A pareto-optimal runtime power budgeting scheme for many-core systems. - Xiaohang Wang 001; Baoxin Zhao; Ling Wang 005; Terrence S. T. Mak; Mei Yang 001; Yingtao Jiang; Masoud Daneshtalab (Microprocess. Microsystems, 2016)

Pysubsim-tree: A package for simulating tumor genomes according to tumor evolution history. - Yan-Shuo Chu; Ling Wang 005; Rongjie Wang; Mingxiang Teng; Yadong Wang 001 (BIBM, 2017)

ABDTR: Approximation-Based Dynamic Traffic Regulation for Networks-on-Chip Systems. - Ling Wang 005; Xiaohang Wang 001; Yadong Wang 001 (ICCD, 2017)

A Network-on-Chip Accelerator for Genome Variant Analysis. - Ling Wang 005; Yadong Wang 001 (BIBM, 2018)

A Fault-Tolerant Routing Algorithm Using Tunnels in Fault Blocks for Network-on-Chip. - Ling Wang 005; Terrence S. T. Mak (J. Circuits Syst. Comput., 2018)

Sample-Efficient Policy Learning based on Completely Behavior Cloning. - Qiming Zou; Ling Wang 005; Yu Li; Jie Liu 001 (SMC, 2019)

An Approximate Bufferless Network-on-Chip. - Ling Wang 005; Xiaohang Wang 001; Yadong Wang 001 (IEEE Access, 2019)

Model Embedded DRL for Intelligent Greenhouse Control. - Tinghao Zhang; Jingxu Li; Jingfeng Li; Ling Wang 005; Feng Li; Jie Liu 001 (CoRR, 2019)

An Approximate Multiplane Network-on-Chip. - Ling Wang 005; Yadong Wang 001; Xiaohang Wang 001 (DATE, 2020)

Deep Learning Defense Method Against Adversarial Attacks. - Ling Wang 005; Cheng Zhang; Jie Liu 001 (SMC, 2020)

Fourier Transform to Group Feature on Generated Coarser Contours for Fast 2D Shape Matching. - Yan Zheng; Fanjie Meng; Jie Liu 001; Baolong Guo 001; Yang Song 001; Xuebing Zhang; Ling Wang 005 (IEEE Access, 2020)

Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things. - Ling Wang 005; Cheng Zhang; Zejian Luo; Chenguang Liu; Jie Liu 001; Xi Zheng 001; Athanasios V. Vasilakos (CoRR, 2020)

PDAAA: Progressive Defense Against Adversarial Attacks for Deep Learning-as-a-Service in Internet of Things. - Ling Wang 005; Cheng Zhang; Zejian Luo; Chenguang Liu; Jie Liu 001; Xi Zheng 001 (TrustCom, 2021)

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? - Isaac Ronald Ward; Ling Wang 005; Juan Lu; Mohammed Bennamoun; Girish Dwivedi; Frank M. Sanfilippo (Comput. Methods Programs Biomed., 2021)

Chapter Six - Approximate communication for energy-efficient network-on-chip. - Ling Wang 005; Xiaohang Wang 001 (Adv. Comput., 2022)

An EnKF-LSTM Assimilation Algorithm for Crop Growth Model. - Siqi Zhou; Ling Wang 005; Jie Liu 001; Jinshan Tang (CoRR, 2024)

ViST: A Ubiquitous Model with Multimodal Fusion for Crop Growth Prediction. - Junsheng Li; Ling Wang 005; Jie Liu 001; Jinshan Tang (ACM Trans. Sens. Networks, 2024)