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Kangtong Mo

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedFine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2024

Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning

Anjie Jiang, Kangtong Mo, Satoshi Fujimoto +4

Solar trajectory monitoring is a pivotal challenge in solar energy systems, underpinning applications such as autonomous energy harvesting and environmental sensing. A prevalent fa…

cs.RO2024

Self-Adaptive Robust Motion Planning for High DoF Robot Manipulator using Deep MPC

Ye Zhang, Kangtong Mo, Fangzhou Shen +4

In contemporary control theory, self-adaptive methodologies are highly esteemed for their inherent flexibility and robustness in managing modeling uncertainties. Particularly, robu…

cs.CL2024★ 1 cited

Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines

Kangtong Mo, Wenyan Liu, Xuanzhen Xu +3

In this study, we explore the application of sentiment analysis on financial news headlines to understand investor sentiment. By leveraging Natural Language Processing (NLP) and La…

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