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2020 – today
- 2022
[j55]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: 103587 (2022)- [j54]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): 102936 (2022) - [j53]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: 108058 (2022) - [j52]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: 108755 (2022) - [j51]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): 39-47 (2022) - [c107]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: 246-257 - [c106]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: 1684-1693 - [i26]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 abs/2203.09780 (2022) - [i25]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 abs/2205.04181 (2022) - [i24]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR abs/2207.08531 (2022) - [i23]Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu:
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. CoRR abs/2207.13317 (2022) - 2021
- [j50]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
TTFNeXt for real-time object detection. Neurocomputing 433: 59-70 (2021) - [j49]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): 389 (2021) - [j48]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: 1-15 (2021) - [j47]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: 2898-2907 (2021) - [c105]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI 2021: 3547-3554 - [c104]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: 1412-1417 - [c103]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: 10717-10726 - [c102]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: 11285-11295 - [i22]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR abs/2101.12521 (2021) - [i21]Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai:
SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR abs/2103.10042 (2021) - 2020
- [j46]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: 124579-124607 (2020) - [j45]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: 191219-191230 (2020) - [j44]Haifeng Liu, Jigen Peng, Zhipeng Lin:
A theoretical result of sparse signal recovery via alternating projection method. Inf. Sci. 506: 51-57 (2020) - [j43]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): 631-644 (2020) - [c101]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. AAAI 2020: 3521-3528 - [c100]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. AAAI 2020: 11685-11692 - [c99]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: 319-322 - [c98]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: 763-770 - [c97]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 - [i20]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. CoRR abs/2001.01046 (2020) - [i19]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 abs/2002.06508 (2020) - [i18]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 abs/2004.00186 (2020) - [i17]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 abs/2006.07831 (2020) - [i16]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 abs/2006.07836 (2020) - [i15]Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao:
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. CoRR abs/2008.04652 (2020) - [i14]Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang:
Socially-Aware Conference Participant Recommendation with Personality Traits. CoRR abs/2008.04653 (2020) - [i13]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR abs/2008.13719 (2020) - [i12]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 abs/2010.04879 (2020)
2010 – 2019
- 2019
- [j42]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Conditional Image Synthesis With Semantic Layouts. IEEE Trans. Image Process. 28(6): 2898-2907 (2019) - [c96]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: 1-4 - [c95]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: 287-302 - [c94]Benqing Guo, Huifen Wang, Haifeng Liu:
A CMOS Low-noise Active Mixer with Capacitive Neutralization Technique. ICICDT 2019: 1-4 - [c93]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: 1729-1742 - [c92]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: 3215-3222 - [i11]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 abs/1908.07389 (2019) - [i10]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. CoRR abs/1909.00700 (2019) - [i9]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 abs/1911.03001 (2019) - [i8]Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu:
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR abs/1912.10178 (2019) - 2018
- [j41]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): 4 (2018) - [j40]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. Neurocomputing 290: 26-33 (2018) - [j39]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): 312-319 (2018) - [j38]Haifeng Liu, Jigen Peng:
Sparse signal recovery via alternating projection method. Signal Process. 143: 161-170 (2018) - [c91]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. AAAI 2018: 6773-6780 - [c90]Haifeng Liu, Bo Liu:
High-Sensitivity Fabry-Pérot Strain Senor Based on Fusion Splicing Photonic Crystal Fiber and Single Mode Fiber. CSNDSP 2018: 1-4 - [c89]Bo Yang, Huaping Xu, Shuo Li, Zening Song, Haifeng Liu:
Joint Distribution of Interferometric Phases for Multibaseline Insar. IGARSS 2018: 2176-2179 - [c88]Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyuan Ni, Ning Wang, Yuan Chen:
The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform. Middleware Industry 2018: 9-16 - [c87]Haifeng Liu, Shugang Chen, Yongcheng Bao, Wanli Yang, Yuan Chen, Wei Ding, Huasong Shan:
A High Performance, Scalable DNS Service for Very Large Scale Container Cloud Platforms. Middleware Industry 2018: 39-45 - [c86]Wenhu Yu, Zhiqiang Sun, Haifeng Liu, Zhipeng Li, Zhitong Zheng:
Multi-level Deep Learning based e-Commerce Product Categorization. eCOM@SIGIR 2018 - [i7]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. CoRR abs/1801.01315 (2018) - [i6]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 abs/1805.09023 (2018) - [i5]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 abs/1810.07692 (2018) - 2017
- [j37]Shaofeng Xie, Yueji Liang, Zhongtian Zheng, Haifeng Liu:
Combined Forecasting Method of Landslide Deformation Based on MEEMD, Approximate Entropy, and WLS-SVM. ISPRS Int. J. Geo Inf. 6(1): 5 (2017) - [j36]Peiyong Cong, Zhenhu Ning, Fei Xue, Haifeng Liu, Kechao Xu, Haibo Li:
Trusted connection architecture of Internet of Things oriented to perception layer. Int. J. Wirel. Mob. Comput. 12(3): 224-231 (2017) - [j35]Haifeng Liu, Feng Xia, Zhen Chen, Nana Yaw Asabere, Jianhua Ma, Runhe Huang:
TruCom: Exploiting Domain-Specific Trust Networks for Multicategory Item Recommendation. IEEE Syst. J. 11(1): 295-304 (2017) - [j34]Feng Xia, Nana Yaw Asabere, Haifeng Liu, Zhen Chen, Wei Wang:
Socially Aware Conference Participant Recommendation With Personality Traits. IEEE Syst. J. 11(4): 2255-2266 (2017) - [c85]Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang:
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. AAAI 2017: 2824-2830 - [c84]Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie:
Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. AMIA 2017 - [c83]Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang:
Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation. CRI 2017 - [c82]Shuaichuang Wang, Haifeng Liu:
Transport Properties of Liquid Aluminum at High Pressure from Quantum Molecular Dynamics Simulations. ICCSA (6) 2017: 787-795 - [c81]Haifeng Liu, Dong Liu, Xiaoyan Sun, Feng Wu, Wenjun Zeng:
On-line fall detection via a boosted cascade of hybrid features. ICME Workshops 2017: 249-254 - [c80]Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
What to Do Next: Modeling User Behaviors by Time-LSTM. IJCAI 2017: 3602-3608 - [c79]Yuan Lin, Haifeng Liu, Xiaoling Sun, Kun Ding, Luying Li:
Research of cross-discipline based on Web-of-Science Categories. ISSI 2017: 1394-1405 - [c78]Xiang Li, Haifeng Liu, Jingang Yang, Guotong Xie, Meilin Xu, Yuejin Yang:
Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients. MedInfo 2017: 476-480 - [c77]Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu:
Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation. MedInfo 2017: 491-495 - [c76]Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li:
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo 2017: 639-643 - [c75]Shijing Guo, Xiang Li, Xin Du, Haifeng Liu, Guotong Xie:
Group-Based Trajectory Analysis for Long-Term Use of Warfarin Therapy in Atrial Fibrillation Patients. MedInfo 2017: 1024-1028 - [c74]Eryu Xia, Haifeng Liu, Jing Li, Jing Mei, Xuejun Li, Enliang Xu, Xiang Li, Gang Hu, Guotong Xie, Meilin Xu:
Gathering Real World Evidence with Cluster Analysis for Clinical Decision Support. MedInfo 2017: 1185-1189 - [c73]Yiqin Yu, Xiang Li, Gang Hu, Haifeng Liu, Jing Mei, Yuan Ni, Guoyu Tang, Guotong Xie, Weiming Xu:
Personal Health Self-Management in a Data Perspective. MedInfo 2017: 1244 - [c72]Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu:
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo 2017: 1277 - [c71]Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai:
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. WWW 2017: 907-915 - [i4]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. CoRR abs/1705.08623 (2017) - [i3]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Realistic Image Synthesis. CoRR abs/1712.07329 (2017) - 2016
- [j33]Zhenzhen Xu, Fuli Zhang, Wei Wang, Haifeng Liu, Xiangjie Kong:
