Fenglin Liu

140 papers A* 19A 1B 4C 2Misc 2Journal 100Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
A variable gaussian kernel scale active contour model based on Jeffreys divergence for ICT image segmentation.
Pattern Recognit.
Zexin Liu, Qi Li, Junyao Wang, Tingyuan Deng, Rifeng Zhou, Yufang Cai, Fenglin Liu
2026 J jnl
MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context.
Adv. Intell. Syst.
Zishan Gu, Jiayuan Chen, Fenglin Liu, Changchang Yin, Ping Zhang
2026 J jnl
Structure-constrained Language-informed Diffusion Model for Unpaired Low-dose Computed Tomography Angiography Reconstruction.
CoRR
Genyuan Zhang, Zihao Wang, Zhifan Gao, Lei Xu, Zhen Zhou, Haijun Yu, Jianjia Zhang, Xiujian Liu, Weiwei Zhang, Shaoyu Wang, Huazhu Fu, Fenglin Liu, Weiwen Wu
2025 J jnl
A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning.
Adv. Intell. Syst.
Zishan Gu, Fenglin Liu, Jiayuan Chen, Changchang Yin, Ping Zhang
2025 J jnl
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.
npj Digit. Medicine
Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025 J jnl
A scoping review of large language models for generative tasks in mental health care.
npj Digit. Medicine
Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous
2025 J jnl
Advancing skeleton-based human behavior recognition: multi-stream fusion spatiotemporal graph convolutional networks.
Complex Intell. Syst.
Fenglin Liu, Chenyu Wang, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2025 J jnl
Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting.
IEEE Trans. Pattern Anal. Mach. Intell.
Fenglin Liu, Xian Wu, Jinfa Huang, Bang Yang, Kim Branson, Patrick Schwab, Lei A. Clifton, Ping Zhang, Jiebo Luo, Yefeng Zheng, David A. Clifton
2025 J jnl
Artificial intelligence for accurate classification of respiratory abnormality levels using image-based features and interpretable insights.
Appl. Soft Comput.
Wei Zeng, Liangmin Shan, Qinghui Wang, Fenglin Liu, Ying Wang, Chengzhi Yuan, Shaoyi Du
2025 A* conf
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning.
EMNLP
Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu
2025 J jnl
Automatic detection of obstructive sleep apnea through nonlinear dynamics of single-lead ECG signals.
Appl. Intell.
Liangjie Chen, Fenglin Liu, Ying Wang, Qinghui Wang, Chengzhi Yuan, Wei Zeng
2025 J jnl
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
CoRR
Jiazhen Pan, Bailiang Jian, Paul Hager, Yundi Zhang, Che Liu, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Clinical-R1: Empowering Large Language Models for Faithful and Comprehensive Reasoning with Clinical Objective Relative Policy Optimization.
CoRR
Boyang Gu, Hongjian Zhou, Bradley Segal, Jinge Wu, Zeyu Cao, Hantao Zhong, Lei A. Clifton, Fenglin Liu, David A. Clifton
2025 C conf
Design of Comprehensive Experiments for Signals and Systems Based on Wireless Rechargeable Sensor Network with Applications.
HPSR
Jingjing Chen, Fenglin Liu, Wenfeng He
2025 — conf
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning.
EMNLP (Findings)
Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton
2025 — conf
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
MICCAI (7)
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 J jnl
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
CoRR
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 J jnl
Orthogonal translation computed laminography reconstruction based on self-prior information and adaptive weighted total variation.
Displays
Chuandong Tan, Chao Long, Yarui Xi, Zhiting Chen, Xinxin Lin, Fenglin Liu, Yufang Cai, Liming Duan
2025 J jnl
PointCoCa: Point contrastive captioner pre-trained with prompt-driven datasets generation enhances point cloud shape understanding.
Appl. Intell.
Fenglin Liu, Tao Zhou, Wei Wang, Jianliang Ma, Dong Li, Wei Xi
2025 J jnl
Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding.
ACM Trans. Knowl. Discov. Data
Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Chenyu You, Sherry Ma, Xian Wu, Wei Fan, Xu Sun
2025 J jnl
RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction.
