Liang Wang

Orcid: 0000-0002-6981-557X

Affiliations:
  • Tencent AI Lab, Shenzhen, China
  • INSA de Lyon, France (PhD 2015)


According to our database1, Liang Wang authored at least 17 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain.
CoRR, 2024

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
Briefings Bioinform., January, 2023

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings.
IEEE Trans. Neural Networks Learn. Syst., 2022

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Learning Diverse Policies in MOBA Games via Macro-Goals.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
A Clifford Analytic Signal-Based Breast Lesion Segmentation Method for 4D Spatial-Temporal DCE-MRI Sequences.
IEEE Access, 2020

Towards Playing Full MOBA Games with Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images.
Medical Image Anal., 2019

2018
Hierarchical Macro Strategy Model for MOBA Game AI.
CoRR, 2018

Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning.
CoRR, 2018

2015
Analytic signal phase-based myocardial motion estimation in tagged MRI sequences by a bilinear model and motion compensation.
Medical Image Anal., 2015

2014
Myocardial motion estimation from 2D analytical phases and preliminary study on the hypercomplex signal. (Estimation du mouvement cardiaque par la phase analytique et étude préliminaire du signal hypercomplexe).
PhD thesis, 2014

Cardiac motion analysis using wavelet projections from tagged MR sequences.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Differential Geometry Revisited by Biquaternion Clifford Algebra.
Proceedings of the Curves and Surfaces, 2014


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