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2020 – today
- 2024
[j22]Yuhao Wang
, Kuishuang Feng, Laixiang Sun, Yiqun Xie, Xiao-Peng Song:
Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods. Comput. Electron. Agric. 221: 108978 (2024)- [j21]Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia:
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36(9): 4750-4765 (2024) - [c52]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI 2024: 21949-21957 - [c51]Erhu He, Yiqun Xie, Alexander Sun, Jacob Zwart, Jie Yang, Zhenong Jin, Yang Wang, Hassan A. Karimi, Xiaowei Jia:
Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks. AAAI 2024: 22087-22095 - [c50]Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu:
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. AAAI 2024: 22420-22428 - [c49]Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. AAAI 2024: 22457-22465 - [c48]Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo:
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. KDD 2024: 4512-4523 - [c47]Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. PPSN (4) 2024: 398-415 - [c46]Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. SDM 2024: 481-489 - [c45]Nasrin Kalanat, Yiqun Xie, Yanhua Li, Xiaowei Jia:
Spatial-Temporal Augmented Adaptation via Cycle-Consistent Adversarial Network: An Application in Streamflow Prediction. SDM 2024: 598-606 - [c44]Erhu He, Yiqun Xie, Licheng Liu, Zhenong Jin, Dajun Zhang, Xiaowei Jia:
Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features. SDM 2024: 715-723 - [i13]Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu:
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models. CoRR abs/2401.15270 (2024) - [i12]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR abs/2402.13379 (2024) - [i11]Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. CoRR abs/2403.18923 (2024) - [i10]Yiqun Xie, Zhihao Wang, Weiye Chen, Zhili Li, Xiaowei Jia, Yanhua Li, Ruichen Wang, Kangyang Chai, Ruohan Li, Sergii Skakun:
When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery. CoRR abs/2404.11797 (2024) - [i9]Xinbo Zhao, Yingxue Zhang, Xin Zhang, Yu Yang, Yiqun Xie, Yanhua Li, Jun Luo:
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing. CoRR abs/2406.14054 (2024) - 2023
- [j20]Yiqun Xie, Shashi Shekhar, Yan Li:
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. ACM Comput. Surv. 55(2): 36:1-36:38 (2023) - [j19]Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65(6): 2699-2729 (2023) - [j18]Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia:
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65(8): 3223-3250 (2023) - [j17]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. Knowl. Inf. Syst. 65(11): 4759-4795 (2023) - [c43]Erhu He, Yiqun Xie, Licheng Liu, Weiye Chen, Zhenong Jin, Xiaowei Jia:
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction. AAAI 2023: 14223-14231 - [c42]Zhili Li, Yiqun Xie, Xiaowei Jia, Kara Stuart, Caroline Delaire, Sergii Skakun:
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery. AAAI 2023: 14321-14328 - [c41]Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. AAAI 2023: 14365-14373 - [c40]Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun:
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI 2023: 14575-14583 - [c39]Shengyu Chen, Nasrin Kalanat, Simon N. Topp, Jeffrey M. Sadler, Yiqun Xie, Zhe Jiang, Xiaowei Jia:
Meta-Transfer-Learning for Time Series Data with Extreme Events: An Application to Water Temperature Prediction. CIKM 2023: 266-275 - [c38]Anh N. Nhu, Yiqun Xie:
Towards Inherently Interpretable Deep Learning for Accelerating Scientific Discoveries in Climate Science. SIGSPATIAL/GIS 2023: 8:1-8:2 - [c37]Zhihao Wang, Yiqun Xie, Xiaowei Jia, Lei Ma, George C. Hurtt:
High-Fidelity Deep Approximation of Ecosystem Simulation over Long-Term at Large Scale. SIGSPATIAL/GIS 2023: 32:1-32:10 - [c36]Yiqun Xie, Zhaonan Wang, Gengchen Mai, Yanhua Li, Xiaowei Jia, Song Gao, Shaowen Wang:
Geo-Foundation Models: Reality, Gaps and Opportunities. SIGSPATIAL/GIS 2023: 66:1-66:4 - [c35]Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang:
Rethinking Data Distillation: Do Not Overlook Calibration. ICCV 2023: 4912-4922 - [c34]Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM 2023: 150-159 - [c33]Erhu He, Yue Wan, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia:
CGS: Coupled Growth and Survival Model with Cohort Fairness. IJCAI 2023: 5986-5994 - [c32]Zhili Li, Yiqun Xie, Xiaowei Jia:
Confidence-based Self-Corrective Learning: An Application in Height Estimation Using Satellite LiDAR and Imagery. IJCAI 2023: 6049-6057 - [c31]Shengyu Chen, Yiqun Xie, Xiang Li, Xu Liang, Xiaowei Jia:
