Zhao-Rong Lai

63 papers A* 14A 1B 1C 1Journal 41Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Environment-Conditioned Tail Reweighting for Total Variation Invariant Risk Minimization.
CoRR
Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong, Fengnan Li
2026 J jnl
Logarithmic-exponential utility for portfolio optimization.
Expert Syst. Appl.
Cheng Li, Yizun Lin, Zhao-Rong Lai
2025 J jnl
An Exhaustive DPLL Approach to Model Counting over Integer Linear Constraints with Simplification Techniques.
CoRR
Mingwei Zhang, Zhenhao Gu, Liangda Fang, Cunjing Ge, Ziliang Chen, Zhao-Rong Lai, Quanlong Guan
2025 J jnl
Autonomous sparse Markowitz portfolio based on two-stage accelerated forward-backward algorithm.
Expert Syst. Appl.
Yizun Lin, Linhui Wang, Zhao-Rong Lai
2025 A* conf
De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem.
AAAI
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li
2025 A* conf
Language Models as Implicit Tree Search.
ICML
Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin
2025 A* conf
Linear Trading Position with Sparse Spectrum.
IJCAI
Zhao-Rong Lai, Haisheng Yang
2025 J jnl
Linear Trading Position with Sparse Spectrum.
CoRR
Zhao-Rong Lai, Haisheng Yang
2025 A* conf
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization.
ICLR
Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong
2025 J jnl
Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization.
CoRR
Yuanchao Wang, Zhao-Rong Lai, Tianqi Zhong
2024 A* conf
A De-singularity Subgradient Approach for the Extended Weber Location Problem.
IJCAI
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
2024 J jnl
A De-singularity Subgradient Approach for the Extended Weber Location Problem.
CoRR
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen
2024 A* conf
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization.
NeurIPS
Yizun Lin, Zhao-Rong Lai, Cheng Li
2024 J jnl
A Krasnoselskii-Mann Proximity Algorithm for Markowitz Portfolios with Adaptive Expected Return Level.
CoRR
Yizun Lin, Yongxin He, Zhao-Rong Lai
2024 A* conf
Autonomous Sparse Mean-CVaR Portfolio Optimization.
ICML
Yizun Lin, Yangyu Zhang, Zhao-Rong Lai, Cheng Li
2024 J jnl
Autonomous Sparse Mean-CVaR Portfolio Optimization.
CoRR
Yizun Lin, Yangyu Zhang, Zhao-Rong Lai, Cheng Li
2024 J jnl
De-singularity Subgradient for the
CoRR
Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li
2024 A* conf
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.
AAAI
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2024 A* conf
Invariant Risk Minimization Is A Total Variation Model.
ICML
Zhao-Rong Lai, Weiwen Wang
2024 J jnl
Invariant Risk Minimization Is A Total Variation Model.
CoRR
Zhao-Rong Lai, Weiwen Wang
2024 J jnl
Multitrend Conditional Value at Risk for Portfolio Optimization.
IEEE Trans. Neural Networks Learn. Syst.
Zhao-Rong Lai, Cheng Li, Xiaotian Wu, Quanlong Guan, Liangda Fang
2024 A* conf
On the Logic of Theory Change Iteration of KM-Update, Revised.
IJCAI
Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan
2024 J jnl
On the role of logical separability in knowledge compilation.
Artif. Intell.
Junming Qiu, Wenqing Li, Liangda Fang, Quanlong Guan, Zhanhao Xiao, Zhao-Rong Lai, Qian Dong
2024 C conf
Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate.
CSCWD
Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen
2024 J jnl
Sparse-structured time-varying parameter vector autoregression for high-dimensional network connectedness measurement.
Expert Syst. Appl.
Zhao-Rong Lai, Liming Tan, Shaoling Chen, Haisheng Yang
2023 J jnl
A Survey on Gaps between Mean-Variance Approach and Exponential Growth Rate Approach for Portfolio Optimization.
ACM Comput. Surv.
Zhao-Rong Lai, Haisheng Yang
2023 J jnl
An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update.
CoRR
Quanlong Guan, Tong Zhu, Liangda Fang, Junming Qiu, Zhao-Rong Lai, Weiqi Luo
2023 J jnl
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.
CoRR
Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
2023 J jnl
Globally optimal solutions to a class of fractional optimization problems based on proximity gradient algorithm.
CoRR
Yizun Lin, Zhao-Rong Lai, Cheng Li
2023 J jnl
Variants of Tagged Sentential Decision Diagrams.
CoRR
Deyuan Zhong, Mingwei Zhang, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Yong Lai
2022 J jnl
Echo state neural network-assisted mobility-aware seamless handoff in mobile WSNs.
Ad Hoc Networks
Qian Dong, Zhao-Rong Lai, Mi Lu
2022 J jnl
Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter.
IEEE Trans. Cybern.
Ke-Kun Huang, Chuan-Xian Ren, Hui Liu, Zhao-Rong Lai, Yu-Feng Yu, Dao-Qing Dai
2022 A* conf
Knowledge Compilation Meets Logical Separability.
AAAI
Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong
2022 J jnl
Molecular substructure graph attention network for molecular property identification in drug discovery.
Pattern Recognit.
