activity
20202026
most citedLearning to Generate Diverse Dance Motions with Transformer

74 citations · 83 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation

Fangda Ye, Zhifei Xie, Yuxin Hu +5

Recent agentic search frameworks enable deep research via iterative planning and retrieval, reducing hallucinations and enhancing factual grounding. However, they remain text-centr…

cs.RO2026

Adaptor: Advancing Assistive Teleoperation with Few-Shot Learning and Cross-Operator Generalization

Yu Liu, Yihang Yin, Tianlv Huang +8

Assistive teleoperation enhances efficiency via shared control, yet inter-operator variability, stemming from diverse habits and expertise, induces highly heterogeneous trajectory…

cs.LG2021★ 9 cited

AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Yihang Yin, Qingzhong Wang, Siyu Huang +2

Contrastive learning has been widely applied to graph representation learning, where the view generators play a vital role in generating effective contrastive samples. Most of the…

cs.CV2021

BM-NAS: Bilevel Multimodal Neural Architecture Search

Yihang Yin, Siyu Huang, Xiang Zhang

Deep neural networks (DNNs) have shown superior performances on various multimodal learning problems. However, it often requires huge efforts to adapt DNNs to individual multimodal…

cs.CV2020★ 74 cited

Learning to Generate Diverse Dance Motions with Transformer

Jiaman Li, Yihang Yin, Hang Chu +4

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well chore…