A High Reliable Multi-cluster Computing Platform Based on the B/S Mode. - Xiaohui Zeng; Feng Ping; Junrui Liu; Yanjing Lei; Jichang Kang (PDPTA, 2005)

Selecting Band Subsets from Hyperspectral Image Through a Novel Evolutionary-Based Strategy. - Xuefeng Jiang; Lin Zhang; Fahong Zhang 003; Junrui Liu; Qi Wang 009 (IGARSS, 2018)

A Method of Pedestrian Trajectory Prediction Based on LSTM. - Xuefeng Jiang; Wei Lin 018; Junrui Liu (CIIS, 2019)

Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image. - Xuefeng Jiang; Lin Zhang; Junrui Liu; Shuying Li (IET Comput. Vis., 2019)

A Coarse-to-Fine Optimization for Hyperspectral Band Selection. - Xuefeng Jiang; Jianzhe Lin; Junrui Liu; Shuying Li; Yanning Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Hyperspectral Image Classification With CapsNet and Markov Random Fields. - Xuefeng Jiang; Yue Zhang 036; Wenbo Liu 005; Junyu Gao 001; Junrui Liu; Yanning Zhang 001; Jianzhe Lin (IEEE Access, 2020)

Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks. - Junrui Liu; Cong Hua; Liang Zhang 010; Ping Li 030; Xiaoyuan Lu (MLMI@MICCAI, 2021)

Spectral-Spatial Hyperspectral Image Classification Using Dual-Channel Capsule Networks. - Xuefeng Jiang; Wenbo Liu 005; Yue Zhang 036; Junrui Liu; Shuying Li; Jianzhe Lin (IEEE Geosci. Remote. Sens. Lett., 2021)

Tree traversal synthesis using domain-specific symbolic compilation. - Yanju Chen; Junrui Liu; Yu Feng 001; Rastislav Bodík (ASPLOS, 2022)

An Identity Authentication Method Based on Accelerometer and Gyroscope. - Ru Zhao; Junrui Liu; Xiaorong Zhao; Deqiang Wang (ICCT, 2022)

Classifying Hyperspectral Images with Capsule Network and Active Learning. - Junrui Liu; Xuefeng Jiang; Wenbo Liu 005 (IGARSS, 2022)

Learning Contract Invariants Using Reinforcement Learning. - Junrui Liu; Yanju Chen; Bryan Tan; Isil Dillig; Yu Feng 001 (ASE, 2022)

A study of HTTP/2's Server Push Performance Potential. - Rui Meireles; Junrui Liu; Peter Steenkiste (CoRR, 2022)

LAD-RCNN: A Powerful Tool for Livestock Face Detection and Normalization. - Ling Sun 017; Guiqiong Liu; Junrui Liu; Xunping Jiang; Xu Wang; Han Yang; Shiping Yang (CoRR, 2022)

FAC: A Music Recommendation Model Based on Fusing Audio and Chord Features (115). - Weite Feng; Junrui Liu; Tong Li 001; Zhen Yang 004; Di Wu 064 (Int. J. Softw. Eng. Knowl. Eng., 2022)

Adaptive robust Adaboost-based twin support vector machine with universum data. - Bo Liu 002; Ruiguang Huang; Yanshan Xiao; Junrui Liu; Kai Wang; Liangjiao Li; Qihang Chen (Inf. Sci., 2022)

A new self-paced learning method for privilege-based positive and unlabeled learning. - Bo Liu 002; Junrui Liu; Yanshan Xiao; Qihang Chen; Kai Wang; Ruiguang Huang; Liangjiao Li (Inf. Sci., 2022)

SPR: Similarity pairwise ranking for personalized recommendation. - Junrui Liu; Zhen Yang 004; Tong Li 001; Di Wu 064; Ruiyi Wang (Knowl. Based Syst., 2022)

A Two-tier Shared Embedding Method for Review-based Recommender Systems. - Zhen Yang 004; Junrui Liu; Tong Li 001; Di Wu 064; Shiqiu Yang; Huan Liu 001 (CIKM, 2023)

