Fang Wang

According to our database, Fang Wang authored at least 11 papers between 2025 and 2026.

Collaborative distances:

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

2026

Toward Effective Model Merging in Semantic Segmentation.

Haotian Chen, Yanyu Xu, Yonghui Xu, Yu Zhang, Yixin Zhang, Fang Wang, Li-Zhen Cui

IEEE Trans. Neural Networks Learn. Syst., April, 2026

Judicial Sentencing Prediction Based on Hybrid Models and Two-Stage Learning Algorithms.

Ruifen Dai, Xin Zheng, Fang Wang, Lei Guo

IEEE Trans. Comput. Soc. Syst., April, 2026

Moral Pressure and Judicial Response Behind Criminal Justice: A Quasinatural Experiment Based on Justifiable Self-Defense Trials in China.

Fang Wang, Lingyan Yang, Ke Jiang, Wei Shen

IEEE Trans. Comput. Soc. Syst., February, 2026

Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction.

Xu Zhang, Qinghua Wang, Mengyang Zhao, Fang Wang, Cunquan Qu

CoRR, January, 2026

Convergence Analysis of Weighted Median Opinion Dynamics with Higher-Order Effects.

Lingrui Chen, Xu Zhang, Fanpeng Song, Fang Wang, Cunquan Qu, Zhixin Liu

CoRR, January, 2026

Modeling and Controlling Polymorphic Opinion Dynamics in Social Networks With Heterogeneous Sensitivities.

Xu Zhang, Qinghua Wang, Fanpeng Song, Fang Wang, Cunquan Qu

IEEE Trans. Netw. Sci. Eng., 2026

Test-time thinking: Reinforcement adaptation for multimodal LLM reasoning.

Haotian Chen, Yanyu Xu, Yonghui Xu, Boyan Wang, Fang Wang, Li-Zhen Cui

Expert Syst. Appl., 2026

2025

LexPro-1.0 Technical Report.

Haotian Chen, Yanyu Xu, Boyan Wang, Chaoyue Zhao, Xiaoyu Han, Fang Wang, Lizhen Cui, Yonghui Xu

CoRR, March, 2025

A New Adaptive Prediction Algorithm for Judicial Sentencing with Empirical Studies.

Ruifen Dai, Fang Wang, Lei Guo

J. Syst. Sci. Complex., February, 2025

Law LLM unlearning via interfere prompt, review output and update parameter: new challenges, method and baseline.

Rui Shao, Yiping Tang, Lingyan Yang, Fang Wang

Expert Syst. Appl., 2025

Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction.

Qinghua Wang, Xu Zhang, Lingyan Yang, Rui Shao, Bonan Wang, Fang Wang, Cunquan Qu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025