Wei Huang

According to our database, Wei Huang authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model.

Shaozhen Ma, Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang

CoRR, May, 2026

Small Shifts, Large Gains: Unlocking Traditional TSP Heuristic Guided-Sampling via Unsupervised Neural Instance Modification.

Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang

CoRR, February, 2026

RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning.

Wei Huang, Hanchen Wang, Dong Wen, Xin Cao, Ying Zhang, Wenjie Zhang

CoRR, January, 2026

2025

WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques.

Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang

CoRR, August, 2025

DiffGED: Computing Graph Edit Distance via Diffusion-based Graph Matching.

Wei Huang, Hanchen Wang, Dong Wen, Wenjie Zhang, Ying Zhang, Xuemin Lin

CoRR, March, 2025

Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN.

Wei Huang, Hanchen Wang, Dong Wen, Shaozhen Ma, Wenjie Zhang, Xuemin Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Computing Historical k-Core in Parallel.

Zhuo Ma, Wei Huang, Dong Wen, Hanchen Wang, Zhengyi Yang

Proceedings of the Databases Theory and Applications, 2025

2024

Creation of a structured solar cell material dataset and performance prediction using large language models.

Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

Patterns, 2024

GQ*: Towards Generalizable Deep Q-Learning for Steiner Tree in Graphs.

Wei Huang, Hanchen Wang, Dong Wen, Xuefeng Chen, Wenjie Zhang, Ying Zhang

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

DARWIN Series: Domain Specific Large Language Models for Natural Science.

Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex

CoRR, 2023

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT.

Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex

CoRR, 2023