Xufang Luo - RankMe

66 papers A* 20A 1B 1Misc 1Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models. CoRR Lixin Xiu, Xufang Luo, Hideki Nakayama
2026	J	`jnl`	Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization. CoRR Zeyuan Liu, Jeonghye Kim, Xufang Luo, Dongsheng Li, Yuqing Yang
2026	A*	`conf`	LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation. AAAI Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Usman Naseem, Chunyu Wang, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu, Liang Hu
2026	J	`jnl`	SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling. CoRR Yiqi Zhang, Huiqiang Jiang, Xufang Luo, Zhihe Yang, Chengruidong Zhang, Yifei Shen, Dongsheng Li, Yuqing Yang, Lili Qiu, Yang You
2026	J	`jnl`	Understanding Reasoning in LLMs through Strategic Information Allocation under Uncertainty. CoRR Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dongsheng Li, Yuqing Yang
2026	J	`jnl`	Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? CoRR Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang
2026	J	`jnl`	pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. CoRR Shentong Mo, Xufang Luo, Dongsheng Li
2025	J	`jnl`	A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer. CoRR Yuhui Tao, Zhongwei Zhao, Zilong Wang, Xufang Luo, Feng Chen, Kang Wang, Chuanfu Wu, Xue Zhang, Shaoting Zhang, Jiaxi Yao, Xingwei Jin, Xinyang Jiang, Yifan Yang, Dongsheng Li, Lili Qiu, Zhiqiang Shao, Jianming Guo, Nengwang Yu, Shuo Wang, Ying Xiong
2025	J	`jnl`	Agent Lightning: Train ANY AI Agents with Reinforcement Learning. CoRR Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Siyun Zhao, Dongsheng Li, Luna K. Qiu, Yuqing Yang
2025	J	`jnl`	DermINO: Hybrid Pretraining for a Versatile Dermatology Foundation Model. CoRR Jingkai Xu, De Cheng, Xiangqian Zhao, Jungang Yang, Zilong Wang, Xinyang Jiang, Xufang Luo, Lili Chen, Xiaoli Ning, Chengxu Li, Xinzhu Zhou, Xuejiao Song, Ang Li, Qingyue Xia, Zhou Zhuang, Hongfei Ouyang, Ke Xue, Yujun Sheng, Rusong Meng, Feng Xu, Xi Yang, Weimin Ma, Yusheng Lee, Dongsheng Li, Xinbo Gao, Jianming Liang, Lili Qiu, Nannan Wang, Xianbo Zuo, Cui Yong
2025	J	`jnl`	Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs. CoRR Zhihe Yang, Xufang Luo, Zilong Wang, Dongqi Han, Zhiyuan He, Dongsheng Li, Yunjian Xu
2025	J	`jnl`	MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention. CoRR Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025	A*	`conf`	MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention. ICML Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025	—	`conf`	Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel. ACL (Findings) Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
2025	A*	`conf`	Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. CVPR Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
2025	J	`jnl`	Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. CoRR Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li
2025	J	`jnl`	On Memory Construction and Retrieval for Personalized Conversational Agents. CoRR Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
2025	A*	`conf`	SCBench: A KV Cache-Centric Analysis of Long-Context Methods. ICLR Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2025	A*	`conf`	SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. ICLR Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao
2025	J	`jnl`	Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views. CoRR Zhangquan Chen, Manyuan Zhang, Xinlei Yu, Xufang Luo, Mingze Sun, Zihao Pan, Yan Feng, Peng Pei, Xunliang Cai, Ruqi Huang
2025	J	`jnl`	VisRL: Intention-Driven Visual Perception via Reinforced Reasoning. CoRR Zhangquan Chen, Xufang Luo, Dongsheng Li
2025	J	`jnl`	Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. CoRR 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
2025	J	`jnl`	Zoomer: Adaptive Image Focus Optimization for Black-box MLLM. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. ICLR Shentong Mo, Xufang Luo, Dongsheng Li
2025	J	`jnl`	ΔL Normalization: Rethink Loss Aggregation in RLVR. CoRR Zhiyuan He, Xufang Luo, Yike Zhang, Yuqing Yang, Lili Qiu
2024	J	`jnl`	A Large-scale Medical Visual Task Adaptation Benchmark. CoRR Shentong Mo, Xufang Luo, Yansen Wang, Dongsheng Li
2024	A*	`conf`	Addressing Signal Delay in Deep Reinforcement Learning. ICLR William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
2024	A*	`conf`	CNN Kernels Can Be the Best Shapelets. ICLR Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
