Mingxian Wang

According to our database, Mingxian Wang authored at least 11 papers between 2008 and 2026.

Collaborative distances:

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

2026

LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?

J. Ben Tamo, Daniel Carlander-Reuterfelt, Jonathan Rubin, Dezhi Hong, Mingxian Wang, Oleg Poliannikov

CoRR, January, 2026

Stock price trend forecasting based on multi-channel complementary network with CEEMDAN decomposition and transformer residual prediction.

Yuanji Shen, Jun Dai, Mingxian Wang, Gonzalo R. Arce

Expert Syst. Appl., 2026

From disclosure to compliance: Modeling the evolutionary dynamics of tripartite privacy regulation.

Qixing Qu, Chengxi Wei, Mingxian Wang, Yaxin Wang

Appl. Math. Comput., 2026

2025

Forget to Know, Remember to Use: Context-Aware Unlearning for Large Language Models.

Yuefeng Peng, Parnian Afshar, Megan Ganji, Thomas Butler, Amir Houmansadr, Mingxian Wang, Dezhi Hong

CoRR, October, 2025

Multiview diffusion-based affinity graph learning with good neighbourhoods for salient object detection.

Fan Wang, Mingxian Wang, Guohua Peng

Appl. Intell., January, 2025

Multi-Scale Pure Graphs with Multi-View Subspace Clustering for Salient Object Detection.

Mingxian Wang, Hongwei Yang, Yi Zhang, Wenjie Wang, Fan Wang

Symmetry, 2025

2024

Modeling Spatiotemporal Heterogeneity of Customer Preferences With Small-Scale Aggregated Data: A Spatial Panel Modeling Approach.

Yuyang Chen, Youyi Bi, Jian Xie, Zhenghui Sha, Mingxian Wang, Yan Fu, Wei Chen

J. Comput. Inf. Sci. Eng., 2024

2023

RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems.

Manik Bhandari, Mingxian Wang, Oleg Poliannikov, Kanna Shimizu

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Fault Prognostics for Machinery with Multi-Degradation Stage Based on Deep Residual Network and Multi-Task Learning.

Mingxian Wang, Langfu Cui, Jiahe Jiang, Junle Wang, Yang Jin, Gang Xiang, Jianbing Yang, Ruishi Lin

Proceedings of the CAA Symposium on Fault Detection, 2023

2018

A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations.

Zhenghui Sha, Yun Huang, Jiawei Sophia Fu, Mingxian Wang, Yan Fu, Noshir Contractor, Wei Chen

Complex., 2018

2008

Dynamic Game Analysis on Knowledge-Sharing and Knowledge-Spillover in Competitive Alliances.

Mingxian Wang, Xiao-Zhong Song

Proceedings of the International Conference on Computer Science and Software Engineering, 2008