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ORCIDNicholas Jing Yuan
Jing Yuan 0007
Person information
- affiliation: Huawei Cloud8AI, Hangzhou, Zhejiang, China
- affiliation (former): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Jing Yuan — disambiguation page
- Jing Yuan 0001
![[0000-0002-3548-5875]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3548-5875")
— Xidian University, School of Mathematics and Statistics, Xi'an, China (and 2 more) - Jing Yuan 0002 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA (and 2 more)
- Jing Yuan 0003 — Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong
- Jing Yuan 0004 — Nankai University, College of Computer and Control Engineering, Tianjin, China (and 1 more)
- Jing Yuan 0005 — Heidelberg University, Germany (and 1 more)
- Jing Yuan 0006 — University of Illinois at Chicago, Computer Science Department, IL, USA
- Jing Yuan 0008 — University of Chinese Academy of Sciences, Beijing, China (and 2 more)
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2020 – today
- 2024
[j27]Weidong He, Zhi Li, Hao Wang, Tong Xu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. ACM Trans. Intell. Syst. Technol. 15(3): 45:1-45:25 (2024)- [j26]Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan:
Multi-Modal Knowledge Graph Construction and Application: A Survey. IEEE Trans. Knowl. Data Eng. 36(2): 715-735 (2024) - [c78]Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong:
COMET: NFT Price Prediction with Wallet Profiling. KDD 2024: 5893-5904 - [i22]Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong:
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. CoRR abs/2404.12633 (2024) - [i21]Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong:
COMET: NFT Price Prediction with Wallet Profiling. CoRR abs/2405.10640 (2024) - 2023
- [j25]Xin Liu, Anan Li, Yue Luo, Shengda Bao, Tao Jiang, Xiangning Li, Jing Yuan, Zhao Feng:
An interactive image segmentation method for the anatomical structures of the main olfactory bulb with micro-level resolution. Frontiers Neuroinformatics 17 (2023) - [j24]Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, Enhong Chen:
Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8297-8309 (2023) - [c77]Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo:
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation. CVPR 2023: 10219-10228 - [c76]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [c75]Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, Qi Zhang:
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning. ACM Multimedia 2023: 6831-6840 - [i20]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i19]Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, Qi Zhang:
Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning. CoRR abs/2306.11731 (2023) - 2022
- [c74]Jinzheng He, Zhou Zhao, Yi Ren, Jinglin Liu, Baoxing Huai, Nicholas Jing Yuan:
Flow-Based Unconstrained Lip to Speech Generation. AAAI 2022: 843-851 - [c73]Jinglin Liu, Zhiying Zhu, Yi Ren, Wencan Huang, Baoxing Huai, Nicholas Jing Yuan, Zhou Zhao:
Parallel and High-Fidelity Text-to-Lip Generation. AAAI 2022: 1738-1746 - [c72]Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin:
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CVPR 2022: 4583-4593 - [c71]Yuxin Kong, Canjie Luo, Weihong Ma, Qiyuan Zhu, Shenggao Zhu, Nicholas Jing Yuan, Lianwen Jin:
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator. CVPR 2022: 13472-13481 - [c70]Ruijun Sun, Zhi Li, Qi Liu, Zhefeng Wang, Xinyu Duan, Baoxing Huai, Nicholas Jing Yuan:
Multi-Sentence Matching via Exploiting List-level Semantics Expansion. ICKG 2022: 249-256 - [c69]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. IJCAI 2022: 4552-4558 - [c68]Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen:
Multi-modal Siamese Network for Entity Alignment. KDD 2022: 118-126 - [c67]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan:
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. NAACL-HLT (Findings) 2022: 1863-1873 - [i18]Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, Nicholas Jing Yuan:
Multi-Modal Knowledge Graph Construction and Application: A Survey. CoRR abs/2202.05786 (2022) - [i17]Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin:
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. CoRR abs/2203.10209 (2022) - [i16]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan:
