most citedGCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

4 citations · 4 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV20264 cited

GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition

Lei Jiang, Weixin Yang, Xin Zhang +1

Skeleton-based action recognition (SAR) in videos is an important but challenging task in computer vision. The recent state-of-the-art (SOTA) models for SAR are primarily based on…

cs.AI2026

OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents

Kaicheng Zhang, Wen Ge, Lei Jiang +5

Although large language model agents are increasingly applied to quantitative-finance workflows, their evaluation remains fragmented across isolated tasks, while the financial rele…

cs.AI2026

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition

Yifan Bao, Xinyu Xi, Xinyu Liu +8

Automated data science is a structured model-selection problem. A solution must choose data transformations, feature representations, architecture, training procedure, evaluation p…

cs.LG2025

Sig-DEG for Distillation: Making Diffusion Models Faster and Lighter

Lei Jiang, Wen Ge, Niels Cariou-Kotlarek +6

Diffusion models have achieved state-of-the-art results in generative modelling but remain computationally intensive at inference time, often requiring thousands of discretization…

cs.AI2025

Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback

Yihao Ang, Yifan Bao, Lei Jiang +4

Time-series data is central to decision-making in financial markets, yet building high-performing, interpretable, and auditable models remains a major challenge. While Automated Ma…

cs.CV2025

MotionPCM: Real-Time Motion Synthesis with Phased Consistency Model

Lei Jiang, Ye Wei, Hao Ni

Diffusion models have become a popular choice for human motion synthesis due to their powerful generative capabilities. However, their high computational complexity and large sampl…