Jian Shen

Affiliations:
  • Shanghai Jiao Tong University, APEX Data and Knowledge Management Lab, China


According to our database1, Jian Shen authored at least 23 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Adaptation Augmented Model-based Policy Optimization.
J. Mach. Learn. Res., 2023

2022
Improving Knowledge Tracing with Collaborative Information.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Towards Return Parity in Markov Decision Processes.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Curriculum Offline Imitation Learning.
CoRR, 2021

Tracing Knowledge State with Individual Cognition and Acquisition Estimation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning to Build High-Fidelity and Robust Environment Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Model-Based Offline Policy Optimization with Distribution Correcting Regularization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Curriculum Offline Imitating Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Effective Scheduling of Model-based Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

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

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency.
CoRR, 2020

TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GIKT: A Graph-Based Interaction Model for Knowledge Tracing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Model-based Policy Optimization with Unsupervised Model Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improving Knowledge Tracing via Pre-training Question Embeddings.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Bidirectional Model-based Policy Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs.
CoRR, 2019

2018
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Wasserstein Distance Guided Representation Learning for Domain Adaptation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Adversarial Representation Learning for Domain Adaptation.
CoRR, 2017


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