CoRR
Fenglin Liu, Jinge Wu, Hongjian Zhou, Xiao Gu, Soheila Molaei, Anshul Thakur, Lei A. Clifton, Honghan Wu, David A. Clifton
2025 J jnl
Score-Based Generative Model With Conditional Null-Space Learning for Limited-Angle Tomographic Reconstruction in Medical Imaging.
IEEE Trans. Computational Imaging
Genyuan Zhang, Zihao Wang, Haijun Yu, Song Ni, Haixia Xie, Qiegen Liu, Fenglin Liu, Shaoyu Wang
2025 J jnl
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals.
CoRR
Xiao Gu, Wei Tang, Jinpei Han, Veer Sangha, Fenglin Liu, Shreyank N. Gowda, Antônio H. Ribeiro, Patrick Schwab, Kim Branson, Lei A. Clifton, Antonio Luiz P. Ribeiro, Zhangdaihong Liu, David A. Clifton
2025 J jnl
Wavelet-Optimized Motion Artifact Correction in 3D MRI Using Pre-trained 2D Score Priors.
CoRR
Genyuan Zhang, Xuyang Duan, Songtao Zhu, Ao Wang, Fenglin Liu
2024 J jnl
A Spatial-State-Based Omni-Directional Collision Warning System for Intelligent Vehicles.
IEEE Trans. Intell. Transp. Syst.
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N. N. Sze, Mohammed A. Quddus, Helai Huang
2024 J jnl
Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks.
CoRR
Yining Hua, Hongbin Na, Zehan Li, Fenglin Liu, Xiao Fang, David A. Clifton, John B. Torous
2024 J jnl
DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime.
CoRR
Zhiyao Luo, Mingcheng Zhu, Fenglin Liu, Jiali Li, Yangchen Pan, Jiandong Zhou, Tingting Zhu
2024 J jnl
Developing a new integrated advanced driver assistance system in a connected vehicle environment.
Expert Syst. Appl.
Wenjing Zhao, Siyuan Gong, Dezong Zhao, Fenglin Liu, N. N. Sze, Mohammed Quddus, Helai Huang
2024 J jnl
Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences.
EURASIP J. Adv. Signal Process.
Jianmin Xu, Fenglin Liu, Qinghui Wang, Ruirui Zou, Ying Wang, Junling Zheng, Shaoyi Du, Wei Zeng
2024 J jnl
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning.
CoRR
Zishan Gu, Fenglin Liu, Changchang Yin, Ping Zhang
2024 A* conf
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
EMNLP
Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton
2024 J jnl
Large Language Models in Mental Health Care: a Scoping Review.
CoRR
Yining Hua, Fenglin Liu, Kailai Yang, Zehan Li, Yi-han Sheu, Peilin Zhou, Lauren V. Moran, Sophia Ananiadou, Andrew Beam
2024 J jnl
MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context.
CoRR
Zishan Gu, Changchang Yin, Fenglin Liu, Ping Zhang
2024 J jnl
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation With Extremely Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell.
Chenyu You, Weicheng Dai, Fenglin Liu, Yifei Min, Nicha C. Dvornek, Xiaoxiao Li, David A. Clifton, Lawrence H. Staib, James S. Duncan
2024 J jnl
OSNet and MNetO: Two Types of General Reconstruction Architectures to Transform DBP Images for Linear Computed Tomography in Multi-Scenarios.
IEEE Trans. Instrum. Meas.
Zhisheng Wang, Zihan Deng, Fenglin Liu, Yixing Huang, Haijun Yu, Junning Cui
2024 J jnl
Pig-DTpV: A prior information guided directional TpV algorithm for orthogonal translation computed laminography.
Displays
Yarui Xi, Zhiwei Qiao, Ao Wang, Chenyun Fang, Fenglin Liu
2024 J jnl
Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare.
npj Digit. Medicine
Anshul Thakur, Soheila Molaei, Pafue Christy Nganjimi, Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton
2024 J jnl
SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation.
