Greedy local-set based sampling and reconstruction for band-limited graph signals. - Lishan Yang; Wenbin Guo (ICT, 2016)

Clustering based downsampling and reconstruction for band-limited graph signal. - Lishan Yang; Wenbin Guo (ICT, 2016)

Bandlimited graph signal reconstruction by diffusion operator. - Lishan Yang; Kangyong You; Wenbin Guo (EURASIP J. Adv. Signal Process., 2016)

Erratum to: Bandlimited graph signal reconstruction by diffusion operator. - Lishan Yang; Kangyong You; Wenbin Guo (EURASIP J. Adv. Signal Process., 2017)

Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications. - Bin Nie; Lishan Yang; Adwait Jog; Evgenia Smirni (MICRO, 2018)

G-NET: Effective GPU Sharing in NFV Systems. - Kai Zhang 006; Bingsheng He; Jiayu Hu; Ze-ke Wang; Bei Hua; Jiayi Meng; Lishan Yang (NSDI, 2018)

Evaluating Scalability and Performance of a Security Management Solution in Large Virtualized Environments. - Lishan Yang; Ludmila Cherkasova; Rajeev Badgujar; Jack Blancaflor; Rahul Konde; Jason Mills; Evgenia Smirni (ICPE, 2018)

Spatiotemporal Smoothness-based Graph Learning Method for Sensor Networks. - Yueliang Liu; Lishan Yang; Wenbin Guo; Tao Peng 001; Wenbo Wang 007 (WCNC, 2019)

Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal. - Yueliang Liu; Lishan Yang; Kangyong You; Wenbin Guo; Wenbo Wang 007 (IEEE Access, 2019)

Simulating COVID-19 containment measures using the South Korean patient data: poster abstract. - Lishan Yang; Anna Schmedding; Riccardo Pinciroli; Evgenia Smirni (SenSys, 2020)

The Life and Death of SSDs and HDDs: Similarities, Differences, and Prediction Models. - Riccardo Pinciroli; Lishan Yang; Jacob Alter; Evgenia Smirni (CoRR, 2020)

Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data. - Anna Schmedding; Lishan Yang; Riccardo Pinciroli; Evgenia Smirni (CoRR, 2020)

Enabling Software Resilience in GPGPU Applications via Partial Thread Protection. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (ICSE, 2021)

SUGAR: Speeding Up GPGPU Application Resilience Estimation with Input Sizing. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Practical Resilience Analysis of GPGPU Applications in the Presence of Single- and Multi-Bit Faults. - Lishan Yang; Bin Nie; Adwait Jog; Evgenia Smirni (IEEE Trans. Computers, 2021)

Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System. - Xugui Zhou; Anna Schmedding; Haotian Ren; Lishan Yang; Philip Schowitz; Evgenia Smirni; Homa Alemzadeh (DSN, 2022)

GeoSpread: an Epidemic Spread Modeling Tool for COVID-19 Using Mobility Data. - Anna Schmedding; Lishan Yang; Riccardo Pinciroli; Evgenia Smirni (GoodIT, 2022)

Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience. - Bohan Zhang; Lishan Yang; Guanpeng Li; Hui Xu 009 (DSN-S, 2023)

Energy-Balancing Data Acquisition Strategy by Employing Graph Signal Sampling-set Rotation Method for Edge Computing Enabled Industrial Internet of Things. - Lishan Yang; Chenglin Bai; Hengying Xu; Yining Zhang; Guizhen Wang (SPCNC, 2023)

Lifespan and Failures of SSDs and HDDs: Similarities, Differences, and Prediction Models. - Riccardo Pinciroli; Lishan Yang; Jacob Alter; Evgenia Smirni (IEEE Trans. Dependable Secur. Comput., 2023)

Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data. - Anna Schmedding; Riccardo Pinciroli; Lishan Yang; Evgenia Smirni (IEEE Trans. Big Data, 2023)

Constructing a Knowledge-Guided Mental Health Chatbot with LLMs. - Xi Fan; Lishan Yang; Xiangyu Wang 016; Derui Lyu; Huanhuan Chen (ACML, 2024)

Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. - Yutong Qu; Jian Yang; Weitong Chen; Yan Jiao; Lishan Yang; Congbo Ma (ADMA (2), 2024)

Efficient Clustered Federated Learning by Locality Sensitive Hashing. - Lishan Yang; Alireza Seyed Shakeri; Liangxi Pu; Weitong Chen; Yanjun Shu (ADMA (2), 2024)

GPU Reliability Assessment: Insights Across the Abstraction Layers. - Lishan Yang; George Papadimitriou 001; Dimitris Sartzetakis; Adwait Jog; Evgenia Smirni; Dimitris Gizopoulos (CLUSTER, 2024)

A Dual-module Framework for Counterfactual Estimation over Time. - Xin Wang 179; Shengfei Lyu; Lishan Yang; Yibing Zhan; Huanhuan Chen (ICML, 2024)

Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. - Ali Shakeri 003; Perry Chen; Yanjun Shu; Lishan Yang; Wei Emma Zhang; Weitong Chen 001 (ICWS, 2024)

Probing Weaknesses in GPU Reliability Assessment: A Cross-Layer Approach. - Lishan Yang; George Papadimitriou 001; Dimitrios Sartzetakis; Adwait Jog; Evgenia Smirni; Dimitris Gizopoulos (ISPASS, 2024)

Aspis: Lightweight Neural Network Protection Against Soft Errors. - Anna Schmedding; Lishan Yang; Adwait Jog; Evgenia Smirni (ISSRE, 2024)

Strategic Resilience Evaluation of Neural Networks Within Autonomous Vehicle Software. - Anna Schmedding; Philip Schowitz; Xugui Zhou; Yiyang Lu; Lishan Yang; Homa Alemzadeh; Evgenia Smirni (SAFECOMP, 2024)

PrisonBreak: Jailbreaking Large Language Models with Fewer Than Twenty-Five Targeted Bit-flips. - Zachary Coalson; Jeonghyun Woo; Shiyang Chen 004; Yu Sun; Lishan Yang; Prashant J. Nair; Bo Fang 002; Sanghyun Hong 001 (CoRR, 2024)

Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System. - Cheng Chen; Grant Xiao; Daehyun Lee; Lishan Yang; Evgenia Smirni; Homa Alemzadeh; Xugui Zhou (DSN, 2025)

FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. - Ali Shakeri 003; Wei Emma Zhang; Amin Beheshti; Weitong Chen 001; Jian Yang 001; Lishan Yang (PAKDD (5), 2025)

ACM SIGMETRICS 2024 Student Research Competition. - Nicolas Gast; Lishan Yang (SIGMETRICS Perform. Evaluation Rev., 2025)

Event extraction based on self-data augmentation with large language models. - Lishan Yang; Xi Fan; Xiangyu Wang 016; Xin Wang 179; Qiuju Chen (Memetic Comput., 2025)

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. - Lishan Yang; Wei Zhang 098; Quan Z. Sheng; Weitong Chen 001; Lina Yao 001; Weitong Chen 001; Ali Shakeri 003 (CoRR, 2025)

Understanding the Landscape of Ampere GPU Memory Errors. - Zhu Zhu; Yu Sun; Dhatri Parakal; Bo Fang 002; Steven Farrell; Gregory H. Bauer; Brett M. Bode; Ian T. Foster; Michael E. Papka; William Gropp; Zhao Zhang 007; Lishan Yang (CoRR, 2025)