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ORCIDLingyi Liu
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Books and Theses
- 2013
[b1]Lingyi Liu:
Harmonizing data mining and static analysis to tackle hardware and system level verification. University of Illinois Urbana-Champaign, USA, 2013
Journal Articles
- 2024
- [j6]Lingyi Liu, Lei Fu, Yunfeng Zhang, Wenxi Ni, Bin Wu, Ying Li, Changjing Shang
, Qiang Shen:
CLFR-Det: Cross-level feature refinement detector for tiny-ship detection in SAR images. Knowl. Based Syst. 284: 111284 (2024) - [j5]Wei Lu, Lingyi Liu, Bolin Zhang, Junwei Luo, Xianfeng Zhao, Yicong Zhou, Jiwu Huang:
Detection of Deepfake Videos Using Long-Distance Attention. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9366-9379 (2024) - 2022
- [j4]Lingyi Liu, Yunpeng Bai, Ying Li:
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multiscale Convolutional Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2014
- [j3]Lingyi Liu, Shobha Vasudevan:
Scaling Input Stimulus Generation through Hybrid Static and Dynamic Analysis of RTL. ACM Trans. Design Autom. Electr. Syst. 20(1): 4:1-4:33 (2014) - 2013
- [j2]Lingyi Liu, Shobha Vasudevan:
Automatic Generation of System Level Assertions from Transaction Level Models. J. Electron. Test. 29(5): 669-684 (2013) - 2012
- [j1]Lingyi Liu, David Sheridan, William Tuohy, Shobha Vasudevan:
A Technique for Test Coverage Closure Using GoldMine. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(5): 790-803 (2012)
Conference and Workshop Papers
- 2023
- [c14]Jianing Gao, Lingyi Liu, Qin Wang, Naifeng Jing, Jianfei Jiang:
High-Performance Genomic Analysis Heterogeneous System Using OpenCL. ASICON 2023: 1-4 - [c13]Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan:
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. RecSys 2023: 430-442 - 2014
- [c12]David Sheridan, Lingyi Liu, Hyungsul Kim, Shobha Vasudevan:
A Coverage Guided Mining Approach for Automatic Generation of Succinct Assertions. VLSID 2014: 68-73 - 2013
- [c11]Lingyi Liu, Shobha Vasudevan:
Scaling RTL property checking using feasible path analysisand decomposition. ACM Great Lakes Symposium on VLSI 2013: 173-178 - [c10]Chen-Hsuan Lin, Lingyi Liu, Shobha Vasudevan:
Generating concise assertions with complete coverage. ACM Great Lakes Symposium on VLSI 2013: 185-190 - [c9]Cheng-Chung Li, Lingyi Liu:
A Theoretical Model to Efficiently Transport YouBike. GreenCom/iThings/CPScom 2013: 716-719 - [c8]Lingyi Liu, Xuanyu Zhong, Xiaotao Chen, Shobha Vasudevan:
Diagnosing root causes of system level performance violations. ICCAD 2013: 295-302 - [c7]Zhen Wei Zhao, Qiuran Ma, Cheng-Chung Li, Lingyi Liu, Wen-Ding Li:
A machine-to-machine based framework for diabetes lifestyle management. ICNSC 2013: 562-567 - 2012
- [c6]Lingyi Liu, Chen-Hsuan Lin, Shobha Vasudevan:
Word level feature discovery to enhance quality of assertion mining. ICCAD 2012: 210-217 - 2011
- [c5]Lingyi Liu, David Sheridan, William Tuohy, Shobha Vasudevan:
Towards coverage closure: Using GoldMine assertions for generating design validation stimulus. DATE 2011: 173-178 - [c4]Lingyi Liu, Shobha Vasudevan:
Efficient validation input generation in RTL by hybridized source code analysis. DATE 2011: 1596-1601 - [c3]Jayanand Asok Kumar, Lingyi Liu, Shobha Vasudevan:
Scaling probabilistic timing verification of hardware using abstractions in design source code. FMCAD 2011: 196-205 - [c2]Lingyi Liu, David Sheridan, Viraj Athavale, Shobha Vasudevan:
Automatic generation of assertions from system level design using data mining. MEMOCODE 2011: 191-200 - 2009
- [c1]Lingyi Liu, Shobha Vasudevan:
STAR: Generating input vectors for design validation by static analysis of RTL. HLDVT 2009: 32-37
Informal and Other Publications
- 2023
- [i6]Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan:
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. CoRR abs/2308.08500 (2023) - [i5]Zijie Huang, Baolin Li, Hafez Asgharzadeh, Anne Cocos, Lingyi Liu, Evan Cox, Colby Wise, Sudarshan Lamkhede:
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks. CoRR abs/2312.04071 (2023) - 2022
- [i4]Mahdi M. Kalayeh, Shervin Ardeshir, Lingyi Liu, Nagendra Kamath, Ashok Chandrashekar:
On Negative Sampling for Audio-Visual Contrastive Learning from Movies. CoRR abs/2205.00073 (2022) - 2021
- [i3]Mahdi M. Kalayeh, Nagendra Kamath, Lingyi Liu, Ashok Chandrashekar:
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows. CoRR abs/2106.08513 (2021) - [i2]Wei Lu, Lingyi Liu, Junwei Luo, Xianfeng Zhao, Yicong Zhou, Jiwu Huang:
Detection of Deepfake Videos Using Long Distance Attention. CoRR abs/2106.12832 (2021) - 2020
- [i1]Lingyi Liu, Yunpeng Bai, Ying Li:
Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network. CoRR abs/2007.12326 (2020)
Coauthor Index
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