2024	Misc	`conf`	Designing Network Algorithms via Large Language Models. HotNets Zhiyuan He, Aashish Gottipati, Lili Qiu, Xufang Luo, Kenuo Xu, Yuqing Yang, Francis Y. Yan
2024	J	`jnl`	LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models. CoRR Zhiyuan He, Aashish Gottipati, Lili Qiu, Francis Y. Yan, Xufang Luo, Kenuo Xu, Yuqing Yang
2024	J	`jnl`	LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation. CoRR Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu
2024	J	`jnl`	LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation. CoRR Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Liang Hu, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
2024	—	`conf`	LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) 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
2024	J	`jnl`	LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR 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
2024	J	`jnl`	LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning. CoRR Shentong Mo, Yansen Wang, Xufang Luo, Dongsheng Li
2024	—	`conf`	LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. ACL (1) Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2024	A*	`conf`	MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. NeurIPS 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
2024	J	`jnl`	MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention. CoRR 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
2024	J	`jnl`	Mitigate Position Bias in Large Language Models via Scaling a Single Dimension. CoRR Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu
2024	J	`jnl`	SCBench: A KV Cache-Centric Analysis of Long-Context Methods. CoRR Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
2024	—	`conf`	Unified Medical Image Pre-training in Language-Guided Common Semantic Space. ECCV (81) Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu
2023	J	`jnl`	AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine. CoRR Jie Lian, Xufang Luo, Caihua Shan, Dongqi Han, Varut Vardhanabhuti, Dongsheng Li
2023	A*	`conf`	Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
2023	J	`jnl`	Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang
2023	A*	`conf`	CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
2023	A*	`conf`	Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. ICLR Eric Qu, Xufang Luo, Dongsheng Li
2023	J	`jnl`	Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
2023	J	`jnl`	LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. CoRR Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
2023	B	`conf`	Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. SMC Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023	J	`jnl`	Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. CoRR Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023	J	`jnl`	Toward Open-ended Embodied Tasks Solving. CoRR William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
2023	J	`jnl`	Unified Medical Image Pre-training in Language-Guided Common Semantic Space. CoRR Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu
2022	A*	`conf`	Accurate and Explainable Recommendation via Review Rationalization. WWW Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu
2022	A*	`conf`	Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Bootstrapped Transformer for Offline Reinforcement Learning. CoRR Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022	A*	`conf`	MINDSim: User Simulator for News Recommenders. WWW Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
2022	A*	`conf`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022	A*	`conf`	VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. NeurIPS Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
2022	J	`jnl`	VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. CoRR Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li
2022	A*	`conf`	Variational oracle guiding for reinforcement learning. ICLR Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2021	A	`conf`	Path-BN: Towards effective batch normalization in the Path Space for ReLU networks. UAI Xufang Luo, Qi Meng, Wei Chen, Yunhong Wang, Tie-Yan Liu
2020	A*	`conf`	I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations. IJCAI Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
2020	J	`jnl`	PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms. Neurocomputing Xufang Luo, Yunhong Wang
2019	—	`conf`	Improving Deep Learning by Regularized Scale-Free MSE of Representations. ICONIP (1) Xufang Luo, Mingyang Yi, Yunhong Wang
2018	A*	`conf`	CoChat: Enabling Bot and Human Collaboration for Task Completion. AAAI Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie