Haifeng Liu

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 158

Top Venues

Publications

Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. LREC/COLING (2024)
Bang Zeng, Ming Cheng, Yao Tian, Haifeng Liu, Ming Li
Efficient Personal Voice Activity Detection with Wake Word Reference Speech. ICASSP (2024)
Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. LREC/COLING (2024)
Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer. Sci. China Inf. Sci. 67 (2) (2024)
Rui Xin, Pengfei Zhang, Xi Chen, Jiao Peng, Haifeng Liu
Knowledge Graph Question-Answering Based on Link Reasoning for Electrical Equipment. PEAI (2024)
Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR (2024)
Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
Boosting Few-Shot Learning via Attentive Feature Regularization. CoRR (2024)
Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
Boosting Few-Shot Learning via Attentive Feature Regularization. AAAI (2024)
Haifeng Liu, Benqing Guo, Yupeng Han, Jingwei Wu
An integrated LNA-phase shifter in 65 nm CMOS for Ka-band phased-array receivers. Int. J. Circuit Theory Appl. 52 (5) (2024)
Tongfei Li, Mingzheng Lai, Shixian Nie, Haifeng Liu, Zhiyao Liang, Wei Lv
Tropical cyclone trajectory based on satellite remote sensing prediction and time attention mechanism ConvLSTM model. Big Data Res. 36 (2024)
Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. INFOCOM (2024)
Baoxia Du, Hongyang Du, Haifeng Liu, Dusit Niyato, Peng Xin, Jun Yu, Mingyang Qi, You Tang
YOLO-Based Semantic Communication With Generative AI-Aided Resource Allocation for Digital Twins Construction. IEEE Internet Things J. 11 (5) (2024)
Yiwei Lin, Haifeng Liu, Luyi Ruan, Zhenqin Chen, Jinshan Xu
Advancing non-invasive fetal health monitoring: A time-frequency approach to extracting fetal electrocardiogram signals. Biomed. Signal Process. Control. 95 (2024)
Haoyun Yan, Jianquan Li, Haifeng Liu, Zhixin Tu, Ping Yang, Muye Pang, Yuquan Leng, Chenglong Fu
Locomotion Control on Human-Centaur System With Spherical Joint Interaction. IEEE Robotics Autom. Lett. 9 (5) (2024)
Yucong Zhang, Juan Liu, Yao Tian, Haifeng Liu, Ming Li
A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection. ICASSP (2024)
Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang
GENet: Guidance Enhancement Network for 3D Shape Recognition. IJCNN (2023)
Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD (2023)
Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin
SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. BIBM (2023)
Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang
UGTransformer: Unsupervised Graph Transformer Representation Learning. IJCNN (2023)
Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE (2023)
Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou
Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. CoRR (2023)
Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. CoRR (2023)
Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang
GLCNet: Global-Local Complementary Network for 3D Shape Recognition. IJCNN (2023)
Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. ISCA (2023)
Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin
FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. FPGA (2023)
Dezhong Chen, Wenfei Guo, Zichun Xie, Pengfei Xia, Xiaomin Luo, Shirong Ye, Weiping Jiang, Haifeng Liu
Ionospheric Irregularities Responses to Strong Geomagnetic Storms in Hong Kong Region Over The Past Two Solar Cycles (2001-2020). IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Baoxia Du, Hongyang Du, Haifeng Liu, Dusit Niyato, Peng Xin, Jun Yu, Mingyang Qi, You Tang
YOLO-based Semantic Communication with Generative AI-aided Resource Allocation for Digital Twins Construction. CoRR (2023)
Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD (2023)
Peng Yang, Laoming Zhang, Haifeng Liu, Guiying Li
Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. CoRR (2023)
Quanrun Li, Debiao He, Haifeng Liu, Xiaoying Jia, Zhichao Yang
MCPAP: A MSIS-based conditional privacy-preserving authentication protocol for smart grids. J. Syst. Archit. 143 (2023)
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR (2023)
Maoxin Yin, Yuheng Chen, Huixun Qian, Haifeng Liu, Junsheng Zhou
Enhancing Chinese Event Causality Identification with Supervised Contrastive Learning. CCIS (2023)
Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. IPDPS (2023)
Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai
Domain Reconstruction and Resampling for Robust Salient Object Detection. ACM Multimedia (2022)
Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. IPDPS (2022)
Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue
A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Haifeng Liu, Yukai Wang, Hongfei Lin, Bo Xu, Nan Zhao
Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. Neural Comput. Appl. 34 (20) (2022)
Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He
PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud. Int. J. Mach. Learn. Cybern. 13 (1) (2022)
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai
Lidar Point Cloud Guided Monocular 3D Object Detection. ECCV (1) (2022)
Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR (2022)
Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. CoRR (2022)
Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR (2022)
Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR (2022)
Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR (2022)
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR (2022)
Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. ECCV (1) (2022)
Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan
Dual constraints and adversarial learning for fair recommenders. Knowl. Based Syst. 239 (2022)
Hangxiao Lou, Haifeng Liu, Zhenqin Chen, Zi'ang Zhen, Bo Dong, Jinshan Xu
Bio-process inspired characterization of pregnancy evolution using entropy and its application in preterm birth detection. Biomed. Signal Process. Control. 75 (2022)
Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR (2022)
Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR (2022)
Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin
Perceived individual fairness with a molecular representation for medicine recommendations. Knowl. Based Syst. 247 (2022)
Kaiyuan Shi, Shaowu Zhang, Haifeng Liu, Yijia Zhang, Hongfei Lin
MGEDR: A Molecular Graph Encoder for Drug Recommendation. NLPCC (2) (2022)
Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang
Self-supervised learning for fair recommender systems. Appl. Soft Comput. 125 (2022)
Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. ECCV (20) (2022)
Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59 (3) (2022)
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Yiming Liu, Binjie Qin, Rong Li, Xintong Li, Anqi Huang, Haifeng Liu, Yisong Lv, Min Liu
Motion-Robust Multimodal Heart Rate Estimation Using BCG Fused Remote-PPG With Deep Facial ROI Tracker and Pose Constrained Kalman Filter. IEEE Trans. Instrum. Meas. 70 (2021)
Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. 30 (2021)
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI (2021)
Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML (2021)
Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR (2021)
Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai
SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR (2021)
Santosh Kumar Banbhrani, Bo Xu, Haifeng Liu, Hongfei Lin
SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. Inf. 12 (10) (2021)
Haifeng Liu, Hongfei Lin, Chen Shen, Zhihao Yang, Jian Wang, Liang Yang
Self-Supervised Learning with Heterogeneous Graph Neural Network for COVID-19 Drug Recommendation. BIBM (2021)
Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
TTFNeXt for real-time object detection. Neurocomputing 433 (2021)
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. ICML (2021)
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
Part-dependent Label Noise: Towards Instance-dependent Label Noise. NeurIPS (2020)
Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR (2020)
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
Multi-Class Classification from Noisy-Similarity-Labeled Data. CoRR (2020)
Haifeng Liu, Jigen Peng, Zhipeng Lin
A theoretical result of sparse signal recovery via alternating projection method. Inf. Sci. 506 (2020)
Haifeng Liu, Hongfei Lin, Chen Shen, Liang Yang, Yuan Lin, Bo Xu, Zhihao Yang, Jian Wang, Yuanyuan Sun
Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. BIBM (2020)
Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR (2020)
Benqing Guo, Jing Gong, Yao Wang, Chang Liu, Lei Li, Jingwei Wu, Haifeng Liu
Low-Frequency Noise in CMOS Switched-gm Mixers: A Quasi-Analytical Model. IEEE Access 8 (2020)
Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. IEEE Trans. Knowl. Data Eng. 32 (4) (2020)
Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. CoRR (2020)
Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
Training-Time-Friendly Network for Real-Time Object Detection. AAAI (2020)
Kaijun Liu, Shengwei Xu, Guoai Xu, Miao Zhang, Dawei Sun, Haifeng Liu
A Review of Android Malware Detection Approaches Based on Machine Learning. IEEE Access 8 (2020)
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
Class2Simi: A New Perspective on Learning with Label Noise. CoRR (2020)
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
Parts-dependent Label Noise: Towards Instance-dependent Label Noise. CoRR (2020)
Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
Adversarial-Learned Loss for Domain Adaptation. AAAI (2020)
Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR (2020)
Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
Adversarial-Learned Loss for Domain Adaptation. CoRR (2020)
Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang
Socially-Aware Conference Participant Recommendation with Personality Traits. CoRR (2020)
Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao
Improving Social Recommendations with Item Relationships. ICONIP (4) (2020)
Benqing Guo, Haifeng Liu, Yao Wang, Jun Chen
A 60 GHz single-to-differential LNA using slow-wave CPW and transformer coupling in 28 nm CMOS. ASICON (2019)
Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR (2019)
Zichen Yang, Haifeng Liu, Deng Cai
On the Diversity of Conditional Image Synthesis With Semantic Layouts. IEEE Trans. Image Process. 28 (6) (2019)
Huasong Shan, Yuan Chen, Haifeng Liu, Yunpeng Zhang, Xiao Xiao, Xiaofeng He, Min Li, Wei Ding
?-Diagnosis: Unsupervised and Real-time Diagnosis of Small- window Long-tail Latency in Large-scale Microservice Platforms. WWW (2019)
Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu
CFS: A Distributed File System for Large Scale Container Platforms. SIGMOD Conference (2019)
Benqing Guo, Huifen Wang, Haifeng Liu
A CMOS Low-noise Active Mixer with Capacitive Neutralization Technique. ICICDT (2019)
Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyuan Ni, Ning Wang
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform. CoRR (2019)
Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
Training-Time-Friendly Network for Real-Time Object Detection. CoRR (2019)
Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu
CFS: A Distributed File System for Large Scale Container Platforms. CoRR (2019)
Haifeng Liu, Jinjun Zhang, Huasong Shan, Min Li, Yuan Chen, Xiaofeng He, Xiaowei Li
JCallGraph: Tracing Microservices in Very Large Scale Container Cloud Platforms. CLOUD (2019)
Bo Yang, Huaping Xu, Shuo Li, Zening Song, Haifeng Liu
Joint Distribution of Interferometric Phases for Multibaseline Insar. IGARSS (2018)
Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai
Addressing the Item Cold-start Problem by Attribute-driven Active Learning. CoRR (2018)
Yongli Yang, Zhenhu Ning, Yongquan Cai, Peng Liang, Haifeng Liu
Research on parallelisation of collaborative filtering recommendation algorithm based on Spark. Int. J. Wirel. Mob. Comput. 14 (4) (2018)
Haifeng Liu, Chao Ren, Zhongtian Zheng, Yueji Liang, Xianjian Lu
Study of a Gray Genetic BP Neural Network Model in Fault Monitoring and a Diagnosis System for Dam Safety. ISPRS Int. J. Geo Inf. 7 (1) (2018)
Haifeng Liu, Bo Liu
High-Sensitivity Fabry-Pérot Strain Senor Based on Fusion Splicing Photonic Crystal Fiber and Single Mode Fiber. CSNDSP (2018)
Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haifeng Liu