Wellness Therapy." International Joint Conferences on Artificial Intelligence(IJCAI), 2025.
3. Jiaxing Yu, XindaWu, Yunfei Xu, Tieyao Zhang, SongruoyaoWu, Le Ma, Kejun Zhang. "SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training." Advancement of Artificial Intelligence (AAAI), 2025.
4. Zihao Wang*, Le Ma*(co-first author), Chen Zhang, Bo Han, Yunfei Xu, Yikai Wang, Xinyi Chen, Haorong Hong, Wenbo Liu, Xinda Wu, Kejun Zhang. "REMAST: Real-time Emotion-Based Music Arrangement with Soft Transition." IEEE Transactions on Affective Computing, 2025.
5. Le Ma, Xinda Wu, Ruiyuan Tang, Chongjun Zhong, Kejun Zhang (2023). "YuYin: A Multi-Task Learning Model of Multi-Modal E-commerce Background Music Recommendation." EURASIP Journal on Audio, Speech, and Music Processing, 2023
6. Le Ma, Bo Xue, Jia Wu. Centralized Traffic Signal Control for Multiple Intersections based on Sequence-to-Sequence Model and Attention Mechanism. ITSC, 2021.
