Using self-training and graph laplacian in semi-supervised band selection for hyperspectral image classification. - Rui Huang; Zhiqiang Lv (FSKD, 2012)

Unlabeled Sample Reduction in Semi-supervised Graph-Based Band Selection for Hyperspectral Image Classification. - Rui Huang; Lisha Yang; Zhiqiang Lv (ICIG, 2013)

Calibration of word posterior estimation in confusion networks for keyword search. - Zhiqiang Lv; Meng Cai; Wei-Qiang Zhang 001; Jia Liu 001 (APSIPA, 2015)

High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation. - Meng Cai; Zhiqiang Lv; Cheng Lu 007; Jian Kang 006; Like Hui; Zhuo Zhang; Jia Liu 001 (ASRU, 2015)

Improved system fusion for keyword search. - Zhiqiang Lv; Meng Cai; Cheng Lu 007; Jian Kang 006; Like Hui; Wei-Qiang Zhang 001; Jia Liu 001 (ASRU, 2015)

The THUEE system for the openKWS14 keyword search evaluation. - Meng Cai; Zhiqiang Lv; Beili Song; Yongzhe Shi; Wei-lan Wu; Cheng Lu 007; Wei-Qiang Zhang 001; Jia Liu 001 (ICASSP, 2015)

A Novel Discriminative Score Calibration Method for Keyword Search. - Zhiqiang Lv; Meng Cai; Wei-Qiang Zhang 001; Jia Liu 001 (INTERSPEECH, 2016)

Using LAU information in mobile communication for high-speed user selection. - Zhiqiang Lv; Saibin Yao; Yongjia Qi; Dan Zhu; Hang Su (ISCIT, 2016)

MR raster positioning analysis and precise planning application. - Saibin Yao; Wenjun Hou; Fengli Dai; Hang Su; Zhiqiang Lv (ISCIT, 2016)

An LSTM-CTC based verification system for proxy-word based OOV keyword search. - Zhiqiang Lv; Jian Kang 006; Wei-Qiang Zhang 001; Jia Liu 001 (ICASSP, 2017)

AdvRefactor: A Resampling-Based Defense Against Adversarial Attacks. - Jianguo Jiang; Boquan Li 002; Min Yu 001; Chao Liu 020; Jianguo Sun; Weiqing Huang; Zhiqiang Lv (PCM (2), 2018)

Investigating the Use of Mixed-Units Based Modeling for Improving Uyghur Speech Recognition. - Pengfei Hu 004; Shen Huang; Zhiqiang Lv (SLTU, 2018)

Low-resource Tibetan Dialect Acoustic Modeling Based on Transfer Learning. - Jinghao Yan; Zhiqiang Lv; Shen Huang; Hongzhi Yu (SLTU, 2018)

Verifying Deep Keyword Spotting Detection with Acoustic Word Embeddings. - Yougen Yuan; Zhiqiang Lv; Shen Huang; Lei Xie 001 (ASRU, 2019)

Multimedia Simultaneous Translation System for Minority Language Communication with Mandarin. - Shen Huang; Bojie Hu; Shan Huang; Pengfei Hu 004; Jian Kang 006; Zhiqiang Lv; Jinghao Yan; Qi Ju 002; Shiyin Kang; Deyi Tuo; Guangzhi Li; Nurmemet Yolwas (INTERSPEECH, 2019)

Similarity of Binaries Across Optimization Levels and Obfuscation. - Jianguo Jiang; Gengwang Li; Min Yu 001; Gang Li 009; Chao Liu 020; Zhiqiang Lv; Bin Lv; Weiqing Huang (ESORICS (1), 2020)

Depthwise Separable Convolutional Neural Network for Confidential Information Analysis. - Yue Lu; Jianguo Jiang; Min Yu 001; Chao Liu 020; Chaochao Liu; Weiqing Huang; Zhiqiang Lv (KSEM (2), 2020)

Novel design of Hardware Trojan: A generic approach for defeating testability based detection. - Ning Zhang; Zhiqiang Lv; Yanlin Zhang; Haiyang Li; Yixin Zhang; Weiqing Huang (TrustCom, 2020)

Estimation of Short-Term Online Taxi Travel Time Based on Neural Network. - Liping Fu; Jianbo Li; Zhiqiang Lv; Ying Li 014; Qing Li 001 (WASA (2), 2020)

A Deep Spatial-Temporal Network for Vehicle Trajectory Prediction. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Wei Zhao (WASA (1), 2020)

Traffic Flow Prediction Model Based on Spatio-Temporal Dilated Graph Convolution. - Xiufang Sun; Jianbo Li; Zhiqiang Lv; Chuanhao Dong (KSII Trans. Internet Inf. Syst., 2020)

Spatial and Dual-channel Temporal Convolution Networks: A Novel Method for Speed Forecasting. - Chuanhao Dong; Jianbo Li; Zhiqiang Lv; Wei Zhao (ACM TUR-C, 2021)

A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning. - Chuanhao Dong; Zhiqiang Lv; Jianbo Li (ICPADS, 2021)

Multimodal Traffic Travel Time Prediction. - Shizhen Fan; Jianbo Li; Zhiqiang Lv; Aite Zhao (IJCNN, 2021)

The TNT Team System Descriptions of Cantonese and Mongolian for IARPA OpenASR20. - Jing Zhao; Zhiqiang Lv; Ambyera Han; Guan-Bo Wang; Gui-Xin Shi; Jian Kang 006; Jinghao Yan; Pengfei Hu 004; Shen Huang; Weiqiang Zhang 001 (Interspeech, 2021)

MFAGCN: Multi-Feature Based Attention Graph Convolutional Network for Traffic Prediction. - Haoran Li; Jianbo Li; Zhiqiang Lv; Zhihao Xu 002 (WASA (1), 2021)

Parallel Computing of Spatio-Temporal Model Based on Deep Reinforcement Learning. - Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Yue Wang 052; Haoran Li (WASA (1), 2021)

Temporal Attention-Based Graph Convolution Network for Taxi Demand Prediction in Functional Areas. - Yue Wang 052; Jianbo Li; Aite Zhao; Zhiqiang Lv; Guangquan Lu (WASA (1), 2021)

DDCAttNet: Road Segmentation Network for Remote Sensing Images. - Genji Yuan; Jianbo Li; Zhiqiang Lv; Yinong Li; Zhihao Xu 002 (WASA (2), 2021)

A graph spatial-temporal model for predicting population density of key areas. - Zhihao Xu 002; Jianbo Li; Zhiqiang Lv; Yue Wang 052; Liping Fu; Xinghao Wang (Comput. Electr. Eng., 2021)

VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge. - Yougen Yuan; Zhiqiang Lv; Shen Huang; Pengfei Hu 004 (CoRR, 2021)

Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Haoran Li; Zhihao Xu 002 (Data Knowl. Eng., 2021)

DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Yue Wang 052; Haoran Li; Zhihao Xu 002 (KSII Trans. Internet Inf. Syst., 2021)

Keyword Search Based on Unsupervised Pre-Trained Acoustic Models. - Xiner Li; Jing Zhao; Wei-Qiang Zhang 001; Zhiqiang Lv; Shen Huang (Int. J. Asian Lang. Process., 2021)

Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. - Yingda Chen; Jiamang Wang; Yifeng Lu; Ying Han; Zhiqiang Lv; Xuebin Min; Hua Cai; Wei Zhang 012; Haochuan Fan; Chao Li 009; Tao Guan; Wei Lin 016; et al. (Proc. VLDB Endow., 2021)

Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene. - Zhiqiang Lv; Jianbo Li; Haoran Li; Zhihao Xu 002; Yue Wang 052 (Wirel. Commun. Mob. Comput., 2021)

Fake Audio Detection Based On Unsupervised Pretraining Models. - Zhiqiang Lv; Shanshan Zhang; Kai Tang; Pengfei Hu 004 (ICASSP, 2022)

MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification. - Yang Zhang 025; Zhiqiang Lv; Haibin Wu; Shanshan Zhang; Pengfei Hu 004; Zhiyong Wu 001; Hung-yi Lee; Helen Meng (INTERSPEECH, 2022)

Multi-region SRAM-Based TCAM for Longest Prefix. - Qian Zou; Ning Zhang; Feng Guo; Qingshan Kong; Zhiqiang Lv (SciSec, 2022)

MEBV: Resource Optimization for Packet Classification Based on Mapping Encoding Bit Vectors. - Feng Guo; Ning Zhang; Qian Zou; Qingshan Kong; Zhiqiang Lv; Weiqing Huang (WASA (3), 2022)

A Spatial-Temporal Convolutional Model with Improved Graph Representation. - Yang Lv; Zesheng Cheng; Zhiqiang Lv; Jianbo Li (WASA (1), 2022)

Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion. - Haokai Sun 002; Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Zhaoyu Sheng; Zhaobin Ma (WASA (2), 2022)

Socially Acceptable Trajectory Prediction for Scene Pedestrian Gathering Area. - Rongkun Ye; Zhiqiang Lv; Aite Zhao; Jianbo Li (WASA (1), 2022)

