activity
20182026
most citedFinancial Aspect-Based Sentiment Analysis using Deep Representations

15 citations · 22 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Skytopia: Monocular Drone Navigation with Action-Conditioned Latent World Models

Yuhang Zhang, Rangya Zhang, Yujing Shang +6

Monocular drone navigation requires reaching a goal in an unseen environment from a single forward-facing camera, which offers few cues for depth and scale. World models address th…

cs.RO2025

Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation

Steven Yang, Xiaoyu Tian, Kshitij Goel +1

This paper presents a methodology to predict metric depth from monocular RGB images and an inertial measurement unit (IMU). To enable collision avoidance during autonomous flight,…

cs.LG2025

Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials

Steven Yang, Michal Levin, Govinda Anantha Padmanabha +6

Multi-material 3D printing, particularly through polymer jetting, enables the fabrication of digital materials by mixing distinct photopolymers at the micron scale within a single…

q-fin.TR2025

FlowHFT: Imitation Learning via Flow Matching Policy for Optimal High-Frequency Trading under Diverse Market Conditions

Yang Li, Zhi Chen, Steve Yang

High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit m…

cs.CL2018★ 15 cited

Financial Aspect-Based Sentiment Analysis using Deep Representations

Steve Yang, Jason Rosenfeld, Jacques Makutonin

The topic of aspect-based sentiment analysis (ABSA) has been explored for a variety of industries, but it still remains much unexplored in finance. The recent release of data for a…

cs.LG2018★ 7 cited

Distributional Advantage Actor-Critic

Shangda Li, Selina Bing, Steven Yang

In traditional reinforcement learning, an agent maximizes the reward collected during its interaction with the environment by approximating the optimal policy through the estimatio…