activity
20232026
most citedModular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

NarraScore: Bridging Visual Narrative and Musical Dynamics via Hierarchical Affective Control

Yufan Wen, Zhaocheng Liu, YeGuo Hua +4

Synthesizing coherent soundtracks for long-form videos remains a formidable challenge, currently stalled by three critical impediments: computational scalability, temporal coherenc…

cs.CV2026

SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL

Lijun Liu, Linwei Chen, Zhishou Zhang +7

General-purpose Large Vision-Language Models (LVLMs), despite their massive scale, often falter in dermatology due to "diffuse attention" - the inability to disentangle subtle path…

cs.LG2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction

Zhongxiang Fan, Zhaocheng Liu, Jian Liang +5

This paper investigates the one-epoch overfitting phenomenon in Click-Through Rate (CTR) models, where performance notably declines at the start of the second epoch. Despite extens…

cs.GR2024

Implicit-Explicit simulation of Mass-Spring-Charge Systems

Zhiyuan Zhang, Krzysztof Grykiel, Zhaocheng Liu +2

Point masses connected by springs, or mass-spring systems, are widely used in computer animation to approximate the behavior of deformable objects. One of the restrictions imposed…

cs.RO2023★ 4 cited

Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System

Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis +2

We present a modular framework designed to enable a robot hand-arm system to learn how to catch flying objects, a task that requires fast, reactive, and accurately-timed robot moti…