Yuxuan Wan

According to our database, Yuxuan Wan authored at least 33 papers between 2022 and 2025.

Collaborative distances:

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

2025

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing.

Ruicheng Xian, Yuxuan Wan, Han Zhao

CoRR, August, 2025

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training.

Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Hongming Zhang, Haitao Mi, Dong Yu

CoRR, August, 2025

ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents.

Yilei Jiang, Yaozhi Zheng, Yuxuan Wan, Jiaming Han, Qunzhong Wang, Michael R. Lyu, Xiangyu Yue

CoRR, July, 2025

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.

Jingyu Xiao, Ming Wang, Man Ho Lam, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu

CoRR, June, 2025

Learning a Pessimistic Reward Model in RLHF.

Yinglun Xu, Hangoo Kang, Tarun Suresh, Yuxuan Wan, Gagandeep Singh

CoRR, May, 2025

Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data.

Haozhe Si, Yuxuan Wan, Minh Do, Deepak Vasisht, Han Zhao, Hendrik F. Hamann

CoRR, March, 2025

SPERM: sequential pairwise embedding recommendation with MI-FGSM.

Agyemang Paul, Yuxuan Wan, Boyu Chen, Zhefu Wu

Int. J. Mach. Learn. Cybern., February, 2025

FetchBot: Object Fetching in Cluttered Shelves via Zero-Shot Sim2Real.

Weiheng Liu, Yuxuan Wan, Jilong Wang, Yuxuan Kuang, Xuesong Shi, Haoran Li, Dongbin Zhao, Zhizheng Zhang, He Wang

CoRR, February, 2025

DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization.

Yunlong Tang, Yuxuan Wan, Lei Qi, Xin Geng

IEEE Trans. Multim., 2025

LTE-ACN: A Human Activity Recognition System Using LTE Signals and Attention-Guided ConvNeXt Networks.

Zhefu Wu, Chengling Lu, Yuxuan Wan, Jipan Zhu, Tiantian Ma, Shufeng Gong, Agyemang Paul

IEEE Trans. Instrum. Meas., 2025

Divide-and-Conquer: Generating UI Code from Screenshots.

Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu

Proc. ACM Softw. Eng., 2025

A feature enhancement network based on image partitioning in a multi-branch encoder-decoder architecture.

Yuefei Wang, Yutong Zhang, Li Zhang, Yuxuan Wan, Zhixuan Chen, Yuquan Xu, Ruixin Cao, Liangyan Zhao, Yixi Yang, Xi Yu

Knowl. Based Syst., 2025

A segmentation network for generalized lesion extraction with semantic fusion of transformer with value vector enhancement.

Yuefei Wang, Yuanhong Wei, Xi Yu, Jin Wang, Yutong Zhang, Li Zhang, Yuxuan Wan, Zhixuan Chen

Expert Syst. Appl., 2025

Deep learning-based computer-aided diagnostic system for lumbar degenerative diseases classification using MRI.

Yueyao Chen, Qiangtai Huang, Chu Zhang, Junfeng Li, Wensheng Huang, Peiyin Luo, Qiuyi Chen, Ruirui Qi, Yuxuan Wan, Bingsheng Huang, Zhenhua Gao, Xiaofeng Lin, Songxiong Wu, Xianfen Diao

Biomed. Signal Process. Control., 2025

2024

Deep recommendation with iteration directional adversarial training.

Agyemang Paul, Yuxuan Wan, Zhefu Wu, Boyu Chen, Shufeng Gong

Computing, October, 2024

MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs.

Yuxuan Wan, Yi Dong, Jingyu Xiao, Yintong Huo, Wenxuan Wang, Michael R. Lyu

CoRR, 2024

Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation?

Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zhiyao Xu, Michael R. Lyu

CoRR, 2024

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach.

Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, Michael R. Lyu

CoRR, 2024

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series: A UK Biobank Study.

Shuhao Mei, Yuxi Zhou, Jiahao Xu, Yuxuan Wan, Shan Cao, Qinghao Zhao, Shijia Geng, Junqing Xie, Shenda Hong

CoRR, 2024

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu

CoRR, 2024

New Job, New Gender? Measuring the Social Bias in Image Generation Models.

Wenxuan Wang, Haonan Bai, Jen-tse Huang, Yuxuan Wan, Youliang Yuan, Haoyi Qiu, Nanyun Peng, Michael R. Lyu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network.

Yuxuan Wan, Kaichen Zhou, Jinhong Chen, Hao Dong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Research on Intelligent Recognition Algorithm of Container Numbers in Ports Based on Deep Learning.

Zhehao Lin, Chen Dong, Yuxuan Wan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark.

Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael R. Lyu

CoRR, 2023

BiasAsker: Measuring the Bias in Conversational AI System.

Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.

Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang

Proceedings of the International Conference on Machine Learning, 2023

Transferable Unlearnable Examples.

Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Towards Fair Classification against Poisoning Attacks.

Han Xu, Xiaorui Liu, Yuxuan Wan, Jiliang Tang

CoRR, 2022

Probabilistic Categorical Adversarial Attack & Adversarial Training.

Pengfei He, Han Xu, Jie Ren, Yuxuan Wan, Zitao Liu, Jiliang Tang

CoRR, 2022

Defense Against Gradient Leakage Attacks via Learning to Obscure Data.

Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

CoRR, 2022

Towards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.

Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022