Wei Yang

Orcid: 0000-0002-6488-2546

Affiliations:
  • Tencent AI Lab, Shenzhen, China


According to our database1, Wei Yang authored at least 37 papers between 2018 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
Merging nucleus datasets by correlation-based cross-training.
Medical Image Anal., 2023

A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images.
Medical Image Anal., 2023

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval.
Medical Image Anal., 2023

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.
CoRR, 2023

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.
CoRR, 2023

Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
Comput. Biol. Medicine, 2023

Policy Space Diversity for Non-Transitive Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Opponent-Limited Online Search for Imperfect Information Games.
Proceedings of the International Conference on Machine Learning, 2023

Quality-Similar Diversity via Population Based Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DeepNoise: Signal and Noise Disentanglement Based on Classifying Fluorescent Microscopy Images via Deep Learning.
Genom. Proteom. Bioinform., October, 2022

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

Knowledge-Based Representation Learning for Nucleus Instance Classification From Histopathological Images.
IEEE Trans. Medical Imaging, 2022

Transformer-based unsupervised contrastive learning for histopathological image classification.
Medical Image Anal., 2022

Revisiting Discrete Soft Actor-Critic.
CoRR, 2022

Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization.
CoRR, 2022

Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning.
CoRR, 2022

SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Greedy when Sure and Conservative when Uncertain about the Opponents.
Proceedings of the International Conference on Machine Learning, 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search.
IEEE Trans. Games, 2021

CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning.
CoRR, 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

TransPath: Transformer-Based Self-supervised Learning for Histopathological Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Boosting Offline Reinforcement Learning with Residual Generative Modeling.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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
Leveraging Other Datasets for Medical Imaging Classification: Evaluation of Transfer, Multi-task and Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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


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