Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren (CCPR, 2012)

Learning with Multiple Orientations and Scales for Face Recognition. - Chuan-Xian Ren; Dao-Qing Dai; Zhao-Rong Lai (CCPR, 2012)

Optimizing space utilization of file systems on PCM-based storage devices. - Yuan-Hao Chang 001; Tseng-Yi Chen; Yun-Jhu Chen; Hsin-Wen Wei; Wei-Kuan Shih; Zhao-Rong Lai (NVMSA, 2014)

Deadline-aware load balancing for MapReduce. - Zhao-Rong Lai; Che-Wei Chang; Xue Liu 001; Tei-Wei Kuo; Pi-Cheng Hsiu (RTCSA, 2014)

Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren; Ke-Kun Huang (IEEE Trans. Image Process., 2014)

Transfer Learning of Structured Representation for Face Recognition. - Chuan-Xian Ren; Dao-Qing Dai; Ke-Kun Huang; Zhao-Rong Lai (IEEE Trans. Image Process., 2014)

Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition. - Chuan-Xian Ren; Dao-Qing Dai; Xiao-Xin Li; Zhao-Rong Lai (IEEE Trans. Image Process., 2014)

Discriminative and Compact Coding for Robust Face Recognition. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren; Ke-Kun Huang (IEEE Trans. Cybern., 2015)

Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren; Ke-Kun Huang (IEEE Trans. Image Process., 2015)

Remote sensing image compression based on binary tree and optimized truncation. - Ke-Kun Huang; Hui Liu; Chuan-Xian Ren; Yu-Feng Yu 001; Zhao-Rong Lai (Digit. Signal Process., 2017)

Fusing landmark-based features at kernel level for face recognition. - Ke-Kun Huang; Dao-Qing Dai; Chuan-Xian Ren; Yu-Feng Yu 001; Zhao-Rong Lai (Pattern Recognit., 2017)

Quadtree coding with adaptive scanning order for space-borne image compression. - Hui Liu; Ke-Kun Huang; Chuan-Xian Ren; Yu-Feng Yu 001; Zhao-Rong Lai (Signal Process. Image Commun., 2017)

Learning Kernel Extended Dictionary for Face Recognition. - Ke-Kun Huang; Dao-Qing Dai; Chuan-Xian Ren; Zhao-Rong Lai (IEEE Trans. Neural Networks Learn. Syst., 2017)

Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension. - Liangda Fang; Hai Wan; Xianqiao Liu; Biqing Fang; Zhao-Rong Lai (AAAI, 2018)

Mixed-Copula VaR for Portfolio Risk Evaluation. - Lechuan Yin; Jiebin Chen; Zhao-Rong Lai (ICBK, 2018)

Selection of Market Window Size in Portfolio Strategies. - Jia-Yi Lie; Hong-Yu Duan; Yu-Luan Chen; Zhao-Rong Lai (ICEME, 2018)

A kernel-based trend pattern tracking system for portfolio optimization. - Zhao-Rong Lai; Pei-Yi Yang; Xiaotian Wu; Liangda Fang (Data Min. Knowl. Discov., 2018)

Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers. - Zhao-Rong Lai; Pei-Yi Yang; Liangda Fang; Xiaotian Wu (J. Mach. Learn. Res., 2018)

Trend representation based log-density regularization system for portfolio optimization. - Pei-Yi Yang; Zhao-Rong Lai; Xiaotian Wu; Liangda Fang (Pattern Recognit., 2018)

A Peak Price Tracking-Based Learning System for Portfolio Selection. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren; Ke-Kun Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Radial Basis Functions With Adaptive Input and Composite Trend Representation for Portfolio Selection. - Zhao-Rong Lai; Dao-Qing Dai; Chuan-Xian Ren; Ke-Kun Huang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. - Xuanxiang Huang; Kehang Fang; Liangda Fang; Qingliang Chen; Zhao-Rong Lai; Linfeng Wei (AAAI, 2019)

Random grid based color visual cryptography scheme for black and white secret images with general access structures. - Xiaotian Wu; Zhao-Rong Lai (Signal Process. Image Commun., 2019)

Automatic Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games. - Kaisheng Wu; Yong Qiao; Kaidong Chen; Fei Rong; Liangda Fang; Zhao-Rong Lai; Qian Dong; Liping Xiong (AAMAS, 2020)

Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers. - Kaisheng Wu; Liangda Fang; Liping Xiong; Zhao-Rong Lai; Yong Qiao; Kaidong Chen; Fei Rong (IJCAI, 2020)

Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization. - Zhao-Rong Lai; Liming Tan; Xiaotian Wu; Liangda Fang (J. Mach. Learn. Res., 2020)

Reweighted Price Relative Tracking System for Automatic Portfolio Optimization. - Zhao-Rong Lai; Pei-Yi Yang; Liangda Fang; Xiaotian Wu (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss. - Ke-Kun Huang; Chuan-Xian Ren; Hui Liu; Zhao-Rong Lai; Yu-Feng Yu 001; Dao-Qing Dai (Pattern Recognit., 2021)

Knowledge Compilation Meets Logical Separability. - Junming Qiu; Wenqing Li; Zhanhao Xiao; Quanlong Guan; Liangda Fang; Zhao-Rong Lai; Qian Dong (AAAI, 2022)

Echo state neural network-assisted mobility-aware seamless handoff in mobile WSNs. - Qian Dong; Zhao-Rong Lai; Mi Lu (Ad Hoc Networks, 2022)

Study of RSSI Accuracy for Outdoor Sensor Localization. - Qian Dong; Jinbao Xia; Feng Zhu; Zhao-Rong Lai; Yanning Cai; Liangda Fang; Mi Lu (J. Circuits Syst. Comput., 2022)

Molecular substructure graph attention network for molecular property identification in drug discovery. - Xianbin Ye; Quanlong Guan; Weiqi Luo 002; Liangda Fang; Zhao-Rong Lai; Jun Wang 123 (Pattern Recognit., 2022)

Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter. - Ke-Kun Huang; Chuan-Xian Ren; Hui Liu; Zhao-Rong Lai; Yu-Feng Yu 001; Dao-Qing Dai (IEEE Trans. Cybern., 2022)

Globally optimal solutions to a class of fractional optimization problems based on proximity gradient algorithm. - Yizun Lin; Zhao-Rong Lai; Cheng Li 018 (CoRR, 2023)

An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update. - Quanlong Guan; Tong Zhu; Liangda Fang; Junming Qiu; Zhao-Rong Lai; Weiqi Luo 002 (CoRR, 2023)

Variants of Tagged Sentential Decision Diagrams. - Deyuan Zhong; Mingwei Zhang; Quanlong Guan; Liangda Fang; Zhao-Rong Lai; Yong Lai 001 (CoRR, 2023)

A Survey on Gaps between Mean-Variance Approach and Exponential Growth Rate Approach for Portfolio Optimization. - Zhao-Rong Lai; Haisheng Yang (ACM Comput. Surv., 2023)

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. - Ziliang Chen 001; Yongsen Zheng; Zhao-Rong Lai; Quanlong Guan; Liang Lin (AAAI, 2024)

Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. - Quanlong Guan; Jinneng He; Zhao-Rong Lai; Yuyu Zhou; Quming Jiang; Ziliang Chen 001 (CSCWD, 2024)

Invariant Risk Minimization Is A Total Variation Model. - Zhao-Rong Lai; Weiwen Wang 001 (ICML, 2024)

Autonomous Sparse Mean-CVaR Portfolio Optimization. - Yizun Lin; Yangyu Zhang; Zhao-Rong Lai; Cheng Li 018 (ICML, 2024)

On the Logic of Theory Change Iteration of KM-Update, Revised. - Liangda Fang; Tong Zhu; Quanlong Guan; Junming Qiu; Zhao-Rong Lai; Weiqi Luo 002; Hai Wan (IJCAI, 2024)

A De-singularity Subgradient Approach for the Extended Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001 (IJCAI, 2024)

A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization. - Yizun Lin; Zhao-Rong Lai; Cheng Li 018 (NeurIPS, 2024)

A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level. - Yizun Lin; Yongxin He; Zhao-Rong Lai (CoRR, 2024)

De-singularity Subgradient for the q-th-Powered ℓp-Norm Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001; Cheng Li 018 (CoRR, 2024)

Sparse-structured time-varying parameter vector autoregression for high-dimensional network connectedness measurement. - Zhao-Rong Lai; Liming Tan; Shaoling Chen; Haisheng Yang (Expert Syst. Appl., 2024)

Multitrend Conditional Value at Risk for Portfolio Optimization. - Zhao-Rong Lai; Cheng Li 018; Xiaotian Wu; Quanlong Guan; Liangda Fang (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the role of logical separability in knowledge compilation. - Junming Qiu; Wenqing Li; Liangda Fang; Quanlong Guan; Zhanhao Xiao; Zhao-Rong Lai; Qian Dong (Artif. Intell., 2024)

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. - Zhao-Rong Lai; Xiaotian Wu; Liangda Fang; Ziliang Chen 001; Cheng Li 018 (AAAI, 2025)

Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization. - Yuanchao Wang; Zhao-Rong Lai; Tianqi Zhong (ICLR, 2025)

Autonomous sparse Markowitz portfolio based on two-stage accelerated forward-backward algorithm. - Yizun Lin; Linhui Wang; Zhao-Rong Lai (Expert Syst. Appl., 2025)