activity
20072023
most citedEffect of initial configuration on network-based recommendation

204 citations · 771 across the 40 of their papers we have counts for

collaborators

41 papers

cs.CV2023★ 24 cited

Edge-aware Feature Aggregation Network for Polyp Segmentation

Tao Zhou, Yizhe Zhang, Geng Chen +3

Precise polyp segmentation is vital for the early diagnosis and prevention of colorectal cancer (CRC) in clinical practice. However, due to scale variation and blurry polyp boundar…

physics.app-ph2023

Quasi-deterministic Localization of Er Emitters in Thin Film TiO through Submicron-scale Crystalline Phase Control

Sean E. Sullivan, Jonghoon Ahn, Tao Zhou +5

With their shielded 4f orbitals, rare-earth ions (REIs) offer optical and electron spin transitions with good coherence properties even when embedded in a host crystal matrix, high…

cs.CV2023★ 6 cited

SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation

Yizhe Zhang, Tao Zhou, Shuo Wang +3

The Segment Anything Model (SAM) exhibits a capability to segment a wide array of objects in natural images, serving as a versatile perceptual tool for various downstream image seg…

cs.CV2023

COCA: Classifier-Oriented Calibration via Textual Prototype for Source-Free Universal Domain Adaptation

Xinghong Liu, Yi Zhou, Tao Zhou +2

Universal domain adaptation (UniDA) aims to address domain and category shifts across data sources. Recently, due to more stringent data restrictions, researchers have introduced s…

cs.IR2023★ 1 cited

Collaborative Recommendation Model Based on Multi-modal Multi-view Attention Network: Movie and literature cases

Zheng Hu, Shi-Min Cai, Jun Wang +1

The existing collaborative recommendation models that use multi-modal information emphasize the representation of users' preferences but easily ignore the representation of users'…

cs.LG2023

Bounded KRnet and its applications to density estimation and approximation

Li Zeng, Xiaoliang Wan, Tao Zhou

In this paper, we develop an invertible mapping, called B-KRnet, on a bounded domain and apply it to density estimation/approximation for data or the solutions of PDEs such as the…