Ho-Kin Tang

According to our database, Ho-Kin Tang authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Knowledge Grafting of Large Language Models.

Guodong Du, Xuanning Zhou, Junlin Li, Zhuo Li, Zesheng Shi, Wanyu Lin, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li

CoRR, May, 2025

Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms.

Zitao Fang, Guodong Du, Shuyang Yu, Yifei Guo, Yiwei Zhang, Jing Li, Ho-Kin Tang, Sim Kuan Goh

CoRR, March, 2025

Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.

Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.

Guodong Du, Zitao Fang, Jing Li, Junlin Li, Runhua Jiang, Shuyang Yu, Yifei Guo, Yangneng Chen, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Honghai Liu, Min Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.

Yisheng Yang, Sim Kuan Goh, Qing Cai, Shen Yuong Wong, Ho-Kin Tang

CoRR, 2024

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, HaoYang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

CoRR, 2024

Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.

Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Parameter Competition Balancing for Model Merging.

Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.

Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the International Joint Conference on Neural Networks, 2024

Knowledge Fusion By Evolving Weights of Language Models.

Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.

Runhua Jiang, Senqiao Yang, HaoYang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

2021

A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.

Ho-Kin Tang, Sim Kuan Goh

CoRR, 2021