Physics-Guided Meta-Learning Method in Baseflow Prediction over Large Regions. SDM 2023: 217-225 - [c30]Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie:
A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. SDM 2023: 316-324 - [c29]Xiaowei Jia, Shengyu Chen, Can Zheng, Yiqun Xie, Zhe Jiang, Nasrin Kalanat:
Physics-guided Graph Diffusion Network for Combining Heterogeneous Simulated Data: An Application in Predicting Stream Water Temperature. SDM 2023: 361-369 - [c28]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. SDM 2023: 838-846 - [e4]Jinmeng Rao, Song Gao, Heba Aly, Emre Eftelioglu, Yan Li, Yiqun Xie:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i8]Yan Li, Mingzhou Yang, Matthew Eagon, Majid Farhadloo, Yiqun Xie, William F. Northrop, Shashi Shekhar:
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation. CoRR abs/2301.05739 (2023) - [i7]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. CoRR abs/2301.08648 (2023) - [i6]Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu:
Rethinking Data Distillation: Do Not Overlook Calibration. CoRR abs/2307.12463 (2023) - [i5]Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia:
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR abs/2311.10255 (2023) - 2022
- [j16]Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li:
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. ACM Trans. Intell. Syst. Technol. 13(2): 27:1-27:23 (2022) - [c27]Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI 2022: 12208-12216 - [c26]Xiaohu Zhao, Kebin Jia, Benjamin H. Letcher, Jennifer H. Fair, Yiqun Xie, Xiaowei Jia:
VIMTS: Variational-based Imputation for Multi-modal Time Series. IEEE Big Data 2022: 349-358 - [c25]Yan Li, Majid Farhadloo, Santhoshi Krishnan, Yiqun Xie, Timothy L. Frankel, Shashi Shekhar, Arvind Rao:
CSCD: towards spatially resolving the heterogeneous landscape of MxIF oncology data. BigSpatial@SIGSPATIAL 2022: 36-46 - [c24]Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS 2022: 41:1-41:10 - [c23]Weiye Chen, Zhihao Wang, Zhili Li, Yiqun Xie, Xiaowei Jia, Anlin Li:
Deep semantic segmentation for building detection using knowledge-informed features from LiDAR point clouds. SIGSPATIAL/GIS 2022: 119:1-119:4 - [c22]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. ICDM 2022: 1-10 - [c21]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI 2022: 5364-5368 - [c20]Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou:
Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. KDD 2022: 554-564 - [c19]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. SDM 2022: 91-99 - [e3]Yiqun Xie, Jia Yu, Emre Eftelioglu, Heba Aly:
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications, GeoIndustry 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9535-9 [contents] - [e2]Yiqun Xie, Jia Yu:
Proceedings of the 4th ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, SpatialAPI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9542-7 [contents] - [i4]Xiaowei Jia, Shengyu Chen, Yiqun Xie, Haoyu Yang, Alison P. Appling, Samantha Oliver, Zhe Jiang:
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature. CoRR abs/2202.05714 (2022) - [i3]Zhexiong Liu, Licheng Liu, Yiqun Xie, Zhenong Jin, Xiaowei Jia:
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability. CoRR abs/2212.06864 (2022) - 2021
- [j15]Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar:
Discovering regions of anomalous spatial co-locations. Int. J. Geogr. Inf. Sci. 35(5): 974-998 (2021) - [j14]Zhihao Wei, Kebin Jia, Pengyu Liu, Xiaowei Jia, Yiqun Xie, Zhe Jiang:
Large-Scale River Mapping Using Contrastive Learning and Multi-Source Satellite Imagery. Remote. Sens. 13(15): 2893 (2021) - [j13]Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou:
Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. 12(5): 62:1-62:26 (2021) - [j12]Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, Shashi Shekhar:
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach. ACM Trans. Intell. Syst. Technol. 12(6): 76:1-76:21 (2021) - [c18]Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam:
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS 2021: 313-323 - [c17]Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM 2021: 270-279 - [c16]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM 2021: 767-776 - [e1]Yiqun Xie, Jia Yu:
SpatialAPI@SIGSPATIAL 2021: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on APIs and Libraries for Geospatial Data Science, Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9103-0 [contents] - [i2]Yiqun Xie, Shashi Shekhar, Yan Li:
Statistically-Robust Clustering Techniques for Mapping Spatial Hotspots: A Survey. CoRR abs/2103.12019 (2021) - 2020
