activity
20202022
most citedE-commerce Recommendation with Weighted Expected Utility

6 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 2 cited

1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track

Junfei Xiao, Zhichao Xu, Shiyi Lan +3

This report describes the winning solution to the Robust Vision Challenge (RVC) semantic segmentation track at ECCV 2022. Our method adopts the FAN-B-Hybrid model as the encoder an…

cs.IR2021★ 5 cited

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation

Zhichao Xu, Hansi Zeng, Qingyao Ai

Modern E-commerce websites contain heterogeneous sources of information, such as numerical ratings, textual reviews and images. These information can be utilized to assist recommen…

cs.IR2021★ 4 cited

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System

Hansi Zeng, Zhichao Xu, Qingyao Ai

User and item reviews are valuable for the construction of recommender systems. In general, existing review-based methods for recommendation can be broadly categorized into two gro…

cs.IR2020★ 6 cited

E-commerce Recommendation with Weighted Expected Utility

Zhichao Xu, Yi Han, Yongfeng Zhang +1

Different from shopping at retail stores, consumers on e-commerce platforms usually cannot touch or try products before purchasing, which means that they have to make decisions whe…

cs.AI2020

Using Sampling Strategy to Assist Consensus Sequence Analysis

Zhichao Xu, Shuhong Chen

Consensus Sequences of event logs are often used in process mining to quickly grasp the core sequence of events to be performed in a process, or to represent the backbone of the pr…