CoRR
Jinge Wu, Yunsoo Kim, Daqian Shi, David A. Clifton, Fenglin Liu, Honghan Wu
2024 J jnl
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton
2023 J jnl
A Heart Image Segmentation Method Based on Position Attention Mechanism and Inverted Pyramid.
Sensors
Jinbin Luo, Qinghui Wang, Ruirui Zou, Ying Wang, Fenglin Liu, Haojie Zheng, Shaoyi Du, Chengzhi Yuan
2023 J jnl
A Salient Object Detection Method Based on Boundary Enhancement.
Sensors
Falin Wen, Qinghui Wang, Ruirui Zou, Ying Wang, Fenglin Liu, Yang Chen, Linghao Yu, Shaoyi Du, Chengzhi Yuan
2023 J jnl
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.
CoRR
Hongjian Zhou, Boyang Gu, Xinyu Zou, Yiru Li, Sam S. Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, Fenglin Liu
2023 J jnl
A medical multimodal large language model for future pandemics.
npj Digit. Medicine
Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton
2023 J jnl
A novel technique for the detection of myocardial dysfunction using ECG signals based on CEEMD, DWT, PSR and neural networks.
Artif. Intell. Rev.
Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2023 J jnl
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction.
CoRR
Zhisheng Wang, Haijun Yu, Yixing Huang, Shunli Wang, Song Ni, Zongfeng Li, Fenglin Liu, Junning Cui
2023 J jnl
Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation.
EURASIP J. Adv. Signal Process.
Qinghui Wang, Fenglin Liu, Ruirui Zou, Ying Wang, Chenyang Zheng, Zhiqiang Tian, Shaoyi Du, Wei Zeng
2023 — conf
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning.
ACL (1)
Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou
2023 J jnl
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning.
CoRR
Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou
2023 — conf
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
ACL (Findings)
Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou
2023 J jnl
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
CoRR
Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou
2023 J jnl
OSNet & MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios.
CoRR
Zhisheng Wang, Zihan Deng, Fenglin Liu, Yixing Huang, Haijun Yu, Junning Cui
2023 A* conf
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
NeurIPS
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, David A. Clifton, S. Kevin Zhou, Lawrence H. Staib, James S. Duncan
2023 J jnl
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective.
CoRR
Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan
2023 J jnl
Spectral CT Image-Domain Material Decomposition via Sparsity Residual Prior and Dictionary Learning.
IEEE Trans. Instrum. Meas.
Tao Zhang, Haijun Yu, Yarui Xi, Shaoyu Wang, Fenglin Liu
2023 J jnl
Weighted Filtered Back-Projection for Source Translation Computed Tomography Reconstruction.
IEEE Trans. Instrum. Meas.
Jie Chen, Haijun Yu, Song Ni, Chuanjiang Liu, Wenjie Ge, Yixing Huang, Fenglin Liu
2023 J jnl
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.
CoRR
Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton
2022 J jnl
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation.
CoRR
Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, Xian Wu
2022 J jnl
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.
CoRR
Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun
2022 J jnl
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.
IEEE Trans. Pattern Anal. Mach. Intell.
Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun
2022 A* conf
Class-Aware Adversarial Transformers for Medical Image Segmentation.
NeurIPS
Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022 J jnl
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation.
CoRR
Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan
2022 J jnl
Competence-based Multimodal Curriculum Learning for Medical Report Generation.
CoRR
Fenglin Liu, Shen Ge, Xian Wu
2022 J jnl
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
CoRR
Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou
2022 J jnl
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.
ACM Trans. Knowl. Discov. Data
Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou
2022 — conf
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model.
NAACL-HLT (Findings)
Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, Yuexian Zou
2022 J jnl
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model.
CoRR
Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, Yuexian Zou
2022 A* conf
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations.
NeurIPS
Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
2022 J jnl
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations.
CoRR
Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen
2022 A* conf
Graph-in-Graph Network for Automatic Gene Ontology Description Generation.
KDD
Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang
2022 J jnl
Graph-in-Graph Network for Automatic Gene Ontology Description Generation.
CoRR
Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang
2022 J jnl
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels.
CoRR
Chenyu You, Weicheng Dai, Fenglin Liu, Haoran Su, Xiaoran Zhang, Lawrence H. Staib, James S. Duncan
2022 J jnl
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.
CoRR
Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun
2022 A* conf
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.
NeurIPS
Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton
2022 J jnl
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.
CoRR
Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton
2022 J jnl
Spectral CT reconstruction via Spectral-Image Tensor and Bidirectional Image-gradient minimization.
Comput. Biol. Medicine
Weiwen Wu, Hengyong Yu, Fenglin Liu, Jianjia Zhang, Varut Vardhanabhuti
2021 J jnl
A new approach for the detection of abnormal heart sound signals using TQWT, VMD and neural networks.
Artif. Intell. Rev.
Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021 J jnl
A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks.
Soft Comput.
Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021 Misc conf
Adaptive Bi-Directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.
ICASSP
Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou
2021 — conf
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation.
MICCAI (3)
Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, Xian Wu
2021 A* conf
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention.
AAAI
Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou
2021 J jnl
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model.
CoRR
Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou
2021 A* conf
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.
NeurIPS
Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun
2021 J jnl
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.
CoRR
Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun
2021 — conf
Competence-based Multimodal Curriculum Learning for Medical Report Generation.
ACL/IJCNLP (1)
Fenglin Liu, Shen Ge, Xian Wu
2021 — conf
Contrastive Attention for Automatic Chest X-ray Report Generation.
ACL/IJCNLP (Findings)
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
2021 J jnl
Contrastive Attention for Automatic Chest X-ray Report Generation.
CoRR
Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun
2021 — conf
Design of a Controllable Push-triggered Microfluidic Chip for Vitrification Reagent Loading/unloading.
NEMS
Guangyi Cai, Boshi Jiang, Jiaxin Zhu, Fenglin Liu, Tianzhun Wu
2021 J jnl
Detection of heart valve disorders from PCG signals using TQWT, FA-MVEMD, Shannon energy envelope and deterministic learning.
Artif. Intell. Rev.
Wei Zeng, Zixiang Lin, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2021 J jnl
Exploring Semantic Relationships for Unpaired Image Captioning.
CoRR
Fenglin Liu, Meng Gao, Tianhao Zhang, Yuexian Zou
2021 A* conf
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation.
CVPR
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou
2021 J jnl
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation.
CoRR
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou
2021 J jnl
GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA.
Nucleic Acids Res.
Chenwei Li, Zefang Tang, Wenjie Zhang, Zhaochen Ye, Fenglin Liu
2021 A* conf
Non-Autoregressive Coarse-to-Fine Video Captioning.
AAAI
Bang Yang, Yuexian Zou, Fenglin Liu, Can Zhang
2021 — conf
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.
ACL/IJCNLP (Findings)
Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun
2021 J jnl
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.
CoRR
Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun
2021 J jnl
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets.
CoRR
Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou
2021 Misc conf
Sentiment Injected Iteratively Co-Interactive Network for Spoken Language Understanding.
ICASSP
Zhiqi Huang, Fenglin Liu, Peilin Zhou, Yuexian Zou
2021 J jnl
Spectral-Image Decomposition With Energy-Fusion Sensing for Spectral CT Reconstruction.
IEEE Trans. Instrum. Meas.
Shaoyu Wang, Haijun Yu, Yarui Xi, Changcheng Gong, Weiwen Wu, Fenglin Liu
2021 J jnl
Weighted adaptive non-local dictionary for low-dose CT reconstruction.
Signal Process.
Haijun Yu, Shaoyu Wang, Weiwen Wu, Changcheng Gong, Linbo Wang, Zhenzhen Pi, Fenglin Liu
2020 J jnl
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension.
CoRR
Nuo Chen, Fenglin Liu, Chenyu You, Peilin Zhou, Yuexian Zou
2020 A* conf
Bridging the Gap between Vision and Language Domains for Improved Image Captioning.
