Fengze Liu - RankMe

39 papers A* 6A 1Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AUTOCT: Automating Interpretable Clinical Trial Prediction with LLM Agents. CoRR Fengze Liu, Haoyu Wang, Joonhyuk Cho, Dan Roth, Andrew W. Lo
2025	A*	`conf`	AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents. EMNLP Fengze Liu, Haoyu Wang, Joonhyuk Cho, Dan Roth, Andrew Lo
2025	J	`jnl`	Event Causality Identification with Synthetic Control. CoRR Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson
2025	J	`jnl`	Exploring Polyglot Harmony: On Multilingual Data Allocation for Large Language Models Pretraining. CoRR Ping Guo, Yubing Ren, Binbin Li, Fengze Liu, Haobin Lin, Yifan Zhang, Bingni Zhang, Taifeng Wang, Yin Zheng
2025	J	`jnl`	MuRating: A High Quality Data Selecting Approach to Multilingual Large Language Model Pretraining. CoRR Zhixun Chen, Ping Guo, Wenhan Han, Yifan Zhang, Binbin Li, Haobin Lin, Fengze Liu, Yan Zhao, Bingni Zhang, Taifeng Wang, Yin Zheng, Meng Fang
2025	—	`conf`	Pre-tiering Matters: Proactive CXL Memory Tiering for Ephemeral Serverless Functions. ICA3PP (6) Fengze Liu, Zhiyuan Su, Guowei Liu, Hanwen Liu, Kaiyuan Qi, Laiping Zhao
2025	J	`jnl`	QuaDMix: Quality-Diversity Balanced Data Selection for Efficient LLM Pretraining. CoRR Fengze Liu, Weidong Zhou, Binbin Li, Zhimiao Yu, Yifan Zhang, Haobin Lin, Yifeng Yu, Bingni Zhang, Xiaohuan Zhou, Taifeng Wang, Yong Cao
2025	J	`jnl`	TiKMiX: Take Data Influence into Dynamic Mixture for Language Model Pre-training. CoRR Yifan Wang, Binbin Liu, Fengze Liu, Yuanfan Guo, Jiyao Deng, Xuecheng Wu, Weidong Zhou, Xiaohuan Zhou, Taifeng Wang
2024	J	`jnl`	3D genomic mapping reveals multifocality of human pancreatic precancers. Nat. Alicia M. Braxton, Ashley L. Kiemen, Mia P. Grahn, André Forjaz, Jeeun Parksong, Jaanvi Mahesh Babu, Jiaying Lai, Lily Zheng, Noushin Niknafs, Liping Jiang, Haixia Cheng, Qianqian Song, Rebecca Reichel, Sarah Graham, Alexander Damanakis, Catherine G. Fischer, Stephanie Mou, Cameron Metz, Julie Granger, Xiao-Ding Liu, Niklas Bachmann, Yutong Zhu, Yunzhou Liu, Cristina Almagro-Pérez, Ann Chenyu Jiang, Jeonghyun Yoo, Bridgette Kim, Scott Du, Eli Foster, Jocelyn Y. Hsu, Paula Andreu Rivera, Linda C. Chu, Fengze Liu, Elliot K. Fishman, Alan L. Yuille, Nicholas J. Roberts, Elizabeth D. Thompson, Robert B. Scharpf, Toby C. Cornish, Yuchen Jiao, Rachel Karchin, Ralph H. Hruban, Pei-Hsun Wu, Denis Wirtz, Laura D. Wood
2024	A*	`conf`	Event Causality Identification with Synthetic Control. EMNLP Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson
2024	A*	`conf`	L2B: Learning to Bootstrap Robust Models for Combating Label Noise. CVPR Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2024	J	`jnl`	Motion Guided Token Compression for Efficient Masked Video Modeling. CoRR Yukun Feng, Yangming Shi, Fengze Liu, Tan Yan
2023	A*	`conf`	Intriguing Findings of Frequency Selection for Image Deblurring. AAAI Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang
2023	J	`jnl`	SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation. CoRR Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin
2022	J	`jnl`	External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. IEEE Trans. Medical Imaging Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille
2022	J	`jnl`	External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. CoRR Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan L. Yuille
2022	J	`jnl`	Learning to Bootstrap for Combating Label Noise. CoRR Yuyin Zhou, Xianhang Li, Fengze Liu, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing
2022	—	`conf`	Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. MIDL Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu
2022	J	`jnl`	Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. CoRR Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan L. Yuille, Yongyi Lu
2021	—	`conf`	SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2021	J	`jnl`	SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2020	A	`conf`	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020	A*	`conf`	Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2020	J	`jnl`	JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	—	`conf`	JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020	—	`conf`	Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. ECCV (1) Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille
2020	J	`jnl`	Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation. CoRR Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille
2020	J	`jnl`	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020	J	`jnl`	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2019	J	`jnl`	An Alarm System For Segmentation Algorithm Based On Shape Model. CoRR Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu
2019	A*	`conf`	An Alarm System for Segmentation Algorithm Based on Shape Model. ICCV Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu
2019	J	`jnl`	Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2019	—	`conf`	FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. MLMI@MICCAI Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2019	J	`jnl`	FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. CoRR Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille
2019	—	`conf`	Joint Shape Representation and Classification for Detecting PDAC. MLMI@MICCAI Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2018	—	`conf`	Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI (4) Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	Joint Shape Representation and Classification for Detecting PDAC. CoRR Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille