Xufang Luo

According to our database, Xufang Luo authored at least 23 papers between 2018 and 2024.

Collaborative distances:

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

2024

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression.

Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

CoRR, 2024

LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning.

Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li

CoRR, 2024

2023

Toward Open-ended Embodied Tasks Solving.

William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li

CoRR, 2023

Unified Medical Image Pre-training in Language-Guided Common Semantic Space.

Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu

CoRR, 2023

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine.

Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li

CoRR, 2023

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu

CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.

Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu

CoRR, 2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?

Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li

CoRR, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.

Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.

Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li

Proceedings of the International Conference on Machine Learning, 2023

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer.

Eric Qu, Xufang Luo, Dongsheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.

Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Accurate and Explainable Recommendation via Review Rationalization.

Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MINDSim: User Simulator for News Recommenders.

Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bootstrapped Transformer for Offline Reinforcement Learning.

Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning.

Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.

Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Variational oracle guiding for reinforcement learning.

Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Path-BN: Towards effective batch normalization in the Path Space for ReLU networks.

Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms.

Xufang Luo, Yunhong Wang

Neurocomputing, 2020

I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations.

Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Improving Deep Learning by Regularized Scale-Free MSE of Representations.

Xufang Luo, Mingyang Yi, Yunhong Wang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

CoChat: Enabling Bot and Human Collaboration for Task Completion.

Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018