Kun Wan

According to our database, Kun Wan authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning.

Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu

CoRR, June, 2025

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training.

Zhenting Wang, Guofeng Cui, Kun Wan, Wentian Zhao

CoRR, April, 2025

From 16-Bit to 1-Bit: Visual KV Cache Quantization for Memory-Efficient Multimodal Large Language Models.

Zeliang Zhang, Yifan Zhu, Susan Liang, Zhiyuan Wang, Jiani Liu, Haiting Lin, Mingjie Zhao, Chenliang Xu, Kun Wan, Wentian Zhao

CoRR, February, 2025

A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization.

Xingzhe He, Zhiwen Cao, Nicholas I. Kolkin, Lantao Yu, Kun Wan, Helge Rhodin, Ratheesh Kalarot

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation.

Yu-Jhe Li, Xinyang Zhang, Kun Wan, Lantao Yu, Ajinkya Kale, Xin Lu

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, Daniel Miranda, Ajinkya Kale, Yapeng Tian

CoRR, 2024

Quadratic Is Not What You Need For Multimodal Large Language Models.

Phu Pham, Wentian Zhao, Kun Wan, Yu-Jhe Li, Zeliang Zhang, Daniel Miranda, Ajinkya Kale, Chenliang Xu

CoRR, 2024

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, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

Compiler-Based Efficient CNN Model Construction for 5G Edge Devices.

Kun Wan, Xiaolei Liu, Jianyu Yu, Xiaosong Zhang, Xiaojiang Du, Nadra Guizani

IEEE Trans. Intell. Transp. Syst., 2021

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, Kang Yang, Jie Yang, Yufei Ding

Bioinform., 2020

Weighted-Sampling Audio Adversarial Example Attack.

Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adversarial attack on Speech-to-Text Recognition Models.

Xiaolei Liu, Kun Wan, Yufei Ding

CoRR, 2019

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Penetrating the Fog: the Path to Efficient CNN Models.

Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding

CoRR, 2018

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds.

Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding

CoRR, 2018

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout.

Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding

CoRR, 2018

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy.

Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding

CoRR, 2018

2017

Adaptive Modular Exponentiation Methods v.s. Python's Power Function.

Shiyu Ji, Kun Wan

CoRR, 2017

An Asymptotically Tighter Bound on Sampling for Frequent Itemsets Mining.

Shiyu Ji, Kun Wan

CoRR, 2017

k-Anonymously Private Search over Encrypted Data.

Shiyu Ji, Kun Wan

CoRR, 2017