Luo, Xufang

27 publications

ICML 2025 MMInference: Accelerating Pre-Filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLRW 2025 MMInference: Accelerating Pre-Filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
CVPR 2025 Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
ICLR 2025 SCBench: A KV Cache-Centric Analysis of Long-Context Methods Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
ICLR 2025 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ICCV 2025 VisRL: Intention-Driven Visual Perception via Reinforced Reasoning Zhangquan Chen, Xufang Luo, Dongsheng Li
TMLR 2025 Zoomer: Adaptive Image Focus Optimization for Black-Box MLLM Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu
ICLR 2025 pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation Shentong Mo, Xufang Luo, Dongsheng Li
ICLR 2024 Addressing Signal Delay in Deep Reinforcement Learning Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 CNN Kernels Can Be the Best Shapelets Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
NeurIPSW 2024 LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation Aoqi Wu, Weiquan Huang, Yifan Yang, Xufang Luo, Yuqing Yang, Chunyu Wang, Liang Hu, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
NeurIPS 2024 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
ICMLW 2024 MInference: 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
ICMLW 2024 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
NeurIPSW 2024 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
ECCV 2024 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
AAAI 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
ICML 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
ICLR 2023 Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer Eric Qu, Xufang Luo, Dongsheng Li
NeurIPSW 2023 Toward Open-Ended Embodied Tasks Solving Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
NeurIPS 2022 Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
IJCAI 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
NeurIPS 2022 VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
ICLR 2022 Variational Oracle Guiding for Reinforcement Learning Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
UAI 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
IJCAI 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
AAAI 2018 CoChat: Enabling Bot and Human Collaboration for Task Completion Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie