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2020 – today
- 2024
[j46]Hao Dong
, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329: 104085 (2024)- [j45]Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou:
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. 25(5) (2024) - [j44]Qinlong Wang, Tingfeng Lan, Yinghao Tang, Bo Sang, Ziling Huang, Yiheng Du, Haitao Zhang, Jian Sha, Hui Lu, Yuanchun Zhou, Ke Zhang, Mingjie Tang:
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the cloud. Proc. VLDB Endow. 17(12): 4130-4144 (2024) - [j43]Wentao Cui, Meng Xiao, Ludi Wang, Xuezhi Wang, Yi Du, Yuanchun Zhou:
Automated taxonomy alignment via large language models: bridging the gap between knowledge domains. Scientometrics 129(9): 5287-5312 (2024) - [j42]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. ACM Trans. Knowl. Discov. Data 18(3): 71:1-71:21 (2024) - [j41]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18(4): 76:1-76:22 (2024) - [j40]Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong:
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18(2): 18:1-18:26 (2024) - [j39]Pengfei Wang, Daqing Wu, Chong Chen, Kunpeng Liu, Yanjie Fu, Jianqiang Huang, Yuanchun Zhou, Jianfeng Zhan, Xiansheng Hua:
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions. ACM Trans. Web 18(2): 22:1-22:21 (2024) - [c67]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. DASFAA (7) 2024: 172-187 - [c66]Ran Zhang, Xuezhi Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
M2Mol: Multi-view Multi-granularity Molecular Representation Learning for Property Prediction. DASFAA (7) 2024: 264-274 - [c65]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [c64]Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu:
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. KDD 2024: 3966-3976 - [c63]Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Yuanchun Zhou, Mingjie Tang, Jianguo Wang:
A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System. SIGMOD Conference Companion 2024: 504-507 - [c62]Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. WWW 2024: 1035-1044 - [i38]Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong:
DEWP: Deep Expansion Learning for Wind Power Forecasting. CoRR abs/2401.00644 (2024) - [i37]Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. CoRR abs/2402.01231 (2024) - [i36]Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou:
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation. CoRR abs/2402.12405 (2024) - [i35]Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou:
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR abs/2402.16424 (2024) - [i34]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding. CoRR abs/2404.06167 (2024) - [i33]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i32]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i31]Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu:
Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning. CoRR abs/2405.16879 (2024) - [i30]Ludi Wang, Xueqing Chen, Yi Du, Yuanchun Zhou, Yang Gao, Wenjuan Cui:
CataLM: Empowering Catalyst Design Through Large Language Models. CoRR abs/2405.17440 (2024) - [i29]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. CoRR abs/2406.03505 (2024) - [i28]Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao:
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR abs/2406.07404 (2024) - [i27]Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao:
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. CoRR abs/2406.07418 (2024) - [i26]Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao:
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR abs/2407.12338 (2024) - [i25]Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou:
BioRAG: A RAG-LLM Framework for Biological Question Reasoning. CoRR abs/2408.01107 (2024) - 2023
- [j38]Ran Zhang, Xuezhi Wang, Pengfei Wang, Zhen Meng, Wenjuan Cui, Yuanchun Zhou:
HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction. Briefings Bioinform. 24(6) (2023) - [j37]Haoteng Yan, Ronghao Wang, Shuai Ma, Daoran Huang, Si Wang, Jie Ren, Changfa Lu, Xin Chen, Xiaoyong Lu, Zikai Zheng, Weiqi Zhang, Jing Qu, Yuanchun Zhou, Guang-Hui Liu:
Lineage Landscape: a comprehensive database that records lineage commitment across species. Nucleic Acids Res. 51(D1): 1061-1066 (2023) - [j36]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9(1): 186-199 (2023) - [j35]Fayaz Ali Dharejo, Muhammad Zawish, Farah Deeba, Yuanchun Zhou, Kapal Dev, Sunder Ali Khowaja, Nawab Muhammad Faseeh Qureshi:
Multimodal-Boost: Multimodal Medical Image Super-Resolution Using Multi-Attention Network With Wavelet Transform. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2420-2433 (2023) - [j34]Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. IEEE Trans. Knowl. Data Eng. 35(3): 2736-2749 (2023) - [j33]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. 35(9): 9685-9699 (2023) - [c61]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. AAAI 2023: 7522-7529 - [c60]Yi Du, Ludi Wang, Mengyi Huang, Dongze Song, Wenjuan Cui, Yuanchun Zhou:
Autodive: An Integrated Onsite Scientific Literature Annotation Tool. ACL (demo) 2023: 76-85 - [c59]Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - [c58]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM 2023: 956-961 - [c57]Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui:
RDKG: A Reinforcement Learning Framework for Disease Diagnosis on Knowledge Graph. ICDM 2023: 1049-1054 - [c56]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (Workshops) 2023: 1424-1429 - [c55]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI 2023: 2086-2094 - [c54]Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI 2023: 2279-2287 - [c53]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS 2023 - [c52]Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu:
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. SDM 2023: 343-351 - [c51]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. SDM 2023: 667-675 - [c50]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - [i24]Wei Fan, Pengyang Wang, Dongkun Wang, Dongjie Wang, Yuanchun Zhou, Yanjie Fu:
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting. CoRR abs/2302.14829 (2023) - [i23]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR abs/2304.12604 (2023) - [i22]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR abs/2306.16893 (2023) - [i21]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR abs/2309.01717 (2023) - [i20]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR abs/2309.03251 (2023) - [i19]Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR abs/2309.10773 (2023) - [i18]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR abs/2309.13618 (2023) - [i17]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. CoRR abs/2310.05318 (2023) - 2022
- [j32]Farah Deeba, Fayaz Ali Dharejo, Muhammad Zawish, Fida Hussain Memon, Kapal Dev, Rizwan Ali Naqvi, Yuanchun Zhou, Yi Du:
A novel image dehazing framework for robust vision-based intelligent systems. Int. J. Intell. Syst. 37(12): 10495-10513 (2022) - [j31]Farah Deeba, Fayaz Ali Dharejo, Yuanchun Zhou, Parvez Ahmed Memon, Hira Memon, Saeed Ahmed Khan, Nauman Ali Larik:
Digital image watermarking in sparse domain. Inf. Secur. J. A Glob. Perspect. 31(2): 237-250 (2022) - [j30]Chengzan Li, Yuanchun Zhou, Xiaohuan Zheng, Zeyu Zhang, Lulu Jiang, Zongwen Li, Pengyao Wang, Jianhui Li, Songyuan Xu, Zhanjie Wang:
Tracing the footsteps of open research data in China. Learn. Publ. 35(1): 46-55 (2022) - [j29]Qinglan Sun, Chang Shu, Wenyu Shi, Yingfeng Luo, Guomei Fan, Jingyi Nie, Yuhai Bi, Qihui Wang, Jianxun Qi, Jian Lu, Yuanchun Zhou, Zhihong Shen, Zhen Meng, Xinjiao Zhang, Zhengfei Yu, Shenghan Gao, Linhuan Wu, Juncai Ma, Songnian Hu:
VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes. Nucleic Acids Res. 50(D1): 888-897 (2022) - [j28]Fayaz Ali Dharejo, Muhammad Zawish, Yuanchun Zhou, Steven Davy, Kapal Dev, Sunder Ali Khowaja, Yanjie Fu, Nawab Muhammad Faseeh Qureshi:
FuzzyAct: A Fuzzy-Based Framework for Temporal Activity Recognition in IoT Applications Using RNN and 3D-DWT. IEEE Trans. Fuzzy Syst. 30(11): 4578-4592 (2022) - [j27]Yang Yang, Hongchen Wei, Zhen-Qiang Sun, Guangyu Li, Yuanchun Zhou, Hui Xiong, Jian Yang:
S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification. ACM Trans. Knowl. Discov. Data 16(2): 34:1-34:27 (2022) - [c49]Rui Zhang, Jianjun Yu, Yuanchun Zhou:
AuxPOS: Improving Grammatical Correctness with Big Data Based Text Summarization. IEEE Big Data 2022: 1192-1201 - [c48]Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Unifying Human Mobility Forecasting and Trajectory Semantics Augmentation via Hawkes Process Based LSTM. SDM 2022: 711-719 - [i16]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou:
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. CoRR abs/2203.10922 (2022) - [i15]Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou:
Self-Optimizing Feature Transformation. CoRR abs/2209.08044 (2022) - [i14]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. CoRR abs/2209.13519 (2022) - [i13]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i12]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR abs/2212.13402 (2022) - [i11]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. CoRR abs/2212.13408 (2022) - 2021
- [j26]Fayaz Ali Dharejo, Yuanchun Zhou, Farah Deeba, Munsif Ali Jatoi, Yi Du, Xuezhi Wang:
A remote-sensing image enhancement algorithm based on patch-wise dark channel prior and histogram equalisation with colour correction. IET Image Process. 15(1): 47-56 (2021) - [j25]Farah Deeba, Yuanchun Zhou, Fayaz Ali Dharejo, Muhammad Ashfaq Khan, Bhagwan Das, Xuezhi Wang, Yi Du:
A plexus-convolutional neural network framework for fast remote sensing image super-resolution in wavelet domain. IET Image Process. 15(8): 1679-1687 (2021) - [j24]Wenyu Shi, Qinglan Sun, Guomei Fan, Hideaki Sugawara, Moriya Ohkuma, Takashi Itoh, Yuguang Zhou, Man Cai, Song-Gun Kim, Jung-Sook Lee, Ivo Sedlacek, David R. Arahal, Teresa Lucena, Hiroko Kawasaki, Lyudmila Evtushenko, Bevan S. Weir, Sarah Alexander, Dlauchy Dénes, Somboon Tanasupawat, Lily Eurwilaichitr, Supawadee Ingsriswang, Bruno Gomez-Gil, Manzour H. Hazbón, Marco A. Riojas, Chatrudee Suwannachart, Su Yao, Peter Vandamme, Fang Peng, Zenghui Chen, Dongmei Liu, Xiuqiang Sun, Xinjiao Zhang, Yuanchun Zhou, Zhen Meng, Linhuan Wu, Juncai Ma:
gcType: a high-quality type strain genome database for microbial phylogenetic and functional research. Nucleic Acids Res. 49(Database-Issue): D694-D705 (2021) - [j23]Xiaohua Zhou, Xuezhi Wang, Yuanchun Zhou, Qinghui Lin, Jianghua Zhao, Xianghai Meng:
RSIMS: Large-Scale Heterogeneous Remote Sensing Images Management System. Remote. Sens. 13(9): 1815 (2021) - [j22]Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou, Bhagwan Das, Munsif Ali Jatoi, Muhammad Zawish, Yi Du, Xuezhi Wang:
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution. ACM Trans. Intell. Syst. Technol. 12(6): 71:1-71:20 (2021) - [j21]Farah Deeba, Yuanchun Zhou, Fayaz Ali Dharejo, Yi Du, Xuezhi Wang, She Kun:
Multi-scale Single Image Super-Resolution with Remote-Sensing Application Using Transferred Wide Residual Network. Wirel. Pers. Commun. 120(1): 323-342 (2021) - [c47]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. AAAI 2021: 4410-4417 - [c46]Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). AAAI 2021: 15871-15872 - [c45]Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du:
Data Augmentation for Graph Convolutional Network on Semi-supervised Classification. APWeb/WAIM (2) 2021: 33-48 - [c44]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. ICDM 2021: 757-766 - [c43]Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. PAKDD (3) 2021: 181-193 - [i10]Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. CoRR abs/2101.02634 (2021) - [i9]Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. CoRR abs/2102.10826 (2021) - [i8]Fayaz Ali Dharejo, Farah Deeba, Yuanchun Zhou, Bhagwan Das, Munsif Ali Jatoi, Muhammad Zawish, Yi Du, Xuezhi Wang:
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution. CoRR abs/2104.10268 (2021) - [i7]Zhengzheng Tang, Ziyue Qiao, Xuehai Hong, Yang Wang, Fayaz Ali Dharejo, Yuanchun Zhou, Yi Du:
Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification. CoRR abs/2106.08848 (2021) - [i6]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR abs/2110.07336 (2021) - [i5]Farah Deeba, Fayaz Ali Dharejo, Muhammad Zawish, Yuanchun Zhou, Kapal Dev, Sunder Ali Khowaja, Nawab Muhammad Faseeh Qureshi:
Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform. CoRR abs/2110.11684 (2021) - 2020
- [j20]Farah Deeba, Kun She, Fayaz Ali Dharejo, Yuanchun Zhou:
Wavelet-Based Enhanced Medical Image Super Resolution. IEEE Access 8: 37035-37044 (2020) - [j19]Shuyi Du, Ruifei Wang, Chenji Wei, Yuhe Wang, Yuanchun Zhou, Jiulong Wang, Hongqing Song:
The Connectivity Evaluation Among Wells in Reservoir Utilizing Machine Learning Methods. IEEE Access 8: 47209-47219 (2020) - [j18]Farah Deeba, Kun She, Fayaz Ali Dharejo, Yuanchun Zhou:
Lossless digital image watermarking in sparse domain by using K-singular value decomposition algorithm. IET Image Process. 14(6): 1005-1014 (2020) - [j17]Farah Deeba, Kun She, Fayaz Ali Dharejo, Yuanchun Zhou:
Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm. IET Image Process. 14(11): 2365-2375 (2020) - [j16]Fayaz Ali Dharejo, Yuanchun Zhou, Farah Deeba, Yi Du:
A Color Enhancement Scene Estimation Approach for Single Image Haze Removal. IEEE Geosci. Remote. Sens. Lett. 17(9): 1613-1617 (2020) - [c42]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. ICDM 2020: 432-441 - [c41]Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou:
A Crowdsourcing-Based Platform for Labelling Remote Sensing Images. IGARSS 2020: 3227-3230 - [c40]Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien A. Hua:
Exploiting Mutual Information for Substructure-aware Graph Representation Learning. IJCAI 2020: 3415-3421 - [i4]Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, Yuanchun Zhou:
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning. CoRR abs/2008.10003 (2020) - [i3]Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion. CoRR abs/2012.07011 (2020)
2010 – 2019
- 2019
- [c39]Ziyue Qiao, Yi Du, Yanjie Fu, Pengfei Wang, Yuanchun Zhou:
Unsupervised Author Disambiguation using Heterogeneous Graph Convolutional Network Embedding. IEEE BigData 2019: 910-919 - 2018
- [j15]Huajin Wang, Jianhui Li, Zhihong Shen, Yuanchun Zhou:
基于ORC元数据的Hive Join查询Reducer负载均衡方法 (ORC Metadata Based Reducer Load Balancing Method for Hive Join Queries). 计算机科学 45(3): 158-164 (2018) - [j14]Yi Du, Lei Ren, Yuanchun Zhou, Jianhui Li, Feng Tian, Guozhong Dai:
Banded choropleth map. Pers. Ubiquitous Comput. 22(3): 503-510 (2018) - [j13]Pengfei Wang, Guannan Liu, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Spotting Trip Purposes from Taxi Trajectories: A General Probabilistic Model. ACM Trans. Intell. Syst. Technol. 9(3): 29:1-29:26 (2018) - [c38]Huajin Wang, Jianhui Li, Zhihong Shen, Yuanchun Zhou:
Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach. CCGrid 2018: 422-431 - [c37]Yuanhui Ni, Weiwen Chen, Wenjuan Cui, Yuanchun Zhou, Keni Qiu:
Power optimization through peripheral circuit reusing integrated with loop tiling for RRAM crossbar-based CNN. DATE 2018: 1183-1186 - [c36]Jianghua Zhao, Xuezhi Wang, Yuanchun Zhou, Qiming Qin:
Towards a Framework for Offering Remote Sensing Data in an Analysis-Ready Format. IGARSS 2018: 5258-5261 - [c35]Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou:
Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure. PAKDD (1) 2018: 525-537 - 2017
- [j12]Wenjuan Cui, Pengfei Wang, Yi Du, Xin Chen, Danhuai Guo, Jianhui Li, Yuanchun Zhou:
An algorithm for event detection based on social media data. Neurocomputing 254: 53-58 (2017) - [j11]Yi Du, CuiXia Ma, Chao Wu, Xiaowei Xu, Yike Guo, Yuanchun Zhou, Jianhui Li:
A Visual Analytics Approach for Station-Based Air Quality Data. Sensors 17(1): 30 (2017) - [j10]Yuanchun Zhou, Yang Zhang, Yong Ge, Zhenghua Xue, Yanjie Fu, Danhuai Guo, Jing Shao, Tiangang Zhu, Xuezhi Wang, Jianhui Li:
An efficient data processing framework for mining the massive trajectory of moving objects. Comput. Environ. Urban Syst. 61: 129-140 (2017) - [c34]Wenjuan Cui, Yi Du, Zhihong Shen, Yuanchun Zhou, Jianhui Li:
Personalized microblog recommendation using sentimental features. BigComp 2017: 455-456 - [i2]Huajin Wang, Jianhui Li, Zhihong Shen, Yuanchun Zhou:
Approximations and Bounds for (n, k) Fork-Join Queues: A Linear Transformation Approach. CoRR abs/1707.08860 (2017) - 2016
- [c33]Wenjuan Cui, Pengfei Wang, Xin Chen, Yi Du, Danhuai Guo, Yuanchun Zhou, Jianhui Li:
How to Use the Social Media Data in Assisting Restaurant Recommendation. DASFAA Workshops 2016: 134-141 - [c32]Danhuai Guo, Yuanchun Zhou, Yingqiu Zhu, Jianhui Li:
Species Distribution Modeling via Spatial Bagging of Multiple Conditional Random Fields. DASFAA (2) 2016: 437-450 - [c31]Fengyang Wang, Xuezhi Wang, Wenjuan Cui, Xiao Xiao, Yuanchun Zhou, Jianhui Li:
Distributed retrieval for massive remote sensing image metadata on spark. IGARSS 2016: 5909-5912 - [c30]Yi Du, Lei Ren, Yuanchun Zhou, Jianhui Li:
A Model-Driven Visualization System Based on DVDL. Monterey Workshop 2016: 11-24 - 2015
- [j9]Zhen Meng, Hui Dong, Jianhui Li, Zhiduan Chen, Yuanchun Zhou, Xuezhi Wang, Shouzhou Zhang:
Darwintree: A Molecular Data Analysis and Application Environment for Phylogenetic Study. Data Sci. J. 14: 10 (2015) - [j8]Danhuai Guo, Ziqi Zhao, Wei Xu, Jinsong Lan, Tao Zhang, Shuguang Liu, Jianhui Li, Yuanchun Zhou:
How to Find a Comfortable Bus Route - Towards Personalized Information Recommendation Services. Data Sci. J. 14: 14 (2015) - [c29]Qingchun Yan, Danhuai Guo, Wenjuan Cui, Jianhui Li, Yuanchun Zhou:
How to use open source data to assess infection disease risk: A framework and applications. Geoinformatics 2015: 1-5 - [c28]Jianghua Zhao, Xuezhi Wang, Can Sun, Yun Li, Yuanchun Zhou, Jianhui Li:
An effective method of optimizing geospatial metadata retrieval. Geoinformatics 2015: 1-4 - [c27]Danhuai Guo, Yingqiu Zhu, Wei Xu, Yong Ge, Yuanchun Zhou, Jianhui Li:
How to Find Appropriate Automobile Exhibition Halls: Towards a Personalized Recommendation Service for Auto Show. ICDM Workshops 2015: 1025-1030 - [c26]Xiao Xiao, Yong Ge, Yunchang Guo, Danhuai Guo, Yi Shen, Yuanchun Zhou, Jianhui Li:
Automated Detection for Probable Homologous Foodborne Disease Outbreaks. PAKDD (1) 2015: 563-575 - 2014
- [j7]Xuezhi Wang, Jianghua Zhao, Yuanchun Zhou, Jianhui Li:
The Geospatial Data Cloud: An Implementation of Applying Cloud Computing in Geosciences. Data Sci. J. 13: 254-264 (2014) - [j6]Yuanchun Zhou, MingJie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan:
Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intell. Syst. 29(4): 10-17 (2014) - [c25]Bo Liu, Liang Wu, Qiuxiang Dong, Yuanchun Zhou:
Large-Scale Heterogeneous Program Retrieval through Frequent Pattern Discovery and Feature Correlation Analysis. BigData Congress 2014: 780-781 - [c24]Zhen Meng, Jing Shao, Wei Cao, Jianhui Li, Yuanchun Zhou, Xuezhi Wang:
RapidTree: A solution to rapid reconstruction phylogenetic tree. FSKD 2014: 513-517 - [c23]Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Jianhui Li, Yuanchun Zhou, Hui Xiong:
Heterogeneous Metric Learning with Content-Based Regularization for Software Artifact Retrieval. ICDM 2014: 610-619 - [c22]Jinsong Lan, Cheng Long, Raymond Chi-Wing Wong, Youyang Chen, Yanjie Fu, Danhuai Guo, Shuguang Liu, Yong Ge, Yuanchun Zhou, Jianhui Li:
A New Framework for Traffic Anomaly Detection. SDM 2014: 875-883 - [c21]Huajin Wang, Jianhui Li, Haiming Zhang, Yuanchun Zhou:
Benchmarking Replication and Consistency Strategies in Cloud Serving Databases: HBase and Cassandra. BPOE@ASPLOS/VLDB 2014: 71-82 - [c20]Liang Wu, Bin Cao, Yuanchun Zhou, Jianhui Li:
Improving query suggestion through noise filtering and query length prediction. WWW (Companion Volume) 2014: 399-400 - [i1]Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li:
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. CoRR abs/1409.7165 (2014) - 2013
- [j5]Yuwei Wang, Yuanchun Zhou, Ying Liu, Ze Luo, Danhuai Guo, Jing Shao, Fei Tan, Liang Wu, Jianhui Li, Baoping Yan:
A grid-based clustering algorithm for wild bird distribution. Frontiers Comput. Sci. 7(4): 475-485 (2013) - [c19]Qingling Chang, Shiting Xu, Yuanchun Zhou, Jing Shao, Jianhui Li, Baoping Yan:
Linked Data Platform D2R +. CSWS 2013: 11-22 - [c18]Liang Wu, Alvin Chin, Guandong Xu, Liang Du, Xia Wang, Kangjian Meng, Yonggang Guo, Yuanchun Zhou:
Who Will Follow Your Shop? Exploiting Multiple Information Sources in Finding Followers. DASFAA (2) 2013: 401-415 - [c17]Yuanchun Zhou, Jing Shao, Xuezhi Wang, Ze Luo, Jianhui Li, Baoping Yan:
Bird-SDPS: A Migratory Birds' Spatial Distribution Prediction System. e-Science 2013: 9-16 - [c16]Yuwei Wang, Ze Luo, Gang Qin, Yuanchun Zhou, Danhuai Guo, Baoping Yan:
Mining Common Spatial-Temporal Periodic Patterns of Animal Movement. e-Science 2013: 17-26 - [c15]Jianhui Li, Zhen Meng, Yanfei Hou, Yuanchun Zhou, Yanping Gao:
PartFastTree: Constructing large phylogenetic trees and estimating their reliability. ICNC 2013: 1052-1056 - [c14]Tiangang Zhu, Yuanchun Zhou, Yang Zhang, Zhenghua Xue, Jiwu Bai, Jianhui Li:
An Efficient Strategy of Building Distributed Index Based on Lucene. WAIM Workshops 2013: 40-45 - [c13]Jianhui Li, Yuanchun Zhou, Wei Shang, Cungen Cao, Zhihong Shen, Fenglei Yang, Xiao Xiao, Danhuai Guo:
