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ORCIDTing Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ting Chen 0001
![[0000-0001-8414-6346]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8414-6346")
— NYU Langone Health, Department of Radiation Oncology, NY, USA (and 3 more) - Ting Chen 0002 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- Ting Chen 0003 — Chang'an University, School of Information Engineering, Xi'an, China (and 2 more)
- Ting Chen 0004 — Vrije Universiteit Brussels, Department Electronics and Informatics, AVSP Lab, Belgium (and 1 more)
- Ting Chen 0005 — Autonomous University of Barcelona, Department of Mathematics, Spain (and 1 more)
- Ting Chen 0006 — Tsinghua University, Beijing, China (and 2 more)
- Ting Chen 0007 — Google Brain (and 2 more)
- Ting Chen 0008 (aka: Ting Brendan Chen) — University of Western Brittany, Brest, France
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2020 – today
- 2023
[j121]Ting Chen, Yaoqing Duan, Farhan Ahmad, Yuming Liu:
Detecting Novelty Seeking From Online Travel Reviews: A Deep Learning Approach. IEEE Access 11: 43869-43881 (2023)- [j120]Xi Zhang, Yanan Zhang, Tao Gao, Yong Fang, Ting Chen:
A Novel SSD-Based Detection Algorithm Suitable for Small Object. IEICE Trans. Inf. Syst. 106(5): 625-634 (2023) - [j119]Chiun-Li Chin, Chieh-Yu Li, Yan-Ming Lai, Ting Chen, Tzu-Yu Sun, Jun-Cheng Lin:
CWD2GAN: Generative Adversarial Network of Chronic Wound Depth Detection for Predicting Chronic Wound Depth. Int. J. Pattern Recognit. Artif. Intell. 37(3): 2351004:1-2351004:19 (2023) - [j118]Linghao Kong, Ting Chen, Taibo Kang, Qing Chen, Di Zhang:
An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 278-290 (2023) - [j117]Xi Zhang, Yongxiong Liu, Ting Chen, Tao Gao:
Noise-insensitive image representation via multiple extended LDB and class supervised intelligent coordination feature selection. J. Supercomput. 79(3): 3227-3256 (2023) - [c133]Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. AAMAS 2023: 2634-2636 - [c132]Naiyu Zheng, Ting Chen, Chuchu Dong, Yubo Yang, Yuanzhe Li, Yunxin Liu, Yuanchun Li:
Environment-aware Testing for DNN-based Smart-home WiFi Sensing Systems. SANER 2023: 763-767 - [i40]Dan Lin, Jiajing Wu, Qishuang Fu, Zibin Zheng, Ting Chen:
RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation. CoRR abs/2301.00354 (2023) - [i39]Ting Chen:
On the Importance of Noise Scheduling for Diffusion Models. CoRR abs/2301.10972 (2023) - [i38]Tao Gao, Yuanbo Wen, Kaihao Zhang, Peng Cheng, Ting Chen:
Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal. CoRR abs/2304.02860 (2023) - [i37]Ting Chen, Zihao Li, Xiapu Luo, Xiaofeng Wang, Ting Wang, Zheyuan He, Kezhao Fang, Yufei Zhang, Hang Zhu, Hongwei Li, Yan Cheng, Xiaosong Zhang:
SigRec: Automatic Recovery of Function Signatures in Smart Contracts. CoRR abs/2305.07067 (2023) - 2022
- [j116]Ling He, Xinzheng Niu, Ting Chen, Kejin Mei, Mao Li:
Spatio-temporal trajectory anomaly detection based on common sub-sequence. Appl. Intell. 52(7): 7599-7621 (2022) - [j115]Xuan Zhang, Hui Wu, Ting Chen, Guangyu Wang:
Automatic diagnosis of arrhythmia with electrocardiogram using multiple instance learning: From rhythm annotation to heartbeat prediction. Artif. Intell. Medicine 132: 102379 (2022) - [j114]Ting Chen, Qingfeng Cheng, Xinghua Li:
An anonymous key agreement protocol with robust authentication for smart grid infrastructure. Sci. China Inf. Sci. 65(9): 1-3 (2022) - [j113]Lanlan Ni, Lanzheng Bian, Rugang Lu, Ting Chen, Jinyue Xia:
Early Rehabilitation of Orthopedic Internal Fixation Removal in Daytime Ward. Comput. Syst. Sci. Eng. 43(1): 219-231 (2022) - [j112]Penghui Wang, Ting Chen, Jun Ding, Mian Pan, Sanding Tang:
Intelligent radar HRRP target recognition based on CNN-BERT model. EURASIP J. Adv. Signal Process. 2022(1): 89 (2022) - [j111]Longfei Jia, Yuping Huang, Ting Chen, Yaxing Guo, Yecheng Yin, Jing Chen:
MDA + RRT: A general approach for resolving the problem of angle constraint for hyper-redundant manipulator. Expert Syst. Appl. 193: 116379 (2022) - [j110]Qingfeng Cheng, Ting Chen, Siqi Ma, Xinghua Li:
Improvement on a batch authenticated key agreement scheme. Frontiers Comput. Sci. 16(2): 162803 (2022) - [j109]Xinghua Li, Ting Chen, Qingfeng Cheng, Jian-Feng Ma:
An efficient and authenticated key establishment scheme based on fog computing for healthcare system. Frontiers Comput. Sci. 16(4): 164815 (2022) - [j108]Wenhao Shu, Zhenchao Yan, Ting Chen, Jianhui Yu, Wenbin Qian:
Information granularity-based incremental feature selection for partially labeled hybrid data. Intell. Data Anal. 26(1): 33-56 (2022) - [j107]Sizhe Lin, Ting Chen, Xiaohong Huang, Siyu Chen:
Synthetic aperture radar image aircraft detection based on target spatial imaging characteristics. J. Electronic Imaging 32(2) (2022) - [j106]Dong Liang, Qinrang Liu, Binghao Yan, Ting Chen, Xingyu Liu:
Efficient loop detection and congestion-free network update for SDN. Peer-to-Peer Netw. Appl. 15(4): 2057-2078 (2022) - [j105]Zhihao Wei, Kebin Jia, Xiaowei Jia, Pengyu Liu, Ying Ma, Ting Chen, Guilian Feng:
Mapping Large-Scale Plateau Forest in Sanjiangyuan Using High-Resolution Satellite Imagery and Few-Shot Learning. Remote. Sens. 14(2): 388 (2022) - [j104]Haifeng Tian, Ting Chen, Qiangzi Li, Qiuyi Mei, Shuai Wang, Mengdan Yang, Yongjiu Wang, Yaochen Qin:
A Novel Spectral Index for Automatic Canola Mapping by Using Sentinel-2 Imagery. Remote. Sens. 14(5): 1113 (2022) - [j103]Ting Chen, Wenchang Sun:
Linear Phaseless Retrieval of Functions in Spline Spaces With Arbitrary Knots. IEEE Trans. Inf. Theory 68(2): 1385-1396 (2022) - [j102]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Decoder Denoising Pretraining for Semantic Segmentation. Trans. Mach. Learn. Res. 2022 (2022) - [c131]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister:
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. AAAI 2022: 3417-3425 - [c130]Shiyu Huang, Chao Yu, Bin Wang, Dong Li, Yu Wang, Ting Chen, Jun Zhu:
VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators. CoG 2022: 9-16 - [c129]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Denoising Pretraining for Semantic Segmentation. CVPR Workshops 2022: 4174-4185 - [c128]Chunxi Zhang, Shuyan Zhang, Ting Chen, Rong Zhang, Kai Liu:
An Optimized Transaction Processing Scheme for Highly Contented E-commerce Workloads Optimized Scheme for Contended Workloads. HPCC/DSS/SmartCity/DependSys 2022: 1202-1207 - [c127]Chiun-Li Chin, Tzu-Yu Sun, Jun-Cheng Lin, Chieh-Yu Li, Yan-Ming Lai, Ting Chen:
Based on CWGAN Deep Learning Architecture to Predict Chronic Wound Depth Image. ICCE-TW 2022: 275-276 - [c126]Luyi Qu, Yuming Li, Rong Zhang, Ting Chen, Ke Shu, Weining Qian, Aoying Zhou:
Application-Oriented Workload Generation for Transactional Database Performance Evaluation. ICDE 2022: 420-432 - [c125]Rong Han, Xiaohong Liu, Ting Chen:
Yolo-SG: Salience-Guided Detection Of Small Objects In Medical Images. ICIP 2022: 4218-4222 - [c124]Chenfeng Miao, Ting Chen, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
A compact transformer-based GAN vocoder. INTERSPEECH 2022: 1636-1640 - [c123]Zimo Li, Aihua Li, Ting Chen, Jianbing Liu, Tiancheng Gao:
Research on health management and risk warning based on sensor data. ITQM 2022: 329-336 - [c122]Weijie He, Ting Chen:
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. KDD 2022: 4695-4703 - [c121]Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang:
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation. NeurIPS 2022 - [c120]Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen:
BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. WWW 2022: 2511-2521 - [i36]Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan:
Robust and Efficient Medical Imaging with Self-Supervision. CoRR abs/2205.09723 (2022) - [i35]Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi:
Decoder Denoising Pretraining for Semantic Segmentation. CoRR abs/2205.11423 (2022) - [i34]Weijie He, Ting Chen:
Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning. CoRR abs/2206.03659 (2022) - [i33]Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen, Jun Zhu:
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization. CoRR abs/2207.05631 (2022) - [i32]Wenkai Li, Cheng Feng, Ting Chen, Jun Zhu:
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data. CoRR abs/2208.01841 (2022) - [i31]Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR abs/2208.04202 (2022) - [i30]Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, Ting Chen:
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection. CoRR abs/2211.11317 (2022) - [i29]Xuanyu Shi, Shiyao Xie, Wenjia Wang, Ting Chen, Jian Du:
An automated approach to extracting positive and negative clinical research results. CoRR abs/2212.03464 (2022) - [i28]Allan Jabri, David J. Fleet, Ting Chen:
Scalable Adaptive Computation for Iterative Generation. CoRR abs/2212.11972 (2022) - 2021
- [j101]Ting Chen, Xinghua Li, Qingfeng Cheng:
An enhanced key exchange protocol exhibiting key compromise impersonation attacks resistance in mobile commerce environment. Sci. China Inf. Sci. 64(9) (2021) - [j100]Chuanshuang Hu, Yongmei Ma, Ting Chen:
Application on Online Process Learning Evaluation Based on Optimal Discrete Hopfield Neural Network and Entropy Weight TOPSIS Method. Complex. 2021: 2857244:1-2857244:9 (2021) - [j99]Ting Chen, Feng Yang, Xiaolong Guo:
Optimal bundling in a distribution channel in the presence of substitutability and complementarity. Int. J. Prod. Res. 59(4): 1145-1165 (2021) - [j98]Xinghua Li, Ting Chen, Qingfeng Cheng, Siqi Ma, Jianfeng Ma:
Smart Applications in Edge Computing: Overview on Authentication and Data Security. IEEE Internet Things J. 8(6): 4063-4080 (2021) - [j97]Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen:
Improving domain adaptation in de-identification of electronic health records through self-training. J. Am. Medical Informatics Assoc. 28(10): 2093-2100 (2021) - [j96]Ting Chen, Guopeng Li, Qiping Deng, Xiaomei Wang:
Using Network Embedding to Obtain a Richer and More Stable Network Layout for a Large Scale Bibliometric Network. J. Data Inf. Sci. 6(1): 154-177 (2021) - [j95]Jiandun Li, Dingyu Yang, Ting Chen, Tao Li, Peng Jiang, Xichuan Zheng, Fusong Jiang:
Nine Markers to Predict Nonalcoholic Fatty Liver Disease for a Chinese Diabetic Population. J. Medical Imaging Health Informatics 11(3): 730-735 (2021) - [j94]Ting Chen:
Smart campus and innovative education based on wireless sensor. Microprocess. Microsystems 81: 103678 (2021) - [j93]Haifeng Tian, Yongjiu Wang, Ting Chen, Lijun Zhang, Yaochen Qin:
Early-Season Mapping of Winter Crops Using Sentinel-2 Optical Imagery. Remote. Sens. 13(19): 3822 (2021) - [j92]Huichao Yan, Ting Chen, Peng Wang, Linmei Zhang, Rong Cheng, Yanping Bai:
A Direction-of-Arrival Estimation Algorithm Based on Compressed Sensing and Density-Based Spatial Clustering and Its Application in Signal Processing of MEMS Vector Hydrophone. Sensors 21(6): 2191 (2021) - [j91]Xiao Xiao, Yilong Lu, Xiaoman Huang, Ting Chen:
Temporal Series Crop Classification Study in Rural China Based on Sentinel-1 SAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2769-2780 (2021) - [c119]Nikolay Ivanov, Jianzhi Lou, Ting Chen, Jin Li, Qiben Yan:
Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts. AsiaCCS 2021: 787-801 - [c118]Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger:
Self-supervised Learning for Large-scale Item Recommendations. CIKM 2021: 4321-4330 - [c117]Wanli Chang, Shuai Zhao, Simon Burton, Haitong Wang, Ting Chen, Nan Chen, Neil C. Audsley:
Invited: Hardware/Software Co-Synthesis and Co-Optimization for Autonomous Systems. DAC 2021: 1319-1322 - [c116]Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge:
MURAL: Multimodal, Multitask Representations Across Languages. EMNLP (Findings) 2021: 3449-3463 - [c115]Yang Bai, Degang Chen, Ting Chen, Mingyu Fan:
GANMIA: GAN-based Black-box Membership Inference Attack. ICC 2021: 1-6 - [c114]Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi:
Big Self-Supervised Models Advance Medical Image Classification. ICCV 2021: 3458-3468 - [c113]Ke Wang, Guangyu Wang, Kang Zhang, Ting Chen:
An Adversarial Collaborative-Learning Approach for Corneal Scar Segmentation with Ocular Anterior Segment Photography. ICIP 2021: 1-5 - [c112]Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR 2021 - [c111]Wenping Liu, Ting Chen, Shengsheng Lai, Gangping Zhang, Guangjian Liu, Haoyu Jin:
Identifying the Key Residues Regulating the Binding between Antibody Avelumab and PD-L1 VIA Molecular Dynamics Simulation. ICMLC 2021: 557-561 - [c110]Longfei Jia, Ting Chen, Yaxing Guo, Jing Chen, Yunfei Tao, Yuping Huang:
Segmented Inverse Kinematics and Trajectory Planning of Quasi-continuous Manipulator. ISCSIC 2021: 318-323 - [c109]Ting Chen, Fenfen Li, Jinbao Lin:
Fast Division Algorithm for Finite Real Number. ISKE 2021: 147-151 - [c108]Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi:
Learning to Embed Categorical Features without Embedding Tables for Recommendation. KDD 2021: 840-850 - [c107]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS 2021: 5997-6009 - [c106]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. NeurIPS 2021: 18367-18380 - [c105]Simon Kornblith, Ting Chen, Honglak Lee, Mohammad Norouzi:
Why Do Better Loss Functions Lead to Less Transferable Features? NeurIPS 2021: 28648-28662 - [i27]Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi:
Big Self-Supervised Models Advance Medical Image Classification. CoRR abs/2101.05224 (2021) - [i26]Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR abs/2104.06697 (2021) - [i25]Nikolay Ivanov, Jianzhi Lou, Ting Chen, Jin Li, Qiben Yan:
Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts. CoRR abs/2105.00132 (2021) - [i24]Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Tomas Pfister:
Aggregating Nested Transformers. CoRR abs/2105.12723 (2021) - [i23]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. CoRR abs/2106.07631 (2021) - [i22]Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge:
MURAL: Multimodal, Multitask Retrieval Across Languages. CoRR abs/2109.05125 (2021) - [i21]Shiyu Huang, Wenze Chen, Longfei Zhang, Ziyang Li, Fengming Zhu, Deheng Ye, Ting Chen, Jun Zhu:
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations. CoRR abs/2110.04507 (2021) - [i20]Yao Qin, Chiyuan Zhang, Ting Chen, Balaji Lakshminarayanan, Alex Beutel, Xuezhi Wang:
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation. CoRR abs/2110.07858 (2021) - [i19]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR abs/2111.01004 (2021) - [i18]Shiqi Liu, Lu Wang, Jie Lian, Ting Chen, Cong Liu, Xuchen Zhan, Jintao Lu, Jie Liu, Ting Wang, Dong Geng, Hongwei Duan, Yuze Tian:
Auto robust relative radiometric normalization via latent change noise modelling. CoRR abs/2111.12406 (2021) - 2020
- [j90]Nong Yan, Chang Wang, Yi Tao, Jinming Li, Kexu Zhang, Ting Chen, Ziwen Yuan, Xiangguo Yan, Gang Wang:
Quadcopter Control System Using a Hybrid BCI Based on Off-Line Optimization and Enhanced Human-Machine Interaction. IEEE Access 8: 1160-1172 (2020) - [j89]Shicheng Yu, Ting Chen, Guangmin Hu:
Confidence-Constrained Support Vector Regression for Geological Surface Uncertainty Modeling. IEEE Access 8: 182451-182461 (2020) - [j88]Yong Deng, Ting Chen, Di Zhang:
Diagnosis of Incipient Faults in Nonlinear Analog Circuits Based on High Order Moment Fractional Transform. J. Electron. Test. 36(4): 485-498 (2020) - [j87]Ting Chen, Yi-Ting Wang, Jian-qiang Wang, Lin Li, Peng-Fei Cheng:
Multistage Decision Framework for the Selection of Renewable Energy Sources Based on Prospect Theory and PROMETHEE. Int. J. Fuzzy Syst. 22(5): 1535-1551 (2020) - [j86]Ting Chen, Haiqing He, Dajun Li, Puyang An, Zhenyang Hui:
Damage Signature Generation of Revetment Surface along Urban Rivers Using UAV-Based Mapping. ISPRS Int. J. Geo Inf. 9(4): 283 (2020) - [j85]Ting Chen, Feng Yang, Xiaolong Guo:
Retailer-driven bundling when valuation discount exists. J. Oper. Res. Soc. 71(12): 2027-2041 (2020) - [j84]Zhongqiu He, Ting Chen, Mingce Wang, Yanchong Li:
Multi-Segment Rupture Model of the 2016 Kumamoto Earthquake Revealed by InSAR and GPS Data. Remote. Sens. 12(22): 3721 (2020) - [j83]Ting Chen, Jun Xia, Lei Zou, Si Hong:
Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China. Remote. Sens. 12(22): 3780 (2020) - [j82]Qiujie Wang, Tao Jin, Mohamed A. Mohamed, Ting Chen:
A Minimum Hitting Set Algorithm With Prejudging Mechanism for Model-Based Fault Diagnosis in Distribution Networks. IEEE Trans. Instrum. Meas. 69(7): 4702-4711 (2020) - [j81]Xinzheng Niu, Ting Chen, Chase Q. Wu, Jiajun Niu, Yuran Li:
Label-Based Trajectory Clustering in Complex Road Networks. IEEE Trans. Intell. Transp. Syst. 21(10): 4098-4110 (2020) - [c104]Xuan Zhang, Ting Chen:
Attention U-net for Interpretable Classification on Chest X-ray Image. BIBM 2020: 901-908 - [c103]Jiemao Pan, Xiang Chen, Ting Chen, Bin Tang, Junbiao Yang, Yuhong Chen, Yixiong Lin, Chao Xiao, Jian Meng:
Visual Compiler: Towards Translating Digital UI Design Draft to Front-End Code Automatically. HCI (5) 2020: 385-394 - [c102]Feng Wang, Ting Chen:
Constructing a 3D Virtual World for Traditional Culture Education. ICEIT 2020: 149-152 - [c101]Jinlong Liu, Yunzhi Bai, Guoqing Jiang, Ting Chen, Huayan Wang:
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters. ICLR 2020 - [c100]Wenping Liu, Ting Chen, Haoyu Jin:
Selection Range of the Control Weighting Parameter for a Closed-loop Artificial Pancreas Based on Generalized Predictive Control. ICMHI 2020: 65-70 - [c99]Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton:
A Simple Framework for Contrastive Learning of Visual Representations. ICML 2020: 1597-1607 - [c98]Ke Wang, Xuyan Chen, Ning Chen, Ting Chen:
Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding. IJCAI 2020: 3407-3414 - [c97]Ke Wang, Ning Chen, Ting Chen:
Joint Medical Ontology Representation Learning for Healthcare Predictions. IJCNN 2020: 1-7 - [c96]Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton:
Big Self-Supervised Models are Strong Semi-Supervised Learners. NeurIPS 2020 - [c95]Katherine L. Hermann, Ting Chen, Simon Kornblith:
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks. NeurIPS 2020 - [c94]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS 2020 - [c93]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. NeurIPS 2020 - [c92]Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi:
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. WWW (Companion Volume) 2020: 562-566 - [i17]Jinlong Liu, Guoqing Jiang, Yunzhi Bai, Ting Chen, Huayan Wang:
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters. CoRR abs/2001.07384 (2020) - [i16]Ting Chen, Simon Kornblith, Mohammad Norouzi, Geoffrey E. Hinton:
A Simple Framework for Contrastive Learning of Visual Representations. CoRR abs/2002.05709 (2020) - [i15]Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H. Chi:
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems. CoRR abs/2002.08530 (2020) - [i14]Zhengli Zhao, Zizhao Zhang, Ting Chen, Sameer Singh, Han Zhang:
Image Augmentations for GAN Training. CoRR abs/2006.02595 (2020) - [i13]Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey E. Hinton:
Big Self-Supervised Models are Strong Semi-Supervised Learners. CoRR abs/2006.10029 (2020) - [i12]Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi:
Deep Hash Embedding for Large-Vocab Categorical Feature Representations. CoRR abs/2010.10784 (2020) - [i11]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. CoRR abs/2010.13337 (2020) - [i10]Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen:
Graph Contrastive Learning with Augmentations. CoRR abs/2010.13902 (2020) - [i9]Simon Kornblith, Honglak Lee, Ting Chen, Mohammad Norouzi:
What's in a Loss Function for Image Classification? CoRR abs/2010.16402 (2020) - [i8]Weijie He, Xiaohao Mao, Chao Ma, José Miguel Hernández-Lobato, Ting Chen:
FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks. CoRR abs/2012.01065 (2020)
2010 – 2019
- 2019
- [j80]