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. CoRR abs/2204.05544 (2022) - [i15]Yuxin Kong, Canjie Luo, Weihong Ma, Qiyuan Zhu, Shenggao Zhu, Nicholas Jing Yuan, Lianwen Jin:
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator. CoRR abs/2205.00146 (2022) - [i14]Ludan Ruan, Yiyang Ma, Huan Yang, Huiguo He, Bei Liu, Jianlong Fu, Nicholas Jing Yuan, Qin Jin, Baining Guo:
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation. CoRR abs/2212.09478 (2022) - 2021
- [j23]Tianfang Zhu, Yutong Han, Anan Li, Jing Yuan, Hui Gong, Yue Guan:
Denoising Across Data Acquisition Modalities for Mesoscopic Scale Optical Neuroimaging. IEEE Access 9: 23624-23632 (2021) - [j22]Hong Ni, Zhao Feng, Yue Guan, Xueyan Jia, Wu Chen, Tao Jiang, Qiuyuan Zhong, Jing Yuan, Miao Ren, Xiangning Li, Hui Gong, Qingming Luo, Anan Li:
DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks. Neuroinformatics 19(2): 267-284 (2021) - [j21]Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie:
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories. IEEE Trans. Big Data 7(2): 371-382 (2021) - [j20]Zhaoyu Guo, Zhou Zhao, Weike Jin, Zhicheng Wei, Min Yang, Nannan Wang, Nicholas Jing Yuan:
Multi-Turn Video Question Generation via Reinforced Multi-Choice Attention Network. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1697-1710 (2021) - [c66]Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen:
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. AAAI 2021: 4215-4223 - [c65]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. AAAI 2021: 12920-12928 - [c64]Wenkai Zhang, Hongyu Lin, Xianpei Han, Le Sun, Huidan Liu, Zhicheng Wei, Nicholas Jing Yuan:
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model. AAAI 2021: 14481-14488 - [c63]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. ACL/IJCNLP (Findings) 2021: 1558-1568 - [c62]Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua Xiao:
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. ACL/IJCNLP (Findings) 2021: 2819-2831 - [c61]Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
An In-depth Study on Internal Structure of Chinese Words. ACL/IJCNLP (1) 2021: 5823-5833 - [c60]Yang Hou, Houquan Zhou, Zhenghua Li, Yu Zhang, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing. CoNLL 2021: 290-299 - [c59]Ying Li, Meishan Zhang, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing. EMNLP (Findings) 2021: 1724-1733 - [c58]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. SIGIR 2021: 183-192 - [i13]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. CoRR abs/2101.02394 (2021) - [i12]Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-based Review Generation by Coherence Enhanced Text Planning. CoRR abs/2105.03815 (2021) - [i11]Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
An In-depth Study on Internal Structure of Chinese Words. CoRR abs/2106.00334 (2021) - [i10]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. CoRR abs/2106.01623 (2021) - [i9]Wenkai Zhang, Hongyu Lin, Xianpei Han, Le Sun, Huidan Liu, Zhicheng Wei, Nicholas Jing Yuan:
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model. CoRR abs/2106.09234 (2021) - [i8]Feiyang Chen, Rongjie Huang, Chenye Cui, Yi Ren, Jinglin Liu, Zhou Zhao, Nicholas Jing Yuan, Baoxing Huai:
SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation. CoRR abs/2110.07468 (2021) - [i7]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. CoRR abs/2112.06013 (2021) - 2020
- [j19]Xiaofeng Xu, Yue Guan, Hui Gong, Zhao Feng, Wenjuan Shi, Anan Li, Miao Ren, Jing Yuan, Qingming Luo:
Automated Brain Region Segmentation for Single Cell Resolution Histological Images Based on Markov Random Field. Neuroinformatics 18(2): 181-197 (2020) - [j18]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen:
Pop Music Generation: From Melody to Multi-style Arrangement. ACM Trans. Knowl. Discov. Data 14(5): 54:1-54:31 (2020) - [c57]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CIKM 2020: 735-744 - [c56]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. EMNLP (Findings) 2020: 2281-2290 - [c55]Hongyu Lin, Yaojie Lu, Jialong Tang, Xianpei Han, Le Sun, Zhicheng Wei, Nicholas Jing Yuan:
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? EMNLP (1) 2020: 7291-7300 - [c54]Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan:
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding. IJCAI 2020: 1069-1075 - [c53]Weidong He, Zhi Li, Dongcai Lu, Enhong Chen, Tong Xu, Baoxing Huai, Jing Yuan:
Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements. ACM Multimedia 2020: 2755-2764 - [c52]Zijian Zhang, Zhou Zhao, Zhu Zhang, Baoxing Huai, Jing Yuan:
Text-Guided Image Inpainting. ACM Multimedia 2020: 4079-4087 - [c51]Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Jing Yuan:
FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire. ACM Multimedia 2020: 4328-4336 - [c50]Yuqing Xie, Wei Yang, Luchen Tan, Kun Xiong, Nicholas Jing Yuan, Baoxing Huai, Ming Li, Jimmy Lin:
Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. WWW 2020: 2934-2940 - [i6]Jinglin Liu, Yi Ren, Zhou Zhao, Chen Zhang, Baoxing Huai, Jing Yuan:
FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire. CoRR abs/2008.02516 (2020) - [i5]Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Nicholas Jing Yuan:
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding. CoRR abs/2008.06941 (2020) - [i4]Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen:
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. CoRR abs/2010.01480 (2020)
2010 – 2019
- 2019
- [i3]Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu:
Integrating Graph Contextualized Knowledge into Pre-trained Language Models. CoRR abs/1912.00147 (2019) - 2018
- [j17]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [c49]Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. AAAI 2018: 192-199 - [c48]Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen:
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. KDD 2018: 2837-2846 - [c47]Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li:
DRN: A Deep Reinforcement Learning Framework for News Recommendation. WWW 2018: 167-176 - [i2]Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong:
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition. CoRR abs/1804.09901 (2018) - 2017
- [j16]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Intelligent bus routing with heterogeneous human mobility patterns. Knowl. Inf. Syst. 50(2): 383-415 (2017) - [j15]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
Prediction and Simulation of Human Mobility Following Natural Disasters. ACM Trans. Intell. Syst. Technol. 8(2): 29:1-29:23 (2017) - [j14]Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang:
An Influence Propagation View of PageRank. ACM Trans. Knowl. Discov. Data 11(3): 30:1-30:30 (2017) - [j13]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Intent Prediction with Real-Time Contextual Data. ACM Trans. Inf. Syst. 35(4): 30:1-30:33 (2017) - [j12]Xuan Song, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie, Tao Li, Ryutaro Adachi:
DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data. ACM Trans. Inf. Syst. 35(4): 41:1-41:19 (2017) - [c46]Shunsuke Aoki, Kaoru Sezaki, Nicholas Jing Yuan, Xing Xie:
An Early Event Detection Technique with Bus GPS Data. SIGSPATIAL/GIS 2017: 49:1-49:4 - [c45]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie:
App Download Forecasting: An Evolutionary Hierarchical Competition Approach. IJCAI 2017: 2978-2984 - [c44]Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma:
Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory. IJCAI 2017: 3616-3623 - [c43]Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma:
Beyond the Words: Predicting User Personality from Heterogeneous Information. WSDM 2017: 305-314 - [c42]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [r1]Defu Lian, Nicholas Jing Yuan:
Mobile Check-In Recommendation. Encyclopedia of GIS 2017: 1235-1244 - 2016
- [j11]Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie:
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations. ACM Trans. Intell. Syst. Technol. 7(3): 39:1-39:30 (2016) - [c41]Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang:
Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. AAAI 2016: 13-19 - [c40]Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen:
A contextual collaborative approach for app usage forecasting. UbiComp 2016: 1247-1258 - [c39]Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie:
Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. ICDM 2016: 529-538 - [c38]Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM 2016: 1029-1034 - [c37]Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI 2016: 1732-1738 - [c36]Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang:
Contextual Intent Tracking for Personal Assistants. KDD 2016: 273-282 - [c35]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma:
