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2020 – today
- 2024
[j61]Hongwei Chen, Dewei Shi, Xun Zhou, Man Zhang, Luanxuan Liu:
Application research of credit fraud detection based on distributed rotation deep forest. Intell. Data Anal. 28(4): 1067-1091 (2024)- [j60]Qingqing Yan
, Shu Li, Zongtao He, Xun Zhou, Mengxian Hu, Chengju Liu, Qijun Chen:
Decoupling semantic and localization for semantic segmentation via magnitude-aware and phase-sensitive learning. Inf. Fusion 107: 102314 (2024) - [j59]Lei Hu, Xun Zhou, Jiachen Ruan, Supeng Li:
ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images. Remote. Sens. 16(6): 1036 (2024) - [j58]Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan:
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 682-695 (2024) - [j57]Shuangchun Gui, Zhenkun Wang, Jixiang Chen, Xun Zhou, Chen Zhang, Yi Cao:
MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition. IEEE Trans. Medical Imaging 43(4): 1628-1639 (2024) - [j56]Shu Li, Qingqing Yan, Xun Zhou, Deming Wang, Chengju Liu, Qijun Chen:
NDNet: Spacewise Multiscale Representation Learning via Neighbor Decoupling for Real-Time Driving Scene Parsing. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7884-7898 (2024) - [c85]Meizhen Zheng, Peng Bai, Xiaodong Shi, Xun Zhou, Yiting Yan:
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis. AAAI 2024: 19697-19705 - [c84]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI 2024: 21949-21957 - [c83]Yanqing Lin, Yong Liu, Xun Zhou:
Unlocking Customer (Dis)satisfaction in Robotic Service: An Exploratory Study. ECIS 2024 - [c82]Jiacong Wang, Bohong Wu, Haiyong Jiang, Xun Zhou, Xin Xiao, Haoyuan Guo, Jun Xiao:
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering. EMNLP 2024: 4608-4623 - [c81]Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye:
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD 2024: 6722-6723 - [c80]Mingzhi Hu, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Only Attending What Matter within Trajectories - Memory-Efficient Trajectory Attention. SDM 2024: 481-489 - [i28]Chen Zheng, Ke Sun, Da Tang, Yukun Ma, Yuyu Zhang, Chenguang Xi, Xun Zhou:
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers. CoRR abs/2401.02072 (2024) - [i27]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR abs/2402.13379 (2024) - [i26]Chen Zheng, Ke Sun, Hang Wu, Chenguang Xi, Xun Zhou:
Balancing Enhancement, Harmlessness, and General Capabilities: Enhancing Conversational LLMs with Direct RLHF. CoRR abs/2403.02513 (2024) - [i25]Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu:
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR abs/2404.04875 (2024) - [i24]Mengxian Hu, Minghao Zhu, Xun Zhou, Qingqing Yan, Shu Li, Chengju Liu, Qijun Chen:
Efficient Text-driven Motion Generation via Latent Consistency Training. CoRR abs/2405.02791 (2024) - [i23]Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo:
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment. CoRR abs/2405.17871 (2024) - [i22]Chen Zheng, Ke Sun, Xun Zhou:
Mistral-C2F: Coarse to Fine Actor for Analytical and Reasoning Enhancement in RLHF and Effective-Merged LLMs. CoRR abs/2406.08657 (2024) - [i21]Jie Chen, Xintian Han, Yu Ma, Xun Zhou, Liang Xiang:
Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models. CoRR abs/2406.10305 (2024) - [i20]Nan Peng, Xun Zhou, Mingming Wang, Xiaojun Yang, Songming Chen, Guisong Chen:
PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction. CoRR abs/2407.17378 (2024) - [i19]Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan:
Design Principle Transfer in Neural Architecture Search via Large Language Models. CoRR abs/2408.11330 (2024) - [i18]Defa Zhu, Hongzhi Huang, Zihao Huang, Yutao Zeng, Yunyao Mao, Banggu Wu, Qiyang Min, Xun Zhou:
Hyper-Connections. CoRR abs/2409.19606 (2024) - [i17]Jiacong Wang, Bohong Wu, Haiyong Jiang, Xun Zhou, Xin Xiao, Haoyuan Guo, Jun Xiao:
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering. CoRR abs/2409.20424 (2024) - [i16]Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan:
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. CoRR abs/2410.04853 (2024) - [i15]Minghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen:
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer. CoRR abs/2410.10589 (2024) - 2023
- [j55]Xun Zhou, Miaomiao Liu, Bo Dong, Weizhong Li, Kunfeng Liang:
Effects of prefilmer edge configuration on primary liquid film breakup: A lattice Boltzmann study. Comput. Math. Appl. 146: 33-44 (2023) - [j54]Sheng Dai, Timo Kuosmanen, Xun Zhou:
Generalized quantile and expectile properties for shape constrained nonparametric estimation. Eur. J. Oper. Res. 310(2): 914-927 (2023) - [j53]Haoyi Xiong, Xun Zhou, David A. Bennett:
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. 37(5): 1157-1179 (2023) - [j52]Zheng Wang, Guihu Zhao, Bin Li, Zhenghuan Fang, Qian Chen, Xiaomeng Wang, Tengfei Luo, Yijing Wang, Qiao Zhou, Kuokuo Li, Lu Xia, Yi Zhang, Xun Zhou, Hongxu Pan, Yuwen Zhao, Yige Wang, Lin Wang, Jifeng Guo, Beisha Tang, Kun Xia, Jinchen Li:
Performance Comparison of Computational Methods for the Prediction of the Function and Pathogenicity of Non-coding Variants. Genom. Proteom. Bioinform. 21(3): 649-661 (2023) - [j51]Yanqing Lin, Shaoxiong Fu, Xun Zhou:
Unmasking the bright-dark duality of social media use on psychological well-being: a large-scale longitudinal study. Internet Res. 33(6): 2308-2355 (2023) - [j50]Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65(6): 2699-2729 (2023) - [j49]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN+: spatio-temporal meta-GAN for cross-city estimation of heterogeneous human mobility responses to COVID-19. Knowl. Inf. Syst. 65(11): 4759-4795 (2023) - [j48]Chen Liu, Degang Yang, Liu Tang, Xun Zhou, Yi Deng:
A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images. Remote. Sens. 15(1): 83 (2023) - [c79]Yiqun Xie, Zhili Li, Han Bao, Xiaowei Jia, Dongkuan Xu, Xun Zhou, Sergii Skakun:
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics. AAAI 2023: 14575-14583 - [c78]Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. ICDM 2023: 21-30 - [c77]Mingzhi Hu, Zhuoyun Zhong, Xin Zhang, Yanhua Li, Yiqun Xie, Xiaowei Jia, Xun Zhou, Jun Luo:
Self-supervised Pre-training for Robust and Generic Spatial-Temporal Representations. ICDM 2023: 150-159 - [c76]Xun Zhou, Wujin Sun, Xiaodong Shi:
A High-Quality Melody-Aware Peking Opera Synthesizer Using Data Augmentation. ICME 2023: 1092-1097 - [c75]Xun Zhou, Songbai Liu, Ka-Chun Wong, Qiuzhen Lin, Kay Chen Tan:
A Hybrid Search Method for Accelerating Convolutional Neural Architecture Search. ICMLC 2023: 177-182 - [c74]Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM. KDD 2023: 764-774 - [c73]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS 2023 - [c72]Yingxue Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
STM-GAIL: Spatial-Temporal Meta-GAIL for Learning Diverse Human Driving Strategies. SDM 2023: 208-216 - [c71]Xun Zhou, Qingqing Yan, Chengju Liu, Qijun Chen:
PUW-Feat: A Progressive and Unified Method for Weakly Supervised Local Feature Learning. SMC 2023: 3795-3800 - [c70]Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu:
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV 2023: 3847-3857 - [i14]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. CoRR abs/2301.08648 (2023) - [i13]Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Xun Zhou, Kevin Chen-Chuan Chang:
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. CoRR abs/2309.16583 (2023) - [i12]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR abs/2310.00270 (2023) - [i11]Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao:
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. CoRR abs/2310.04945 (2023) - 2022
- [j47]Yaojia Chen, Yuxin Gong, Lijun Dou, Xun Zhou, Ying Zhang:
Bioinformatics analysis methods for cell-free DNA. Comput. Biol. Medicine 143: 105283 (2022) - [j46]Hua Shi, Yan Li, Yi Chen, Yuming Qin, Yifan Tang, Xun Zhou, Ying Zhang, Yun Wu:
ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction. Comput. Biol. Medicine 151(Part): 106322 (2022) - [j45]Xun Zhou, Bo Dong, Weizhong Li, Kunfeng Liang:
Lattice Boltzmann modeling of primary liquid film breakup at the prefilmer edge: Effects of surface wettability. Comput. Math. Appl. 109: 146-157 (2022) - [j44]Hongwei Chen, Xun Zhou, Dewei Shi:
A Chaotic Antlion Optimization Algorithm for Text Feature Selection. Int. J. Comput. Intell. Syst. 15(1): 41 (2022) - [j43]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. IEEE Trans. Big Data 8(4): 1084-1095 (2022) - [j42]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cGAIL: Conditional Generative Adversarial Imitation Learning - An Application in Taxi Drivers' Strategy Learning. IEEE Trans. Big Data 8(5): 1288-1300 (2022) - [j41]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo, Zhi-Li Zhang:
Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. ACM Trans. Intell. Syst. Technol. 13(2): 23:1-23:19 (2022) - [j40]Han Bao, Xun Zhou, Yiqun Xie, Yingxue Zhang, Yanhua Li:
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features. ACM Trans. Intell. Syst. Technol. 13(2): 27:1-27:23 (2022) - [c69]Wenqiao Zhu, Yesheng Xu, Xin Huang, Qiyang Min, Xun Zhou:
Spherical Graph Embedding for Item Retrieval in Recommendation System. CIKM 2022: 4752-4756 - [c68]Xun Zhou, Hongwei Chen, Dewei Shi:
A chaotic parallel antlion optimization algorithm for feature selection. GECCO Companion 2022: 97-99 - [c67]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-net: forecasting speed-control in driver behavior from egocentric video data. SIGSPATIAL/GIS 2022: 12:1-12:10 - [c66]Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam:
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS 2022: 41:1-41:10 - [c65]Han Bao, Xun Zhou, Yiqun Xie, Yanhua Li, Xiaowei Jia:
STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19. ICDM 2022: 1-10 - [c64]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Mest-GAN: Cross-City Urban Traffic Estimation with Me ta S patial-T emporal G enerative A dversarial N etworks. ICDM 2022: 733-742 - [c63]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. ICDM 2022: 743-752 - [c62]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI 2022: 5364-5368 - [c61]Xun Zhou, Zhiyang Zhou, Xiaodong Shi:
FCH-TTS: Fast, Controllable and High-quality Non-Autoregressive Text-to-Speech Synthesis. IJCNN 2022: 1-8 - [c60]Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye:
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2022: 4878-4879 - [c59]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. NeurIPS 2022 - [c58]Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li:
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. SDM 2022: 334-342 - [i10]Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li:
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. CoRR abs/2203.03100 (2022) - [i9]Yichen Ding, Ziming Zhang, Yanhua Li, Xun Zhou:
EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data. CoRR abs/2209.13459 (2022) - [i8]Ronilo J. Ragodos, Tong Wang, Qihang Lin, Xun Zhou:
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping. CoRR abs/2211.03162 (2022) - 2021
- [j39]Xiang An, Bo Dong, Weizhong Li, Xun Zhou, Tao Sun:
Simulation of binary droplet collision with different angles based on a pseudopotential multiple-relaxation-time lattice Boltzmann model. Comput. Math. Appl. 92: 76-87 (2021) - [j38]Timo Kuosmanen, Xun Zhou:
Shadow prices and marginal abatement costs: Convex quantile regression approach. Eur. J. Oper. Res. 289(2): 666-675 (2021) - [j37]Xun Zhou, A. Kai Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j36]Amin Vahedian Khezerlou, Xun Zhou, Xinyi Li, W. Nick Street, Yanhua Li:
DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features. ACM Trans. Intell. Syst. Technol. 12(4): 49:1-49:25 (2021) - [j35]Yiqun Xie, Xiaowei Jia, Shashi Shekhar, Han Bao, Xun Zhou:
Significant DBSCAN+: Statistically Robust Density-based Clustering. ACM Trans. Intell. Syst. Technol. 12(5): 62:1-62:26 (2021) - [j34]Amin Vahedian Khezerlou, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model. IEEE Trans. Knowl. Data Eng. 33(3): 991-1004 (2021) - [j33]Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. 33(7): 2930-2942 (2021) - [c57]Balal Mian, Vladislav Toronov, Xun Zhou, Yeni H. Yucel:
Optimizing Photoacoustic Tomography: Lymphatic Drainage from the Brain in Pigmented Mice. BIOMESIP 2021: 13-24 - [c56]Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan:
A Survey of Advances in Evolutionary Neural Architecture Search. CEC 2021: 950-957 - [c55]Hongwei Chen, Honglin Zhou, Meiying Li, Hui Xu, Xun Zhou:
Application of Distributed Seagull Optimization Improved Algorithm in Sentiment Tendency Prediction. CISIS 2021: 90-99 - [c54]Hongwei Chen, Dewei Shi, Xun Zhou, Fengzhou Zhang:
A Research on the Application of Adaptive Rotation Deep Forest on Low Dimensional Datasets. EITCE 2021: 1194-1200 - [c53]Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. SIGSPATIAL/GIS 2021: 149-158 - [c52]Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam:
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS 2021: 313-323 - [c51]Yanqing Lin, Xun Zhou, Wenjie Fan:
How Do Customers Respond to Robotic Service? A Scenario-Based Study from the Perspective of Uncertainty Reduction Theory. HICSS 2021: 1-10 - [c50]Amin Vahedian, Xun Zhou:
Precise Bayes Classifier: Summary of Results. ICDM 2021: 649-658 - [c49]Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam:
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM 2021: 767-776 - [c48]Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo:
DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. ICDM 2021: 906-915 - [c47]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c46]Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo:
C3-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks. ICDM 2021: 1505-1510 - [c45]Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye:
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD 2021: 4183-4184 - 2020
- [j32]Liang Wang, Xiaolong Xue, Xun Zhou:
A New Approach for Measuring the Resilience of Transport Infrastructure Networks. Complex. 2020: 7952309:1-7952309:16 (2020) - [j31]Xun Zhou, Timo Kuosmanen:
What drives decarbonization of new passenger cars? Eur. J. Oper. Res. 284(3): 1043-1057 (2020) - [j30]Amr Magdy, Xun Zhou, Daniel B. Neill:
Guest Editorial: Special Issue on Analytics for Local Events and News. GeoInformatica 24(2): 267-268 (2020) - [j29]Xun Zhou, Huigui Rong, Chang Yang, Qun Zhang, Amin Vahedian Khezerlou, Hui Zheng, Zubair Shafiq, Alex X. Liu:
Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach. IEEE Trans. Big Data 6(1): 145-158 (2020) - [j28]Yuebin Wang, Xun Zhou, Honglei Yang, Liqiang Zhang, Suhong Liu, Faqiang Wang, Xingang Li, P. Takis Mathiopoulos:
Supervised High-Level Feature Learning With Label Consistencies for Object Recognition. IEEE Trans. Geosci. Remote. Sens. 58(7): 4501-4516 (2020) - [j27]Yiqun Xie, Xun Zhou, Shashi Shekhar:
Discovering Interesting Subpaths with Statistical Significance from Spatiotemporal Datasets. ACM Trans. Intell. Syst. Technol. 11(1): 2:1-2:24 (2020) - [j26]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo:
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 8:1-8:19 (2020) - [j25]Xiangyu Wang, Kang Zhao, Xun Zhou, W. Nick Street:
Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Trans. Manag. Inf. Syst. 11(3): 12:1-12:15 (2020) - [c44]Han Bao, Xun Zhou, Yingxue Zhang, Yanhua Li, Yiqun Xie:
COVID-GAN: Estimating Human Mobility Responses to COVID-19 Pandemic through Spatio-Temporal Conditional Generative Adversarial Networks. SIGSPATIAL/GIS 2020: 273-282 - [c43]Yichen Ding, Xun Zhou, Han Bao, Yanhua Li, Cara Hamann, Steven Spears, Zhuoning Yuan:
Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. SIGSPATIAL/GIS 2020: 337-346 - [c42]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo:
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS 2020: 357-366 - [c41]Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, Jun Luo:
TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis. ICDM 2020: 801-810 - [c40]Yingxue Zhang, Yanhua Li, Xun Zhou, Jun Luo:
cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction. ICDM 2020: 1418-1423 - [c39]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks. KDD 2020: 842-852 - [c38]Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo:
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD 2020: 1306-1315 - [c37]Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo:
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD 2020: 1334-1343 - [c36]Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo:
Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. WWW 2020: 1637-1647
2010 – 2019
- 2019
- [j24]Xun Zhou, Xuelian Cai, Yuehang Bu, Xi Zheng, Jiong Jin, Tom H. Luan, Changle Li:
When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads. IEEE Access 7: 60399-60410 (2019) - [j23]Tongxin Zhu, Tuo Shi, Jianzhong Li, Zhipeng Cai, Xun Zhou:
Task Scheduling in Deadline-Aware Mobile Edge Computing Systems. IEEE Internet Things J. 6(3): 4854-4866 (2019) - [j22]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 23-24 (2019) - [j21]Yichen Ding, Yanhua Li, Xun Zhou, Zhuojie Huang, Simin You, Jun Luo:
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query. IEEE Trans. Big Data 5(4): 550-563 (2019) - [c35]Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. AAAI 2019: 5199-5206 - [c34]Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang:
Multi-task based Sales Predictions for Online Promotions. CIKM 2019: 2823-2831 - [c33]Zhengcong Yin, Haoyi Xiong, Xun Zhou, Daniel W. Goldberg, David A. Bennett, Chong Zhang:
A Deep Learning based Illegal Parking Detection Platform. GeoAI@SIGSPATIAL 2019: 32-35 - [c32]Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. ICDM 2019: 1474-1479 - [c31]Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo:
Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. ICDM 2019: 1480-1485 - [c30]Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo:
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM 2019: 783-791 - [e4]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i7]Amin Vahedian, Xun Zhou, Ling Tong, W. Nick Street, Yanhua Li:
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data. CoRR abs/1905.01281 (2019) - 2018
- [j20]Dixian Zhu, Changjie Cai, Tianbao Yang, Xun Zhou:
A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization. Big Data Cogn. Comput. 2(1): 5 (2018) - [j19]Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch:
Deriving enhanced geographical representations via similarity-based spectral analysis: predicting colorectal cancer survival curves in Iowa. Int. J. Data Min. Bioinform. 21(3): 183-211 (2018) - [j18]Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang:
2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 21-22 (2018) - [c29]Haoyi Xiong, Amin Vahedian, Xun Zhou, Yanhua Li, Jun Luo:
Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach. IWCTS@SIGSPATIAL 2018: 60-69 - [c28]Anqi Liu, Changle Li, Wenwei Yue, Xun Zhou:
Real-Time Traffic Prediction: A Novel Imputation Optimization Algorithm with Missing Data. GLOBECOM 2018: 1-7 - [c27]Zhuoning Yuan, Xun Zhou, Tianbao Yang:
Hetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data. KDD 2018: 984-992 - [c26]Xiaoxuan Zhang, Mingrui Liu, Xun Zhou, Tianbao Yang:
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization. NeurIPS 2018: 3893-3903 - [e3]Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang:
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6035-7 [contents] - [i6]Michael T. Lash, Min Zhang, Xun Zhou, W. Nick Street, Charles F. Lynch:
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. CoRR abs/1809.03323 (2018) - 2017
- [j17]Amr Magdy, Xun Zhou, Yan Huang:
1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2017): Redondo Beach, California, USA - November 7, 2017. ACM SIGSPATIAL Special 9(3): 28-29 (2017) - [j16]Amin Vahedian Khezerlou, Xun Zhou, Lufan Li, Zubair Shafiq, Alex X. Liu, Fan Zhang:
A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results. ACM Trans. Intell. Syst. Technol. 8(6): 74:1-74:24 (2017) - [c25]Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street:
Learning rich geographical representations: Predicting colorectal cancer survival in the state of Iowa. BIBM 2017: 778-785 - [c24]Amin Vahedian, Xun Zhou, Ling Tong, Yanhua Li, Jun Luo:
Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data. SIGSPATIAL/GIS 2017: 34:1-34:10 - [c23]Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong:
See the near future: A short-term predictive methodology to traffic load in ITS. ICC 2017: 1-6 - [c22]Siqie Zhang, Changle Li, Xun Zhou:
A Novel Approach for Mining Road Information from Low Precision GPS Data. NaNA 2017: 268-273 - [e2]Amr Magdy, Xun Zhou, Yan Huang:
Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017, ISBN 978-1-4503-5500-1 [contents] - [e1]Shashi Shekhar, Hui Xiong, Xun Zhou:
Encyclopedia of GIS. Springer 2017, ISBN 978-3-319-17884-4 [contents] - [r1]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal Change Footprint Pattern Discovery. Encyclopedia of GIS 2017: 2133-2148 - [i5]Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong:
See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS. CoRR abs/1701.01917 (2017) - [i4]Michael T. Lash, Yuqi Sun, Xun Zhou, Charles F. Lynch, W. Nick Street:
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa. CoRR abs/1708.04714 (2017) - 2016
- [j15]Chixin Xiao, Zhaoyang Dong, Yan Xu, Ke Meng, Xun Zhou, Xin Zhang:
Rational and self-adaptive evolutionary extreme learning machine for electricity price forecast. Memetic Comput. 8(3): 223-233 (2016) - [j14]Xun Zhou, Chin Keong Ho, Rui Zhang:
Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-Based System. IEEE Trans. Wirel. Commun. 15(5): 3481-3491 (2016) - [c21]Huigui Rong, Xun Zhou, Chang Yang, M. Zubair Shafiq, Alex X. Liu:
The Rich and the Poor: A Markov Decision Process Approach to Optimizing Taxi Driver Revenue Efficiency. CIKM 2016: 2329-2334 - [c20]Xun Zhou, Amin Vahedian Khezerlou, Alex X. Liu, M. Zubair Shafiq, Fan Zhang:
A traffic flow approach to early detection of gathering events. SIGSPATIAL/GIS 2016: 4:1-4:10 - [c19]Xun Zhou, Changle Li, Xiaoming Yuan, Bing Xia, Guoqiang Mao, Lei Xiong:
A Novel Method for Smoothing Raw GPS Data with Low Cost and High Reliability. VTC Fall 2016: 1-5 - 2015
- [j13]Shashi Shekhar, Zhe Jiang, Reem Y. Ali, Emre Eftelioglu, Xun Tang, Venkata M. V. Gunturi, Xun Zhou:
Spatiotemporal Data Mining: A Computational Perspective. ISPRS Int. J. Geo Inf. 4(4): 2306-2338 (2015) - [j12]Xun Zhou, Jing He, Guangyan Huang, Yanchun Zhang:
SVD-based incremental approaches for recommender systems. J. Comput. Syst. Sci. 81(4): 717-733 (2015) - [j11]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning. IEEE Trans. Knowl. Data Eng. 27(6): 1547-1559 (2015) - 2014
- [j10]Zhi Ren, Wenpeng Liu, Xun Zhou, Jun Fang, Qianbin Chen:
Summary-Vector-Based Effective and Fast Immunization for Epidemic-Based Routing in Opportunistic Networks. IEEE Commun. Lett. 18(7): 1183-1186 (2014) - [j9]Sushil K. Prasad, Michael McDermott, Satish Puri, Dhara Shah, Danial Aghajarian, Shashi Shekhar, Xun Zhou:
A vision for GPU-accelerated parallel computation on geo-spatial datasets. ACM SIGSPATIAL Special 6(3): 19-26 (2014) - [j8]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless Information and Power Transfer in Multiuser OFDM Systems. IEEE Trans. Wirel. Commun. 13(4): 2282-2294 (2014) - [j7]Xun Zhou, Jing He, Guangyan Huang, Yanchun Zhang:
Scalable approximating SVD algorithm for recommender systems. Web Intell. Agent Syst. 12(4): 359-373 (2014) - [j6]Xun Zhou, Shashi Shekhar, Reem Y. Ali:
Spatiotemporal change footprint pattern discovery: an inter-disciplinary survey. WIREs Data Mining Knowl. Discov. 4(1): 1-23 (2014) - [c18]Jianping Yin, Chixin Xiao, Xun Zhou, Zhigang Xue, Mingyu Yi, Wenjie Shu:
Constrained multi-objective evolutionary algorithm based on decomposition for environmental/economic dispatch. CICA 2014: 117-124 - [c17]Dev Oliver, Shashi Shekhar, Xun Zhou, Emre Eftelioglu, Michael R. Evans, Qiaodi Zhuang, James M. Kang, Renee Laubscher, Christopher Farah:
Significant Route Discovery: A Summary of Results. GIScience 2014: 284-300 - [c16]Xun Zhou, Chin Keong Ho, Rui Zhang:
Wireless power meets energy harvesting: A joint energy allocation approach. GlobalSIP 2014: 198-202 - [c15]Emre Eftelioglu, Shashi Shekhar, Dev Oliver, Xun Zhou, Michael R. Evans, Yiqun Xie, James M. Kang, Renee Laubscher, Christopher Farah:
Ring-Shaped Hotspot Detection: A Summary of Results. ICDM 2014: 815-820 - [i3]Xun Zhou, Chin Keong Ho, Rui Zhang:
Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach. CoRR abs/1410.1266 (2014) - 2013
- [j5]Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath:
Generic and efficient framework for search trees on flash memory storage systems. GeoInformatica 17(3): 417-448 (2013) - [j4]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff. IEEE Trans. Commun. 61(11): 4754-4767 (2013) - [c14]Xun Zhou, Shashi Shekhar, Dev Oliver:
Discovering persistent change windows in spatiotemporal datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 37-46 - [c13]Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael R. Evans, Satish Puri:
GPGPU-accelerated interesting interval discovery and other computations on GeoSpatial datasets: a summary of results. BigSpatial@SIGSPATIAL 2013: 65-72 - [c12]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless information and power transfer in multiuser OFDM systems. GLOBECOM 2013: 4092-4097 - [c11]Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph F. Knight, Jennifer Corcoran:
Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results. ICDM 2013: 320-329 - [c10]Huaixian Yin, Haibo Ni, Liang Sun, Mingxuan Wang, Xun Zhou:
A caching-list based fast handoff mechanism in wireless mesh networks. ICTC 2013: 402-407 - [i2]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless Information and Power Transfer in Multiuser OFDM Systems. CoRR abs/1308.2462 (2013) - 2012
- [j3]Shashi Shekhar, KwangSoo Yang, Venkata M. V. Gunturi, Lydia Manikonda, Dev Oliver, Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu:
Experiences with evacuation route planning algorithms. Int. J. Geogr. Inf. Sci. 26(12): 2253-2265 (2012) - [c9]Pradeep Mohan, Xun Zhou, Shashi Shekhar:
Quantifying Resolution Sensitivity of Spatial Autocorrelation: A Resolution Correlogram Approach. GIScience 2012: 132-145 - [c8]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless information and power transfer: Architecture design and rate-energy tradeoff. GLOBECOM 2012: 3982-3987 - [c7]Xun Zhou, Jing He, Guangyan Huang, Yanchun Zhang:
A Personalized Recommendation Algorithm Based on Approximating the Singular Value Decomposition (ApproSVD). IAT 2012: 458-464 - [i1]Xun Zhou, Rui Zhang, Chin Keong Ho:
Wireless Information and Power Transfer: Architecture Design and Rate-Energy Tradeoff. CoRR abs/1205.0618 (2012) - 2011
- [j2]Renzhong Feng, Xun Zhou:
A kind of multiquadric quasi-interpolation operator satisfying any degree polynomial reproduction property to scattered data. J. Comput. Appl. Math. 235(5): 1502-1514 (2011) - [c6]Xun Zhou, Shashi Shekhar, Pradeep Mohan, Stefan Liess, Peter K. Snyder:
Discovering interesting sub-paths in spatiotemporal datasets: a summary of results. GIS 2011: 44-53 - [c5]Xun Zhou, Bin Wu, Pin-Han Ho, Xiang Ling:
An Efficient Power Allocation Algorithm for OFDM Based Underlay Cognitive Radio Networks. GLOBECOM 2011: 1-5 - [c4]Mohamed Sarwat, Mohamed F. Mokbel, Xun Zhou, Suman Nath:
FAST: A Generic Framework for Flash-Aware Spatial Trees. SSTD 2011: 149-167 - 2010
- [j1]Xun Zhou, Betsy George, Sangho Kim, Jeffrey M. R. Wolff, Qingsong Lu, Shashi Shekhar:
Evacuation Planning: A Spatial Network Database Approach. IEEE Data Eng. Bull. 33(2): 26-31 (2010)
2000 – 2009
- 2007
- [c3]Xun Zhou, Shengfei Shi, Jizhou Luo, Wei Zhang:
Lifetime Optimized Methods of Correlated Data Gathering on Sensor Networks. SNPD (2) 2007: 3-8 - 2005
- [c2]Xun Zhou, HuaXin Zeng, Yu Lu:
Research for Source Routing Based Multipath Routing Protocol. Communications in Computing 2005: 87-90 - 2003
- [c1]Jie Li, Shuming Gao, Xun Zhou:
Direct incremental transmission of boundary representation. Symposium on Solid Modeling and Applications 2003: 298-303
Coauthor Index
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