Jialian Li

Orcid: 0009-0006-3905-338X

According to our database1, Jialian Li authored at least 22 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Boosting Deductive Reasoning with Step Signals In RLHF.
CoRR, 2024

Reward-Robust RLHF in LLMs.
CoRR, 2024

3D-Properties: Identifying Challenges in DPO and Charting a Path Forward.
CoRR, 2024

Exploring the LLM Journey from Cognition to Expression with Linear Representations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stock Index Prediction Based On VMD-ARIMA-CNN-LSTM.
Proceedings of the 2024 International Conference on Digital Society and Artificial Intelligence, 2024

2023
Reward Informed Dreamer for Task Generalization in Reinforcement Learning.
CoRR, 2023

2022
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds.
CoRR, 2022

LiDARCap: Long-range Markerless 3D Human Motion Capture with LiDAR Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Nearly Horizon-Free Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Building Facade Completion Using Semantic-Synchronized GAN.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Bayesian Approach for Subset Selection in Contextual Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploration Analysis in Finite-Horizon Turn-based Stochastic Games.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information.
Proceedings of the 8th International Conference on Learning Representations, 2020

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Fast Regularity-Constrained Plane Reconstruction.
CoRR, 2019

Learn a Robust Policy in Adversarial Games via Playing with an Expert Opponent.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information.
CoRR, 2018

2017
Timeliness evaluation of emergency resource scheduling.
Eur. J. Oper. Res., 2017

The YouTube-8M Kaggle Competition: Challenges and Methods.
CoRR, 2017

Identify the Nash Equilibrium in Static Games with Random Payoffs.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Conditional Generative Moment-Matching Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016


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