Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFuzhen Zhuang
Person information
- affiliation: Beihang University, School of Computer Science, Institute of Artificial Intelligence, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j84]Huaming Du
, Zhilong Xie, Jia Song, Yaoxing Yuan, Jiacan Li, Xingyan Chen, Huangen Chen, Yu Zhao, Fuzhen Zhuang, Qing Li:
DKPE: Deep KeyPhrase Expansion. Neurocomputing 572: 127177 (2024)- [j83]Shaopeng Wei, Jia Lv, Yu Guo, Qing Yang, Xingyan Chen, Yu Zhao, Qing Li, Fuzhen Zhuang, Gang Kou:
Combining intra-risk and contagion risk for enterprise bankruptcy prediction using graph neural networks. Inf. Sci. 659: 120081 (2024) - [j82]Yanming Chen, Jiahao Xu, Zhulin An, Fuzhen Zhuang:
Multi-scale conditional reconstruction generative adversarial network. Image Vis. Comput. 141: 104885 (2024) - [j81]Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
A syntactic multi-level interaction network for rumor detection. Neural Comput. Appl. 36(4): 1713-1726 (2024) - [j80]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction. IEEE Trans. Knowl. Data Eng. 36(5): 1951-1963 (2024) - [j79]Ying Luo, Guoliang Kang, Kexin Liu, Fuzhen Zhuang, Jinhu Lü:
Taking a Closer Look at Factor Disentanglement: Dual-Path Variational Autoencoder Learning for Domain Generalization. IEEE Trans. Multim. 26: 5872-5883 (2024) - 2023
- [j78]Zhendong Chen, Fuzhen Zhuang, Lejian Liao, Meihuizi Jia, Jiaqi Li, Heyan Huang:
Effectively Modeling Sentence Interactions With Factorization Machines for Fact Verification. IEEE Intell. Syst. 38(5): 18-27 (2023) - [j77]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He:
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17(1): 171305 (2023) - [j76]Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang:
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10212-10227 (2023) - [j75]Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong:
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17(5): 68:1-68:24 (2023) - [j74]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2809-2822 (2023) - [j73]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [j72]Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang:
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35(5): 4608-4620 (2023) - [j71]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(7): 7178-7191 (2023) - [j70]Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong:
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7557-7568 (2023) - [j69]Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Gang Kou:
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8559-8571 (2023) - [j68]Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9054-9066 (2023) - [j67]Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng:
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Trans. Mob. Comput. 22(6): 3318-3332 (2023) - [j66]Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li:
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41(4): 92:1-92:23 (2023) - 2022
- [j65]Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni:
Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. 38(16): 3976-3983 (2022) - [j64]Lishan Zhang, Yuwei Huang, Xi Yang, Shengquan Yu, Fuzhen Zhuang:
An automatic short-answer grading model for semi-open-ended questions. Interact. Learn. Environ. 30(1): 177-190 (2022) - [j63]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j62]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j61]Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li:
EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. 237: 107909 (2022) - [j60]Xiao Zhang, Hongzheng Yu, Yang Yang, Jingjing Gu, Yujun Li, Fuzhen Zhuang, Dongxiao Yu, Zhaochun Ren:
HarMI: Human Activity Recognition Via Multi-Modality Incremental Learning. IEEE J. Biomed. Health Informatics 26(3): 939-951 (2022) - [j59]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [j58]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Trans. Knowl. Data Eng. 34(2): 640-652 (2022) - [j57]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j56]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [j55]Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong:
Detect Professional Malicious User With Metric Learning in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(9): 4133-4146 (2022) - 2021
- [j54]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j53]Haochao Ying, Qingyu Song, Jintai Chen, Tingting Liang, Jingjing Gu, Fuzhen Zhuang, Danny Z. Chen, Jian Wu:
A semi-supervised deep convolutional framework for signet ring cell detection. Neurocomputing 453: 347-356 (2021) - [j52]Xiaowei Zhao, Deqing Wang, Zhengyang Zhao, Wei Liu, Chenwei Lu, Fuzhen Zhuang:
A neural topic model with word vectors and entity vectors for short texts. Inf. Process. Manag. 58(2): 102455 (2021) - [j51]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [j50]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109(1): 43-76 (2021) - [j49]Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33(7): 2903-2913 (2021) - [j48]Deqing Wang, Baoyu Jing, Chenwei Lu, Junjie Wu, Guannan Liu, Chenguang Du, Fuzhen Zhuang:
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 736-747 (2021) - [j47]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1713-1722 (2021) - 2020