A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic. - Yue Wang 052; Zhiqiang Lv; Zhaoyu Sheng; Haokai Sun 002; Aite Zhao (Adv. Eng. Informatics, 2022)

A weak Galerkin method with rectangle partitions for the Signorini problem. - Jingjun Zhao; Zhiqiang Lv; Yang Xu 014 (Comput. Appl. Math., 2022)

Neighbor-Discovery Recurrent Model for Point-of-Interest Recommendation. - Songyu Han; Zhaobin Ma; Wei Zhao; Zhiqiang Lv (ICBDT, 2023)

A Spatio-Temporal Tree and Gauss Convolutional Network for Traffic Flow Forecasting. - Zhaobin Ma; Zhiqiang Lv; Jianbo Li; Fengqian Xia (MSN, 2023)

A novel LightGBM-based industrial internet intrusion detection method. - Zhiqiang Lv (Int. J. Comput. Appl. Technol., 2023)

A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors. - Zhihao Xu 002; Zhiqiang Lv; Jianbo Li; Haokai Sun 002; Zhaoyu Sheng (IEEE Intell. Transp. Syst. Mag., 2023)

Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction. - Yue Wang 052; Aite Zhao; Jianbo Li; Zhiqiang Lv; Chuanhao Dong; Haoran Li (Neural Process. Lett., 2023)

Taxi travel time prediction based on fusion of traffic condition features. - Zhaoyu Sheng; Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Haokai Sun 002; Xue Liu; Rongkun Ye (Comput. Electr. Eng., 2023)

DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow. - Zhiqiang Lv; Jianbo Li; Chuanhao Dong; Zhihao Xu 002 (Comput. J., 2023)

Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation. - Haoran Li; Zhiqiang Lv; Jianbo Li; Zhihao Xu 002; Yue Wang 052; Haokai Sun 002; Zhaoyu Sheng (ACM Trans. Knowl. Discov. Data, 2023)

GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading. - Yinong Li; Jianbo Li; Zhiqiang Lv; Haoran Li; Yue Wang 052; Zhihao Xu 002 (IEEE Trans. Netw. Serv. Manag., 2023)

A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index. - Zhiqiang Lv; Xiaotong Wang; Zesheng Cheng; Jianbo Li; Haoran Li; Zhihao Xu 002 (Data Knowl. Eng., 2023)

Deep spatial-temporal travel time prediction model based on trajectory feature. - Zhaoyu Sheng; Zhiqiang Lv; Jianbo Li; Zhihao Xu 002 (Comput. Electr. Eng., 2023)

Fast autoregressive tensor decomposition for online real-time traffic flow prediction. - Zhihao Xu 002; Zhiqiang Lv; Benjia Chu; Jianbo Li (Knowl. Based Syst., 2023)

A Deep Spatial-Temporal Model Based on Discrete Wavelet Transform for Traffic Flow Forecasting. - Hao Qu; Zhiqiang Lv; Jianbo Li (CBD, 2024)

STDFN: A Taxi Flow Prediction Model Based on Spatial-Temporal Data Fusion. - Hao Qu; Zhiqiang Lv; Jianbo Li (CBD, 2024)

Meta Analysis of Traffic Safety Prediction. - Hongyu Yan; Jianbo Li; Zhihao Xu 002; Zhiqiang Lv (CBD, 2024)

Exploring Large Scale Pre-Trained Models for Robust Machine Anomalous Sound Detection. - Bing Han 008; Zhiqiang Lv; Anbai Jiang; Wen Huang 004; Zhengyang Chen; Yufeng Deng; Jiawei Ding; Cheng Lu 007; Wei-Qiang Zhang 001; Pingyi Fan; Jia Liu 001; Yanmin Qian (ICASSP, 2024)

MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning. - Rongkun Ye; Zhiqiang Lv; Zhihao Xu 002; Jianbo Li (IJCNN, 2024)

AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection. - Anbai Jiang; Bing Han; Zhiqiang Lv; Yufeng Deng; Wei-Qiang Zhang; Xie Chen 001; Yanmin Qian; Jia Liu 001; Pingyi Fan (INTERSPEECH, 2024)

HID Detector: A New Detection Framework Against HID Attacks Based on Behavior Features. - Haiyang Li; Zhiqiang Lv; Ning Zhang; Yixin Zhang; Qingqing Ye 003 (ISCC, 2024)

A Conducted Compromising Emanations Method on High-Speed USB Devices via USB Hubs. - Yixin Zhang; Haiyang Li; Qingqing Ye 003; Junjie Hu; Yinglong Han; Zhiqiang Lv (ISCC, 2024)

