Shijia Wang

37 papers A* 2A 2B 1Journal 29Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following.
CoRR
Da Guo, Shijia Wang, Qiang Xiao, Yintao Ren, Weisheng Li, Songpei Xu, Ming Yue, Bin Huang, Guanlin Wu, Chuanjiang Luo
2026 J jnl
Hierarchical game interaction augmenter: Enhancing multi-agent trajectory prediction in competitive and cooperative sports.
Neural Networks
Shijia Wang, Bowen Zhou, Tianyi Liu, Siyuan Yang, Hamid Reza Karimi
2026 J jnl
Integrating causal-context-aware teammate modeling with risk-constrained online planning for meta reinforcement learning in Ad Hoc teamwork.
Knowl. Based Syst.
Shijia Wang, Jiao Wang, Siyuan Yang, Hongchen Luo
2026 J jnl
Poisson Hyperplane Processes with Rectified Linear Units.
CoRR
Shufei Ge, Shijia Wang, Lloyd T. Elliott
2026 J jnl
Poisson Hyperplane processes with rectified linear units.
Stat. Comput.
Shufei Ge, Shijia Wang, Lloyd T. Elliott
2025 J jnl
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law.
CoRR
Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Fangjian Li, Chuanjiang Luo
2025 A conf
Climber: Toward Efficient Scaling Laws for Large Recommendation Models.
CIKM
Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Bin Huang, Guanlin Wu, Chuanjiang Luo
2025 — conf
Enhanced Emotion-aware Music Recommendation via Large Language Models.
KDD (2)
Shijia Wang, Tianpei Ouyang, Yunfan Zhou, Qiang Xiao, Yintao Ren, Yifei Pan, Fangjian Li, Chuanjiang Luo
2025 J jnl
FLAME: A Serving System Optimized for Large-Scale Generative Recommendation with Efficiency.
CoRR
Xianwen Guo, Bin Huang, Xiaomeng Wu, Guanlin Wu, Fangjian Li, Shijia Wang, Qiang Xiao, Chuanjiang Luo, Yong Li
2025 J jnl
HORSE-CFR: Hierarchical opponent reasoning for safe exploitation counterfactual regret minimization.
Expert Syst. Appl.
Shijia Wang, Jiao Wang, Bangyan Song
2025 A conf
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation.
CIKM
Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo
2025 J jnl
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation.
CoRR
Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo
2025 J jnl
Using Early Rejection Markov Chain Monte Carlo and Gaussian Processes to Accelerate ABC Methods.
J. Comput. Graph. Stat.
Xuefei Cao, Shijia Wang, Yongdao Zhou
2024 J jnl
Alternate inference-decision reinforcement learning with generative adversarial inferring for bridge bidding.
Neural Comput. Appl.
Jiao Wang, Shijia Wang, Tao Xu
2024 A* conf
Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation.
ICDM
Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo
2024 — conf
Sparsity-Aware Personalized Pattern Extractor Network for Music Multi-task Learning.
DASFAA (7)
Shijia Wang, Yi Zheng, Qiang Xiao, Yilong Zhao, Qimeng Yang, Chuanjiang Luo
2024 J jnl
UWB Radar Imaging Method for the Longwall Retreat and Creep Displacements Measurement in Underground Coal Mine.
IEEE Trans Autom. Sci. Eng.
Shijia Wang, Shibo Wang
2023 J jnl
Genome-Wide Association with Uncertainty in the Genetic Similarity Matrix.
J. Comput. Biol.
Shijia Wang, Shufei Ge, Benjamin Sobkowiak, Liangliang Wang, Louis Grandjean, Caroline Colijn, Lloyd T. Elliott
2023 J jnl
Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds.
Enterp. Inf. Syst.
Shijia Wang, Xuan Liu, Ming Gao, Mingxia Chen, Kai-Leung Yung, Shancheng Jiang
2023 J jnl
Pneumothorax prediction using a foraging and hunting based ant colony optimizer assisted support vector machine.
Comput. Biol. Medicine
Yang Song, Lejing Lou, Wangjia Wang, Jie Li, Xiao Jin, Shijia Wang, Jihao Cai, Fangjun Kuang, Lei Liu, Myriam Hadjouni, Hela Elmannai, Chang Cai
2023 J jnl
Shape modeling with spline partitions.
Stat. Comput.
Shufei Ge, Shijia Wang, Lloyd T. Elliott
2022 J jnl
Adaptive Semiparametric Bayesian Differential Equations Via Sequential Monte Carlo.
J. Comput. Graph. Stat.
Shijia Wang, Shufei Ge, Renny Doig, Liangliang Wang
2022 J jnl
Moment matching adaptive importance sampling with skew-student proposals.
Monte Carlo Methods Appl.
Shijia Wang, Tim B. Swartz
2022 J jnl
Post quantum secure fair data trading with deterability based on machine learning.
Sci. China Inf. Sci.
Jinhui Liu, Yong Yu, Hongliang Bi, Yanqi Zhao, Shijia Wang, Huanguo Zhang
2021 J jnl
Estimating Genetic Similarity Matrices Using Phylogenies.
J. Comput. Biol.
Shijia Wang, Shufei Ge, Caroline Colijn, Priscila Biller, Liangliang Wang, Lloyd T. Elliott
2021 J jnl
Particle Gibbs sampling for Bayesian phylogenetic inference.
Bioinform.
Shijia Wang, Liangliang Wang
2021 J jnl
Shape Modeling with Spline Partitions.
CoRR
Shufei Ge, Shijia Wang, Lloyd T. Elliott
2021 J jnl
The regulatory pattern of target gene expression by aberrant enhancer methylation in glioblastoma.
BMC Bioinform.
Xiaoxiao Zhao, Jianghuai Ji, Shijia Wang, Rendong Wang, Qiuhong Yu, Dongguo Li
2020 J jnl
High-Resolution Squinted SAR Imaging Algorithm Applied in the Near-Field Environment.
Complex.
Shijia Wang, Shibo Wang, Wanli Liu
2020 J jnl
Improving the Shearer Positioning Accuracy Using the Shearer Motion Constraints in Longwall Panels.
IEEE Access
Shijia Wang, Shibo Wang
2019 J jnl
Dynamic Precise Positioning Method of Shearer Based on Closing Path Optimal Estimation Model.
IEEE Trans Autom. Sci. Eng.
Shibo Wang, Boyuan Zhang, Shijia Wang, Shirong Ge
2019 J jnl
Improved Convolutional Neural Networks for Acoustic Event Classification.
Multim. Tools Appl.
Guichen Tang, Ruiyu Liang, Yue Xie, Yongqiang Bao, Shijia Wang
2019 A* conf
Random Tessellation Forests.
NeurIPS
Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd T. Elliott
2019 J jnl
Random Tessellation Forests.
CoRR
Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd T. Elliott
2018 B conf
An Efficient Privacy Preserving Batch Authentication Scheme with Deterable Function for VANETs.
NSS
Jinhui Liu, Yong Yu, Yanqi Zhao, Jianwei Jia, Shijia Wang
2018 J jnl
Structural Key Recovery of Simple Matrix Encryption Scheme Family.
Comput. J.
Jinhui Liu, Yong Yu, Bo Yang, Jianwei Jia, Shijia Wang, Houzhen Wang
2016 — conf
Parallel Monte Carlo Method with MapReduce for Option Pricing.
Trustcom/BigDataSE/ISPA
Shijia Wang, Liang Zhou, Yuanyuan Li, Junfeng Wu