activity
20092023
most citedLattice Boltzmann modeling of multiphase flows at large density ratio with an improved pseudopotential model

599 citations · 1.9k across the 42 of their papers we have counts for

collaborators

43 papers

cs.IR2023

Enhancing Graph Collaborative Filtering via Uniformly Co-Clustered Intent Modeling

Jiahao Wu, Wenqi Fan, Shengcai Liu +3

Graph-based collaborative filtering has emerged as a powerful paradigm for delivering personalized recommendations. Despite their demonstrated effectiveness, these methods often ne…

cs.CV2023

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

Qing Li, Huifang Feng, Kanle Shi +3

We propose Neural Gradient Learning (NGL), a deep learning approach to learn gradient vectors with consistent orientation from 3D point clouds for normal estimation. It has excelle…

eess.SY2023

Distributed Nonblocking Supervisory Control of Timed Discrete-Event Systems with Communication Delays and Losses

Yunfeng Hou, Qingdu Li

This paper investigates the problem of distributed nonblocking supervisory control for timed discrete-event systems (DESs). The distributed supervisors communicate with each other…

cs.CV2023

A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation

Li Li, Qingqing Li, Guozheng Xu +5

Roof plane segmentation from airborne LiDAR point clouds is an important technology for 3D building model reconstruction. One of the key issues of plane segmentation is how to desi…

cs.CV2023★ 3 cited

DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation

Jingfan Chen, Yuxi Wang, Pengfei Wang +4

The Class Incremental Semantic Segmentation (CISS) extends the traditional segmentation task by incrementally learning newly added classes. Previous work has introduced generative…

cs.CL2023★ 6 cited

LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following

Kaize Shi, Xueyao Sun, Dingxian Wang +3

E-commerce authoring entails creating engaging, diverse, and targeted content to enhance preference elicitation and retrieval experience. While Large Language Models (LLMs) have re…