Dual-Channel Improved ShuffleNet (DCISN) for Real-time Violence Detection. - Junrui Liu; Ru Zhao; Xiaorong Zhao; Deqiang Wang (ICIGP, 2023)

A novel subjective bias detection method based on multi-information fusion. - Lidan Zhao; Tong Li 001; Zhen Yang 004; Junrui Liu (SEKE, 2023)

Certifying Zero-Knowledge Circuits with Refinement Types. - Junrui Liu; Ian Kretz; Hanzhi Liu; Bryan Tan; Jonathan Wang; Yi Sun; Luke Pearson; Anders Miltner; Isil Dillig; Yu Feng 001 (IACR Cryptol. ePrint Arch., 2023)

Conflict-Driven Synthesis for Layout Engines. - Junrui Liu; Yanju Chen; Eric Atkinson; Yu Feng 001; Rastislav Bodík (Proc. ACM Program. Lang., 2023)

Semi-supervised Multi-task Learning with Auxiliary data. - Bo Liu 002; Qihang Chen; Yanshan Xiao; Kai Wang; Junrui Liu; Ruiguang Huang; Liangjiao Li (Inf. Sci., 2023)

Refinement Types for Visualization. - Jingtao Xia; Junrui Liu; Nicholas Brown; Yanju Chen; Yu Feng 001 (ASE, 2024)

JOCP: A jointly optimized clustering protocol for industrial wireless sensor networks using double-layer selection evolutionary algorithm. - Di Wu 064; Zhen Yang 004; Tong Li 001; Junrui Liu (Concurr. Comput. Pract. Exp., 2024)

Fusion learning of preference and bias from ratings and reviews for item recommendation. - Junrui Liu; Tong Li 001; Zhen Yang 004; Di Wu 064; Huan Liu 001 (Data Knowl. Eng., 2024)

Push-Button Verification for BitVM Implementations. - Hanzhi Liu; Jingyu Ke; Hongbo Wen; Robin Linus; Lukas George; Manish Bista; Hakan Karakus; Domo; Junrui Liu; Yanju Chen; Yu Feng 001 (IACR Cryptol. ePrint Arch., 2024)

An Efficient Transfer Learning Method with Auxiliary Information. - Bo Liu 002; Liangjiao Li; Yanshan Xiao; Kai Wang; Jian Hu; Junrui Liu; Qihang Chen; Ruiguang Huang (ACM Trans. Knowl. Discov. Data, 2024)

A Systematic Literature Review of Reinforcement Learning-based Knowledge Graph Research. - Zifang Tang; Tong Li 001; Di Wu 064; Junrui Liu; Zhen Yang 004 (Expert Syst. Appl., 2024)

A Novel Entity and Relation Joint Interaction Learning Approach for Entity Alignment. - Di Wu 064; Tong Li 001; Yiran Zhao 003; Junrui Liu; Zifang Tang; Zhen Yang 004 (Int. J. Softw. Eng. Knowl. Eng., 2024)

An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. - Junrui Liu; Tong Li 001; Di Wu 064; Zifang Tang; Yuan Fang 001; Zhen Yang 004 (WSDM, 2025)

Graph-based RAG Enhancement via Global Query Disambiguation and Dependency-Aware Reranking. - Ningyuan Li 005; Junrui Liu; Yi Shan; Minghui Huang; Tong Li (CoRR, 2025)

$ gamma$-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training. - Lei Liu 073; Peng Zhang; Yunji Liang; Junrui Liu; Lia Morra; Bin Guo 001; Zhiwen Yu 001; Yanyong Zhang; Daniel Dajun Zeng (IEEE Trans. Comput. Soc. Syst., 2025)

Flow-CDNet: A Novel Network for Detecting Both Slow and Fast Changes in Bitemporal Images. - Haoxuan Li; Chenxu Wei; Haodong Wang; Xiaomeng Hu; Boyuan An; Lingyan Ran; Baosen Zhang; Jin Jin; Omirzhan Taukebayev; Amirkhan Temirbayev; Junrui Liu; Xiuwei Zhang 001 (CoRR, 2025)