activity
20192023
most citedFinding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

11 citations · 34 across the 9 of their papers we have counts for

collaborators

10 papers

cs.SI202311 cited

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

Yizhen Zheng, He Zhang, Vincent CS Lee +3

Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophily-prone or heterophily-prone. While graphs with homophily-pron…

cs.RO2022

Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery

Chang Shi, Yi Zheng, Ann Majewicz Fey

Surgical activity recognition and prediction can help provide important context in many Robot-Assisted Surgery (RAS) applications, for example, surgical progress monitoring and est…

eess.SP20229 cited

A Random Forest and Current Fault Texture Feature-Based Method for Current Sensor Fault Diagnosis in Three-Phase PWM VSR

Lei Kou, Xiao-dong Gong, Yi Zheng +4

Three-phase PWM voltage-source rectifier (VSR) systems have been widely used in various energy conversion systems, where current sensors are the key component for state monitoring…

physics.optics20226 cited

Toward practical weak measurement wavefront sensing: spatial resolution and achromatism

Yi Zheng, Mu Yang, Zheng-Hao Liu +3

The weak measurement wavefront sensor detects the phase gradient of light like the Shack-Hartmann sensor does. However, the use of one thin birefringent crystal to displace light b…

cs.IR2022

Improving Micro-video Recommendation via Contrastive Multiple Interests

Beibei Li, Beihong Jin, Jiageng Song +3

With the rapid increase of micro-video creators and viewers, how to make personalized recommendations from a large number of candidates to viewers begins to attract more and more a…

cs.CV2022

Multi-Level Attention for Unsupervised Person Re-Identification

Yi Zheng

The attention mechanism is widely used in deep learning because of its excellent performance in neural networks without introducing additional information. However, in unsupervised…