Haonan Ma

22 papers A* 1Misc 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Can Contrastive Learning Always be Trusted? Privacy Leakage Evaluation of Contrastive Learning for Graph Neural Networks.
IEEE Trans. Comput. Soc. Syst.
Jinyin Chen, Wenbo Mu, Haonan Ma, Chengyi Wang, Haibin Zheng, Hang Du
2026 J jnl
Design of support head with joint-synchronized structure and tuned mass damper for robotic mirror milling.
Robotics Comput. Integr. Manuf.
Kun Chen, Chenghao Huang, Haonan Ma, Peng Xu, Bing Li
2026 J jnl
Dynamic Belief Rule Learning for Classification With Expert in the Loop.
IEEE Trans. Artif. Intell.
Lianmeng Jiao, Xianggang Ma, Han Zhang, Jiawei Wu, Haonan Ma
2026 J jnl
Physics-informed prediction of modal parameters and stability analysis for robotic mirror milling.
Robotics Comput. Integr. Manuf.
Kun Chen, Haonan Ma, Chenghao Huang, Sheng Xu, Peng Xu, Bing Li
2026 A* conf
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning.
AAAI
Zhengyuan Pan, Yanhao Chen, Zhongquan Jian, Wanru Zhao, Haonan Ma, Meihong Wang, Qingqiang Wu
2025 J jnl
A Novel Coronary Artery Registration Method Based on Super-pixel Particle Swarm Optimization.
CoRR
Peng Qi, Wenxi Qu, Tianliang Yao, Haonan Ma, Dylan Wintle, Yinyi Lai, Giorgos Papanastasiou, Chengjia Wang
2025 J jnl
A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting.
Expert Syst. Appl.
Mengying Geng, Haonan Ma, Jiaxiang Wang, Shuangli Liu, Jie Li, Yibo Ai, Weidong Zhang
2025 Misc conf
Enhancing Information Extraction with METORIE: A Metaphor and Trap-Based Dataset for Cross-Domain Fine-Tuning.
ICASSP
Zhengyuan Pan, Yilian Peng, Zhongquan Jian, Yanhao Chen, Wentao Qiu, Haonan Ma, Junfeng Yao, Meihong Wang, Qingqiang Wu
2025 J jnl
Modeling and simulation of L-shaped merging behavior incorporating behavioral characteristic lines.
Simul. Model. Pract. Theory
Wenhang Li, Yi Li, Ping Yu, Jianhua Gong, Haonan Ma
2024 J jnl
A queuing evacuation model with yielding behavior.
Simul. Model. Pract. Theory
Wenhang Li, Yi Li, Ping Yu, Jianhua Gong, Lin Huang, Haonan Ma
2024 J jnl
An Empirical Evaluation of the Data Leakage in Federated Graph Learning.
IEEE Trans. Netw. Sci. Eng.
Jinyin Chen, Minying Ma, Haonan Ma, Haibin Zheng, Jian Zhang
2024 J jnl
Data-and knowledge-driven belief rule learning for hybrid classification.
Inf. Sci.
Xiaojiao Geng, Haonan Ma, Lianmeng Jiao, Zhi-Jie Zhou
2024 J jnl
Joint Impulsive Noise Mitigation and Sparse Channel Estimation for Mobile Underwater Acoustic Communication.
IEEE Wirel. Commun. Lett.
Hua Yu, Yaokun Liang, Haonan Ma, Fei Ji, Lijun Xu
2024 J jnl
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection.
IEEE Trans. Comput. Soc. Syst.
Haibin Zheng, Haiyang Xiong, Haonan Ma, Guohan Huang, Jinyin Chen
2024 J jnl
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs.
IEEE Trans. Comput. Soc. Syst.
Haibin Zheng, Haiyang Xiong, Jinyin Chen, Haonan Ma, Guohan Huang
2024 J jnl
TEGDetector: A Phishing Detector That Knows Evolving Transaction Behaviors.
IEEE Trans. Comput. Soc. Syst.
Haibin Zheng, Minying Ma, Haonan Ma, Jinyin Chen, Haiyang Xiong, Zhijun Yang
2023 — conf
An in-depth analysis of robustness and accuracy of recommendation systems.
ICDM (Workshops)
Haonan Ma, Can Wang, Yunwei Zhao, Luhua Wang, Xiulian Cao, Jinyin Chen, Han Han, Meichen Liu
2023 J jnl
Deep reinforcement learning and 3D physical environments applied to crowd evacuation in congested scenarios.
Int. J. Digit. Earth
Dong Zhang, Wenhang Li, Jianhua Gong, Guoyong Zhang, Jiantao Liu, Lin Huang, Heng Liu, Haonan Ma
2022 J jnl
HDRLM3D: A Deep Reinforcement Learning-Based Model with Human-like Perceptron and Policy for Crowd Evacuation in 3D Environments.
ISPRS Int. J. Geo Inf.
Dong Zhang, Wenhang Li, Jianhua Gong, Lin Huang, Guoyong Zhang, Shen Shen, Jiantao Liu, Haonan Ma
2022 — conf
Hybrid Rule-Based Classification by Integrating Expert Knowledge and Data.
IUKM
Lianmeng Jiao, Haonan Ma, Quan Pan
2022 J jnl
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection.
CoRR
Haibin Zheng, Haiyang Xiong, Haonan Ma, Guohan Huang, Jinyin Chen
2022 J jnl
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs.
CoRR
Haibin Zheng, Haiyang Xiong, Jinyin Chen, Haonan Ma, Guohan Huang