- [j46]Jingjing Gu, Cheng Liu, Yi Zhuang, Xiaojiang Du, Fuzhen Zhuang, Haochao Ying, Yanchao Zhao, Mohsen Guizani:
Dynamic Measurement and Data Calibration for Aerial Mobile IoT. IEEE Internet Things J. 7(6): 5210-5219 (2020) - [j45]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. 93: 101364 (2020) - [j44]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j43]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109(2): 219-249 (2020) - [j42]Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang:
Leveraging maximum entropy and correlation on latent factors for learning representations. Neural Networks 131: 312-323 (2020) - [j41]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [j40]Deqing Wang, Chenwei Lu, Junjie Wu, Hongfu Liu, Wenjie Zhang, Fuzhen Zhuang, Hui Zhang:
Softly Associative Transfer Learning for Cross-Domain Classification. IEEE Trans. Cybern. 50(11): 4709-4721 (2020) - [j39]Xiaoyi Deng, Yenchun Jim Wu, Fuzhen Zhuang:
Trust-embedded collaborative deep generative model for social recommendation. J. Supercomput. 76(11): 8801-8829 (2020) - [j38]Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong:
Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback. ACM Trans. Knowl. Discov. Data 14(4): 50:1-50:25 (2020) - [j37]Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo:
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 31(3): 737-748 (2020) - 2019
- [j36]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j35]Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong:
Knowledge triple mining via multi-task learning. Inf. Syst. 80: 64-75 (2019) - [j34]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. 81: 178 (2019) - [j33]Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He:
Supervised representation learning for multi-label classification. Mach. Learn. 108(5): 747-763 (2019) - [j32]Xiaoyi Deng, Fuzhen Zhuang, Zhiguo Zhu:
Neural variational collaborative filtering with side information for top-K recommendation. Int. J. Mach. Learn. Cybern. 10(11): 3273-3284 (2019) - [j31]Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong:
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. Neural Networks 111: 77-88 (2019) - [j30]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019) - [j29]Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He:
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90: 271-284 (2019) - 2018
- [j28]Ding Xiao, Yugang Ji, Yitong Li, Fuzhen Zhuang, Chuan Shi:
Coupled matrix factorization and topic modeling for aspect mining. Inf. Process. Manag. 54(6): 861-873 (2018) - [j27]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) - [j26]Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He, Naixue Xiong:
RECOME: A new density-based clustering algorithm using relative KNN kernel density. Inf. Sci. 436-437: 13-30 (2018) - [j25]Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. 9(12): 1987-1998 (2018) - [j24]Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108: 287-295 (2018) - [j23]Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He:
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. 48(8): 2284-2293 (2018) - [j22]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [j21]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30(3): 530-543 (2018) - 2017
- [j20]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Recommendation in heterogeneous information network via dual similarity regularization. Int. J. Data Sci. Anal. 3(1): 35-48 (2017) - [j19]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - 2016
- [j18]Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He:
Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. 20(5): 1085-1099 (2016) - [j17]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating heterogeneous information via flexible regularization framework for recommendation. Knowl. Inf. Syst. 49(3): 835-859 (2016) - 2015
- [j16]Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. 258: 117-133 (2015) - [j15]Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015) - [j14]Shuhui Wang, Fuzhen Zhuang, Shuqiang Jiang, Qingming Huang, Qi Tian:
Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval. Neurocomputing 168: 747-760 (2015) - [j13]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi:
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51(1): 25-41 (2015) - 2014
- [j12]Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi:
Clustering in extreme learning machine feature space. Neurocomputing 128: 88-95 (2014) - [j11]Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257: 101-114 (2014) - [j10]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong:
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. 44(7): 1191-1203 (2014) - 2013
- [j9]Xin Jin, Yongquan Liang, Dongping Tian, Fuzhen Zhuang:
Particle swarm optimization using dimension selection methods. Appl. Math. Comput. 219(10): 5185-5197 (2013) - [j8]Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel extreme learning machine for regression based on MapReduce. Neurocomputing 102: 52-58 (2013) - [j7]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. 46: 33-42 (2013) - 2012
- [j6]Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi:
Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. 199: 20-30 (2012) - [j5]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2025-2039 (2012) - [j4]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. 24(12): 2301 (2012) - 2011
- [j3]Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
A parallel incremental extreme SVM classifier. Neurocomputing 74(16): 2532-2540 (2011) - [j2]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. 4(1): 100-114 (2011) - 2010
- [j1]Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi:
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22(12): 1664-1678 (2010)
Conference and Workshop Papers
- 2024
- [c157]Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong:
Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. AAAI 2024: 17781-17789 - [c156]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM 2024: 548-556 - 2023
- [c155]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) 2023: 594-605 - [c154]Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang:
PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. CIKM 2023: 955-964 - [c153]Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu:
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM 2023: 4430-4434 - [c152]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c151]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) 2023: 1453-1462 - [c150]Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong:
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD 2023: 3991-4002 - [c149]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD 2023: 5628-5638 - [c148]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. RecSys 2023: 565-575 - [c147]Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang:
Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. SDM 2023: 936-944 - [c146]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Neural Multi-hop Logical Query Answering with Concept-Level Answers. ISWC 2023: 522-540 - [c145]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR 2023: 58-67 - [c144]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR 2023: 78-88 - [c143]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR 2023: 89-98 - [c142]Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu:
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. SIGIR 2023: 413-422 - [c141]Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. SIGIR 2023: 867-877 - [c140]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [c139]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c138]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [c137]Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li:
A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) 2023: 475-479 - [c136]Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng:
CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. WWW 2023: 1396-1404 - 2022
- [c135]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022: 4345-4353 - [c134]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c133]Jian Pan, Zhao Zhang, Fuzhen Zhuang, Jingyuan Yang, Zhiping Shi:
Knowledge-Aware Topological Networks for Recommendation. CCKS 2022: 189-201 - [c132]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CIKM 2022: 572-581 - [c131]Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538 - [c130]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. COLING 2022: 7013-7019 - [c129]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c128]Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang:
Exploiting Global and Local Hierarchies for Hierarchical Text Classification. EMNLP 2022: 4030-4039 - [c127]Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP 2022: 8826-8837 - [c126]Yiqi Tong, Fuzhen Zhuang, Deqing Wang, Haochao Ying, Binling Wang:
Improving Biomedical Named Entity Recognition with a Unified Multi-Task MRC Framework. ICASSP 2022: 8332-8336 - [c125]Yan Chen, Jingjing Gu, Fuzhen Zhuang, Xinjiang Lu, Ming Sun:
Exploiting Hierarchical Correlations for Cross-City Cross-Mode Traffic Flow Prediction. ICDM 2022: 891-896 - [c124]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. IJCAI 2022: 2248-2254 - [c123]Xiexiong Lin, Huaisong Li, Tao Huang, Feng Wang, Linlin Chao, Fuzhen Zhuang, Taifeng Wang, Tianyi Zhang:
A Logic Aware Neural Generation Method for Explainable Data-to-text. KDD 2022: 3318-3326 - [c122]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [c121]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022: 223-233 - [c120]Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. SIGIR 2022: 2120-2125 - [c119]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c118]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM 2022: 1507-1515 - [c117]Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li:
EvidenceNet: Evidence Fusion Network for Fact Verification. WWW 2022: 2636-2645 - 2021
- [c116]Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. AAAI 2021: 320-327 - [c115]Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. AAAI 2021: 4723-4731 - [c114]Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. AAAI 2021: 7987-7994 - [c113]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI 2021: 14957-14965 - [c112]Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu:
Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) 2021: 1341-1351 - [c111]Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM 2021: 3498-3502 - [c110]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c109]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [c108]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c107]Yuhong Zhang, Mingxuan Du, Fuzhen Zhuang, Yuxi Jin, Yuhui Ma, Hongbo Zhang:
Joint alignment and compactness learning for multi-source unsupervised domain adaptation. ICMV 2021: 120841E - [c106]Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye:
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) 2021: 40-50 - [c105]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c104]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD 2021: 2145-2153 - [c103]Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen:
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. KDD 2021: 3745-3755 - [c102]Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong:
Talent Demand Forecasting with Attentive Neural Sequential Model. KDD 2021: 3906-3916 - [c101]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD 2021: 4005-4013 - [c100]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c99]Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song:
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. ECML/PKDD (2) 2021: 335-350 - [c98]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [c97]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR 2021: 1167-1176 - [c96]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR 2021: 1813-1817 - [c95]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021: 3827-3838 - 2020
- [c94]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619 - [c93]Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - [c92]Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang:
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) 2020: 386-402 - [c91]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c90]Tianzhu Chen, Fenghua Li, Fuzhen Zhuang, Yunchuan Guo, Liang Fang:
The Linear Geometry Structure of Label Matrix for Multi-label Learning. DEXA (2) 2020: 229-244 - [c89]Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020: 529-536 - [c88]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c87]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597 - [c86]Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong:
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. KDD 2020: 3346-3355 - [c85]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR 2020: 1893-1896 - [c84]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW 2020: 928-938 - [c83]Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020: 2768-2774 - [c82]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW 2020: 3133-3139 - 2019
- [c81]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465 - [c80]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI 2019: 5877-5884 - [c79]Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources. AAAI 2019: 5989-5996 - [c78]Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang:
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. ACML 2019: 1049-1064 - [c77]Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong:
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM 2019: 718-727 - [c76]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI 2019: 3940-3946 - [c75]Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Bin Guo:
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction. IJCAI 2019: 4157-4163 - [c74]Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong:
Multiple Relational Attention Network for Multi-task Learning. KDD 2019: 1123-1131 - [c73]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633 - [c72]Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong:
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019: 2165-2173 - [c71]Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu:
Inferring Mood Instability via Smartphone Sensing: A Multi-View Learning Approach. ACM Multimedia 2019: 1401-1409 - [c70]Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He:
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) 2019: 110-122 - [c69]Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu:
Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias. PAKDD (1) 2019: 160-171 - [c68]Xiaoyi Deng, Fuzhen Zhuang:
Neural Variational Collaborative Filtering for Top-K Recommendation. PAKDD (Workshops) 2019: 352-364 - [c67]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - 2018
- [c66]Xi Yang, Yuwei Huang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Short Answer Grading with Deep Autoencoder. AIED (2) 2018: 399-404 - [c65]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c64]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207 - [c63]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM 2018: 187-196 - [c62]Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018: 1001-1006 - [c61]Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Hui Xiong:
Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation. ICDM 2018: 1356-1361 - [c60]Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Hui Xiong:
An Integrated Model for Crime Prediction Using Temporal and Spatial Factors. ICDM 2018: 1386-1391 - [c59]Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu:
