| 2026 | EACL | GAST: Gradient-aligned Sparse Tuning of Large Language Models with Data-layer Selection. | Kai Yao, Zhenghan Song, Kaixin Wu, Mingjie Zhong, Danzhao Cheng, Zhaorui Tan, Yixin Ji, Penglei Gao |
| 2026 | VR | Curating a Virtual Exhibition Through Generative AI and VR Sketches. | Kai Yao, Cancan Jin, Haoran Nie, Shuyan Chen, Kaiwen Li, Ningning Xu, Yiping Zhang |
| 2025 | AAAI | ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression. | Kai Yao, Zhaorui Tan, Tiandi Ye, Lichun Li, Yuan Zhao, Wenyan Liu, Wei Wang, Jianke Zhu |
| 2025 | ACL | GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models. | Kai Yao, Zhaorui Tan, Penglei Gao, Lichun Li, Kaixin Wu, Yinggui Wang, Yuan Zhao, Yixin Ji, Jianke Zhu, Wei Wang |
| 2025 | CIKM | Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning. | Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao |
| 2024 | AAAI | Unraveling Batch Normalization for Realistic Test-Time Adaptation. | Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang |
| 2024 | ECCV | Unleashing the Power of Prompt-Driven Nucleus Instance Segmentation. | Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Sunyi Zheng, Jingxiong Li, Honglin Li, Yuxuan Sun, Ruizhe Guo, Lin Yang |
| 2024 | EMNLP | Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. | Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu |
| 2023 | AAAI | Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. | Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun |
| 2023 | ADC | On Directed Densest Subgraph Detection. | Kai Yao, Xin Yang, Lijun Chang |
| 2023 | CIKM | Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. | Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang |
| 2023 | ICDE | Verification-Free Approaches to Efficient Locally Densest Subgraph Discovery. | Tran Ba Trung, Lijun Chang, Tien Long Nguyen, Kai Yao, Huynh Thi Thanh Binh |
| 2022 | ECCV | Outpainting by Queries. | Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang |
| 2022 | ICDE | Computing Maximum Structural Balanced Cliques in Signed Graphs. | Kai Yao, Lijun Chang, Lu Qin |
| 2021 | IWCMC | Pedestrian Stride-Length Estimation Algorithm Based on DTW Motion Mode Recognition. | Guoquan Li, Kai Yao, Enxu Geng, Jinzhao Lin, Yu Pang |
| 2020 | ETFA | Centroid Loss for Weakly-Supervised Semantic Segmentation in a Quality-Control Application. | Kai Yao, Alberto Ortiz, Francisco Bonnn-Pascual |
| 2019 | ETFA | A DCNN-based Arbitrarily-Oriented Object Detector for a Quality-Control Application. | Kai Yao, Alberto Ortiz, Francisco Bonnn-Pascual |
| 2018 | ICONIP | Improving Deep Neural Network Performance with Kernelized Min-Max Objective. | Kai Yao, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2017 | DEXA | Group Top-k Spatial Keyword Query Processing in Road Networks. | Hermann B. Ekomie, Kai Yao, Jianjun Li, Guohui Li, Yanhong Li |
| 2016 | ANT | Link Prediction Based on Common-Neighbors for Dynamic Social Network. | Lin Yao, Luning Wang, Lv Pan, Kai Yao |
| 2016 | APWEB | Efficient Group Top-k Spatial Keyword Query Processing. | Kai Yao, Jianjun Li, Guohui Li, Changyin Luo |
| 2015 | IECON | Novel family of forward mode three-level direct AC converters. | Lei Li, Yue Guan, Aihua Ma, He Shi, Kai Yao, Jianhu Yan, Lili Fan |
| 2011 | VCIP | A novel parallel encoding framework for scalable video coding. | Kai Yao, Jun Sun, Jiaying Liu, Zongming Guo, Longshe Huo |
| 2010 | UIC | An ECG-Based Signal Key Establishment Protocol in Body Area Networks. | Lin Yao, Bing Liu, Kai Yao, Guowei Wu, Jia Wang |
| 2007 | ICCS | A Graph-Theory Algorithm for WCET Estimation. | Guowei Wu, Kai Yao |
| 2007 | ICCS | A Low Complexity Intrusion Detection Algorithm. | Lin Yao, Kai Yao |