Ho-Kin Tang

20 papers A* 2B 3Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Disentangling Task Interference within Neurons: Model Merging in Alignment with Neuronal Mechanisms.
CoRR
Zitao Fang, Guodong Du, Shuyang Yu, Yifei Guo, Yiwei Zhang, Jing Li, Ho-Kin Tang, Sim Kuan Goh
2025 J jnl
Knowledge Grafting of Large Language Models.
CoRR
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
2025 — conf
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.
ACL (1)
Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang
2025 J jnl
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling.
CoRR
Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang
2025 — conf
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.
ACL (1)
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
2025 J jnl
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer.
CoRR
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
2025 A* conf
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging.
EMNLP
Zitao Fang, Guodong Du, Shuyang Yu, Yifei Guo, Yiwei Zhang, Yiyao Cao, Jing Li, Ho-Kin Tang, Sim Kuan Goh
2024 B conf
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.
IJCNN
Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network.
CoRR
Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 B conf
Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.
SMC
Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh
2024 J jnl
Evolutionary Neural Architecture Search for 3D Point Cloud Analysis.
CoRR
Yisheng Yang, Guodong Du, Chean Khim Toa, Ho-Kin Tang, Sim Kuan Goh
2024 B conf
Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks.
SMC
Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.
CoRR
Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang
2024 — conf
Knowledge Fusion By Evolving Weights of Language Models.
ACL (Findings)
Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Knowledge Fusion By Evolving Weights of Language Models.
CoRR
Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
2024 J jnl
Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.
CoRR
Yisheng Yang, Sim Kuan Goh, Qing Cai, Shen Yuong Wong, Ho-Kin Tang
2024 A* conf
Parameter Competition Balancing for Model Merging.
NeurIPS
Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
2024 J jnl
Parameter Competition Balancing for Model Merging.
CoRR
Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
2023 — conf
Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.
CIS-RAM
Runhua Jiang, Senqiao Yang, Haoyang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh
2021 J jnl
A Novel Non-population-based Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing.
CoRR
Ho-Kin Tang, Sim Kuan Goh