ACM Multimedia
Fenglin Liu, Xian Wu, Shen Ge, Xiaoyu Zhang, Wei Fan, Yuexian Zou
2020 J jnl
Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
Artif. Intell. Medicine
Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2020 J jnl
Exploring and Distilling Cross-Modal Information for Image Captioning.
CoRR
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun
2020 B conf
Federated Learning for Spoken Language Understanding.
COLING
Zhiqi Huang, Fenglin Liu, Yuexian Zou
2020 A* conf
Federated Learning for Vision-and-Language Grounding Problems.
AAAI
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou
2020 J jnl
Genomic basis for RNA alterations in cancer.
Nat.
Claudia Calabrese, Natalie R. Davidson, Deniz Demircioglu, Nuno A. Fonseca, Yao He, André Kahles, Kjong-Van Lehmann, Fenglin Liu, Yuichi Shiraishi, Cameron M. Soulette, Lara Urban, Liliana Greger, Siliang Li, Dongbing Liu, Marc D. Perry, Qian Xiang, Fan Zhang, Junjun Zhang, Peter Bailey, Serap Erkek, Katherine A. Hoadley, Yong Hou, Matthew R. Huska, Helena Kilpinen, Jan O. Korbel, Maximillian G. Marin, Julia Markowski, Tannistha Nandi, Qiang Pan-Hammarström, Chandra Sekhar Pedamallu, Reiner Siebert, Stefan G. Stark, Hong Su, Patrick Tan, Sebastian M. Waszak, Christina K. Yung, Shida Zhu, Philip Awadalla, Matthew Meyerson, B. F. Francis Ouellette, Kui Wu, Huanming Yang, Samirkumar B. Amin, Aurélien Chateigner, Isidro Cortés-Ciriano, Brian Craft, Milana Frenkel-Morgenstern, Mary Goldman, Ekta Khurana, Fabien C. Lamaze, Chang Li, Xiaobo Li, Xinyue Li, Xingmin Liu, Morten Muhlig Nielsen, Akinyemi I. Ojesina, Peter J. Park, Jakob Skou Pedersen, Bin Tean Teh, Jian Wang, Heng Xiong, Sergei Yakneen, Chen Ye, Xiuqing Zhang, Liangtao Zheng, Jingchun Zhu, Chad Creighton, Jonathan Göke, Roland F. Schwarz, Oliver Stegle, Zemin Zhang, Alvis Brazma, Gunnar Rätsch, Angela N. Brooks
2020 J jnl
Identification of epileptic seizures in EEG signals using time-scale decomposition (ITD), discrete wavelet transform (DWT), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev.
Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2020 J jnl
Image-Domain Based Material Decomposition by Multi-Constraint Optimization for Spectral CT.
IEEE Access
Jian Feng, Haijun Yu, Shaoyu Wang, Fenglin Liu
2020 J jnl
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning.
CoRR
Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun
2020 B conf
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding.
ICPR
Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou
2020 J jnl
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding.
CoRR
Peilin Zhou, Zhiqi Huang, Fenglin Liu, Yuexian Zou
2020 A* conf
Prophet Attention: Predicting Attention with Future Attention.
NeurIPS
Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun
2020 B conf
Rethinking Skip Connection with Layer Normalization.
COLING
Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou
2020 J jnl
Towards Data Distillation for End-to-end Spoken Conversational Question Answering.
CoRR
Chenyu You, Nuo Chen, Fenglin Liu, Dongchao Yang, Yuexian Zou
2019 A* conf
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.
NeurIPS
Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun
2019 J jnl
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.
CoRR
Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun
2019 J jnl
Classification of asymptomatic and osteoarthritic knee gait patterns using gait analysis via deterministic learning.
Artif. Intell. Rev.
Wei Zeng, Limin Ma, Chengzhi Yuan, Fenglin Liu, Qinghui Wang, Ying Wang, Yu Zhang
2019 J jnl
Classification of focal and non focal EEG signals using empirical mode decomposition (EMD), phase space reconstruction (PSR) and neural networks.
Artif. Intell. Rev.