Exploiting Trust and Usage Context for Cross-Domain Recommendation. IEEE Access 4: 2398-2407 (2016) - [j32]Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu:
A-Optimal Non-negative Projection with Hessian regularization. Neurocomputing 174: 838-849 (2016) - [j31]Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai:
Atom Decomposition Based Subgradient Descent for matrix classification. Neurocomputing 205: 222-228 (2016) - [j30]Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He:
Heterogeneous hypergraph embedding for document recommendation. Neurocomputing 216: 150-162 (2016) - [j29]Yunhui Yi, Haifeng Liu, Zhenxian Zhu:
基于决策树的被动操作系统识别技术研究 (Research of Passive OS Recognition Based on Decision Tree). 计算机科学 43(8): 79-83 (2016) - [j28]Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao:
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. IEEE Trans. Big Data 2(2): 101-112 (2016) - [j27]Haifeng Liu, Zeshui Xu, Huchang Liao:
The Multiplicative Consistency Index of Hesitant Fuzzy Preference Relation. IEEE Trans. Fuzzy Syst. 24(1): 82-93 (2016) - [c70]Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie:
Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. AMIA 2016 - [c69]Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie:
Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. ICDM 2016: 659-668 - [c68]Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang:
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial Fibrillation Case Study. MIE 2016: 562-566 - [c67]Jing Mei, Wen Sun, Jing Li, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Building Evidence Graph for Clinical Decision Support. ISWC (Posters & Demos) 2016 - [c66]Hongliang Liang, Qian Zhao, Yuying Wang, Haifeng Liu:
Understanding and detecting performance and security bugs in IOT OSes. SNPD 2016: 413-418 - 2015
- [j26]Haifeng Liu, Xiangjie Kong, Xiaomei Bai, Wei Wang, Teshome Megersa Bekele, Feng Xia:
Context-Based Collaborative Filtering for Citation Recommendation. IEEE Access 3: 1695-1703 (2015) - [j25]Shan Yu, Zeshui Xu, Jiuping Xu, Haifeng Liu:
Indefinite integrals of generalized intuitionistic multiplicative functions. Fuzzy Optim. Decis. Mak. 14(4): 459-476 (2015) - [j24]Haifeng Liu, Zhuo Yang, Jun Zhang, Xiaomei Bai, Wei Wang, Feng Xia:
Mining Implicit Correlations between Users with the Same Role for Trust-Aware Recommendation. KSII Trans. Internet Inf. Syst. 9(12): 4892-4911 (2015) - [j23]Zhan Su, Zeshui Xu, Haifeng Liu, Shousheng Liu:
Distance and similarity measures for dual hesitant fuzzy sets and their applications in pattern recognition. J. Intell. Fuzzy Syst. 29(2): 731-745 (2015) - [j22]Yiyong Lan, Haifeng Liu, Yuanyuan Yang:
少数民族语言文字网站的自动识别和采集 (Minority Language Websites' Automatic Identification and Collection). 计算机科学 42(Z6): 79-82 (2015) - [j21]Feng Xia, Ching-Hsien Hsu, Xiaojing Liu, Haifeng Liu, Fangwei Ding, Wei Zhang:
The power of smartphones. Multim. Syst. 21(1): 87-101 (2015) - [j20]Haifeng Liu, Xiaomei Bai, Zhuo Yang, Amr Tolba, Feng Xia:
Trust-aware recommendation for improving aggregate diversity. New Rev. Hypermedia Multim. 21(3-4): 242-258 (2015) - [j19]Nana Yaw Asabere, Feng Xia, Qinxue Meng, Fengqi Li, Haifeng Liu:
Scholarly paper recommendation based on social awareness and folksonomy. Int. J. Parallel Emergent Distributed Syst. 30(3): 211-232 (2015) - [j18]Haifeng Liu, Xiaoyan Sun, Lu Fang, Feng Wu:
Deblurring Saturated Night Image With Function-Form Kernel. IEEE Trans. Image Process. 24(11): 4637-4650 (2015) - [c65]Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin:
Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. BPM 2015: 226-241 - [c64]Jing Mei, Haifeng Liu, Xiang Li, Guo Tong Xie, Yiqin Yu:
A Decision Fusion Framework for Treatment Recommendation Systems. MedInfo 2015: 300-304 - [c63]Xiang Li, Haifeng Liu, Jing Mei, Yiqin Yu, Guo Tong Xie:
Mining Temporal and Data Constraints Associated with Outcomes for Care Pathways. MedInfo 2015: 711-715 - [c62]Haifeng Liu, Xiang Li, Yiqin Yu, Jing Mei, Guo Tong Xie, Adam Perer, Fei Wang, Jianying Hu:
Synthesizing Analytic Evidence to Refine Care Pathways. MIE 2015: 70-74 - [c61]Jing Mei, Haifeng Liu, Xiang Li, Yiqin Yu, Guotong Xie:
Outcome-driven Evaluation Metrics for Treatment Recommendation Systems. MIE 2015: 190-194 - [c60]Xiang Li, Jing Mei, Haifeng Liu, Yiqin Yu, Guotong Xie, Jianying Hu, Fei Wang:
Analysis of Care Pathway Variation Patterns in Patient Records. MIE 2015: 692-696 - [c59]Haifeng Liu, Zhuo Yang, Ivan Lee, Zhenzhen Xu, Shuo Yu, Feng Xia:
CAR: Incorporating Filtered Citation Relations for Scientific Article Recommendation. SmartCity 2015: 513-518 - [c58]Zhen Chen, Feng Xia, Huizhen Jiang, Haifeng Liu, Jun Zhang:
AVER: Random Walk Based Academic Venue Recommendation. WWW (Companion Volume) 2015: 579-584 - 2014
- [j17]