A cloud Computation Architecture for Unconventional Emergency Management. WAIM Workshops 2013: 187-198 - 2011
- [j4]MingJie Tang, Yuanchun Zhou, Jinyan Li, Weihang Wang, Peng Cui, YuanSheng Hou, Ze Luo, Jianhui Li, Fuming Lei, Baoping Yan:
Exploring the wild birds' migration data for the disease spread study of H5N1: a clustering and association approach. Knowl. Inf. Syst. 27(2): 227-251 (2011) - [c12]Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang, Jianhui Li:
Generating Syntactic Tree Templates for Feature-Based Opinion Mining. ADMA (2) 2011: 1-12 - [c11]Shasha Li, Yuanchun Zhou, Jianhui Li, Ze Luo, Zheng Kou, Tianxian Li, Baoping Yan:
Application of Data Mining in Research of Avian Influenza Virus Cross-Species Infection. eScience 2011: 89-96 - [c10]Ze Luo, Baoping Yan, Yuanchun Zhou, Jian Li, MingJie Tang, Haiming Zhang, Jing Shao, Shasha Li, Fumin Lei, Peng Cui, Tianxian Li, Zheng Kou, YuanSheng Hou, Yubang He, Zhi Xing:
e-Science Practice for Wild Birds' Monitoring and Protection in Qinghai Lake Region. eScience 2011: 355-362 - [c9]Zhenghua Xue, Jianhui Li, Yuanchun Zhou, Kang Chao, Weiguo Zhang:
Self-configuration model of service on large-scale server cluster system. EMEIT 2011: 708-712 - [c8]Zhenghua Xue, Jianhui Li, Geng Shen, Yuanchun Zhou, Yang Zhang:
A customized dynamic array for job scheduling queue of a large-scale server cluster. EMEIT 2011: 841-844 - [p1]Baoping Yan, Wenzhuang Gui, Ze Luo, Gang Qin, Jian Li, Kai Nan, Zhonghua Lu, Yuanchun Zhou:
e-Science, the Way Leading to Modernization of Sciences and Technologies: e-Science Practice and Thought in Chinese Academy of Sciences. Guide to e-Science 2011: 507-532 - 2010
- [j3]Weizhong Lu, Yuanchun Zhou, Lei Liu, Baoping Yan:
An IDA-Based Parallel Storage Scheme in the Scientific Data Grid. Data Sci. J. 9: 29-41 (2010) - [c7]Haiming Zhang, Yuanchun Zhou, Jianhui Li, Xuezhi Wang, Baoping Yan:
Analyze the Wild Birds' Migration Tracks by MPI-Based Parallel Clustering Algorithm. ADMA (1) 2010: 383-393 - [c6]MingJie Tang, Weihang Wang, Yexi Jiang, Yuanchun Zhou, Jinyan Li, Peng Cui, Ying Liu, Baoping Yan:
Birds Bring Flues? Mining Frequent and High Weighted Cliques from Birds Migration Networks. DASFAA (2) 2010: 359-369
2000 – 2009
- 2009
- [j2]Weizhong Lu, Yuanchun Zhou, Kaichao Wu, Baoping Yan:
Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid. Data Sci. J. 8: 113-124 (2009) - [c5]MingJie Tang, Yuanchun Zhou, Peng Cui, Haiting Zhang, Liang Hu, YuanSheng Hou, Baoping Yan:
Exploring the Spatial Distribution of Bird Habitat with Cluster Analysis. ACIS-ICIS 2009: 130-135 - [c4]MingJie Tang, Yuanchun Zhou, Peng Cui, Weihang Wang, Jinyan Li, Haiting Zhang, YuanSheng Hou, Baoping Yan:
Discovery of Migration Habitats and Routes of Wild Bird Species by Clustering and Association Analysis. ADMA 2009: 288-301 - [c3]Jie Cheng, Xiaoguang Lin, Yuanchun Zhou, Jianhui Li:
A Web Based Workflow System for Distributed Atmospheric Data Processing. ISPA 2009: 584-588 - [c2]Zhiyi Huang, Qingling Chang, Zhihong Shen, Yuanchun Zhou, Baoping Yan, Lei Liu:
Design and Implementation of an XML-Based Universal Mobile Data Acquisition System. SKG 2009: 456-457 - 2007
- [j1]Yuanchun Zhou, Yun Xiao, Kaichao Wu, Baoping Yan:
A Scalable Framework and Prototype for CAS e-Science. Data Sci. J. 6: 385-392 (2007) - 2005
- [c1]Qiang Tong, Baoping Yan, Yuanchun Zhou:
Mining Quantitative Association Rules on Overlapped Intervals. ADMA 2005: 43-50
Coauthor Index
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