Xufang Luo

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

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

NeurIPS 2024 | December 2024

spotlight

Preprint Github Project

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

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

June 2024

Preprint

Addressing Signal Delay in Deep Reinforcement Learning

Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li

ICLR 2024 | May 2024

PDF Publication Github

CNN Kernels Can Be the Best Shapelets

Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

The Twelfth International Conference on Learning Representations | May 2024

PDF

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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Project

Large Multimodal Model for Real-World Radiology Report Generation

Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu

December 2023

Publication

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

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023

Preprint Project

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

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

ICML 2023 | August 2023

Publication

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

Eric Qu, Xufang Luo, Dongsheng Li

ICLR 23 | May 2023

Spotlight

Publication

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

IJCAI 2022 | July 2022

Publication

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu

Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461

Publication

Accurate and Explainable Recommendation via Review Rationalization

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

TheWebConf 2022 | April 2022

PDF DOI

MINDSim: User Simulator for News Recommenders

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

TheWebConf 2022 | April 2022

Publication

Variational oracle guiding for reinforcement learning

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

ICLR 2022 | April 2022

Publication

Variational oracle guiding for reinforcement learning

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

2022 International Conference on Learning Representations | March 2022

Publication

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

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

June 2021

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

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

NeurIPS 2024 | December 2024

spotlight

Preprint Github Project

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

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

June 2024

Preprint

Addressing Signal Delay in Deep Reinforcement Learning

Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li

ICLR 2024 | May 2024

PDF Publication Github

CNN Kernels Can Be the Best Shapelets

Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

The Twelfth International Conference on Learning Representations | May 2024

PDF

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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Project

Large Multimodal Model for Real-World Radiology Report Generation

Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu

December 2023

Publication

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

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023

Preprint Project

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

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

ICML 2023 | August 2023

Publication

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

Eric Qu, Xufang Luo, Dongsheng Li

ICLR 23 | May 2023

Spotlight

Publication

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

IJCAI 2022 | July 2022

Publication

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu

Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461

Publication

Variational oracle guiding for reinforcement learning

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

ICLR 2022 | April 2022

Publication

Variational oracle guiding for reinforcement learning

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

2022 International Conference on Learning Representations | March 2022

Publication

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

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

June 2021

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

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

NeurIPS 2024 | December 2024

spotlight

Preprint Github Project

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

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

June 2024

Preprint

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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Project

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

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023

Preprint Project

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

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

NeurIPS 2024 | December 2024

spotlight

Preprint Github Project

Large Multimodal Model for Real-World Radiology Report Generation

Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu

December 2023

Publication

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu

Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461

Publication

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

Eric Qu, Xufang Luo, Dongsheng Li

ICLR 23 | May 2023

Spotlight

Publication

MINDSim: User Simulator for News Recommenders

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

TheWebConf 2022 | April 2022

Publication

Accurate and Explainable Recommendation via Review Rationalization

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

TheWebConf 2022 | April 2022

PDF DOI

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

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

June 2024

Preprint

Large Multimodal Model for Real-World Radiology Report Generation

Brian Nlong Zhao, Xinyang Jiang, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu

December 2023

Publication

Path-BN: Towards Effective Batch Normalization in the Path Space for ReLU Networks

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

June 2021

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

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

NeurIPS 2024 | December 2024

spotlight

Preprint Github Project

Addressing Signal Delay in Deep Reinforcement Learning

Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li

ICLR 2024 | May 2024

PDF Publication Github

CNN Kernels Can Be the Best Shapelets

Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li

The Twelfth International Conference on Learning Representations | May 2024

PDF

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 林庆维, Victor Ruehle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang

The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024) | March 2024

Preprint Project

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

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) | October 2023

Preprint Project

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

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

ICML 2023 | August 2023

Publication

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer

Eric Qu, Xufang Luo, Dongsheng Li

ICLR 23 | May 2023

Spotlight

Publication

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

IJCAI 2022 | July 2022

Publication

MINDSim: User Simulator for News Recommenders

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

TheWebConf 2022 | April 2022

Publication

Accurate and Explainable Recommendation via Review Rationalization

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

TheWebConf 2022 | April 2022

PDF DOI

Variational oracle guiding for reinforcement learning

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

ICLR 2022 | April 2022

Publication

Variational oracle guiding for reinforcement learning

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

2022 International Conference on Learning Representations | March 2022

Publication

Metabolic characterization of hypertrophic cardiomyopathy in human heart

Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, ingsheng Jiang, Peng Li, Lei Song, Zeping Hu

Nature Cardiovascular Research | May 2022, Vol 1: pp. 445-461

Publication