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2020 – today
- 2024
[j32]Xuechen Li, Xiuhua Li, Muqing Zhang, Qinghan Dong, Guiying Zhang, Zeping Wang, Peng Wei:
SugarcaneGAN: A novel dataset generating approach for sugarcane leaf diseases based on lightweight hybrid CNN-Transformer network. Comput. Electron. Agric. 219: 108762 (2024)- [j31]Xinquan Yang
, Xuguang Li, Xuechen Li, Wenting Chen, Linlin Shen, Xin Li, Yongqiang Deng:
Two-stream regression network for dental implant position prediction. Expert Syst. Appl. 235: 121135 (2024) - [j30]Leilei Zeng, Xuechen Li, Xinquan Yang, Wenting Chen, Jingxin Liu, Linlin Shen, Song Wu:
SCPMan: Shape context and prior constrained multi-scale attention network for pancreatic segmentation. Expert Syst. Appl. 252: 124070 (2024) - [j29]Xinquan Yang, Xuguang Li, Xuechen Li, Peixi Wu, Linlin Shen, Yongqiang Deng:
ImplantFormer: vision transformer-based implant position regression using dental CBCT data. Neural Comput. Appl. 36(12): 6643-6658 (2024) - [c33]Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto:
Linguistic Calibration of Long-Form Generations. ICML 2024 - [c32]Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. SP (Workshops) 2024: 132-143 - [i32]Neil Band, Xuechen Li, Tengyu Ma, Tatsunori Hashimoto:
Linguistic Calibration of Language Models. CoRR abs/2404.00474 (2024) - [i31]Ahmed M. Ahmed, Rafael Rafailov, Stepan Sharkov, Xuechen Li, Sanmi Koyejo:
Scalable Ensembling For Mitigating Reward Overoptimisation. CoRR abs/2406.01013 (2024) - [i30]Zijian Cai, Xinquan Yang, Xuguang Li, Xiaoling Luo, Xuechen Li, Linlin Shen, He Meng, Yongqiang Deng:
SSAD: Self-supervised Auxiliary Detection Framework for Panoramic X-ray based Dental Disease Diagnosis. CoRR abs/2406.13963 (2024) - 2023
- [j28]Xuechen Li, Xiuhua Li, Shimin Zhang, Guiying Zhang, Muqing Zhang, Heyang Shang:
SLViT: Shuffle-convolution-based lightweight Vision transformer for effective diagnosis of sugarcane leaf diseases. J. King Saud Univ. Comput. Inf. Sci. 35(6): 101401 (2023) - [j27]Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang:
Foundation Models and Fair Use. J. Mach. Learn. Res. 24: 400:1-400:79 (2023) - [j26]Yating Huang, Xuechen Li, Siting Zheng, Zhongliang Li, Sihan Li, Linlin Shen, Changen Zhou, Zhihui Lai:
Tongue size and shape classification fusing segmentation features for traditional Chinese medicine diagnosis. Neural Comput. Appl. 35(10): 7581-7594 (2023) - [j25]Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen:
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural Comput. Appl. 35(15): 10717-10731 (2023) - [j24]Pan Wang, Xuechen Li, Jianquan Lu, Jungang Lou:
Fixed-Time Synchronization of Stochastic Complex-Valued Fuzzy Neural Networks with Memristor and Proportional Delays. Neural Process. Lett. 55(6): 8465-8481 (2023) - [j23]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c31]Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim:
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. ACL (1) 2023: 1321-1342 - [c30]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. BIBM 2023: 726-732 - [c29]Dan Li, Xuechen Li, Zhibin Peng, Wenting Chen, Linlin Shen, Guangyao Wu:
Multi-scale Contrastive Learning for Gastroenteroscopy Classification. CBMS 2023: 852-858 - [c28]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. ICLR 2023 - [c27]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. MICCAI (6) 2023: 317-326 - [c26]Yudi Zhang, Wenting Chen, Xuechen Li, Linlin Shen, Zhihui Lai, Heng Kong:
Adversarial Keyword Extraction and Semantic-Spatial Feature Aggregation for Clinical Report Guided Thyroid Nodule Segmentation. PRCV (13) 2023: 235-247 - [i29]Daniel Kang, Xuechen Li, Ion Stoica, Carlos Guestrin, Matei Zaharia, Tatsunori Hashimoto:
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. CoRR abs/2302.05733 (2023) - [i28]Peter Henderson, Xuechen Li, Dan Jurafsky, Tatsunori Hashimoto, Mark A. Lemley, Percy Liang:
Foundation Models and Fair Use. CoRR abs/2303.15715 (2023) - [i27]Xinquan Yang, Xuguang Li, Xuechen Li, Wenting Chen, Linlin Shen, Xin Li, Yongqiang Deng:
Two-Stream Regression Network for Dental Implant Position Prediction. CoRR abs/2305.10044 (2023) - [i26]Yann Dubois, Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy Liang, Tatsunori B. Hashimoto:
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback. CoRR abs/2305.14387 (2023) - [i25]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. CoRR abs/2306.14406 (2023) - [i24]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. CoRR abs/2308.05355 (2023) - [i23]Leilei Zeng, Xuechen Li, Xinquan Yang, Linlin Shen, Song Wu:
SCPMan: Shape Context and Prior Constrained Multi-scale Attention Network for Pancreatic Segmentation. CoRR abs/2312.15859 (2023) - 2022
- [j22]Pan Wang, Xuechen Li, Nan Wang, Yuanyuan Li, Kaibo Shi, Jianquan Lu:
Almost periodic synchronization of quaternion-valued fuzzy cellular neural networks with leakage delays. Fuzzy Sets Syst. 426: 46-65 (2022) - [j21]Pan Wang, Xuechen Li, Tianwei Zhang:
Exponential Synchronization of Inertial Complex-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays via Periodically Intermittent Control. Int. J. Comput. Intell. Syst. 15(1): 52 (2022) - [j20]Zhihao Jin, Xuechen Li, Yudi Zhang, LinLin Shen, Zhihui Lai, Heng Kong:
Boundary regression-based reep neural network for thyroid nodule segmentation in ultrasound images. Neural Comput. Appl. 34(24): 22357-22366 (2022) - [j19]Chen Wang, Yinlong Liu, Yiru Wang, Xuechen Li, Manning Wang:
Efficient and Outlier-Robust Simultaneous Pose and Correspondence Determination by Branch-and-Bound and Transformation Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6924-6938 (2022) - [j18]Xuechen Li, Yuhang Luo, Jiansheng Wu:
Decoupling Relationship between Urbanization and Carbon Sequestration in the Pearl River Delta from 2000 to 2020. Remote. Sens. 14(3): 526 (2022) - [c25]Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud:
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. AISTATS 2022: 721-738 - [c24]Siting Zheng, Xuechen Li, Mingmin Bi, Yuxuan Wang, Haiyan Liu, Xiaoshan Feng, Yunping Fan, Linlin Shen:
Contrastive learning-based Adenoid Hypertrophy Grading Network Using Nasoendoscopic Image. CBMS 2022: 377-382 - [c23]Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto:
Large Language Models Can Be Strong Differentially Private Learners. ICLR 2022 - [c22]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample Hardness Based Gradient Loss for Long-Tailed Cervical Cell Detection. MICCAI (2) 2022: 109-119 - [c21]Xuechen Li, Daogao Liu, Tatsunori B. Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta:
When Does Differentially Private Learning Not Suffer in High Dimensions? NeurIPS 2022 - [i22]Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta:
When Does Differentially Private Learning Not Suffer in High Dimensions? CoRR abs/2207.00160 (2022) - [i21]Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample hardness based gradient loss for long-tailed cervical cell detection. CoRR abs/2208.03779 (2022) - [i20]Hanlin Zhang, Xuechen Li, Prithviraj Sen, Salim Roukos, Tatsunori Hashimoto:
A Closer Look at the Calibration of Differentially Private Learners. CoRR abs/2210.08248 (2022) - [i19]Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim:
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. CoRR abs/2210.14348 (2022) - [i18]Xinquan Yang, Xuguang Li, Xuechen Li, Peixi Wu, Linlin Shen, Xin Li, Yongqiang Deng:
ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data. CoRR abs/2210.16467 (2022) - [i17]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i16]Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian:
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping. CoRR abs/2212.01539 (2022) - 2021
- [j17]Jiaqi Bao, Zhihui Lai, Xuechen Li:
Relaxed local preserving regression for image feature extraction. Multim. Tools Appl. 80(3): 3729-3748 (2021) - [j16]Baojun Miao, Xuechen Li, Jungang Lou, Jianquan Lu:
Pinning bipartite synchronization for coupled reaction-diffusion neural networks with antagonistic interactions and switching topologies. Neural Networks 141: 174-183 (2021) - [j15]Yiru Wang, Yinlong Liu, Xuechen Li, Chen Wang, Manning Wang, Zhijian Song:
Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic. Pattern Recognit. 115: 107897 (2021) - [j14]Ning Liu, Zhihui Lai, Xuechen Li, Yudong Chen, Dongmei Mo, Heng Kong, Linlin Shen:
Locality Preserving Robust Regression for Jointly Sparse Subspace Learning. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2274-2287 (2021) - [c20]Yuxuan Wang, Xuechen Li, Jingxin Liu, Linlin Shen, Kunming Sun, Suying Wang:
A Contrastive Learning-based PPC-UNet for Colorectal Histopathology Whole Slide Image Segmentation. BIBM 2021: 2072-2079 - [c19]Menglu Zhang, Xuechen Li, Linlin Shen:
Classification and Localization Consistency Regularized Student-Teacher Network for Semi-supervised Cervical Cell Detection. CBMS 2021: 289-294 - [c18]Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu:
When does preconditioning help or hurt generalization? ICLR 2021 - [c17]Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons:
Neural SDEs as Infinite-Dimensional GANs. ICML 2021: 5453-5463 - [c16]Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons:
Efficient and Accurate Gradients for Neural SDEs. NeurIPS 2021: 18747-18761 - [i15]Patrick Kidger, James Foster, Xuechen Li, Harald Oberhauser, Terry J. Lyons:
Neural SDEs as Infinite-Dimensional GANs. CoRR abs/2102.03657 (2021) - [i14]Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud:
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. CoRR abs/2102.06559 (2021) - [i13]Patrick Kidger, James Foster, Xuechen Li, Terry J. Lyons:
Efficient and Accurate Gradients for Neural SDEs. CoRR abs/2105.13493 (2021) - [i12]Xuechen Li, Chris J. Maddison, Daniel Tarlow:
Learning to Extend Program Graphs to Work-in-Progress Code. CoRR abs/2105.14038 (2021) - [i11]Zhongliang Li, Zhihao Jin, Xuechen Li, Linlin Shen:
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis. CoRR abs/2106.12313 (2021) - [i10]Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto:
Large Language Models Can Be Strong Differentially Private Learners. CoRR abs/2110.05679 (2021) - 2020
- [j13]Xuechen Li, Linlin Shen, Xinpeng Xie, Shiyun Huang, Zhien Xie, Xian Hong, Juan Yu:
Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection. Artif. Intell. Medicine 103: 101744 (2020) - [j12]Kefa Zou, Xuechen Li, Nan Wang, Jungang Lou, Jianquan Lu:
Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses. Complex. 2020: 8712027:1-8712027:9 (2020) - [j11]Xuechen Li, Nan Wang, Jungang Lou, Jianquan Lu:
Global μ-synchronization of impulsive pantograph neural networks. Neural Networks 131: 78-92 (2020) - [j10]Nan Wang, Xuechen Li, Jianquan Lu:
Impulsive-Interaction-Driven Synchronization in an Array of Coupled Neural Networks. Neural Process. Lett. 51(3): 2685-2700 (2020) - [j9]Yiru Wang, Yinlong Liu, Xuechen Li, Chen Wang, Manning Wang, Zhijian Song:
GORFLM: Globally Optimal Robust Fitting for Linear Model. Signal Process. Image Commun. 84: 115834 (2020) - [c15]Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud:
Scalable Gradients for Stochastic Differential Equations. AISTATS 2020: 3870-3882 - [c14]Zhihao Jin, Xuechen Li, Linlin Shen, Jinyi Lang, Jie Li, Junxiang Wu, Peng Xu, Jiang Duan:
Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet. CBMS 2020: 585-590 - [c13]Yanyu Chen, Xuechen Li, Wei Sun:
Research on Stock Selection Strategy Based on AdaBoost Algorithm. CSAE 2020: 102:1-102:5 - [i9]Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud:
Scalable Gradients for Stochastic Differential Equations. CoRR abs/2001.01328 (2020) - [i8]Shun-ichi Amari, Jimmy Ba, Roger B. Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu:
When Does Preconditioning Help or Hurt Generalization? CoRR abs/2006.10732 (2020)
2010 – 2019
- 2019
- [j8]Xuechen Li, Linlin Shen, Meixiao Shen, Connor S. Qiu:
Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification. IEEE Access 7: 33771-33777 (2019) - [j7]Xuechen Li, Yinlong Liu, Manning Wang, Zhijian Song:
GO-APSR: A Globally Optimal Affine Point Set Registration Method. IEEE Access 7: 137232-137240 (2019) - [j6]Xuechen Li, Linlin Shen, Meixiao Shen, Fan Tan, Connor S. Qiu:
Deep learning based early stage diabetic retinopathy detection using optical coherence tomography. Neurocomputing 369: 134-144 (2019) - [j5]Yinlong Liu, Xuechen Li, Manning Wang, Alois C. Knoll, Guang Chen, Zhijian Song:
A Novel Method for the Absolute Pose Problem with Pairwise Constraints. Remote. Sens. 11(24): 3007 (2019) - [c12]Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud:
Scalable Gradients and Variational Inference for Stochastic Differential Equations. AABI 2019: 1-28 - [c11]Zhongliang Li, Juan Yu, Xuechen Li, Yingqi Li, Weicai Dai, Linlin Shen, Lisha Mou, Zuhui Pu:
PNet: An Efficient Network for Pneumonia Detection. CISP-BMEI 2019: 1-5 - [c10]Xuechen Li, Yi Wu, Lester Mackey:
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond. NeurIPS 2019: 7746-7758 - [i7]Yinlong Liu, Xuechen Li, Manning Wang, Guang Chen, Zhijian Song, Alois C. Knoll:
A Novel Method for the Absolute Pose Problem with Pairwise Constraints. CoRR abs/1903.10175 (2019) - [i6]Xuechen Li, Denny Wu, Lester Mackey, Murat A. Erdogdu:
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond. CoRR abs/1906.07868 (2019) - 2018
- [j4]Nan Wang, Xuechen Li, Jianquan Lu, Fuad E. Alsaadi:
Unified synchronization criteria in an array of coupled neural networks with hybrid impulses. Neural Networks 101: 25-32 (2018) - [j3]Xuechen Li, Linlin Shen, Suhuai Luo:
A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray Radiographs. IEEE J. Biomed. Health Informatics 22(2): 516-524 (2018) - [c9]Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud:
Isolating Sources of Disentanglement in Variational Autoencoders. ICLR (Workshop) 2018 - [c8]Chris Cremer, Xuechen Li, David Duvenaud:
Inference Suboptimality in Variational Autoencoders. ICML 2018: 1086-1094 - [c7]Yuexiang Li, Xinpeng Xie, Shaoxiong Liu, Xuechen Li, Linlin Shen:
GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis. ICTAI 2018: 20-24 - [c6]Yuexiang Li, Xuechen Li, Xinpeng Xie, Linlin Shen:
Deep learning based gastric cancer identification. ISBI 2018: 182-185 - [c5]Xuechen Li, Linlin Shen, Jiang Duan:
Optic Disc and Fovea Detection Using Multi-Stage Region-Based Convolutional Neural Network. ISICDM 2018: 7-11 - [c4]Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud:
Isolating Sources of Disentanglement in Variational Autoencoders. NeurIPS 2018: 2615-2625 - [i5]Chris Cremer, Xuechen Li, David Duvenaud:
Inference Suboptimality in Variational Autoencoders. CoRR abs/1801.03558 (2018) - [i4]Tian Qi Chen, Xuechen Li, Roger B. Grosse, David Duvenaud:
Isolating Sources of Disentanglement in Variational Autoencoders. CoRR abs/1802.04942 (2018) - [i3]George Barmpalias, Neng Huang, Andrew Lewis-Pye, Angsheng Li, Xuechen Li, Yicheng Pan, Tim Roughgarden:
The idemetric property: when most distances are (almost) the same. CoRR abs/1804.11187 (2018) - [i2]Xuechen Li, Yinlong Liu, Yiru Wang, Chen Wang, Manning Wang, Zhijian Song:
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition. CoRR abs/1812.11307 (2018) - 2015
- [j2]Angsheng Li, Xuechen Li, Yicheng Pan, Wei Zhang:
Strategies for network security. Sci. China Inf. Sci. 58(1): 1-14 (2015) - [c3]Xuechen Li, Suhuai Luo, Qingmao Hu, Jiaming Li, Dadong Wang:
Rib suppression in chest radiographs for lung nodule enhancement. ICIA 2015: 50-55 - [c2]Xuechen Li, Suhuai Luo, Qingmao Hu:
An Automatic Rib Segmentation Method on X-Ray Radiographs. MMM (1) 2015: 128-139 - 2014
- [j1]Wei Zhang, Yicheng Pan, Pan Peng, Jiankou Li, Xuechen Li, Angsheng Li:
Global core, and galaxy structure of networks. Sci. China Inf. Sci. 57(7): 1-20 (2014) - 2013
- [i1]Angsheng Li, Wei Zhang, Yicheng Pan, Xuechen Li:
Homophyly and Randomness Resist Cascading Failure in Networks. CoRR abs/1310.8040 (2013)
2000 – 2009
- 2009
- [c1]Zunshui Cheng, Youming Xin, Xuechen Li, Jianmin Xing:
Synchronization and Lag Synchronization of Chaotic Networks. ISNN (2) 2009: 1197-1202
Coauthor Index
Tatsunori B. Hashimoto
aka: Tatsunori Hashimoto
aka: Tatsunori Hashimoto
LinLin Shen
aka: Linlin Shen
aka: Linlin Shen
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