DiJia Su

According to our database, DiJia Su authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Training Large Language Models to Reason in a Continuous Latent Space.

Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, Yuandong Tian

CoRR, 2024

Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces.

DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng

CoRR, 2024

2023

Optimizing Multidocument Summarization by Blending Reinforcement Learning Policies.

DiJia Su, Difei Su, John M. Mulvey, H. Vincent Poor

IEEE Trans. Artif. Intell., June, 2023

2022

Topics in Machine Learning

DiJia Su

PhD thesis, 2022

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games.

Zihan Ding, Dijia Su, Qinghua Liu, Chi Jin

CoRR, 2022

Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting.

DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp

CoRR, 2022

Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting.

DiJia Andy Su, Bertrand Douillard, Rami Al-Rfou, Cheol Park, Benjamin Sapp

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Competitive Multi-Agent Reinforcement Learning with Self-Supervised Representation.

DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies.

DiJia Andy Su, Difei Su, John M. Mulvey, H. Vincent Poor

CoRR, 2021

MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning.

DiJia Su, Jason D. Lee, John M. Mulvey, H. Vincent Poor

CoRR, 2021

2020

ConQUR: Mitigating Delusional Bias in Deep Q-Learning.

Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier

Proceedings of the 37th International Conference on Machine Learning, 2020

2015

Secrecy capacity and wireless energy harvesting in amplify-and-forward relay networks.

DiJia Su, S. A. Mousavifar, C. Leung

Proceedings of the IEEE Pacific Rim Conference on Communications, 2015