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2020 – today
- 2023
[j23]Artem Savkin
, Yida Wang, Sebastian Wirkert, Nassir Navab, Federico Tombari:
Lidar Upsampling With Sliced Wasserstein Distance. IEEE Robotics Autom. Lett. 8(1): 392-399 (2023)- [c45]Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko:
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. ASPLOS (2) 2023: 370-384 - [i34]Artem Savkin, Yida Wang, Sebastian Wirkert, Nassir Navab, Federico Tombari:
Lidar Upsampling with Sliced Wasserstein Distance. CoRR abs/2301.13558 (2023) - [i33]Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang:
Decoupled Model Schedule for Deep Learning Training. CoRR abs/2302.08005 (2023) - [i32]Cody Hao Yu, Haozheng Fan, Guangtai Huang, Zhen Jia, Yizhi Liu, Jie Wang, Zach Zheng, Yuan Zhou, Haichen Shen, Junru Shao, Mu Li, Yida Wang:
RAF: Holistic Compilation for Deep Learning Model Training. CoRR abs/2303.04759 (2023) - 2022
- [j22]Changkai Tong, Huali Wang, Yida Wang:
Relation of canonical correlation analysis and multivariate synchronization index in SSVEP detection. Biomed. Signal Process. Control. 73: 103345 (2022) - [j21]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion. Int. J. Comput. Vis. 130(5): 1145-1164 (2022) - [j20]Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. Proc. VLDB Endow. 16(1): 37-50 (2022) - [j19]Yida Wang, Shihao Yan, Xiaobo Zhou, Yuzhen Huang, Derrick Wing Kwan Ng:
Covert Communication With Energy Replenishment Constraints in UAV Networks. IEEE Trans. Veh. Technol. 71(9): 10143-10148 (2022) - [j18]Yida Wang, Shihao Yan, Weiwei Yang, Caijun Zhong, Derrick Wing Kwan Ng:
Probabilistic Accumulate-Then-Transmit in Wireless-Powered Covert Communications. IEEE Trans. Wirel. Commun. 21(12): 10393-10406 (2022) - [c44]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Learning Local Displacements for Point Cloud Completion. CVPR 2022: 1558-1567 - [c43]Yida Wang, Shihao Yan, Caijun Zhong, Derrick Wing Kwan Ng:
Probabilistic Accumulate-then-Transmit in Covert Communications with Energy Harvesting. ICC 2022: 685-691 - [c42]Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko:
DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys 2022 - [c41]Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. OSDI 2022: 559-578 - [i31]Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica:
Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. CoRR abs/2201.12023 (2022) - [i30]Evin Pinar Örnek, Shristi Mudgal, Johanna Wald, Yida Wang, Nassir Navab, Federico Tombari:
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction. CoRR abs/2203.08122 (2022) - [i29]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Learning Local Displacements for Point Cloud Completion. CoRR abs/2203.16600 (2022) - [i28]Chenglong Wang, Yun Liu, Fen Wang, Chengxiu Zhang, Yida Wang, Mei Yuan, Guang Yang:
Towards Reliable and Explainable AI Model for Solid Pulmonary Nodule Diagnosis. CoRR abs/2204.04219 (2022) - [i27]Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin:
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. CoRR abs/2205.00119 (2022) - [i26]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPool++: An Encoder-Decoder Network for Point Cloud Completion. CoRR abs/2205.03899 (2022) - [i25]Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko:
Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs. CoRR abs/2210.09603 (2022) - 2021
- [j17]Xiaohui Shang, Hao Yin, Yida Wang, Mu Li, Yong Wang:
Secure Multiuser Scheduling for Hybrid Relay-Assisted Wireless Powered Cooperative Communication Networks With Full-Duplex Destination-Based Jamming. IEEE Access 9: 49774-49787 (2021) - [j16]Yida Wang, Shihao Yan, Weiwei Yang, Yuzhen Huang, Chunshan Liu:
Energy-Efficient Covert Communications for Bistatic Backscatter Systems. IEEE Trans. Veh. Technol. 70(3): 2906-2911 (2021) - [j15]Yida Wang, Shihao Yan, Weiwei Yang, Yueming Cai:
Covert Communications With Constrained Age of Information. IEEE Wirel. Commun. Lett. 10(2): 368-372 (2021) - [c40]Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang:
Diversifying Dialog Generation via Adaptive Label Smoothing. ACL/IJCNLP (1) 2021: 3507-3520 - [c39]Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki:
UNIT: Unifying Tensorized Instruction Compilation. CGO 2021: 77-89 - [c38]Cody Hao Yu, Xingjian Shi, Haichen Shen, Zhi Chen, Mu Li, Yida Wang:
Lorien: Efficient Deep Learning Workloads Delivery. SoCC 2021: 18-32 - [c37]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQ-V3: Dyadic Neural Network Quantization. ICML 2021: 11875-11886 - [c36]Guangli Li, Zhen Jia, Xiaobing Feng, Yida Wang:
LoWino: Towards Efficient Low-Precision Winograd Convolutions on Modern CPUs. ICPP 2021: 81:1-81:11 - [c35]Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang:
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference. MLSys 2021 - [i24]Jian Weng, Animesh Jain, Jie Wang, Leyuan Wang, Yida Wang, Tony Nowatzki:
UNIT: Unifying Tensorized Instruction Compilation. CoRR abs/2101.08458 (2021) - [i23]Yida Wang, Shihao Yan, Weiwei Yang, Caijun Zhong, Derrick Wing Kwan Ng:
Probabilistic Accumulate-then-Transmit in Wireless-Powered Covert Communications. CoRR abs/2104.06160 (2021) - [i22]Zhi Chen, Cody Hao Yu, Trevor Morris, Jorn Tuyls, Yi-Hsiang Lai, Jared Roesch, Elliott Delaye, Vin Sharma, Yida Wang:
Bring Your Own Codegen to Deep Learning Compiler. CoRR abs/2105.03215 (2021) - [i21]Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang:
Diversifying Dialog Generation via Adaptive Label Smoothing. CoRR abs/2105.14556 (2021) - [i20]Chen Henry Wu, Yinhe Zheng, Yida Wang, Zhenyu Yang, Minlie Huang:
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues. CoRR abs/2106.03065 (2021) - [i19]Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR abs/2108.01547 (2021) - 2020
- [j14]Jinli Zhang, Zongli Jiang, Yongping Du, Tong Li, Yida Wang, Xiaohua Hu:
Hierarchy construction and classification of heterogeneous information networks based on RSDAEf. Data Knowl. Eng. 127: 101790 (2020) - [j13]Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari:
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. IEEE Robotics Autom. Lett. 5(4): 6583-6590 (2020) - [j12]Xiaohui Shang, Hao Yin, Yida Wang, Mu Li, Yong Wang:
Secrecy Performance Analysis of Wireless Powered Sensor Networks Under Saturation Nonlinear Energy Harvesting and Activation Threshold. Sensors 20(6): 1632 (2020) - [j11]Xiaohui Shang, Hao Yin, Aijun Liu, Mu Li, Yida Wang, Yong Wang:
Secure Green-Oriented Multiuser Scheduling for Wireless-Powered Internet of Things. Wirel. Commun. Mob. Comput. 2020: 7845107:1-7845107:11 (2020) - [c34]Hang Cao, Xiaowen Liu, Yida Wang, Yuting Li, Weimin Lei:
Enhanced Down/Up-Sampling-Based Video Coding Using the Residual Compensation. ICCCS 2020: 286-290 - [c33]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. ECCV (3) 2020: 70-85 - [c32]Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. NLPCC (1) 2020: 91-103 - [c31]Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor: Generating High-Performance Tensor Programs for Deep Learning. OSDI 2020: 863-879 - [c30]Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang:
FeatGraph: a flexible and efficient backend for graph neural network systems. SC 2020: 71 - [c29]Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM 2020: 8-13 - [c28]Jiawei Li, Meng Wang, Yida Wang, Xin Shi, Cheng Wan:
Covert Communications in D2D Underlaying Cellular Networks with Multiple Wardens. WCSP 2020: 847-852 - [i18]Hongbin Zheng, Sejong Oh, Huiqing Wang, Preston Briggs, Jiading Gai, Animesh Jain, Yizhi Liu, Rich Heaton, Randy Huang, Yida Wang:
Optimizing Memory-Access Patterns for Deep Learning Accelerators. CoRR abs/2002.12798 (2020) - [i17]Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang:
Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference. CoRR abs/2006.03031 (2020) - [i16]Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica:
