CCD: Locating Event in Wireless Sensor Network without Locations. - Shuo Lian; Yuan He; Jizhong Zhao (MASS, 2011)

Lazy Schema: An Optimal Sampling Frequency Assignment for Real-Time Sensor Systems. - Hui He; Jizhong Zhao; Yong Qi; Shuo Lian; Wei Xi (MSN, 2011)

Near-Optimal Diagnosis System Deployment in Wireless Sensor Networks. - Shuo Lian; Jizhong Zhao; Xu Zhao (Int. J. Distributed Sens. Networks, 2013)

Every Packet Counts: Fine-Grained Delay and Loss Measurement with Reordering. - Jiliang Wang; Shuo Lian; Wei Dong 001; Yunhao Liu 001; Xiang-Yang Li 001 (ICNP, 2014)

Stethoscope: A Sustainable Runtime Debugger for Wireless Sensor Networks. - Yuan He; Shuo Lian (ICPADS, 2015)

Event Localization and Actuation in Wireless Sensor Network without Locations. - Shuo Lian; Jizhong Zhao; Yuan He (Ad Hoc Sens. Wirel. Networks, 2015)

Error Scene Restoration with Runtime Logs of Wireless Sensor Networks. - Shuo Lian; Xiuzhen Guo; Zhenge Guo; Xu Zhao (MSN, 2016)

Every Packet Counts: Loss and Reordering Identification and Its Application in Delay Measurement. - Jiliang Wang; Shuo Lian; Wei Dong 001; Xiang-Yang Li 001; Yunhao Liu 001 (IEEE/ACM Trans. Netw., 2016)

L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. - Keith G. Mills; Fred X. Han; Mohammad Salameh; Seyed Saeed Changiz Rezaei; Linglong Kong; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. - Keith G. Mills; Fred X. Han; Jialin Zhang; Seyed Saeed Changiz Rezaei; Fabian Chudak; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

Generative Adversarial Neural Architecture Search. - Seyed Saeed Changiz Rezaei; Fred X. Han; Di Niu; Mohammad Salameh; Keith G. Mills; Shuo Lian; Wei Lu 023; Shangling Jui (IJCAI, 2021)

Exploring Neural Architecture Search Space via Deep Deterministic Sampling. - Keith G. Mills; Mohammad Salameh; Di Niu; Fred X. Han; Seyed Saeed Changiz Rezaei; Hengshuai Yao; Wei Lu 023; Shuo Lian; Shangling Jui (IEEE Access, 2021)

L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. - Keith G. Mills; Fred X. Han; Mohammad Salameh; Seyed Saeed Changiz Rezaei; Linglong Kong; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CoRR, 2021)

NRGAN: A Noise-resilient GAN with adaptive feature modulation for SAR image segmentation. - Shuo Lian; Jianchao Fan; Jun Wang 002 (Pattern Recognit., 2025)