Note: * stands for equal contribution

---

Conference Papers

1. INTERSPEECH

   Singing Voice Data Scaling-up: An Introduction to ACE-Opencpop and KiSing-v2

   Jiatong Shi*, Yueqian Lin*, Xinyi Bai, Keyi Zhang, Yuning Wu, Yuxun Tang, Yifeng Yu, Qin Jin, Shinji Watanabe

   Interspeech, 2024.

   Paper Code
2. ICPR

   TMCSPEECH: A Chinese TV and Movie Speech Dataset with Character Descriptions and a Character-Based Voice Generation Model

   Dong Liu, Yueqian Lin, Zexin Cai, Yunfei Xu, Ming Li

   International Conference on Pattern Recognition, 2024

   Website
3. ICLR

   SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion

   Yueqian Lin*, Jingyang Zhang*, Yiran Chen, Hai Li

   International Conference on Learning Representations 2024 in the Tiny Papers track.

   Paper Code
4. NCMMSC

   EEG-Based Speech Envelope Decoding: Structured State Space and U-Net Model Integration

   Yueqian Lin, Ming Li

   National Conference on Man-Machine Speech Communication, 2023.

   Paper
5. IEEE ASRU

   BiSinger: Bilingual Singing Voice Synthesis

   Huali Zhou*, Yueqian Lin*, Yao Shi, Peng Sun, Ming Li

   IEEE Automatic Speech Recognition & Understanding, 2023.

   Paper Code Demo Presentation
6. IEEE VIS

   RTVis: Research Trend Visualization Toolkit

   Xingyu Shen*, Yueqian Lin*, Zhixian Zhang*, Xin Tong

   IEEE VIS: Visualization & Visual Analytics, 2023.

   Paper Code Demo
7. DistShift

   OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

   Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

   NeurIPS Workshop on Distribution Shifts: New Frontiers with Foundation Models, 2023.

   Paper Code Leaderboard Oral presentation

---

Journal Papers

8. ACS Macro Letters

   In-situ Atomic Force Microscopy Tracking of Nanoparticle Diffusion in Semicrystalline Polymers

   Kamlesh Bornani, Nicholas Mendez, Abdullah S. Altorbaq, Alejandro J. Muller, Yueqian Lin, Eric Zhonghang Qu, Kai Zhang, Sanat K. Kumar, Linda S. Schadler

   ACS Macro Letters

   Paper Code Post

---

1. 

   Enhancing Feature Extraction and OOD Detection through Bayesian Optimizer-Trained Models

   This project is developed to validate a Bayesian-based optimizer for training feature extraction models, while also innovating a new data augmentation method to enhance model robustness and safety.

   Report Code
2. 

   Hands on Machine Learning: an Introductive Website Approach

   This project is an interactive website to introduce the basic concepts of machine learning and deep learning for beginners.

   Website Code
3. 

   Musical Note Detection through Classical Computer Vision Methods

   This project aims to transcripe musical notes from a sheet music image using traditional computer vision techniques like Hough transform, morphological operations, and template matching.

   Code