Spatio-Temporal Heterogeneous Tree Convolutional Networks for Traffic Flow Prediction. - Fengqian Xia; Zhiqiang Lv; Zhaobin Ma; Jianbo Li (MSN, 2024)

A Novel Scoring Algorithm Against HID Attacks Based on Static Text Feature Matching. - Haiyang Li; Zhiqiang Lv; Yixin Zhang; Yanan Xue (SciSec, 2024)

USB Catcher: Detection of Controlled Emissions via Conducted Compromising Emanations. - Yixin Zhang; Fuqiang Du; Xinge Chi; Zhiqiang Lv (TrustCom, 2024)

A transportation Revitalization index prediction model based on Spatial-Temporal attention mechanism. - Zhiqiang Lv; Zhaobin Ma; Fengqian Xia; Jianbo Li (Adv. Eng. Informatics, 2024)

CIPO: Efficient, lightweight and programmable packet scheduling. - Feng Guo; Shidong Sun; Junjie Hu; Ning Zhang; Zhiqiang Lv (Comput. Networks, 2024)

AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection. - Anbai Jiang; Bing Han 008; Zhiqiang Lv; Yufeng Deng; Wei-Qiang Zhang 001; Xie Chen 001; Yanmin Qian; Jia Liu 001; Pingyi Fan (CoRR, 2024)

Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning. - Bing Han 008; Wen Huang 004; Zhengyang Chen; Anbai Jiang; Pingyi Fan; Cheng Lu 007; Zhiqiang Lv; Jia Liu; Wei-Qiang Zhang; Yanmin Qian (CoRR, 2024)

Progress and prospects of future urban health status prediction. - Zhihao Xu 002; Zhiqiang Lv; Benjia Chu; Zhaoyu Sheng; Jianbo Li (Eng. Appl. Artif. Intell., 2024)

ST-TDCN: A two-channel tree-structure spatial-temporal convolutional network model for traffic velocity prediction. - Zhiqiang Lv; Xiaotong Wang; Zesheng Cheng; Sisi Jian; Jianbo Li (Expert Syst. Appl., 2024)

A weak Galerkin method for the nonlinear Navier-Stokes problem. - Jingjun Zhao; Zhiqiang Lv; Yang Xu 014 (Comput. Appl. Math., 2024)

Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree. - Jianbo Li; Zhiqiang Lv; Zhaobin Ma; Xiaotong Wang; Zhihao Xu 002 (Inf. Fusion, 2024)

TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction. - Zhiqiang Lv; Zesheng Cheng; Jianbo Li; Zhihao Xu 002; Zheng Yang 002 (IEEE Trans. Intell. Transp. Syst., 2024)

DeepBytes: Hierarchical Features Fusion with Deep Byte Feature for Malicious Traffic Detection. - Yinglong Han; Haiyang Li; Feng Guo; Yixin Zhang; Junjie Hu; Zhiqiang Lv (CSCWD, 2025)

Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning. - Bing Han 008; Wen Huang 004; Zhengyang Chen; Anbai Jiang; Pingyi Fan; Cheng Lu 007; Zhiqiang Lv; Jia Liu 001; Wei-Qiang Zhang 001; Yanmin Qian (ICASSP, 2025)

A Model of Multi-order Sampling Neighbor Aggregation for Traffic Flow Prediction. - Shulan Guo; Haoran Li; Jianbo Li; Zhiqiang Lv (WASA (2), 2025)

DeepTTF: A Deep Tree Traffic Forecast Model Based on Tree Structure. - Yingjie Song; Zhiqiang Lv; Haoran Li; Jianbo Li (WASA (3), 2025)

Finite-time stability analysis of interacting genetic regulatory networks with spatial diffusion term. - Qi Liu; Zhiqiang Lv; Chengye Zou; Hao Zhang (Comput. Biol. Medicine, 2025)

Shared mobility demand prediction via A fast spatiotemporal tensor autoregression. - Hongyu Yan; Zhiqiang Lv; Jianbo Li; Benjia Chu; Zhihao Xu 002 (Eng. Appl. Artif. Intell., 2025)

I Know What You Said: Unveiling Hardware Cache Side-Channels in Local Large Language Model Inference. - Zibo Gao; Junjie Hu; Feng Guo; Yixin Zhang; Yinglong Han; Siyuan Liu; Haiyang Li; Zhiqiang Lv (CoRR, 2025)

FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation. - Pingyi Fan; Anbai Jiang; Shuwei Zhang; Zhiqiang Lv; Bing Han 008; Xinhu Zheng; Wenrui Liang; Junjie Li; Wei-Qiang Zhang; Yanmin Qian; Xie Chen 001; Cheng Lu; et al. (CoRR, 2025)