Xianbin Ye, Quanlong Guan, Weiqi Luo, Liangda Fang, Zhao-Rong Lai, Jun Wang
2022 J jnl
Study of RSSI Accuracy for Outdoor Sensor Localization.
J. Circuits Syst. Comput.
Qian Dong, Jinbao Xia, Feng Zhu, Zhao-Rong Lai, Yanning Cai, Liangda Fang, Mi Lu
2021 J jnl
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss.
Pattern Recognit.
Ke-Kun Huang, Chuan-Xian Ren, Hui Liu, Zhao-Rong Lai, Yu-Feng Yu, Dao-Qing Dai
2020 A* conf
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers.
IJCAI
Kaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong
2020 A conf
Automatic Synthesis of Generalized Winning Strategy of Impartial Combinatorial Games.
AAMAS
Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang, Zhao-Rong Lai, Qian Dong, Liping Xiong
2020 J jnl
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization.
J. Mach. Learn. Res.
Zhao-Rong Lai, Liming Tan, Xiaotian Wu, Liangda Fang
2020 J jnl
Reweighted Price Relative Tracking System for Automatic Portfolio Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, Xiaotian Wu
2019 A* conf
Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions.
AAAI
Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei
2019 J jnl
Random grid based color visual cryptography scheme for black and white secret images with general access structures.
Signal Process. Image Commun.
Xiaotian Wu, Zhao-Rong Lai
2018 J jnl
A Peak Price Tracking-Based Learning System for Portfolio Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang
2018 J jnl
A kernel-based trend pattern tracking system for portfolio optimization.
Data Min. Knowl. Discov.
Zhao-Rong Lai, Pei-Yi Yang, Xiaotian Wu, Liangda Fang
2018 A* conf
Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension.
AAAI
Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhao-Rong Lai
2018 — conf
Mixed-Copula VaR for Portfolio Risk Evaluation.
ICBK
Lechuan Yin, Jiebin Chen, Zhao-Rong Lai
2018 J jnl
Radial Basis Functions With Adaptive Input and Composite Trend Representation for Portfolio Selection.
IEEE Trans. Neural Networks Learn. Syst.
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang
2018 — conf
Selection of Market Window Size in Portfolio Strategies.
ICEME
Jia-Yi Lie, Hong-Yu Duan, Yu-Luan Chen, Zhao-Rong Lai
2018 J jnl
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers.
J. Mach. Learn. Res.
Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, Xiaotian Wu
2018 J jnl
Trend representation based log-density regularization system for portfolio optimization.
Pattern Recognit.
Pei-Yi Yang, Zhao-Rong Lai, Xiaotian Wu, Liangda Fang
2017 J jnl
Fusing landmark-based features at kernel level for face recognition.
Pattern Recognit.
Ke-Kun Huang, Dao-Qing Dai, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai
2017 J jnl
Learning Kernel Extended Dictionary for Face Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Ke-Kun Huang, Dao-Qing Dai, Chuan-Xian Ren, Zhao-Rong Lai
2017 J jnl
Quadtree coding with adaptive scanning order for space-borne image compression.
Signal Process. Image Commun.
Hui Liu, Ke-Kun Huang, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai
2017 J jnl
Remote sensing image compression based on binary tree and optimized truncation.
Digit. Signal Process.
Ke-Kun Huang, Hui Liu, Chuan-Xian Ren, Yu-Feng Yu, Zhao-Rong Lai
2015 J jnl
Discriminative and Compact Coding for Robust Face Recognition.
IEEE Trans. Cybern.
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang
2015 J jnl
Multiscale Logarithm Difference Edgemaps for Face Recognition Against Varying Lighting Conditions.
IEEE Trans. Image Process.
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang
2014 J jnl
Band-Reweighed Gabor Kernel Embedding for Face Image Representation and Recognition.
IEEE Trans. Image Process.
Chuan-Xian Ren, Dao-Qing Dai, Xiao-Xin Li, Zhao-Rong Lai
2014 B conf
Deadline-aware load balancing for MapReduce.
RTCSA
Zhao-Rong Lai, Che-Wei Chang, Xue Liu, Tei-Wei Kuo, Pi-Cheng Hsiu
2014 J jnl
Multilayer Surface Albedo for Face Recognition With Reference Images in Bad Lighting Conditions.
IEEE Trans. Image Process.
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren, Ke-Kun Huang
2014 — conf
Optimizing space utilization of file systems on PCM-based storage devices.
NVMSA
Yuan-Hao Chang, Tseng-Yi Chen, Yun-Jhu Chen, Hsin-Wen Wei, Wei-Kuan Shih, Zhao-Rong Lai
2014 J jnl
Transfer Learning of Structured Representation for Face Recognition.
IEEE Trans. Image Process.
Chuan-Xian Ren, Dao-Qing Dai, Ke-Kun Huang, Zhao-Rong Lai
2012 — conf
Face Recognition under Variable Illumination by Weighted-Subband Edge Enhancement.
CCPR
Zhao-Rong Lai, Dao-Qing Dai, Chuan-Xian Ren
2012 — conf
Learning with Multiple Orientations and Scales for Face Recognition.
CCPR
Chuan-Xian Ren, Dao-Qing Dai, Zhao-Rong Lai