◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Guangtao Nie

2 papers hereh-index 8215 citations13 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedImage Restoration from Patch-based Compressed Sensing Measurement

4 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI2026

A Better Spur Should Start From Each Objective

Shanwen Mao, Hao Zhang, Guangtao nie +4

Real-world Multi-Objective Reinforcement Learning (MORL) often suffers from sparse rewards, reward conflicts, and late-stage reward tug-of-war, causing traditional linear scalariza…

cs.IR2024

Generative Retrieval with Preference Optimization for E-commerce Search

Mingming Li, Huimu Wang, Zuxu Chen +5

Generative retrieval introduces a groundbreaking paradigm to document retrieval by directly generating the identifier of a pertinent document in response to a specific query. This…

cs.LG2022★ 3 cited

A Review of Affective Generation Models

Guangtao Nie, Yibing Zhan

Affective computing is an emerging interdisciplinary field where computational systems are developed to analyze, recognize, and influence the affective states of a human. It can ge…

cs.CV2017★ 4 cited

Image Restoration from Patch-based Compressed Sensing Measurement

Guangtao Nie, Ying Fu, Yinqiang Zheng +1

A series of methods have been proposed to reconstruct an image from compressively sensed random measurement, but most of them have high time complexity and are inappropriate for pa…

◍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.