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ORCIDJia Zhu 0003
Person information
- affiliation: ZheJiang Normal University, Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, China
- affiliation: South China Normal University, School of Computer Science, China
- affiliation: University of Queensland, Brisbane, Australia
Other persons with the same name
- Jia Zhu — disambiguation page
- Jia Zhu 0001
![[0009-0003-3532-0143]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0003-3532-0143")
— Nanjing University of Posts and Telecommunications, NUPT, School of Telecommunications and Information Engineering, China (and 2 more) - Jia Zhu 0002 — Florida International University, School of Computing and Information Sciences, FL, USA
- Jia Zhu 0004 — National University, School of Computing, Department of Computer Science, Singapore
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2020 – today
- 2024
[j59]Hongji Shu, Chaojun Meng, Pasquale De Meo, Qing Wang, Jia Zhu:
Self-Supervised Hypergraph Learning for Enhanced Multimodal Representation. IEEE Access 12: 20830-20839 (2024)- [j58]Kwame Omono Asamoah, Adjei Peter Darko, Collins Opoku Antwi, Collins Sey, Abigail Hyiaman Osei, Xiaodong Ma, Jia Zhu:
A probabilistic reliable linguistic model for blockchain-based student information management system assessment. Appl. Soft Comput. 159: 111645 (2024) - [j57]Syed Konain Abbas, Muhammad Usman Ghani Khan, Jia Zhu, Raheem Sarwar, Naif R. Aljohani, Ibrahim A. Hameed, Muhammad Umair Hassan:
Vision based intelligent traffic light management system using Faster R-CNN. CAAI Trans. Intell. Technol. 9(4): 932-947 (2024) - [j56]Wanying Liang, Pasquale De Meo, Yong Tang, Jia Zhu:
A Survey of Multi-modal Knowledge Graphs: Technologies and Trends. ACM Comput. Surv. 56(11): 273:1-273:41 (2024) - [j55]Jia Zhu, Xiaodong Ma, Changqin Huang:
Stable Knowledge Tracing Using Causal Inference. IEEE Trans. Learn. Technol. 17: 124-134 (2024) - 2023
- [j54]Kwame Omono Asamoah, Adjei Peter Darko, Collins Opoku Antwi, Seth Larweh Kodjiku, Esther Stacy E. B. Aggrey, Qing Wang, Jia Zhu:
A Blockchain-Based Crowdsourcing Loan Platform for Funding Higher Education in Developing Countries. IEEE Access 11: 24162-24174 (2023) - [j53]Xianqing Wang, Zetao Zheng, Jia Zhu, Weihao Yu:
What is wrong with deep knowledge tracing? Attention-based knowledge tracing. Appl. Intell. 53(3): 2850-2861 (2023) - [j52]Yuling Xing, Jia Zhu, Yu Li, Jin Huang, Jinlong Song:
An improved spatial temporal graph convolutional network for robust skeleton-based action recognition. Appl. Intell. 53(4): 4592-4608 (2023) - [j51]Xuemei Wu, Jie He, Qionghao Huang, Changqin Huang, Jia Zhu, Xiaodi Huang, Hamido Fujita:
FER-CHC: Facial expression recognition with cross-hierarchy contrast. Appl. Soft Comput. 145: 110530 (2023) - [j50]Zhiwen Yan, Ying Chen, Jinlong Song, Jia Zhu:
Multimodal feature fusion based on object relation for video captioning. CAAI Trans. Intell. Technol. 8(1): 247-259 (2023) - [j49]Jia Zhu, Xiaodong Ma, Zhihao Lin, Pasquale De Meo:
A quantum-like approach for text generation from knowledge graphs. CAAI Trans. Intell. Technol. 8(4): 1455-1463 (2023) - [j48]Jia Zhu, Changqin Huang, Pasquale De Meo:
DFMKE: A dual fusion multi-modal knowledge graph embedding framework for entity alignment. Inf. Fusion 90: 111-119 (2023) - [j47]Qing Wang, Jia Zhu, Hongji Shu, Kwame Omono Asamoah, Jianyang Shi, Cong Zhou:
GUDN: A novel guide network with label reinforcement strategy for extreme multi-label text classification. J. King Saud Univ. Comput. Inf. Sci. 35(4): 161-171 (2023) - [j46]Yangjie Qin, Ming Li, Jia Zhu:
Privacy-preserving federated learning framework in multimedia courses recommendation. Wirel. Networks 29(4): 1535-1544 (2023) - [c69]Xinran Cao, Jia Zhu, Changfan Pan, Changqin Huang, Jianyang Shi, Xin Liu:
Modular Joint Training for Speech-Driven 3D Facial Animation. ChineseCSCW (2) 2023: 321-333 - [c68]Xin Liu, Jia Zhu, Changfan Pan, Changqin Huang, Yu Song, Xinran Cao:
Personalized Learning Made Simple: A Deep Knowledge Tracing Model for Individual Cognitive Development. ChineseCSCW (2) 2023: 462-472 - [c67]Wanying Liang, Yong Tang, Jia Zhu:
Social Network Community Detection based on Inner-Community Information Diffusion Simulation Algorithm. CSCWD 2023: 387-392 - [c66]Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen:
Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. ICDE 2023: 123-136 - 2022
- [j45]Jin Huang, Tian Lu, Jia Zhu, Weihao Yu, Tinghua Zhang:
Multi-relational knowledge graph completion method with local information fusion. Appl. Intell. 52(7): 7985-7994 (2022) - [j44]Jing Xiao, Huan Yang, Kun Xie, Jia Zhu, Ji Zhang:
Learning discriminative representation with global and fine-grained features for cross-view gait recognition. CAAI Trans. Intell. Technol. 7(2): 187-199 (2022) - [j43]Xiaodong Ma, Jia Zhu, Zhihao Lin, Shanxuan Chen, Yangjie Qin:
A state-of-the-art survey on solving non-IID data in Federated Learning. Future Gener. Comput. Syst. 135: 244-258 (2022) - [j42]Xiaoying Wang, Yu Ling, Xiang Ling, Xianghuan Li, Zhicheng Li, Kunpeng Hu, Min Dai, Jia Zhu, Yuxiao Du, Qintai Yang:
A particle swarm algorithm optimization-based SVM-KNN algorithm for epileptic EEG recognition. Int. J. Intell. Syst. 37(12): 11233-11249 (2022) - [j41]Xiaoying Wang, Xianghuan Li, Zhuang-Gui Chen, Yu Ling, Pingping Zhang, Zhenye Lu, Yating Li, Jia Zhu, Yuxiao Du, Qintai Yang:
Localization of epileptogenic foci by automatic detection of high-frequency oscillations based on waveform feature templates. Int. J. Intell. Syst. 37(12): 11506-11521 (2022) - [j40]Bo Cheng, Jia Zhu, Meimei Guo:
MultiJAF: Multi-modal joint entity alignment framework for multi-modal knowledge graph. Neurocomputing 500: 581-591 (2022) - [j39]Yu Li, Jia Zhu, Yuling Xing, Zhangyan Dai, Jin Huang, Saeed-Ul Hassan:
Monitoring the Growth Status of Corn Crop from UAV Images Based on Dense Convolutional Neural Network. Int. J. Pattern Recognit. Artif. Intell. 36(12): 2257007:1-2257007:17 (2022) - [j38]Jing Xiao, Haichao Li, Guangzhuo Qu, Hamido Fujita, Yang Cao, Jia Zhu, Changqin Huang:
Hope: heatmap and offset for pose estimation. J. Ambient Intell. Humaniz. Comput. 13(6): 2937-2949 (2022) - [j37]Xiaotao Cui, Jing Xiao, Yang Cao, Jia Zhu:
Multi-grained encoding and joint embedding space fusion for video and text cross-modal retrieval. Multim. Tools Appl. 81(24): 34367-34386 (2022) - [c65]Zhihao Lin, Zhijie Wu, Jia Zhu, Jin Huang:
A Blockchain-based Decentralized Federated Learning Framework with Dual-Committees Consensus. ACAI 2022: 43:1-43:6 - [c64]Zhijie Wu, Jia Zhu, Shi Xu, Zhiwen Yan, Wanying Liang:
