A trajectory-based approach for object detection from video. - Chunhui Jiang; Guiying Li 002; Junlong Liu; Yunfeng Liu; Ke Tang 001 (IJCNN, 2016)

Relief Impression Image Detection : Unsupervised Extracting Objects Directly From Feature Arrangements of Deep CNN. - Guiying Li 002; Junlong Liu; Chunhui Jiang; Ke Tang 001 (CoRR, 2016)

Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection. - Guiying Li 002; Junlong Liu; Chunhui Jiang; Liangpeng Zhang; Minlong Lin; Ke Tang 001 (ISNN (1), 2017)

Dynamic and Adaptive Threshold for DNN Compression from Scratch. - Chunhui Jiang; Guiying Li 002; Chao Qian 001 (SEAL, 2017)

Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. - Chunhui Jiang; Guiying Li 002; Chao Qian 001; Ke Tang 001 (IJCAI, 2018)

Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. - Guiying Li 002; Chao Qian 001; Chunhui Jiang; Xiaofen Lu; Ke Tang 001 (IJCAI, 2018)

Distributed Pareto Optimization for Subset Selection. - Chao Qian 001; Guiying Li 002; Chao Feng 006; Ke Tang 001 (IJCAI, 2018)

Learning to Solve Capacitated Arc Routing Problems by Policy Gradient. - Han Li; Guiying Li 002 (CEC, 2019)

Accelerate proposal generation in R-CNN methods for fast pedestrian extraction. - Juncheng Wang; Guiying Li 002 (Electron. Libr., 2019)

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions. - Yunwen Lei; Ting Hu 002; Guiying Li 002; Ke Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing. - Jianqi Cao; Guiying Li 002; Peng Yang 008 (BIC-TA, 2022)

Enabling Surrogate-Assisted Evolutionary Reinforcement Learning via Policy Embedding. - Lan Tang; Xiaxi Li; Jinyuan Zhang; Guiying Li 002; Peng Yang 008; Ke Tang 001 (BIC-TA, 2022)

Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks. - Shun Lu 004; Cheng Chen; Kunlong Zhang; Yang Zheng; Zheng Hu; Wenjing Hong; Guiying Li 002; Xin Yao 001 (ICSI (2), 2023)

Reducing Idleness in Financial Cloud via Multi-objective Evolutionary Reinforcement Learning based Load Balancer. - Peng Yang 008; Laoming Zhang; Haifeng Liu; Guiying Li 002 (CoRR, 2023)

Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer. - Peng Yang 008; Laoming Zhang; Haifeng Liu; Guiying Li 002 (Sci. China Inf. Sci., 2024)

Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. - Guiying Li 002; Peng Yang 008; Chao Qian 001; Richang Hong; Ke Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hardware-Aware DNN Compression for Homogeneous Edge Devices. - Kunlong Zhang; Guiying Li 002; Ning Lu 006; Peng Yang 008; Ke Tang 001 (CoRR, 2025)

Causal Inference-Based Large-Scale Multiobjective Optimization. - Bingdong Li; Yanting Yang; Peng Yang 008; Guiying Li 002; Ke Tang 001; Aimin Zhou (IEEE Trans. Evol. Comput., 2025)