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2020 – today
- 2024
[c19]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: 963-981- [c18]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: 1658-1677 - [c17]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. ECCV (81) 2024: 123-139 - [c16]Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li:
CNN Kernels Can Be the Best Shapelets. ICLR 2024 - [c15]William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li:
Addressing Signal Delay in Deep Reinforcement Learning. ICLR 2024 - [i17]Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li:
LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR abs/2402.17406 (2024) - [i16]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 abs/2403.12968 (2024) - [i15]Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu:
LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. CoRR abs/2404.00998 (2024) - [i14]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 abs/2404.01617 (2024) - [i13]Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li:
A Large-scale Medical Visual Task Adaptation Benchmark. CoRR abs/2404.12876 (2024) - [i12]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 abs/2406.02536 (2024) - [i11]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 abs/2407.02490 (2024) - 2023
- [c14]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI 2023: 11372-11380 - [c13]Eric Qu, Xufang Luo, Dongsheng Li:
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. ICLR 2023 - [c12]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: 35817-35835 - [c11]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: 196-201 - [i10]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR abs/2303.07693 (2023) - [i9]Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li:
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR abs/2307.00547 (2023) - [i8]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 abs/2307.05382 (2023) - [i7]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 abs/2310.06839 (2023) - [i6]Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li:
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR abs/2311.14304 (2023) - [i5]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 abs/2311.14851 (2023) - [i4]William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li:
Toward Open-ended Embodied Tasks Solving. CoRR abs/2312.05822 (2023) - 2022
- [c10]Dongqi Han
, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li:
Variational oracle guiding for reinforcement learning. ICLR 2022 - [c9]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: 3659-3665 - [c8]Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li:
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. NeurIPS 2022 - [c7]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS 2022 - [c6]Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li:
MINDSim: User Simulator for News Recommenders. WWW 2022: 2067-2077 - [c5]Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu:
Accurate and Explainable Recommendation via Review Rationalization. WWW 2022: 3092-3101 - [i3]Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li:
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. CoRR abs/2202.10324 (2022) - [i2]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 abs/2205.09284 (2022) - [i1]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR abs/2206.08569 (2022) - 2021
- [c4]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: 834-843 - 2020
- [j1]Xufang Luo, Yunhong Wang:
PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms. Neurocomputing 403: 109-120 (2020) - [c3]Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang:
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI 2020: 2669-2675
2010 – 2019
- 2019
- [c2]Xufang Luo, Mingyang Yi, Yunhong Wang:
Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) 2019: 251-263 - 2018
- [c1]Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie:
CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI 2018: 5301-5308
Coauthor Index
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