LTWNN: A Novel Approach Using Sentence Embeddings for Extracting Diverse Concepts in MOOCs. AI 2022: 763-774 - [c63]Yangjie Qin, Jia Zhu, Jin Huang:
Privacy-Preserving Federated Learning Framework in Knowledge Concept Recommendation. ChineseCSCW (1) 2022: 411-421 - 2021
- [j36]Yuling Xing, Jia Zhu:
Deep learning-based action recognition with 3D skeleton: A survey. CAAI Trans. Intell. Technol. 6(1): 80-92 (2021) - [j35]Jin Huang, Tinghua Zhang, Weihao Yu, Jia Zhu, Ercong Cai:
Community Detection Based on Modularized Deep Nonnegative Matrix Factorization. Int. J. Pattern Recognit. Artif. Intell. 35(2): 2159006:1-2159006:17 (2021) - [j34]Jin Huang, Tinghua Zhang, Jia Zhu, Weihao Yu, Yong Tang, Yang He:
A deep embedding model for knowledge graph completion based on attention mechanism. Neural Comput. Appl. 33(15): 9751-9760 (2021) - [j33]Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang:
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 797-803 (2021) - [c62]Ercong Cai, Jin Huang, Bosong Huang, Shi Xu, Jia Zhu:
GRAE: Graph Recurrent Autoencoder for Multi-view Graph Clustering. ACAI 2021: 72:1-72:9 - [c61]Zhijie Wu, Yangjie Qin, Yu Li, Bo Cheng, Zhihao Lin, Jia Zhu:
Decentralized Predictive Enterprise Resource Planning Framework on Private Blockchain Networks Using Neural Networks. ChineseCSCW (1) 2021: 3-13 - [c60]Chao Chang, Qiang Xu, Yaoxing Wu, Jianguo Li, Jia Zhu, Yong Tang:
Semi-automatic Scholar Encyclopedia Generating System Based on Scholar Social Network. CSCWD 2021: 1058-1062 - [i5]Zezhong Wang, Hongru Wang, Wai-Chung Kwan, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
Prior Omission of Dissimilar Source Domain(s) for Cost-Effective Few-Shot Learning. CoRR abs/2109.05234 (2021) - 2020
- [j32]Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Yong Tang:
A semi-supervised model for knowledge graph embedding. Data Min. Knowl. Discov. 34(1): 1-20 (2020) - [j31]Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu:
Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. Neural Comput. Appl. 32(11): 6421-6433 (2020) - [c59]Jiaqi Lun, Jia Zhu, Yong Tang, Min Yang:
Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring. AAAI 2020: 13389-13396 - [c58]Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung:
Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. AIED (2) 2020: 364-368 - [c57]Shanxuan Chen, Jia Zhu, Zhihao Lin, Jin Huang, Yong Tang:
How to Make Smart Contract Smarter. ChineseCSCW 2020: 705-713 - [c56]Hongru Wang, Xiangru Tang, Sunny Lai, Kwong-Sak Leung, Jia Zhu, Gabriel Pui Cheong Fung, Kam-Fai Wong:
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning. SemEval@COLING 2020: 391-400
2010 – 2019
- 2019
- [j30]Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang:
Improved randomized learning algorithms for imbalanced and noisy educational data classification. Computing 101(6): 571-585 (2019) - [j29]Jia Zhu, Gabriel Pui Cheong Fung, Zeyang Lei, Min Yang, Ying Shen:
An in-depth study of similarity predicate committee. Inf. Process. Manag. 56(3): 381-393 (2019) - [j28]Jia Zhu, Changqin Huang, Min Yang, Gabriel Pui Cheong Fung:
Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Inf. Sci. 473: 190-201 (2019) - [j27]Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu:
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486: 271-286 (2019) - [j26]Min Yang, Wenting Tu, Qiang Qu, Wei Zhou, Qiao Liu, Jia Zhu:
Advanced community question answering by leveraging external knowledge and multi-task learning. Knowl. Based Syst. 171: 106-119 (2019) - [j25]Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung, Junyu Luo:
An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. Int. J. Mach. Learn. Cybern. 10(5): 1151-1163 (2019) - [j24]Yuzhi Liang, Min Yang, Jia Zhu, Siu-Ming Yiu:
Out-domain Chinese new word detection with statistics-based character embedding. Nat. Lang. Eng. 25(2): 239-255 (2019) - [j23]Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen:
MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22(2): 499-515 (2019) - [c55]Zetao Zheng, Jia Zhu, Yong Tang, Jiabing Du:
Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks. APWeb/WAIM (2) 2019: 88-102 - [c54]Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin:
Towards Multi-Pose Guided Virtual Try-On Network. ICCV 2019: 9025-9034 - [c53]Shuangli Shan, Zhixu Li, Yang Li, Qiang Yang, Jia Zhu, Mohamed A. Sharaf, Xiaofang Zhou:
WebPut: A Web-Aided Data Imputation System for the General Type of Missing String Attribute Values. ICDE 2019: 1952-1955 - [c52]Haoye Dong, Xiaodan Liang, Chenxing Zhou, Hanjiang Lai, Jia Zhu, Jian Yin:
Part-Preserving Pose Manipulation for Person Image Synthesis. ICME 2019: 1234-1239 - [c51]Pengyuan Xie, Jing Xiao, Yang Cao, Jia Zhu, Asad Khan:
RefineText: Refining Multi-oriented Scene Text Detection with a Feature Refinement Module. ICME 2019: 1756-1761 - [c50]Yangwo Jian, Jing Xiao, Yang Cao, Asad Khan, Jia Zhu:
Deep Pairwise Ranking with Multi-label Information for Cross-Modal Retrieval. ICME 2019: 1810-1815 - [i4]Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin:
Towards Multi-pose Guided Virtual Try-on Network. CoRR abs/1902.11026 (2019) - 2018
- [j22]Jia Zhu, Xingcheng Wu, Jing Xiao, Changqin Huang, Yong Tang, Ke Deng:
Improved expert selection model for forex trading. Frontiers Comput. Sci. 12(3): 518-527 (2018) - [j21]Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu:
A Topic Drift Model for authorship attribution. Neurocomputing 273: 133-140 (2018) - [j20]Changqin Huang, Haijiao Xu, Liang Xie, Jia Zhu, Chunyan Xu, Yong Tang:
Large-scale semantic web image retrieval using bimodal deep learning techniques. Inf. Sci. 430: 331-348 (2018) - [j19]Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Pui Cheong Fung, Qintai Hu:
A novel approach for entity resolution in scientific documents using context graphs. Inf. Sci. 432: 431-441 (2018) - [j18]Yuwen Zhou, Changqin Huang, Qintai Hu, Jia Zhu, Yong Tang:
Personalized learning full-path recommendation model based on LSTM neural networks. Inf. Sci. 444: 135-152 (2018) - [j17]Min Yang, Yuzhi Liang, Wei Zhao, Wei Xu, Jia Zhu, Qiang Qu:
Task-oriented keyphrase extraction from social media. Multim. Tools Appl. 77(3): 3171-3187 (2018) - [j16]Xingcheng Wu, Jia Zhu, Danyang Xiao, Xueqin Lin, Rui Ding:
GA-ADE: a novel approach based on graph algorithm to improves the detection of adverse drug events. Multim. Tools Appl. 77(3): 3493-3507 (2018) - [j15]Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu:
Personalized response generation by Dual-learning based domain adaptation. Neural Networks 103: 72-82 (2018) - [j14]Jia Zhu, Xingcheng Wu, Xueqin Lin, Changqin Huang, Gabriel Pui Cheong Fung, Yong Tang:
A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering. Scientometrics 114(3): 781-794 (2018) - [c49]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. AAAI 2018: 8109-8110 - [c48]Dingmin Wang, Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong:
A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction. AAAI 2018: 8169-8170 - [c47]Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen:
A Semi-Supervised Network Embedding Model for Protein Complexes Detection. AAAI 2018: 8185-8186 - [c46]Xianqing Wang, Meihua Zhao, Changqin Huang, Jia Zhu, Yong Tang:
Predicting Students' Mood Level Using Multi-feature Fusion Joint Sentiment-Topic Model in Mobile Learning. ChineseCSCW 2018: 316-330 - [c45]Min Yang, Qiang Qu, Jia Zhu, Ying Shen, Zhou Zhao:
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization. CIKM 2018: 1531-1534 - [c44]Min Yang, Qiang Qu, Ying Shen, Qiao Liu, Wei Zhao, Jia Zhu:
Aspect and Sentiment Aware Abstractive Review Summarization. COLING 2018: 1110-1120 - [c43]Fen Yang, Jia Zhu, Jiaqi Lun, Zetao Zheng, Yong Tang, Jian Wu:
A Keyword-based Scholar Recommendation Framework for Biomedical Literature. CSCWD 2018: 247-252 - [c42]Fen Yang, Jia Zhu, Xuming Wang, Xingcheng Wu, Yong Tang, Long Luo:
A Multi-model Fusion Framework based on Deep Learning for Sentiment Classification. CSCWD 2018: 433-437 - [c41]Guangzhuo Qu, Jing Xiao, Jia Zhu, Yang Cao, Changqin Huang:
Cross-Modal Learning to Rank with Adaptive Listwise Constraint. ICASSP 2018: 1658-1662 - [c40]Xuming Wang, Jin Huang, Jia Zhu, Min Yang, Fen Yang:
Facial expression recognition with deep learning. ICIMCS 2018: 10:1-10:4 - [c39]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. NeurIPS 2018: 472-482 - [c38]Hailin Fu, Jianguo Li, Jiemin Chen, Yong Tang, Jia Zhu:
Sequence-Based Recommendation with Bidirectional LSTM Network. PCM (3) 2018: 428-438 - [c37]Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang:
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. SDM 2018: 630-638 - [c36]Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu:
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding. WWW (Companion Volume) 2018: 59-60 - [i3]Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu:
GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding. CoRR abs/1803.02590 (2018) - [i2]Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin:
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis. CoRR abs/1810.11610 (2018) - 2017
- [j13]Chaobo He, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang, Jia Zhu:
A topic community-based method for friend recommendation in large-scale online social networks. Concurr. Comput. Pract. Exp. 29(6) (2017) - [j12]Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Jia Zhu, Jia-Jie Xu, Kai Zheng, Min Zhang:
Crowd-Guided Entity Matching with Consolidated Textual Data. J. Comput. Sci. Technol. 32(5): 858-876 (2017) - [j11]Chuanhua Xu, Jia Zhu, Jin Huang, Zhixu Li, Gabriel Pui Cheong Fung:
A health management tool based smart phone. Multim. Tools Appl. 76(16): 17541-17558 (2017) - [j10]Jin Huang, Bin Li, Jia Zhu, Jian Chen:
Age classification with deep learning face representation. Multim. Tools Appl. 76(19): 20231-20247 (2017) - [c35]Gabriel Pui Cheong Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, Kam-Fai Wong:
NLPTEA 2017 Shared Task - Chinese Spelling Check. NLP-TEA@IJCNLP 2017: 29-34 - [c34]Yan Zhao, Jia Zhu, Mengdi Jia, Wenyan Yang, Kai Zheng:
A Novel Hybrid Friends Recommendation Framework for Twitter. APWeb/WAIM (2) 2017: 83-97 - [c33]Chengzhe Yuan, Dingding Li, Jia Zhu, Yong Tang, Shahbaz Hassan Wasti, Chaobo He, Hai Liu, Ronghua Lin:
Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure. CollaborateCom 2017: 680-689 - [c32]Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang:
A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. CSCWD 2017: 239-244 - [c31]Xueqin Lin, Jia Zhu, Yong Tang, Fen Yang, Bo Peng, Weiling Li:
A Novel Approach for Author Name Disambiguation Using Ranking Confidence. DASFAA Workshops 2017: 169-182 - [c30]Jia Zhu, Yuzhi Liang, Changqin Huang, Min Yang, Jing Xiao, Yong Tang:
A Novel Approach for Adverse Events Detection. KDH@IJCAI 2017: 41-45 - [c29]Yuzhi Liang, Jia Zhu, Yupeng Li, Min Yang, Siu-Ming Yiu:
Relevant Fact Selection for QA via Sequence Labeling. KSEM 2017: 399-409 - [c28]Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, Zigang Cao:
Personalized Response Generation via Domain adaptation. SIGIR 2017: 1021-1024 - [i1]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. CoRR abs/1711.09357 (2017) - 2016
- [j9]Jia Zhu, Chuanhua Xu, Zhixu Li, Gabriel Pui Cheong Fung, Xueqin Lin, Jin Huang, Changqin Huang:
An examination of on-line machine learning approaches for pseudo-random generated data. Clust. Comput. 19(3): 1309-1321 (2016) - [j8]Jia Zhu, Qing Xie, Shoou-I Yu, Wai-Hung Collin Wong:
Exploiting link structure for web page genre identification. Data Min. Knowl. Discov. 30(3): 550-575 (2016) - [j7]Qing Xie, Su Wang, Jia Zhu, Xiangliang Zhang:
Modeling and predicting AD progression by regression analysis of sequential clinical data. Neurocomputing 195: 50-55 (2016) - [j6]Jia Zhu, Gabriel Pui Cheong Fung, Wai-Hung Collin Wong, Zhixu Li, Chuanhua Xu:
Evaluating the Pros and Cons of Different Peer Review Policies via Simulation. Sci. Eng. Ethics 22(4): 1073-1094 (2016) - [c27]Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang:
SCHOLAT: An Innovative Academic Information Service Platform. ADC 2016: 453-456 - [c26]Yang Cao, Jia Zhu, Fang Gao:
An Algorithm for Mining Moving Flock Patterns from Pedestrian Trajectories. APWeb Workshops 2016: 310-321 - [c25]Jia Zhu, Jing Yang, Jing Xiao, Changqin Huang, Gansen Zhao, Yong Tang:
Online Prediction for Forex with an Optimized Experts Selection Model. APWeb (1) 2016: 371-382 - [c24]Bu-Xiao Wu, Jing Xiao, Jia Zhu, Chen Ding:
An Adaptive kNN Using Listwise Approach for Implicit Feedback. APWeb (1) 2016: 519-530 - [c23]Danyang Xiao, Jia Zhu, Yong Tang, Lingxiao Chen, Jingmin Wei:
PCMiner: An Extensible System for Analysing and Detecting Protein Complexes. APWeb (2) 2016: 529-532 - [c22]Xingcheng Wu, Jia Zhu, Yong Tang, Rui Ding, Xueqin Lin, Chuanhua Xu:
MASM: A Novel Movie Analysis System Based on Microblog. APWeb (2) 2016: 533-536 - [c21]Shichao Dong, Gabriel Pui Cheong Fung, Binyang Li, Baolin Peng, Ming Liao, Jia Zhu, Kam-Fai Wong:
ACE: Automatic Colloquialism, Typographical and Orthographic Errors Detection for Chinese Language. COLING (Demos) 2016: 194-197 - [c20]