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20222026
most citedAdaptive Graph Convolution Networks for Traffic Flow Forecasting

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

DeCo-DETR: Decoupled Cognition DETR for efficient Open-Vocabulary Object Detection

Siheng Wang, Yanshu Li, Bohan Hu +12

Open-vocabulary object detection (OVOD) enables models to recognize objects beyond predefined categories, but existing approaches remain limited in practical deployment. On the one…

cs.CV2025

JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation

Siheng Wan, Zhengtao Yao, Zhengdao Li +9

Modern Text-to-Image (T2I) generation increasingly relies on token-centric architectures that are trained with self-supervision, yet effectively fusing text with visual tokens rema…

cs.CV2025

C3-OWD: A Curriculum Cross-modal Contrastive Learning Framework for Open-World Detection

Siheng Wang, Zhengdao Li, Yanshu Li +12

Object detection has advanced significantly in the closed-set setting, but real-world deployment remains limited by two challenges: poor generalization to unseen categories and ins…

cs.CV2025

ReMoMask: Retrieval-Augmented Masked Motion Generation

Zhengdao Li, Siheng Wang, Zeyu Zhang +1

Text-to-Motion (T2M) generation aims to synthesize realistic and semantically aligned human motion sequences from natural language descriptions. However, current approaches face du…

cs.LG2024★ 1 cited

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs

Zhengdao Li, Yong Cao, Kefan Shuai +2

Graph classification benchmarks, vital for assessing and developing graph neural networks (GNNs), have recently been scrutinized, as simple methods like MLPs have demonstrated comp…

cs.LG2023★ 3 cited

Adaptive Graph Convolution Networks for Traffic Flow Forecasting

Zhengdao Li, Wei Li, Kai Hwang

Traffic flow forecasting is a highly challenging task due to the dynamic spatial-temporal road conditions. Graph neural networks (GNN) has been widely applied in this task. However…

cs.CL2022

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation

Yong Cao, Wei Li, Xianzhi Li +5

Sign language recognition and translation first uses a recognition module to generate glosses from sign language videos and then employs a translation module to translate glosses i…