activity
20172023
most citedRegularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting

68 citations · 406 across the 33 of their papers we have counts for

collaborators

33 papers

cs.CV2023

Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark

Andong Lu, Zhang Zhang, Yan Huang +4

Nighttime person Re-ID (person re-identification in the nighttime) is a very important and challenging task for visual surveillance but it has not been thoroughly investigated. Und…

cs.CV2023★ 38 cited

End-to-end Alternating Optimization for Real-World Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li +2

Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given low-resolution (LR) image; 2) super-resolving the LR image to its high-res…

cs.CV2023

Free Lunch for Gait Recognition: A Novel Relation Descriptor

Jilong Wang, Saihui Hou, Yan Huang +5

Gait recognition is to seek correct matches for query individuals by their unique walking patterns. However, current methods focus solely on extracting individual-specific features…

cs.DC2023

Robust Fully-Asynchronous Methods for Distributed Training over General Architecture

Zehan Zhu, Ye Tian, Yan Huang +2

Perfect synchronization in distributed machine learning problems is inefficient and even impossible due to the existence of latency, package losses and stragglers. We propose a Rob…

cs.CV2023★ 52 cited

Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training

Chong Liu, Yuqi Zhang, Hongsong Wang +5

Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Mo…

math.OC2023

On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach

Yan Huang, Jinming Xu

We propose a flexible gradient tracking approach with adjustable computation and communication steps for solving distributed stochastic optimization problem over networks. The prop…