Hongnan Ma

According to our database, Hongnan Ma authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

StakeBench: Evaluating Language Understanding Grounded in Market Commitment.

Yunhua Pei, Jingyu Hu, Yiwei Shi, Hongnan Ma, Weiru Liu, John Cartlidge

CoRR, May, 2026

CreativeGame:Toward Mechanic-Aware Creative Game Generation.

Hongnan Ma, Han Wang, Shenglin Wang, Tieyue Yin, Yiwei Shi, Yucong Huang, Yingtian Zou, Muning Wen, Mengyue Yang

CoRR, April, 2026

MOVA: Towards Scalable and Synchronized Video-Audio Generation.

Donghua Yu, Mingshu Chen, Qi Chen, Qi Luo, Qianyi Wu, Qinyuan Cheng, Ruixiao Li, Tianyi Liang, Wenbo Zhang, Wenming Tu, Xiangyu Peng, Yang Gao, Yanru Huo, Ying Zhu, Yinze Luo, Yiyang Zhang, Yuerong Song, Zhe Xu, Zhiyu Zhang, Chenchen Yang, Cheng Chang, Chushu Zhou, Hanfu Chen, Hongnan Ma, Jiaxi Li, Jingqi Tong, Junxi Liu, Ke Chen, Shimin Li, Shiqi Jiang, Songlin Wang, Wei Jiang, Zhaoye Fei, Zhiyuan Ning, Chunguo Li, Chenhui Li, Ziwei He, Zengfeng Huang, Xie Chen, Xipeng Qiu

CoRR, February, 2026

Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models.

Yu Zhang, Xinchen Li, Jialei Zhou, Hongnan Ma, Zhongwei Wan, Yiwei Shi, Duoqian Miao, Qi Zhang, Longbing Cao

CoRR, February, 2026

FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation.

Siyang He, Qiqi Wang, Xiaoran Liu, Hongnan Ma, Yiwei Shi, Yuerong Song, Ying Zhu, Tianyi Liang, Zengfeng Huang, Ziwei He, Xipeng Qiu

CoRR, January, 2026

2025

Dynamic Correction of Erroneous State Estimates via Diffusion Bayesian Exploration.

Yiwei Shi, Hongnan Ma, Mengyue Yang, Cunjia Liu, Weiru Liu

CoRR, December, 2025

TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation.

Hongnan Ma, Yiwei Shi, Guanxiong Sun, Mengyue Yang, Weiru Liu

CoRR, November, 2025

2024

Generate Explanations for Time-series classification by ChatGPT.

Zhechang Xue, Yiran Huang, Hongnan Ma, Michael Beigl

Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024

TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting.

Hongnan Ma, Kevin McAreavey, Weiru Liu

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2022

Explainable AI for Non-Experts: Energy Tariff Forecasting.

Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu

Proceedings of the 27th International Conference on Automation and Computing, 2022

2019

A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume.

Huijun Sun, Jianjun Wu, Hongnan Ma, Xin Yang, Ziyou Gao

IEEE Trans. Intell. Transp. Syst., 2019