STAR: Generating input vectors for design validation by static analysis of RTL. - Lingyi Liu; Shobha Vasudevan (HLDVT, 2009)

Towards coverage closure: Using GoldMine assertions for generating design validation stimulus. - Lingyi Liu; David Sheridan; William Tuohy; Shobha Vasudevan (DATE, 2011)

Efficient validation input generation in RTL by hybridized source code analysis. - Lingyi Liu; Shobha Vasudevan (DATE, 2011)

Scaling probabilistic timing verification of hardware using abstractions in design source code. - Jayanand Asok Kumar; Lingyi Liu; Shobha Vasudevan (FMCAD, 2011)

Automatic generation of assertions from system level design using data mining. - Lingyi Liu; David Sheridan; Viraj Athavale; Shobha Vasudevan (MEMOCODE, 2011)

Word level feature discovery to enhance quality of assertion mining. - Lingyi Liu; Chen-Hsuan Lin 002; Shobha Vasudevan (ICCAD, 2012)

A Technique for Test Coverage Closure Using GoldMine. - Lingyi Liu; David Sheridan; William Tuohy; Shobha Vasudevan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012)

Generating concise assertions with complete coverage. - Chen-Hsuan Lin 002; Lingyi Liu; Shobha Vasudevan (ACM Great Lakes Symposium on VLSI, 2013)

Scaling RTL property checking using feasible path analysisand decomposition. - Lingyi Liu; Shobha Vasudevan (ACM Great Lakes Symposium on VLSI, 2013)

A Theoretical Model to Efficiently Transport YouBike. - Cheng-Chung Li; Lingyi Liu (GreenCom/iThings/CPScom, 2013)

Diagnosing root causes of system level performance violations. - Lingyi Liu; Xuanyu Zhong; Xiaotao Chen; Shobha Vasudevan (ICCAD, 2013)

A machine-to-machine based framework for diabetes lifestyle management. - Zhen Wei Zhao; Qiuran Ma; Cheng-Chung Li; Lingyi Liu; Wen-Ding Li (ICNSC, 2013)

Automatic Generation of System Level Assertions from Transaction Level Models. - Lingyi Liu; Shobha Vasudevan (J. Electron. Test., 2013)

Harmonizing data mining and static analysis to tackle hardware and system level verification - Lingyi Liu (2013)

A Coverage Guided Mining Approach for Automatic Generation of Succinct Assertions. - David Sheridan; Lingyi Liu; Hyungsul Kim; Shobha Vasudevan (VLSID, 2014)

Scaling Input Stimulus Generation through Hybrid Static and Dynamic Analysis of RTL. - Lingyi Liu; Shobha Vasudevan (ACM Trans. Design Autom. Electr. Syst., 2014)

Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multi-Scale Convolutional Network. - Lingyi Liu; Yunpeng Bai; Ying Li 017 (CoRR, 2020)

Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows. - Mahdi M. Kalayeh; Nagendra Kamath; Lingyi Liu; Ashok Chandrashekar (CoRR, 2021)

Detection of Deepfake Videos Using Long Distance Attention. - Wei Lu 001; Lingyi Liu; Junwei Luo; Xianfeng Zhao; Yicong Zhou; Jiwu Huang (CoRR, 2021)

On Negative Sampling for Audio-Visual Contrastive Learning from Movies. - Mahdi M. Kalayeh; Shervin Ardeshir; Lingyi Liu; Nagendra Kamath; Ashok Chandrashekar (CoRR, 2022)

Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multiscale Convolutional Network. - Lingyi Liu; Yunpeng Bai; Ying Li 017 (IEEE Geosci. Remote. Sens. Lett., 2022)

High-Performance Genomic Analysis Heterogeneous System Using OpenCL. - Jianing Gao; Lingyi Liu; Qin Wang 009; Naifeng Jing; Jianfei Jiang 001 (ASICON, 2023)

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. - Kabir Nagrecha; Lingyi Liu; Pablo Delgado; Prasanna Padmanabhan (RecSys, 2023)

Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks. - Zijie Huang; Baolin Li; Hafez Asgharzadeh; Anne Cocos; Lingyi Liu; Evan Cox; Colby Wise; Sudarshan Lamkhede (CoRR, 2023)

CLFR-Det: Cross-level feature refinement detector for tiny-ship detection in SAR images. - Lingyi Liu; Lei Fu; Yunfeng Zhang; Wenxi Ni; Bin Wu; Ying Li 017; Changjing Shang; Qiang Shen 001 (Knowl. Based Syst., 2024)

Detection of Deepfake Videos Using Long-Distance Attention. - Wei Lu 001; Lingyi Liu; Bolin Zhang; Junwei Luo; Xianfeng Zhao; Yicong Zhou; Jiwu Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Appearance- and Orientation-aware Fine-grained Rotated Ship Detection in High-Resolution Satellite Imagery. - Yan Li; Lingyi Liu; Yunpeng Bai; Ying Li 017; Qiang Shen 001 (ICASSP, 2025)

An Energy-Efficient CPU-FPGA Heterogeneous Acceleration System for Third-Generation Genomic Sequencing Based on Minimap2. - Jialei Sun; Lingyi Liu; Kunyue Li; Shuaipeng Li; Sai Gao; Zizheng Dong; Jianfei Jiang 001; Fangzhen Wu (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Reinforcement Learning for Intra- & Inter-Node Recommender Data Pipeline Optimization. - Kabir Nagrecha; Lingyi Liu; Pablo Delgado (Trans. Recomm. Syst., 2025)