49 citations · 55 across the 8 of their papers we have counts for
8 papers
From Local Patterns to Global Understanding: Cross-Stock Trend Integration for Enhanced Predictive Modeling
Yi Hu, Hanchi Ren, Jingjing Deng +1
Stock price prediction is a critical area of financial forecasting, traditionally approached by training models using the historical price data of individual stocks. While these mo…
Distributed Learning for UAV Swarms
Chen Hu, Hanchi Ren, Jingjing Deng +1
Unmanned Aerial Vehicle (UAV) swarms are increasingly deployed in dynamic, data-rich environments for applications such as environmental monitoring and surveillance. These scenario…
Gradients Stand-in for Defending Deep Leakage in Federated Learning
H. Yi, H. Ren, C. Hu +3
Federated Learning (FL) has become a cornerstone of privacy protection, shifting the paradigm towards localizing sensitive data while only sending model gradients to a central serv…
Triplane Grasping: Efficient 6-DoF Grasping with Single RGB Images
Yiming Li, Hanchi Ren, Yue Yang +2
Reliable object grasping is one of the fundamental tasks in robotics. However, determining grasping pose based on single-image input has long been a challenge due to limited visual…
Task-oriented Robotic Manipulation with Vision Language Models
Nurhan Bulus Guran, Hanchi Ren, Jingjing Deng +1
Vision Language Models (VLMs) play a crucial role in robotic manipulation by enabling robots to understand and interpret the visual properties of objects and their surroundings, al…
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu, Hanchi Ren, Jingjing Deng +2
Federated learning is a machine learning paradigm that enables decentralized clients to collaboratively learn a shared model while keeping all the training data local. While consid…