Zikang Tian

According to our database, Zikang Tian authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.

Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

CoRR, 2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning.

Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Empirical Mode Decomposition-Based Hierarchical Multiresolution Analysis for Suppressing Noise.

Yang Zhou, Bingo Wing-Kuen Ling, Xiaozhu Mo, Yitong Guo, Zikang Tian

IEEE Trans. Instrum. Meas., 2020

Suppressing the Spikes in Electroencephalogram via an Iterative Joint Singular Spectrum Analysis and Low-Rank Decomposition Approach.

Zikang Tian, Bingo Wing-Kuen Ling, Xueling Zhou, Ringo Wai-Kit Lam, Kok Lay Teo

Sensors, 2020

Joint empirical mode decomposition, exponential function estimation and <i>L</i> ₁ norm approach for estimating mean value of photoplethysmogram and blood glucose level.

Xueling Zhou, Bingo Wing-Kuen Ling, Zikang Tian, Yiu-Wai Ho, Kok Lay Teo

IET Signal Process., 2020

2018

Wearable Non-invasive Blood Glucose Estimation via Empirical Mode Decomposition Based Hierarchical Multiresolution Analysis and Random Forest.

Zheng Li, Qiuliang Ye, Yitong Guo, Zikang Tian, Bingo Wing-Kuen Ling, Ringo Wai-Kit Lam

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018