k-Anonymously Private Search over Encrypted Data. - Shiyu Ji; Kun Wan 001 (CoRR, 2017)

An Asymptotically Tighter Bound on Sampling for Frequent Itemsets Mining. - Shiyu Ji; Kun Wan 001 (CoRR, 2017)

Adaptive Modular Exponentiation Methods v.s. Python's Power Function. - Shiyu Ji; Kun Wan 001 (CoRR, 2017)

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. - Boyuan Feng; Kun Wan 001; Shu Yang; Yufei Ding 001 (CoRR, 2018)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Boyuan Feng; Lingwei Xie; Yufei Ding 001 (CoRR, 2018)

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Lingwei Xie; Song He; Shu Yang; Boyuan Feng; Kun Wan 001; Zhongnan Zhang; Xiaochen Bo; Yufei Ding 001 (CoRR, 2018)

Penetrating the Fog: the Path to Efficient CNN Models. - Kun Wan 001; Boyuan Feng; Shu Yang; Yufei Ding 001 (CoRR, 2018)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Shu Yang; Boyuan Feng; Yufei Ding 001; Lingwei Xie (ICTAI, 2019)

Adversarial attack on Speech-to-Text Recognition Models. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001 (CoRR, 2019)

Weighted-Sampling Audio Adversarial Example Attack. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001; Xiaosong Zhang 001; Qingxin Zhu (AAAI, 2020)

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. - Lingwei Xie; Song He; Zhongnan Zhang; Kunhui Lin; Xiaochen Bo; Shu Yang; Boyuan Feng; Kun Wan 001; Kang Yang; Jie Yang; Yufei Ding 001 (Bioinform., 2020)

Compiler-Based Efficient CNN Model Construction for 5G Edge Devices. - Kun Wan 001; Xiaolei Liu 001; Jianyu Yu; Xiaosong Zhang 001; Xiaojiang Du; Nadra Guizani (IEEE Trans. Intell. Transp. Syst., 2021)

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. - Lu Ling; Yichen Sheng; Zhi Tu; Wentian Zhao; Cheng Xin; Kun Wan 001; Lantao Yu; Qianyu Guo; Zixun Yu; Yawen Lu; Xuanmao Li; Xingpeng Sun; et al. (CVPR, 2024)

Quadratic Is Not What You Need For Multimodal Large Language Models. - Phu Pham; Wentian Zhao; Kun Wan 001; Yu-Jhe Li; Zeliang Zhang; Daniel Miranda; Ajinkya Kale; Chenliang Xu (CoRR, 2024)

Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach. - Shijian Deng; Wentian Zhao; Yu-Jhe Li; Kun Wan 001; Daniel Miranda; Ajinkya Kale; Yapeng Tian (CoRR, 2024)

Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation. - Yu-Jhe Li; Xinyang Zhang; Kun Wan 001; Lantao Yu; Ajinkya Kale; Xin Lu (CoRR, 2024)

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization. - Xingzhe He; Zhiwen Cao; Nicholas I. Kolkin; Lantao Yu; Kun Wan 001; Helge Rhodin; Ratheesh Kalarot (WACV, 2025)

From 16-Bit to 1-Bit: Visual KV Cache Quantization for Memory-Efficient Multimodal Large Language Models. - Zeliang Zhang; Yifan Zhu 003; Susan Liang; Zhiyuan Wang; Jiani Liu 013; Haiting Lin; Mingjie Zhao; Chenliang Xu; Kun Wan 001; Wentian Zhao (CoRR, 2025)

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training. - Zhenting Wang; Guofeng Cui; Kun Wan 001; Wentian Zhao (CoRR, 2025)

Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning. - Jiayi Yuan 001; Hao Li; Xinheng Ding; Wenya Xie; Yu-Jhe Li; Wentian Zhao; Kun Wan 001; Jing Shi; Xia Hu 001; Zirui Liu 001 (CoRR, 2025)