Xufang Luo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Function Approximators

Reinforcement Learning

Partially Observable Environments

Top Venues

Publications

Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
A Large-scale Medical Visual Task Adaptation Benchmark. CoRR (2024)
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
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) (2024)
Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. CoRR (2024)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. ACL (1) (2024)
Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR (2024)
William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
Addressing Signal Delay in Deep Reinforcement Learning. ICLR (2024)
Zhiyuan He, Aashish Gottipati, Lili Qiu, Francis Y. Yan, Xufang Luo, Kenuo Xu, Yuqing Yang
LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models. CoRR (2024)
Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR (2024)
Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. CoRR (2024)
Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
CNN Kernels Can Be the Best Shapelets. ICLR (2024)
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
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR (2024)
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. SMC (2023)
Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR (2023)
Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. CoRR (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI (2023)
William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
Toward Open-ended Embodied Tasks Solving. CoRR (2023)
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR (2023)
Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu
Unified Medical Image Pre-training in Language-Guided Common Semantic Space. CoRR (2023)
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR (2023)
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML (2023)
Eric Qu, Xufang Luo, Dongsheng Li
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. ICLR (2023)
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. CoRR (2023)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR (2022)
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
Accurate and Explainable Recommendation via Review Rationalization. WWW (2022)
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. CoRR (2022)
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
MINDSim: User Simulator for News Recommenders. WWW (2022)
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
Variational oracle guiding for reinforcement learning. ICLR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI (2022)
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. NeurIPS (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR (2022)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS (2022)
Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu
Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI (2021)
Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI (2020)
Xufang Luo, Yunhong Wang
PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms. Neurocomputing 403 (2020)
Xufang Luo, Mingyang Yi, Yunhong Wang
Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) (2019)
Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie
CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI (2018)