◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

D. Wu

21 papers hereh-index 6115.3k citations481 works total

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

author position
  • middle author8
  • last author11

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.CL3
  • cs.IT2
  • cs.MM2
  • cs.NI2
same name
  • D. Wu — 20 papers, h 27
  • D. Wu — 4 papers, h 12
  • D. Wu — 4 papers
  • D. Wu — 2 papers, h 14
  • D. Wu — 2 papers, h 66
  • D. Wu — 1 paper, h 23

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
20162021
most citedDeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction

14 citations · 52 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2018

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz +3

We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytell…

cs.CV2018

Turbo Learning for Captionbot and Drawingbot

Qiuyuan Huang, Pengchuan Zhang, Dapeng Wu +1

We study in this paper the problems of both image captioning and text-to-image generation, and present a novel turbo learning approach to jointly training an image-to-text generato…

cs.CV2018★ 1 cited

Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs

Pratik Prabhanjan Brahma, Qiuyuan Huang, Dapeng Wu

While deep learning has pushed the boundaries in various machine learning tasks, the current models are still far away from replicating many functions that a normal human brain can…

cs.CV2017★ 6 cited

Tensor Product Generation Networks for Deep NLP Modeling

Qiuyuan Huang, Paul Smolensky, Xiaodong He +2

We present a new approach to the design of deep networks for natural language processing (NLP), based on the general technique of Tensor Product Representations (TPRs) for encoding…

◍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.