Wei Zeng, Mengqing Li, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2019 J jnl
Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.
Neural Networks
Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang
2019 J jnl
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT.
CoRR
Weiwen Wu, Haijun Yu, Peijun Chen, Fulin Luo, Fenglin Liu, Qian Wang, Yining Zhu, Yanbo Zhang, Jian Feng, Hengyong Yu
2019 A* conf
Exploring Semantic Relationships for Image Captioning without Parallel Data.
ICDM
Fenglin Liu, Meng Gao, Tianhao Zhang, Yuexian Zou
2019 A* conf
Exploring and Distilling Cross-Modal Information for Image Captioning.
IJCAI
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun
2019 A conf
Generating Paraphrase with Topic as Prior Knowledge.
CIKM
Yuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang
2019 J jnl
Kinect-based hand gesture recognition using trajectory information, hand motion dynamics and neural networks.
Artif. Intell. Rev.
Fenglin Liu, Wei Zeng, Chengzhi Yuan, Qinghui Wang, Ying Wang
2019 J jnl
Non-Autoregressive Video Captioning with Iterative Refinement.
CoRR
Bang Yang, Fenglin Liu, Yuexian Zou
2019 J jnl
Non-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction.
IEEE Trans. Medical Imaging
Weiwen Wu, Fenglin Liu, Yanbo Zhang, Qian Wang, Hengyong Yu
2019 B conf
Self-Adaptive Scaling for Learnable Residual Structure.
CoNLL
Fenglin Liu, Meng Gao, Yuanxin Liu, Kai Lei
2019 J jnl
Spectral CT Reconstruction - ASSIST: Aided by Self-Similarity in Image-Spectral Tensors.
IEEE Trans. Computational Imaging
Wenjun Xia, Weiwen Wu, Shanzhou Niu, Fenglin Liu, Jiliu Zhou, Hengyong Yu, Ge Wang, Yi Zhang
2019 — conf
Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral Tensors.
ISBI
Wenjun Xia, Weiwen Wu, Fenglin Liu, Hengyong Yu, Jiliu Zhou, Ge Wang, Yi Zhang
2018 J jnl
Block Matching Frame based Material Reconstruction for Spectral CT.
CoRR
Weiwen Wu, Qian Wang, Fenglin Liu, Yining Zhu, Hengyong Yu
2018 J jnl
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary.
CoRR
Weiwen Wu, Yanbo Zhang, Qian Wang, Fenglin Liu, Peijun Chen, Hengyong Yu
2018 J jnl
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction.
CoRR
Weiwen Wu, Fenglin Liu, Yanbo Zhang, Qian Wang, Hengyong Yu
2018 A* conf
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
EMNLP
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun
2018 J jnl
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.
CoRR
Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun
2017 A* conf
IF-Matching: Towards Accurate Map-Matching with Information Fusion.
ICDE
Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, Heng Tao Shen
2017 J jnl
IF-Matching: Towards Accurate Map-Matching with Information Fusion.
IEEE Trans. Knowl. Data Eng.
Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, Heng Tao Shen
2014 J jnl
"Bioinformatics: Introduction and Methods, " a Bilingual Massive Open Online Course (MOOC) as a New Example for Global Bioinformatics Education.
PLoS Comput. Biol.
Yang Ding, Meng Wang, Yao He, Adam Yongxin Ye, Xiaoxu Yang, Fenglin Liu, Yuqi Meng, Ge Gao, Liping Wei
2014 J jnl
Mathematical Methods in Biomedical Imaging 2014.
Comput. Math. Methods Medicine
Peng Feng, Kumar Durai, Fenglin Liu, Xiaobo Qu
2014 — conf
TOP-level designs of a hybrid low field MRI-CT system for pulmonary imaging.
ISBI
Venkata R. Yelleswarapu, Fenglin Liu, Wenxiang Cong, Ge Wang
2007 C conf
On Checking the Compatibility of Web Services' Policies.
PDCAT
Zakaria Maamar, Quan Z. Sheng, Hamdi Yahyaoui, Djamal Benslimane, Fenglin Liu