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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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2020 – today
- 2024
[j28]Han Guo, Xiufeng Zhang
, Chunxi Yang:
Collective behavior of discrete time multi-agent systems with dynamical opinions. Commun. Nonlinear Sci. Numer. Simul. 138: 108176 (2024)- [j27]Xin-Ming Zhu, Xiaoning Song, Xiao-Tao Li, Fang-Cheng Zhou, Han Guo:
A Physical Process-Based Enhanced Adjacent Channel Retrieval Algorithm for Obtaining Cloudy-Sky Surface Temperature. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [c49]Han Guo, Mingshuo Wei, Jinyang Yu, Xiao Li:
Research on 5G High Speed Train Coverage Enhancement Technology. BMSB 2024: 1-5 - [c48]Mingshuo Wei, Yong Zhao, Han Guo, Jinyang Yu:
Analysis of Coverage Improvement in High-speed Rail Scenarios. BMSB 2024: 1-5 - [c47]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. EMNLP (Findings) 2024: 12419-12433 - [c46]Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim:
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. ICLR 2024 - [i32]Ke Li, Han Guo:
Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning. CoRR abs/2401.02160 (2024) - [i31]Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie:
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. CoRR abs/2402.18128 (2024) - [i30]Chenyao Zhou, Haotian Zhang, Han Guo, Zhengxia Zou, Zhenwei Shi:
A Late-Stage Bitemporal Feature Fusion Network for Semantic Change Detection. CoRR abs/2406.10678 (2024) - [i29]Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim:
Fast Matrix Multiplications for Lookup Table-Quantized LLMs. CoRR abs/2407.10960 (2024) - [i28]James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun:
Training-Free Activation Sparsity in Large Language Models. CoRR abs/2408.14690 (2024) - [i27]Ye Lu, Chaoqian Yuan, Han Guo:
Convolution tensor decomposition for efficient high-resolution solutions to the Allen-Cahn equation. CoRR abs/2410.15519 (2024) - 2023
- [j26]Lu Wu, Chenyu Wu, Han Guo, Zhihao Zhao:
A Cross-Modal Alignment for Zero-Shot Image Classification. IEEE Access 11: 9067-9073 (2023) - [j25]Yongyang Xu, Wei Tang, Ziyin Zeng, Weichao Wu, Jie Wan, Han Guo, Zhong Xie:
NeiEA-NET: Semantic segmentation of large-scale point cloud scene via neighbor enhancement and aggregation. Int. J. Appl. Earth Obs. Geoinformation 119: 103285 (2023) - [j24]Shen Ying, Xinyue Zhang, Meng Wang, Han Guo:
3D building similarity for a random single-view-image pair based on a local 3D shape. Int. J. Appl. Earth Obs. Geoinformation 123: 103467 (2023) - [j23]Dewei Yin, Xiaoning Song, Xin-Ming Zhu, Han Guo, Yongrong Zhang, Yanan Zhang:
Spatiotemporal Analysis of Soil Moisture Variability and Its Driving Factor. Remote. Sens. 15(24): 5768 (2023) - [j22]Hongjie Li, Aonan Liu, Xiao Xie, Han Guo, Hanjiang Xiong, Xianwei Zheng:
Learning Dense Consistent Features for Aerial-to-Ground Structure-From-Motion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5089-5102 (2023) - [c45]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. ACL (demo) 2023: 217-225 - [c44]Zhirong Zhang, Han Guo, Weiliang Xie:
Research of NTN Technical Scheme Based on 5G Network. BMSB 2023: 1-6 - [c43]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. ICASSP 2023: 1-5 - [c42]Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing:
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. ICLR 2023 - [c41]Dacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric P. Xing, Hao Zhang:
MPCFORMER: Fast, Performant and Provate Transformer Inference with MPC. ICLR 2023 - [c40]Han Guo, Yuanlong Yu, Yujie Wang, Xuelin Chen, Yixin Zhuang:
Learning High Frequency Surface Functions In Shells. ICME 2023: 618-623 - [i26]Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing:
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. CoRR abs/2302.04228 (2023) - [i25]Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang:
Recouple Event Field via Probabilistic Bias for Event Extraction. CoRR abs/2305.11498 (2023) - [i24]Takatora Suzuki, Han Guo, Momoko Hayamizu:
Rooted Almost-binary Phylogenetic Networks for which the Maximum Covering Subtree Problem is Solvable in Linear Time. CoRR abs/2305.15132 (2023) - [i23]Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim:
LQ-LoRA: Low-rank Plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. CoRR abs/2311.12023 (2023) - 2022
- [j21]Weixi Wang, Han Guo, Xiaoming Li, Shengjun Tang, You Li, Linfu Xie, Zhihan Lv:
BIM Information Integration Based VR Modeling in Digital Twins in Industry 5.0. J. Ind. Inf. Integr. 28: 100351 (2022) - [j20]Xin-Ming Zhu, Xiaoning Song, Pei Leng, Xiao-Tao Li, Liang Gao, Lirong Ding, Han Guo:
A Simplified Approach to Retrieve the K-Band Microwave Surface Emissivity Under Clear Skies. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Pengyu Liu, Jie Pei, Han Guo, Haifeng Tian, Huajun Fang, Li Wang:
Evaluating the Accuracy and Spatial Agreement of Five Global Land Cover Datasets in the Ecologically Vulnerable South China Karst. Remote. Sens. 14(13): 3090 (2022) - [c39]Han Guo, Xiaoyin Zhao, Bowen Cai, Jia Hou, Mingshuo Wei, Xiaohang Xu:
Research on Handover Technology in 5G NSA and SA Hybrid Network. BMSB 2022: 1-5 - [c38]Mingshuo Wei, Yuetian Zhou, Han Guo, Chunlei Hu, Weiliang Xie:
Analysis and Implementation of MIMO Antenna Miniaturization. BMSB 2022: 1-5 - [c37]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. CVPR 2022: 18009-18019 - [c36]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu:
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. EMNLP 2022: 3369-3391 - [c35]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. EMNLP (Findings) 2022: 6969-6991 - [c34]Mingshuo Wei, Xiaohang Xu, Han Guo, Yuetian Zhou, Chunlei Hu:
Research Based on High and Low Frequency Cooperative through Carrier Aggregation for Deep Coverage Enhancement. ICAIT 2022: 128-133 - [c33]Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun:
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. NAACL-HLT (Findings) 2022: 2171-2181 - [i22]Jinjiang Guo, Qi Liu, Han Guo, Xi Lu:
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation. CoRR abs/2202.10873 (2022) - [i21]Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu:
RLPrompt: Optimizing Discrete Text Prompts With Reinforcement Learning. CoRR abs/2205.12548 (2022) - [i20]Dacheng Li, Rulin Shao, Hongyi Wang, Han Guo, Eric P. Xing, Hao Zhang:
MPCFormer: fast, performant and private Transformer inference with MPC. CoRR abs/2211.01452 (2022) - [i19]Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan:
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. CoRR abs/2212.06385 (2022) - 2021
- [j18]Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li:
Butterfly Factorization Via Randomized Matrix-Vector Multiplications. SIAM J. Sci. Comput. 43(2): A883-A907 (2021) - [c32]Wei Hu, Jianyi Liu, Han Guo, Jing Li, Xinjian Zhao, Mingyang Zhang:
Network Security Situation Prediction Model Based on Security Situation Factors. DSC 2021: 23-31 - [c31]Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. EMNLP (1) 2021: 10333-10350 - [c30]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. ICLR 2021 - [c29]Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg:
Open-Domain Trending Hashtag Recommendation for Videos. ISM 2021: 174-181 - [c28]Hua Zhang, Han Guo, Weiliang Xie:
Research on Performance of Power Saving Technology for 5G Base Station. IWCMC 2021: 194-198 - [c27]Bowen Cai, Weiliang Xie, Han Guo:
Analysis and Field Trial on Interference Coexistence of 5G NR and 4G LTE Dynamic Spectrum Sharing. IWCMC 2021: 1281-1285 - [c26]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation. RepL4NLP@ACL-IJCNLP 2021: 289-306 - [i18]Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin:
CPT: Efficient Deep Neural Network Training via Cyclic Precision. CoRR abs/2101.09868 (2021) - [i17]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. CoRR abs/2102.10407 (2021) - [i16]Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu:
Text Generation with Efficient (Soft) Q-Learning. CoRR abs/2106.07704 (2021) - [i15]Youngseog Chung, Ian Char, Han Guo, Jeff Schneider, Willie Neiswanger:
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification. CoRR abs/2109.10254 (2021) - 2020
- [j17]Wei Hu, Jing Li, Jie Cheng, Han Guo, Hui Xie:
Security monitoring of heterogeneous networks for big data based on distributed association algorithm. Comput. Commun. 152: 206-214 (2020) - [j16]Han Guo, Dongmei Niu, Mingxuan Zhang, Xiuyang Zhao, Bo Yang, Caiming Zhang:
Multiscale bilateral filtering to detect 3D interest points. IET Comput. Vis. 14(1): 36-47 (2020) - [j15]Xi Kuai, Renzhong Guo, Zhijun Zhang, Biao He, Zhigang Zhao, Han Guo:
Spatial Context-Based Local Toponym Extraction and Chinese Textual Address Segmentation from Urban POI Data. ISPRS Int. J. Geo Inf. 9(3): 147 (2020) - [j14]Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu:
Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing 377: 38-48 (2020) - [j13]Jianbo Yuan, Zhiwei Jin, Han Guo, Hongxia Jin, Xianchao Zhang, Tristram H. Smith, Jiebo Luo:
Constructing biomedical domain-specific knowledge graph with minimum supervision. Knowl. Inf. Syst. 62(1): 317-336 (2020) - [j12]Dongmei Niu, Han Guo, Xiuyang Zhao, Caiming Zhang:
Three-dimensional salient point detection based on the Laplace-Beltrami eigenfunctions. Vis. Comput. 36(4): 767-784 (2020) - [c25]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. AAAI 2020: 7830-7838 - [c24]Wei Hu, Jing Li, Jie Cheng, Han Guo, Hui Xie:
Detection Algorithm of DoS High Camouflage Attack Feature Based on S_Kohonen Neural Network. CSIA (2) 2020: 599-602 - [c23]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. EMNLP (1) 2020: 7766-7780 - [i14]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. CoRR abs/2001.04362 (2020) - [i13]Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li:
Butterfly factorization via randomized matrix-vector multiplications. CoRR abs/2002.03400 (2020) - [i12]Ru Zhang, Wenxin Sun, Jianyi Liu, Jingwen Li, Guan Lei, Han Guo:
Construction of Two Statistical Anomaly Features for Small-Sample APT Attack Traffic Classification. CoRR abs/2010.13978 (2020) - [i11]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
DORB: Dynamically Optimizing Multiple Rewards with Bandits. CoRR abs/2011.07635 (2020) - [i10]Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. CoRR abs/2012.15781 (2020)
2010 – 2019
- 2019
- [j11]Lijian Zhou, Han Guo, Shanshan Lin, Siyuan Hao, Kun Zhao:
Combining multi-wavelet and CNN for palmprint recognition against noise and misalignment. IET Image Process. 13(9): 1470-1478 (2019) - [j10]Lvwen Huang, Han Guo, Qinqin Rao, Zixia Hou, Shuqin Li, Shicheng Qiu, Xinyun Fan, Hongyan Wang:
Body Dimension Measurements of Qinchuan Cattle with Transfer Learning from LiDAR Sensing. Sensors 19(22): 5046 (2019) - [c22]Xianfang Xue, Carlos Chi Lang, Han Guo:
The Impact of Network Orientation of E-Commerce Enterprises on the Performance of Start-ups: Mediated by Resource Integration Ability. EBIMCS 2019: 3:1-3:7 - [c21]Han Guo, Dongmei Niu, Xiangyu Kong, Xiuyang Zhao:
Face replacement based on 2D dense mapping. ICIGP 2019: 23-28 - [c20]Han Guo, Viswanathan Swaminathan, Saayan Mitra:
A Scalable Data Augmentation and Training Pipeline for Logo Detection. ISM 2019: 48-55 - [c19]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. NAACL-HLT (1) 2019: 3520-3531 - [i9]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. CoRR abs/1904.04153 (2019) - 2018
- [j9]Lijian Zhou, Zuowei Wang, Han Guo, Siyuan Hao, Zhao Zhuo:
Palm-print Recognition based on CNN against Rotation and Noise. J. Inf. Hiding Multim. Signal Process. 9(6): 1603-1612 (2018) - [j8]Xin Li, Han Guo, Xin Zhang, Fangqiang Hu, Renjun Shuai:
基于非平衡数据处理方法的网络在线广告中 点击欺诈检测的研究 (Study on Click Fraud Detection in Online Advertising with Imbalanced Data Processing Methods). 计算机科学 45(6A): 371-374 (2018) - [j7]Feng Cao, Fei Liu, Han Guo, Wenwen Kong, Chu Zhang, Yong He:
Fast Detection of Sclerotinia Sclerotiorum on Oilseed Rape Leaves Using Low-Altitude Remote Sensing Technology. Sensors 18(12): 4464 (2018) - [j6]Han Guo, Namrata Vaswani:
Video Denoising via Dynamic Video Layering. IEEE Signal Process. Lett. 25(7): 1009-1013 (2018) - [c18]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. ACL (1) 2018: 687-697 - [c17]Tianlang Chen, Yuxiao Chen, Han Guo, Jiebo Luo:
You Type a Few Words and We Do the Rest: Image Recommendation for Social Multimedia Posts. IEEE BigData 2018: 2124-2133 - [c16]Han Guo, Juan Cao, Yazi Zhang, Junbo Guo, Jintao Li:
