| 2026 | ACL | Inference-Time Feedback for Reasoning Controllability in Diffusion Language Models. | Clovis Barbour, Huixin Zhan |
| 2025 | MICCAI | Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. | Huixin Zhan, Jason H. Moore |
| 2024 | ICANN | Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. | Liyuan Gao, Huixin Zhan, Victor S. Sheng |
| 2024 | IJCNN | Privacy-Preserving Unsupervised Spherical Text Embeddings. | Huixin Zhan, Liyuan Gao, Victor S. Sheng |
| 2024 | SDM | Robust Sparse Online Learning for Data Streams with Streaming Features. | Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang |
| 2023 | AAAI | Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). | Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng |
| 2023 | AAAI | Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). | Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng |
| 2023 | AAAI | Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. | Huixin Zhan, Victor S. Sheng |
| 2023 | CIKM | Simplex2vec Backward: From Vectors Back to Simplicial Complex. | Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | DSAA | Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. | Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | SMC | Group Lasso with Checkpoints Selection for Biological Data Regression. | Huixin Zhan, Yifan Wang |
| 2022 | ICDM | Projection Dual Averaging Based Second-order Online Learning. | Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang |
| 2022 | IPMU | Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. | Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng |
| 2022 | IPMU | Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. | Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng |
| 2021 | ACML | K | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | CIKM | Multi-objective Privacy-preserving Text Representation Learning. | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |