◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xiang Li

Peking University, Department of Machine Intelligence, Speech and Hearing Research Center, China

16 papers hereh-index 9332 citations30 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author8

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL3
  • cs.LG2
  • eess.AS2
  • cs.IR1
  • eess.IV1
affiliations
  • Peking University, Department of Machine Intelligence, Speech and Hearing Research Center, China
same name
  • Xiang Li — 47 papers, h 21
  • Xiang Li — 45 papers, h 32
  • Xiang Li — 27 papers, h 32
  • Xiang Li — 26 papers, h 58
  • Xiang Li — 18 papers, h 17
  • Xiang Li — 17 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedDigital staining in optical microscopy using deep learning -- a review

43 citations · 60 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Panoramic Video Salient Object Detection with Ambisonic Audio Guidance

Xiang Li, Haoyuan Cao, Shijie Zhao +3

Video salient object detection (VSOD), as a fundamental computer vision problem, has been extensively discussed in the last decade. However, all existing works focus on addressing…

cs.CL2022

Disentangled and Robust Representation Learning for Bragging Classification in Social Media

Xiang Li, Yucheng Zhou

Researching bragging behavior on social media arouses interest of computational (socio) linguists. However, existing bragging classification datasets suffer from a serious data imb…

cs.CL2022★ 1 cited

Ranking-Enhanced Unsupervised Sentence Representation Learning

Yeon Seonwoo, Guoyin Wang, Changmin Seo +6

Unsupervised sentence representation learning has progressed through contrastive learning and data augmentation methods such as dropout masking. Despite this progress, sentence enc…

cs.IR2022

AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System

Xiang Li, Xiaojiang Zhou, Yao Xiao +4

Industrial search and recommendation systems mostly follow the classic multi-stage information retrieval paradigm: matching, pre-ranking, ranking, and re-ranking stages. To account…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.