Rumor Detection with Hierarchical Social Attention Network. CIKM 2018: 943-951 - [c15]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. COLING 2018: 462-476 - [c14]Han Guo, Meng-Kun Liu:
Induction motor faults diagnosis using support vector machine to the motor current signature. ICPS 2018: 417-421 - [c13]Tianlang Chen, Yuxiao Chen, Han Guo, Jiebo Luo:
When E-commerce Meets Social Media: Identifying Business on WeChat Moment Using Bilateral-Attention LSTM. WWW (Companion Volume) 2018: 343-350 - [i8]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. CoRR abs/1805.11004 (2018) - [i7]Han Guo, Ramakanth Pasunuru, Mohit Bansal:
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. CoRR abs/1806.07304 (2018) - [i6]Juan Cao, Junbo Guo, Xirong Li, Zhiwei Jin, Han Guo, Jintao Li:
Automatic Rumor Detection on Microblogs: A Survey. CoRR abs/1807.03505 (2018) - 2017
- [c12]Jianbo Yuan, Han Guo, Zhiwei Jin, Hongxia Jin, Xianchao Zhang, Jiebo Luo:
One-shot learning for fine-grained relation extraction via convolutional siamese neural network. IEEE BigData 2017: 2194-2199 - [c11]Huiping Bai, Yi Chen, Han Guo, Jun Zhao, Jianqi Sun:
Monte Carlo simulation of radiation dose distribution in X-ray imaging at Shanghai Synchrotron Radiation Facility. EMBC 2017: 552-555 - [c10]Ramakanth Pasunuru, Han Guo, Mohit Bansal:
Towards Improving Abstractive Summarization via Entailment Generation. NFiS@EMNLP 2017: 27-32 - [c9]Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo:
Spice Up Your Chat: The Intentions and Sentiment Effects of Using Emojis. ICWSM 2017: 102-111 - [c8]Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Jiebo Luo:
Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs. ACM Multimedia 2017: 795-816 - [c7]Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang, Jiebo Luo:
Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter. SBP-BRiMS 2017: 14-24 - [i5]Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang, Jiebo Luo:
Rumor Detection on Twitter Pertaining to the 2016 U.S. Presidential Election. CoRR abs/1701.06250 (2017) - [i4]Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo:
Spice up Your Chat: The Intentions and Sentiment Effects of Using Emoji. CoRR abs/1703.02860 (2017) - [i3]Han Guo, Namrata Vaswani:
Video Denoising and Enhancement via Dynamic Video Layering. CoRR abs/1710.02213 (2017) - 2016
- [j5]Han Guo, Xiaoming Li, Weixi Wang, Zhihan Lv, Chen Wu, Weiping Xu:
An event-driven dynamic updating method for 3D geo-databases. Geo spatial Inf. Sci. 19(2): 140-147 (2016) - [j4]Yousheng Zhou, Han Guo, Feng Wang, Wenjun Luo:
Multi-Key Searchable Encryption with Designated Server. Intell. Autom. Soft Comput. 22(2): 295-301 (2016) - [j3]Han Guo:
Application of Virtual Reality Technology in Swimming Teaching. Int. J. Emerg. Technol. Learn. 11(11): 9-14 (2016) - [c6]Jinchun Zhan, Brian Lois, Han Guo, Namrata Vaswani:
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees. AISTATS 2016: 1488-1496 - [c5]Namrata Vaswani, Han Guo:
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated. NIPS 2016: 1768-1776 - [c4]Han Guo, Namrata Vaswani:
Video denoising via online sparse and low-rank matrix decomposition. SSP 2016: 1-5 - [i2]Namrata Vaswani, Han Guo:
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated. CoRR abs/1608.04320 (2016) - 2014
- [j2]Han Guo, Chenlu Qiu, Namrata Vaswani:
An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum. IEEE Trans. Signal Process. 62(16): 4284-4297 (2014) - [c3]Han Guo, Namrata Vaswani, Chenlu Qiu:
Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 2. GlobalSIP 2014: 369-373 - [c2]Han Guo, Chenlu Qiu, Namrata Vaswani:
Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 1. ICASSP 2014: 4161-4165 - 2013
- [j1]Hanru Shao, Jun Hu, Wenchun Lu, Han Guo, Zaiping Nie:
Analyzing Large-Scale Arrays Using Tangential Equivalence Principle Algorithm With Characteristic Basis Functions. Proc. IEEE 101(2): 414-422 (2013) - [c1]Xianxia Huang, Hui Li, Tai Zhou, Yumeng Zhang, Han Guo, Hanxu Hou, Huayu Zhang, Kai Lei:
Minimum storage BASIC codes: A system perspective. IEEE BigData 2013: 39-43 - [i1]Han Guo, Chenlu Qiu, Namrata Vaswani:
Practical ReProCS for Separating Sparse and Low-dimensional Signal Sequences from their Sum. CoRR abs/1310.4261 (2013)