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. IJCAI 2018: 3125-3131 - [c58]Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. IJCAI 2018: 3926-3932 - [c57]Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018: 2269-2278 - [c56]Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. PAKDD (1) 2018: 118-129 - [c55]Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018: 909-912 - 2017
- [c54]Jing Zheng, Fuzhen Zhuang, Chuan Shi:
Local Ensemble across Multiple Sources for Collaborative Filtering. CIKM 2017: 2431-2434 - [c53]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 - [c52]Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI 2017: 1830-1836 - [c51]Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He:
Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM 2017: 483-494 - [c50]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [c49]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017: 881-882 - 2016
- [c48]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu, Naiwang Guo:
Expenditure aware rating prediction for recommendation. IEEE BigData 2016: 1018-1025 - [c47]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c46]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI 2016: 1555-1561 - [c45]Huifang Ma, Meihuizi Jia, Xianghong Lin, Fuzhen Zhuang:
Tag correlation and user social relation based microblog recommendation. IJCNN 2016: 2424-2430 - [c44]Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Jingzhi Li, Bin Wu:
Dual Similarity Regularization for Recommendation. PAKDD (2) 2016: 542-554 - [c43]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016: 148-164 - [c42]Yitong Li, Chuan Shi, Huidong Zhao, Fuzhen Zhuang, Bin Wu:
Aspect Mining with Rating Bias. ECML/PKDD (2) 2016: 458-474 - 2015
- [c41]Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi:
Bayesian Maximum Margin Principal Component Analysis. AAAI 2015: 2582-2588 - [c40]Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He:
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122 - [c39]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He:
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850 - [c38]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Online Frequent Episode Mining. ICDE 2015: 891-902 - [c37]Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He:
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015: 1141-1146 - [c36]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [c35]Tianshu Feng, Fuzhen Zhuang, Qing He:
Improving ESVM with Generalized Cross-Validation. IJCNN 2015: 1-8 - [c34]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953 - 2014
- [c33]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450 - [c32]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He:
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014: 255-260 - [c31]Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi:
Parallel feature selection using positive approximation based on MapReduce. FSKD 2014: 397-402 - [c30]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi:
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM 2014: 380-389 - [c29]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) 2014: 65-77 - [c28]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014: 417-431 - [c27]Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi:
Scalable bootstrap clustering for massive data. SNPD 2014: 1-6 - [c26]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014: 217-218 - 2013
- [c25]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013: 384-391 - [c24]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c23]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN 2013: 1-8 - [c22]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - [c21]Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi:
Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013: 353-368 - [c20]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi:
Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013: 425-434 - 2012
- [c19]Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
TINAC: A fast and effective web video topic detection framework. FSKD 2012: 1252-1256 - [c18]Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012: 191-200 - [c17]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012: 215-219 - [c16]Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012: 16-27 - [c15]Zhongzhi Shi, Bo Zhang, Fuzhen Zhuang:
Improving Transfer Learning by Introspective Reasoner. Intelligent Information Processing 2012: 28-39 - [c14]Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012: 40-49 - [c13]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) 2012: 628-637 - [c12]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012: 392-404 - 2011
- [c11]Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011: 75-80 - [c10]Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401 - 2010
- [c9]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Leveraging Entropy and Relevance for Summarization. AIRS 2010: 241-250 - [c8]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010: 359-368 - [c7]Tingting Li, Fuzhen Zhuang, Qing He:
A noise handling method for hyper surface classification. FSKD 2010: 1484-1488 - [c6]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi:
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010: 709-718 - [c5]Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi:
Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010: 404-412 - [c4]Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi:
Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010: 655-662 - [c3]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010: 13-24 - 2008
- [c2]Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He:
Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112 - [c1]Qing He, Fuzhen Zhuang, Zhongzhi Shi:
The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) 2008: 384-388
Informal and Other Publications
- 2024
- [i76]Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang:
Improving Domain Adaptation through Extended-Text Reading Comprehension. CoRR abs/2401.07284 (2024) - [i75]Wei Guo, Fuzhen Zhuang, Xiao Zhang, Yiqi Tong, Jin Dong:
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications. CoRR abs/2403.01387 (2024) - 2023
- [i74]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i73]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i72]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR abs/2304.09184 (2023) - [i71]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i70]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i69]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - [i68]Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu:
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. CoRR abs/2305.17417 (2023) - [i67]Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR abs/2306.04370 (2023) - [i66]Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang:
Scaling Sentence Embeddings with Large Language Models. CoRR abs/2307.16645 (2023) - [i65]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification. CoRR abs/2308.05385 (2023) - [i64]Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang:
Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction. CoRR abs/2308.09780 (2023) - [i63]Meng Yuan, Fuzhen Zhuang, Zhao Zhang, Deqing Wang, Jin Dong:
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation. CoRR abs/2308.15244 (2023) - [i62]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i61]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR abs/2310.14318 (2023) - [i60]Hangtong Xu, Yuanbo Xu, Yongjian Yang, Fuzhen Zhuang, Hui Xiong:
DPR: An Algorithm Mitigate Bias Accumulation in Recommendation feedback loops. CoRR abs/2311.05864 (2023) - 2022
- [i59]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i58]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR abs/2201.01002 (2022) - [i57]Yongchun Zhu, Fuzhen Zhuang, Deqing Wang:
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple Sources. CoRR abs/2201.01003 (2022) - [i56]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR abs/2201.01004 (2022) - [i55]Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang:
PromptBERT: Improving BERT Sentence Embeddings with Prompts. CoRR abs/2201.04337 (2022) - [i54]Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou:
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR abs/2201.04965 (2022) - [i53]Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR abs/2202.03874 (2022) - [i52]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR abs/2203.10576 (2022) - [i51]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR abs/2204.09263 (2022) - [i50]Yongchun Zhu, Qiang Sheng, Juan Cao, Shuokai Li, Danding Wang, Fuzhen Zhuang:
Generalizing to the Future: Mitigating Entity Bias in Fake News Detection. CoRR abs/2204.09484 (2022) - [i49]Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang:
Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion. CoRR abs/2205.00904 (2022) - [i48]Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang:
Exploiting Global and Local Hierarchies for Hierarchical Text Classification. CoRR abs/2205.02613 (2022) - [i47]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. CoRR abs/2205.04682 (2022) - [i46]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompts for Sequential Recommendation. CoRR abs/2205.09666 (2022) - [i45]Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong:
Detect Professional Malicious User with Metric Learning in Recommender Systems. CoRR abs/2205.09673 (2022) - [i44]Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf:
Joint Abductive and Inductive Neural Logical Reasoning. CoRR abs/2205.14591 (2022) - [i43]Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. CoRR abs/2206.12808 (2022) - [i42]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. CoRR abs/2207.00814 (2022) - [i41]Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. CoRR abs/2208.11283 (2022) - [i40]Ting Jiang, Deqing Wang, Fuzhen Zhuang:
Pruning Pre-trained Language Models Without Fine-Tuning. CoRR abs/2210.06210 (2022) - [i39]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR abs/2211.10615 (2022) - [i38]Ziming Wan, Deqing Wang, Xuehua Ming, Fuzhen Zhuang, Chenguang Du, Ting Jiang, Zhengyang Zhao:
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. CoRR abs/2211.11752 (2022) - 2021
- [i37]Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. CoRR abs/2101.03305 (2021) - [i36]Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. CoRR abs/2101.06954 (2021) - [i35]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR abs/2101.11354 (2021) - [i34]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR abs/2105.04785 (2021) - [i33]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR abs/2105.04790 (2021) - [i32]Dongbo Xi, Zhen Chen, Peng Yan, Yinger Zhang, Yongchun Zhu, Fuzhen Zhuang, Yu Chen:
