activity
20132025
most citedIntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

158 citations · 716 across the 49 of their papers we have counts for

collaborators

51 papers

cs.CV2025

Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model

Yang Yang, Siming Zheng, Qirui Yang +6

Diffusion models have recently emerged as powerful tools for camera simulation, enabling both geometric transformations and realistic optical effects. Among these, image-based boke…

cs.CL2023★ 1 cited

Few-Shot Domain Adaptation for Charge Prediction on Unprofessional Descriptions

Jie Zhao, Ziyu Guan, Wei Zhao +2

Recent works considering professional legal-linguistic style (PLLS) texts have shown promising results on the charge prediction task. However, unprofessional users also show an inc…

cs.CV2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation

Minghao Chen, Zepeng Gao, Shuai Zhao +4

Unsupervised domain adaptation (UDA) methods facilitate the transfer of models to target domains without labels. However, these methods necessitate a labeled target validation set…

cs.CV2023★ 4 cited

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer

Honghui Yang, Wenxiao Wang, Minghao Chen +5

Recent Transformer-based 3D object detectors learn point cloud features either from point- or voxel-based representations. However, the former requires time-consuming sampling whil…

cs.IR2023

Denoising Multi-modal Sequential Recommenders with Contrastive Learning

Dong Yao, Shengyu Zhang, Zhou Zhao +5

There is a rapidly-growing research interest in engaging users with multi-modal data for accurate user modeling on recommender systems. Existing multimedia recommenders have achiev…

cs.CV2023★ 2 cited

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment

Liang Xie, Yibo Yang, Wenxiao Wang +4

Compared to 2D images, 3D point clouds are much more sensitive to rotations. We expect the point features describing certain patterns to keep invariant to the rotation transformati…