Ansor : Generating High-Performance Tensor Programs for Deep Learning. CoRR abs/2006.06762 (2020) - [i15]Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? CoRR abs/2006.10103 (2020) - [i14]Animesh Jain, Shoubhik Bhattacharya, Masahiro Masuda, Vin Sharma, Yida Wang:
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach. CoRR abs/2006.10226 (2020) - [i13]Yida Wang, Shihao Yan, Weiwei Yang, Yueming Cai:
Covert Communications with Constrained Age of Information. CoRR abs/2006.12159 (2020) - [i12]Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari:
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. CoRR abs/2008.01963 (2020) - [i11]Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. CoRR abs/2008.03946 (2020) - [i10]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. CoRR abs/2008.07358 (2020) - [i9]Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang:
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR abs/2008.11359 (2020) - [i8]Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael W. Mahoney, Kurt Keutzer:
HAWQV3: Dyadic Neural Network Quantization. CoRR abs/2011.10680 (2020)
2010 – 2019
- 2019
- [j10]Yafei Gao, Yida Wang, Pietro Falco, Nassir Navab, Federico Tombari:
Variational Object-Aware 3-D Hand Pose From a Single RGB Image. IEEE Robotics Autom. Lett. 4(4): 4239-4246 (2019) - [c27]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image. ICCV 2019: 8607-8616 - [c26]Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang:
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs. ICPP 2019: 99:1-99:10 - [c25]Yizhi Liu, Yao Wang, Ruofei Yu, Mu Li, Vin Sharma, Yida Wang:
Optimizing CNN Model Inference on CPUs. USENIX Annual Technical Conference 2019: 1025-1040 - [i7]Leyuan Wang, Zhi Chen, Yizhi Liu, Yao Wang, Lianmin Zheng, Mu Li, Yida Wang:
A Unified Optimization Approach for CNN Model Inference on Integrated GPUs. CoRR abs/1907.02154 (2019) - [i6]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image. CoRR abs/1909.01106 (2019) - 2018
- [j9]Yida Wang, Weiwei Yang, Xiaohui Shang, Jianwei Hu, Yuzhen Huang, Yueming Cai:
Energy-Efficient Secure Transmission for Wireless Powered Internet of Things With Multiple Power Beacons. IEEE Access 6: 75086-75098 (2018) - [j8]Ying Guo, Yida Wang, Xiaohua Ding:
Global exponential stability for multi-group neutral delayed systems based on Razumikhin method and graph theory. J. Frankl. Inst. 355(6): 3122-3144 (2018) - [j7]Yida Wang, Weihong Deng:
Generative Model With Coordinate Metric Learning for Object Recognition Based on 3D Models. IEEE Trans. Image Process. 27(12): 5813-5826 (2018) - [j6]Xiaohui Shang, Aijun Liu, Yida Wang, Qing Xie, Yong Wang:
Energy-Efficient Transmission Based on Direct Links: Toward Secure Cooperative Internet of Things. Wirel. Commun. Mob. Comput. 2018: 5012096:1-5012096:8 (2018) - [c24]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Adversarial Semantic Scene Completion from a Single Depth Image. 3DV 2018: 426-434 - [c23]Yida Wang, Changhai Zhao, Zengbo Wang, Chao Liu, Chao Li, Haihua Yan, Jiamin Wen:
HIDStore: A Hierarchical Intermediate Data Storage System for Seismic Processing Application. CLUSTER 2018: 145-149 - [c22]Yida Wang, Changhai Zhao, Zengbo Wang, Jiguo Du, Chao Liu, Haihua Yan, Jiamin Wen, Hongjun Hou, Kun Zhou:
MLB+-tree: A Multi-level B+-tree Index for Multidimensional Range Query on Seismic Data. ICSAI 2018: 1176-1181 - [c21]Yida Wang, Weiwei Yang, Xiaohui Shang, Yueming Cai:
Energy-Efficient Secure Transmission for UAV-enabled Wireless Powered Communication. WCSP 2018: 1-5 - [i5]Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li:
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs. CoRR abs/1807.09667 (2018) - [i4]Yizhi Liu, Yao Wang, Ruofei Yu, Mu Li, Vin Sharma, Yida Wang:
Optimizing CNN Model Inference on CPUs. CoRR abs/1809.02697 (2018) - [i3]Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari:
Adversarial Semantic Scene Completion from a Single Depth Image. CoRR abs/1810.10901 (2018) - 2017
- [j5]Yida Wang, Xinrong Guan, Weiwei Yang, Yueming Cai:
Performance Analysis of RSS-AoA-Based Key Generation Scheme for Mobile Wireless Nodes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(10): 2167-2171 (2017) - [j4]Zongli Jiang, Yida Wang:
融合稀疏因子的情感分析堆叠降噪自编码器模型 (Sentimental Analysis Stacked Denoising Auto-encoder with Sparse Factor). 计算机科学 44(12): 227-231 (2017) - [j3]Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack:
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13(3) (2017) - [c20]Yida Wang, Yang Song, Haibin Xie, Wenjing Li, Bingwen Hu, Guang Yang:
Reduction of Gibbs artifacts in magnetic resonance imaging based on Convolutional Neural Network. CISP-BMEI 2017: 1-5 - [c19]Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke:
High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors. ISC 2017: 120-138 - [c18]Xinsong Dong, Jianchao Zheng, Yueming Cai, Jihao Yang, Yida Wang:
Share communication and energy resources for mobile cloud computing: An optimal cooperative contract approach. WCSP 2017: 1-6 - [i2]Yida Wang, Weihong Deng:
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models. CoRR abs/1705.08590 (2017) - 2016
- [c17]Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c16]Yida Wang, Can Cui, Xiuzhuang Zhou, Weihong Deng:
ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models. ACCV (4) 2016: 456-471 - [c15]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData 2016: 1151-1160 - [c14]Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke:
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - [c13]Yida Wang, Weihong Deng:
Self-restraint object recognition by model based CNN learning. ICIP 2016: 654-658 - [c12]Yida Wang, Xinrong Guan, Yueming Cai:
The impacts of mobility on performance of physical layer secret key based on angle of arrival. WCSP 2016: 1-5 - [i1]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR abs/1608.04647 (2016) - 2015
- [c11]Yida Wang, Shasha Li, Jiani Hu, Weihong Deng:
Face Recognition Using Local PCA Filters. CCBR 2015: 35-42 - [c10]Mirjam Minor, Peter Clemens, Robert Dey, Rebecca Helmdach, Ingo Kemper, Tan Phat Nguyen, Michaela Pfeifer, Wilfried Röttgers, Patrick Schwarz, Yida Wang:
GIS-based sales support by company knowledge reuse in the telecommunications sector. GeNeMe 2015: 67-74 - [c9]Chao Li, Yida Wang, Changhai Zhao, Haihua Yan, Jianlei Zhang:
Parallel Kirchhoff Pre-Stack Depth Migration on Large High Performance Clusters. ICA3PP (3) 2015: 251-266 - [c8]Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke:
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC 2015: 23:1-23:12 - [c7]Chao Li, Yida Wang, Haihua Yan, Changhai Zhao, Jianlei Zhang:
High performance kirchhoff pre-stack depth: migration on hadoop. SpringSim (HPS) 2015: 158-165 - 2014
- [c6]Yida Wang, Chao Li, Yang Tian, Haihua Yan, Changhai Zhao, Jianlei Zhang:
A Parallel Algorithm of Kirchhoff Pre-stack Depth Migration Based on GPU. ICA3PP (2) 2014: 207-218
2000 – 2009
- 2009
- [c5]Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei Zhang, Wei-Ying Ma:
Incorporating site-level knowledge to extract structured data from web forums. WWW 2009: 181-190 - 2008
- [j2]Yida Wang, Ee-Peng Lim, San-Yih Hwang:
Efficient algorithms for mining maximal valid groups. VLDB J. 17(3): 515-535 (2008) - [c4]Yida Wang, Jiang-Ming Yang, Wei Lai, Rui Cai, Lei Zhang, Wei-Ying Ma:
Exploring traversal strategy for web forum crawling. SIGIR 2008: 459-466 - [c3]Rui Cai, Jiang-Ming Yang, Wei Lai, Yida Wang, Lei Zhang:
iRobot: an intelligent crawler for web forums. WWW 2008: 447-456 - 2006
- [j1]Yida Wang, Ee-Peng Lim, San-Yih Hwang:
Efficient mining of group patterns from user movement data. Data Knowl. Eng. 57(3): 240-282 (2006) - 2004
- [c2]Yida Wang, Ee-Peng Lim, San-Yih Hwang:
Efficient Group Pattern Mining Using Data Summarization. DASFAA 2004: 895-907 - 2003
- [c1]Yida Wang, Ee-Peng Lim, San-Yih Hwang:
On Mining Group Patterns of Mobile Users. DEXA 2003: 287-296
Coauthor Index