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. CoRR abs/2105.08489 (2021) - [i31]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR abs/2105.14688 (2021) - [i30]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - [i29]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. CoRR abs/2106.09388 (2021) - [i28]Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang:
Improving Non-autoregressive Generation with Mixup Training. CoRR abs/2110.11115 (2021) - [i27]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR abs/2110.11154 (2021) - [i26]Yu Zhao, Jia Song, Huali Feng, Fuzhen Zhuang, Qing Li, Xiaojie Wang, Ji Liu:
Deep Keyphrase Completion. CoRR abs/2111.01910 (2021) - [i25]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - [i24]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen:
Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR abs/2112.03024 (2021) - [i23]Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR abs/2112.13078 (2021) - [i22]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR abs/2112.13510 (2021) - [i21]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR abs/2112.15285 (2021) - [i20]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR abs/2112.15290 (2021) - [i19]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR abs/2112.15292 (2021) - 2020
- [i18]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i17]Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong:
Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. CoRR abs/2004.05774 (2020) - [i16]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020) - [i15]Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong:
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. CoRR abs/2007.14767 (2020) - [i14]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR abs/2008.05600 (2020) - [i13]Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong:
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR abs/2009.02835 (2020) - 2019
- [i12]Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR abs/1905.13030 (2019) - [i11]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR abs/1910.04420 (2019) - [i10]Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR abs/1910.05250 (2019) - [i9]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. CoRR abs/1911.02685 (2019) - [i8]Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He:
Transfer Learning Toolkit: Primers and Benchmarks. CoRR abs/1911.08967 (2019) - 2018
- [i7]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. CoRR abs/1802.04162 (2018) - [i6]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Cross-domain novelty seeking trait mining for sequential recommendation. CoRR abs/1803.01542 (2018) - [i5]Juanying Xie, Qi Hou, Yinghuan Shi, Lv Peng, Liping Jing, Fuzhen Zhuang, Junping Zhang, Xiaoyang Tang, Shengquan Xu:
The Automatic Identification of Butterfly Species. CoRR abs/1803.06626 (2018) - [i4]Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. CoRR abs/1809.05820 (2018) - 2016
- [i3]Chuan Shi, Bowei He, Menghao Zhang, Fuzhen Zhuang, Philip S. Yu:
Expenditure Aware Rating Prediction for Recommendation. CoRR abs/1610.05464 (2016) - [i2]Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuang, Ruisi He:
RECOME: a New Density-Based Clustering Algorithm Using Relative KNN Kernel Density. CoRR abs/1611.00484 (2016) - 2015
- [i1]Chuan Shi, Jian Liu, Fuzhen Zhuang, Philip S. Yu, Bin Wu:
Integrating Heterogeneous Information via Flexible Regularization Framework for Recommendation. CoRR abs/1511.03759 (2015)
Coauthor Index
[j77] [j74] [j73] [j63] [j62] [j56] [j51] [j50] [j49] [j47] [j45] [j44] [j43] [j41] [j36] [j35] [j34] [j33] [j30] [j29] [j27] [j25] [j24] [j23] [j22] [j21] [j19] [j18] [j16] [j15] [j13] [j12] [j11] [j10] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c152] [c139] [c138] [c135] [c134] [c131] [c129] [c122] [c121] [c119] [c118] [c113] [c111] [c110] [c106] [c105] [c100] [c98] [c96] [c95] [c94] [c93] [c89] [c88] [c85] [c84] [c82] [c81] [c73] [c70] [c67] [c65] [c64] [c62] [c57] [c55] [c53] [c52] [c51] [c50] [c49] [c47] [c46] [c43] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i70] [i59] [i58] [i56] [i52] [i51] [i47] [i46] [i42] [i35] [i34] [i30] [i29] [i27] [i25] [i22] [i21] [i20] [i19] [i18] [i16] [i14] [i11] [i10] [i9] [i8] [i7] [i6]
[j75] [j74] [j73] [j70] [j67] [j59] [j58] [j56] [j55] [j51] [j50] [j47] [j44] [j38] [j35] [j31] [j10] [j5] [j4] [j2] [j1] [c152] [c150] [c140] [c122] [c116] [c104] [c102] [c100] [c95] [c94] [c86] [c83] [c81] [c77] [c74] [c73] [c72] [c71] [c61] [c60] [c59] [c58] [c47] [c37] [c33] [c8] [c3] [c2] [i69] [i60] [i45] [i42] [i29] [i25] [i24] [i21] [i18] [i17] [i15] [i13] [i12] [i9]
[j77] [j71] [j63] [j50] [j47] [j30] [c149] [c139] [c136] [c129] [c124] [c122] [c121] [c120] [c119] [c118] [c113] [c103] [c101] [c97] [c96] [c85] [c84] [c79] [c70] [i70] [i67] [i58] [i57] [i56] [i52] [i51] [i50] [i49] [i47] [i46] [i43] [i42] [i35] [i34] [i33] [i32] [i31] [i29] [i27] [i19] [i16] [i14] [i9] [i8]
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-16 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
