Mingyang Wan

According to our database, Mingyang Wan authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

LLMEval-3: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models.

Ming Zhang, Yujiong Shen, Jingyi Deng, Yuhui Wang, Yue Zhang, Junzhe Wang, Shichun Liu, Shihan Dou, Huayu Sha, Qiyuan Peng, Changhao Jiang, Jingqi Tong, Yilong Wu, Zhihao Zhang, Mingqi Wu, Zhiheng Xi, Mingxu Chai, Tao Liang, Zhihui Fei, Zhen Wang, Mingyang Wan, Guojun Ma, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, August, 2025

SpeechRole: A Large-Scale Dataset and Benchmark for Evaluating Speech Role-Playing Agents.

Changhao Jiang, Jiajun Sun, Yifei Cao, Jiabao Zhuang, Hui Li, Xiaoran Fan, Ming Zhang, Junjie Ye, Shihan Dou, Zhiheng Xi, Jingqi Tong, Yilong Wu, Baoyu Fan, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, August, 2025

Code2Logic: Game-Code-Driven Data Synthesis for Enhancing VLMs General Reasoning.

Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Changhao Jiang, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, May, 2025

Route Sparse Autoencoder to Interpret Large Language Models.

Wei Shi, Sihang Li, Tao Liang, Mingyang Wan, Gojun Ma, Xiang Wang, Xiangnan He

CoRR, March, 2025

AnyEdit: Edit Any Knowledge Encoded in Language Models.

Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua

CoRR, February, 2025

Predicting Large Language Model Capabilities on Closed-Book QA Tasks Using Only Information Available Prior to Training.

Changhao Jiang, Ming Zhang, Junjie Ye, Xiaoran Fan, Yifei Cao, Jiajun Sun, Zhiheng Xi, Shihan Dou, Yi Dong, Yujiong Shen, Jingqi Tong, Zhen Wang, Tao Liang, Zhihui Fei, Mingyang Wan, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang

CoRR, February, 2025

KPEE: A Two-Stage Proposal-Based Reformulation of Event Extraction.

Hengrui Song, Mingyang Wan, Jiajun Wang, Tao Liang, Shannan Yan, Chun Yuan, Guojun Ma

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts.

Ming Zhang, Yuhui Wang, Yujiong Shen, Tingyi Yang, Changhao Jiang, Yilong Wu, Shihan Dou, Qinhao Chen, Zhiheng Xi, Zhihao Zhang, Yi Dong, Zhen Wang, Zhihui Fei, Mingyang Wan, Tao Liang, Guojun Ma, Qi Zhang, Tao Gui, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution.

Xi Su, Xiangfei Shen, Mingyang Wan, Jing Nie, Lihui Chen, Haijun Liu, Xichuan Zhou

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Smart Issue Detection for Large-Scale Online Service Systems Using Multi-Channel Data.

Liushan Chen, Yu Pei, Mingyang Wan, Zhihui Fei, Tao Liang, Guojun Ma

Proceedings of the Fundamental Approaches to Software Engineering, 2024

2023

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey.

Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou

ACM Trans. Knowl. Discov. Data, April, 2023

2022

Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis.

Jianyang Zhang, Tao Liang, Mingyang Wan, Guowu Yang, Fengmao Lv

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification.

Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Modeling Techniques for Machine Learning Fairness: A Survey.

Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou

CoRR, 2021

2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.

Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020