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Houqiang Li

101 papers hereh-index 7823.7k citations491 works total

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

author position
  • middle author43
  • last author55

Across the 98 of 101 papers where every author was matched, so the position is known.

fields
  • cs.CV73
  • cs.MM10
  • cs.IT7
  • cs.AI4
  • eess.IV4
  • cs.LG3
same name
  • Houqiang Li — 68 papers, h 20
  • Houqiang Li — 62 papers, h 29
  • Houqiang Li — 15 papers, h 8
  • Houqiang Li — 9 papers, h 7
  • Houqiang Li — 7 papers, h 6
  • Houqiang Li — 2 papers

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
20152023
most citedM-LVC: Multiple Frames Prediction for Learned Video Compression

216 citations · 1.9k across the 97 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2022★ 3 cited

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization

Jian Zhao, Yue Zhang, Xunhan Hu +5

In cooperative multi-agent systems, agents jointly take actions and receive a team reward instead of individual rewards. In the absence of individual reward signals, credit assignm…

cs.AI2022★ 24 cited

Direct Molecular Conformation Generation

Jinhua Zhu, Yingce Xia, Chang Liu +9

Molecular conformation generation aims to generate three-dimensional coordinates of all the atoms in a molecule and is an important task in bioinformatics and pharmacology. Previou…

cs.AI2021

Observing Interventions: A logic for thinking about experiments

Fausto Barbero, Katrin Schulz, Fernando R. Velázquez-Quesada +1

This paper makes a first step towards a logic of learning from experiments. For this, we investigate formal frameworks for modeling the interaction of causal and (qualitative) epis…

cs.AI2020★ 11 cited

Soft Hindsight Experience Replay

Qiwei He, Liansheng Zhuang, Houqiang Li

Efficient learning in the environment with sparse rewards is one of the most important challenges in Deep Reinforcement Learning (DRL). In continuous DRL environments such as robot…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.