- [j11]Yiqun Xie, Jiannan Cai, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight:
A locally-constrained YOLO framework for detecting small and densely-distributed building footprints. Int. J. Geogr. Inf. Sci. 34(4): 777-801 (2020) - [j10]Yiqun Xie, Shashi Shekhar:
A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. Trans. Data Sci. 1(3): 17:1-17:29 (2020) - [j9]Yan Li, Pratik Kotwal, Pengyue Wang, Yiqun Xie, Shashi Shekhar, William F. Northrop:
Physics-guided Energy-efficient Path Selection Using On-board Diagnostics Data. Trans. Data Sci. 1(3): 22:1-22:28 (2020) - [j8]Yiqun Xie, Xun Zhou, Shashi Shekhar:
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Trans. Intell. Syst. Technol. 11(1): 2:1-2:24 (2020) - [j7]Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar:
Significant spatial co-distribution pattern discovery. Comput. Environ. Urban Syst. 84: 101543 (2020) - [c15]Yan Li, Yiqun Xie, Pengyue Wang, Shashi Shekhar, William F. Northrop:
Significant lagrangian linear hotspot discovery. IWCTS@SIGSPATIAL 2020: 5:1-5:10 - [c14]Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie:
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. SIGSPATIAL/GIS 2020: 273-282 - [c13]Yiqun Xie, Han Bao, Yan Li, Shashi Shekhar:
Discovering Spatial Mixture Patterns of Interest. SIGSPATIAL/GIS 2020: 608-617 - [i1]Jayant Gupta, Yiqun Xie, Shashi Shekhar:
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results. CoRR abs/2011.08992 (2020)
2010 – 2019
- 2019
- [c12]Samantha Detor, Abigail Roh, Yiqun Xie, Shashi Shekhar:
Analyzing Domain Knowledge for Big Data Analysis: A Case Study with Urban Tree Type Classification. BDA 2019: 176-192 - [c11]Yiqun Xie, Shashi Shekhar, Richard Feiock, Joseph F. Knight:
Revolutionizing Tree Management via Intelligent Spatial Techniques. SIGSPATIAL/GIS 2019: 71-74 - [c10]Anushree Ramanath, Saipreethi Muthusrinivasan, Yiqun Xie, Shashi Shekhar, Bharathkumar Ramachandra:
NDVI Versus CNN Features in Deep Learning for Land Cover Clasification of Aerial Images. IGARSS 2019: 6483-6486 - [c9]Yiqun Xie, Shashi Shekhar:
A Nondeterministic Normalization based Scan Statistic (NN-scan) towards Robust Hotspot Detection: A Summary of Results. SDM 2019: 82-90 - [c8]Yiqun Xie, Shashi Shekhar:
Significant DBSCAN towards Statistically Robust Clustering. SSTD 2019: 31-40 - 2018
- [c7]Yiqun Xie, Rahul Bhojwani, Shashi Shekhar, Joseph F. Knight:
An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results. SIGSPATIAL/GIS 2018: 349-358 - [c6]Yiqun Xie, Han Bao, Shashi Shekhar, Joseph F. Knight:
A TIMBER Framework for Mining Urban Tree Inventories Using Remote Sensing Datasets. ICDM 2018: 1344-1349 - [c5]Yiqun Xie, Jayant Gupta, Yan Li, Shashi Shekhar:
Transforming Smart Cities with Spatial Computing. ISC2 2018: 1-9 - 2017
- [j6]Yiqun Xie, Bryan C. Runck, Shashi Shekhar, Len Kne, David J. Mulla, Nicolas Jordan, Peter Wiringa:
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. ISPRS Int. J. Geo Inf. 6(7): 226 (2017) - [j5]Yiqun Xie, Emre Eftelioglu, Reem Y. Ali, Xun Tang, Yan Li, Ruhi Doshi, Shashi Shekhar:
Transdisciplinary Foundations of Geospatial Data Science. ISPRS Int. J. Geo Inf. 6(12): 395 (2017) - [c4]Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla:
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. AAAI Workshops 2017 - [c3]Yiqun Xie, Shashi Shekhar:
FF-SA: Fragmentation-Free Spatial Allocation. SSTD 2017: 319-338 - 2016
- [j4]Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai:
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18(2): 1-4 (2016) - 2014
- [j3]Bing Fu, Li Chen, Feifei Wang, Yiqun Xie, Xiang Ye:
Melting of icosahedral nickel clusters under hydrostatic pressure. J. Comput. Chem. 35(31): 2231-2238 (2014) - [c2]Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah:
Ring-Shaped Hotspot Detection: A Summary of Results. ICDM 2014: 815-820 - 2013
- [j2]Yiqun Xie, Guoan Tang, Shijiang Yan, Hui Lin:
Crater Detection Using the Morphological Characteristics of Chang'E-1 Digital Elevation Models. IEEE Geosci. Remote. Sens. Lett. 10(4): 885-889 (2013)
2000 – 2009
- 2006
- [c1]Richard Gu, Ah-Lyan Yee, Yiqun Xie, Wai Lee:
A 6.25GHz 1V LC-PLL in 0.13µm CMOS. ISSCC 2006: 2442-2451 - 2005
- [j1]Robert Payne, Paul E. Landman, Bhavesh Bhakta, Sridhar Ramaswamy, Song Wu, John D. Powers, M. Ulvi Erdogan, Ah-Lyan Yee, Richard Gu, Lin Wu, Yiqun Xie, Bharadwaj Parthasarathy, Keith C. Brouse, Wahed Mohammed, Keerthi Heragu, Vikas Gupta, Lisa Dyson, Wai Lee:
A 6.25-Gb/s binary transceiver in 0.13-μm CMOS for serial data transmission across high loss legacy backplane channels. IEEE J. Solid State Circuits 40(12): 2646-2657 (2005)
Coauthor Index
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