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2020 – today
- 2026
[i10]Siyang He, Qiqi Wang, Xiaoran Liu, Hongnan Ma, Yiwei Shi, Yuerong Song, Ying Zhu, Tianyi Liang, Zengfeng Huang, Ziwei He, Xipeng Qiu:
FourierSampler: Unlocking Non-Autoregressive Potential in Diffusion Language Models via Frequency-Guided Generation. CoRR abs/2601.23182 (2026)- [i9]Yu Zhang, Xinchen Li, Jialei Zhou, Hongnan Ma, Zhongwei Wan, Yiwei Shi, Duoqian Miao, Qi Zhang, Longbing Cao:
Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models. CoRR abs/2602.04399 (2026) - [i8]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:
MOVA: Towards Scalable and Synchronized Video-Audio Generation. CoRR abs/2602.08794 (2026) - [i7]Hongnan Ma, Han Wang, Shenglin Wang, Tieyue Yin, Yiwei Shi, Yucong Huang, Yingtian Zou, Muning Wen, Mengyue Yang:
CreativeGame:Toward Mechanic-Aware Creative Game Generation. CoRR abs/2604.19926 (2026) - [i6]Yunhua Pei
, Jingyu Hu, Yiwei Shi, Hongnan Ma, Weiru Liu, John Cartlidge:
StakeBench: Evaluating Language Understanding Grounded in Market Commitment. CoRR abs/2605.26074 (2026) - [i5]Xinyi Li, Zhen Fang, Yongxin Deng, Jinyuan Luo, Hongnan Ma, Changdae Oh, Zijing Shi, Shanshan Ye, Hanchen Wang, Shu-Lin Chen, Yadan Luo, Mengyue Yang, Sean Du, Sharon Li, Ling Chen:
OpenHalDet: A Unified Benchmark for Hallucination Detection across Diverse Generation Scenarios. CoRR abs/2606.06959 (2026) - [i4]Hongnan Ma, Yiwei Shi, Mengyue Yang, Weiru Liu:
Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity. CoRR abs/2607.21573 (2026) - 2025
- [i3]Hongnan Ma, Yiwei Shi, Guanxiong Sun, Mengyue Yang, Weiru Liu:
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation. CoRR abs/2511.06529 (2025) - [i2]Yiwei Shi, Hongnan Ma, Mengyue Yang, Cunjia Liu, Weiru Liu:
Dynamic Correction of Erroneous State Estimates via Diffusion Bayesian Exploration. CoRR abs/2512.03102 (2025) - 2024
- [c3]Hongnan Ma, Kevin McAreavey, Weiru Liu:
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting. ICTAI 2024: 578-585 - [c2]Zhechang Xue, Yiran Huang, Hongnan Ma, Michael Beigl:
Generate Explanations for Time-series classification by ChatGPT. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 49-56 - [i1]Hongnan Ma, Kevin McAreavey, Weiru Liu:
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting. CoRR abs/2409.15950 (2024) - 2022
- [c1]Hongnan Ma, Kevin McAreavey, Ryan McConville, Weiru Liu:
Explainable AI for Non-Experts: Energy Tariff Forecasting. ICAC 2022: 1-6
2010 – 2019
- 2019
- [j1]Huijun Sun, Jianjun Wu, Hongnan Ma, Xin Yang, Ziyou Gao:
A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume. IEEE Trans. Intell. Transp. Syst. 20(2): 604-615 (2019)
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