SD-ICN: An interoperable deployment framework for software-defined information-centric networks. - Jinfan Wang; Wei Gao; Yuqing Liang; Rui Qin; Jianping Wang 001; Shucheng Liu (INFOCOM Workshops, 2014)

High Bit Rate Pulse Position Modulation Signal Generation Based on Rare-Earth-Doped Crystals. - Xiurong Ma; Song Wang; Shuanggen Zhang; Shiyu Zhang; Yuqing Liang (IEEE Commun. Lett., 2015)

A Symmetric Dual-Attention Generative Adversarial Network with Channel and Spatial Features Fusion. - Jiaming Zhang; Xinfeng Zhang 002; Bo Zhang; Maoshen Jia; Yuqing Liang; Yitian Zhang (ICCPR, 2022)

Trouble Maker: Truth or Dare Prompt Generator Based on Markov Chain. - Yibo Fu; Yuqing Liang; Harpreet Sareen (CHI PLAY (Companion), 2023)

Government policies for e-commerce supply chain with fairness concerns towards sustainable remanufacturing. - Yanting Huang; Sijia Liu; Yuqing Liang (Kybernetes, 2023)

Stochastic momentum methods for non-convex learning without bounded assumptions. - Yuqing Liang; Jinlan Liu; Dongpo Xu (Neural Networks, 2023)

Watermarking Techniques for Large Language Models: A Survey. - Yuqing Liang; Jiancheng Xiao; Wensheng Gan; Philip S. Yu (CoRR, 2024)

Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization. - Yuqing Liang; Yang Yang; Jinlan Liu; Dongpo Xu (Neural Networks, 2024)

mPage: Probabilistic Gradient Estimator With Momentum for Non-Convex Optimization. - Yuqing Liang; Hui Su; Jinlan Liu; Dongpo Xu (IEEE Trans. Signal Process., 2024)

ABNGrad: adaptive step size gradient descent for optimizing neural networks. - Wenhan Jiang; Yuqing Liang; Zhixia Jiang; Dongpo Xu; Linhua Zhou (Appl. Intell., 2024)

Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. - Yuqing Liang; Dongpo Xu; Naimin Zhang; Danilo P. Mandic (Optim. Lett., 2024)

Convergence of Adam for non-convex objectives: relaxed hyperparameters and non-ergodic case. - Yuqing Liang; Meixuan He; Jinlan Liu; Dongpo Xu (Mach. Learn., 2025)

A robust stochastic quasi-Newton algorithm for non-convex machine learning. - Hanger Liu; Yuqing Liang; Jinlan Liu; Dongpo Xu (Appl. Intell., 2025)

Bio-inspired model for oil production prediction: combining gene regulation-based optimization and radial basis function network. - Bao Liu; Yuqing Liang; Zirun Zhu; Lei Gao (Memetic Comput., 2025)