Collaborative Knowledge Base Embedding for Recommender Systems. KDD 2016: 353-362 - [c34]Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin, Yong Rui:
Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions. WSDM 2016: 3-12 - [c33]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735 - [c32]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Nowcasting for Contextual Recommendation. WWW 2016: 1407-1418 - 2015
- [j10]Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui:
Mining Location-based Social Networks: A Predictive Perspective. IEEE Data Eng. Bull. 38(2): 35-46 (2015) - [j9]Fuzheng Zhang, Nicholas Jing Yuan, Yingzi Wang, Xing Xie:
Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach. Knowl. Inf. Syst. 44(2): 299-323 (2015) - [j8]Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan:
Geo-social media data analytic for user modeling and location-based services. ACM SIGSPATIAL Special 7(3): 11-18 (2015) - [j7]Fuzheng Zhang, Nicholas Jing Yuan, David Wilkie, Yu Zheng, Xing Xie:
Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility. ACM Trans. Intell. Syst. Technol. 6(3): 37:1-37:23 (2015) - [j6]Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong:
Discovering Urban Functional ZonesUsing Latent Activity Trajectories. IEEE Trans. Knowl. Data Eng. 27(3): 712-725 (2015) - [c31]Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie:
A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data. AAAI 2015: 730-736 - [c30]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Mining consumer impulsivity from offline and online behavior. UbiComp 2015: 1281-1292 - [c29]Han Su, Kai Zheng, Kai Zeng, Jiamin Huang, Shazia Wasim Sadiq, Nicholas Jing Yuan, Xiaofang Zhou:
Making sense of trajectory data: A partition-and-summarization approach. ICDE 2015: 963-974 - [c28]Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Shazia Wasim Sadiq, Xiaofang Zhou:
Approximate keyword search in semantic trajectory database. ICDE 2015: 975-986 - [c27]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM 2015: 261-270 - [c26]Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD 2015: 1275-1284 - [c25]Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui:
Predicting Smartphone Adoption in Social Networks. PAKDD (1) 2015: 472-485 - [c24]Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie:
You Are Where You Go: Inferring Demographic Attributes from Location Check-ins. WSDM 2015: 295-304 - [c23]Nicholas Jing Yuan:
Mining Social and Urban Big Data. WWW (Companion Volume) 2015: 1103 - [c22]Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou:
A Novelty-Seeking based Dining Recommender System. WWW 2015: 1362-1372 - 2014
- [j5]Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang, Xiaofang Zhou:
Online Discovery of Gathering Patterns over Trajectories. IEEE Trans. Knowl. Data Eng. 26(8): 1974-1988 (2014) - [c21]Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan:
Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM 2014: 120-129 - [c20]Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu:
Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. ICDM 2014: 360-369 - [c19]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie:
Mining novelty-seeking trait across heterogeneous domains. WWW 2014: 373-384 - [i1]Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou:
Indigenization of Urban Mobility. CoRR abs/1405.7769 (2014) - 2013
- [j4]Lu-An Tang, Yu Zheng, Jing Yuan, Jiawei Han, Alice Leung, Wen-Chih Peng, Thomas La Porta:
A framework of traveling companion discovery on trajectory data streams. ACM Trans. Intell. Syst. Technol. 5(1): 3:1-3:34 (2013) - [j3]Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun:
T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence. IEEE Trans. Knowl. Data Eng. 25(1): 220-232 (2013) - [j2]Nicholas Jing Yuan, Yu Zheng, Liuhang Zhang, Xing Xie:
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis. IEEE Trans. Knowl. Data Eng. 25(10): 2390-2403 (2013) - [c18]Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie:
We know how you live: exploring the spectrum of urban lifestyles. COSN 2013: 3-14 - [c17]Kai Zheng, Shuo Shang, Nicholas Jing Yuan, Yi Yang:
Towards efficient search for activity trajectories. ICDE 2013: 230-241 - [c16]Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang:
On discovery of gathering patterns from trajectories. ICDE 2013: 242-253 - [c15]