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2020 – today
- 2023
[j41]Yongjing Hao
, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023)- [j40]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [c111]Jian Zou, Jiaan Wang, Ying He, Jianfeng Qu, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao:
A Joint Link-Retrieve Framework for Open Table-and-Text Question Answering. DASFAA (3) 2023: 369-384 - [i20]Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou:
Sequential Recommendation with Diffusion Models. CoRR abs/2304.04541 (2023) - [i19]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) - [i18]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) - [i17]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i16]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) - [i15]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - 2022
- [j39]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) - [c110]Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Self-guided Contrastive Learning for Sequential Recommendation. APWeb/WAIM (3) 2022: 72-86 - [c109]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c108]Chunhui Feng, Zhicheng Pan, Junhua Fang, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
Aries: Accurate Metric-based Representation Learning for Fast Top-k Trajectory Similarity Query. CIKM 2022: 499-508 - [c107]Jiaan Wang, Beiqi Zou, Zhixu Li, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao:
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks. DASFAA (3) 2022: 85-100 - [c106]Pengfei Li, Junhua Fang, Pingfu Chao, Pengpeng Zhao, An Liu, Lei Zhao:
JS-STDGN: A Spatial-Temporal Dynamic Graph Network Using JS-Graph for Traffic Prediction. DASFAA (1) 2022: 191-206 - [c105]Jiachun Tao, Zhicheng Pan, Junhua Fang, Pingfu Chao, Pengpeng Zhao, Jiajie Xu:
Misty: Microservice-Based Streaming Trajectory Similarity Search. ICSOC 2022: 155-170 - [c104]Lifu Chen, Junhua Fang, Pingfu Chao, An Liu, Pengpeng Zhao:
Online Social Event Detection via Filtering Strategy Graph Neural Network. ICWE 2022: 66-81 - [c103]Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN 2022: 1-8 - [c102]Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN 2022: 1-8 - [c101]Lifu Chen, Junhua Fang, Pingfu Chao, An Liu, Pengpeng Zhao:
Rumor Detection in Social Network via Influence Based on Bi-directional Graph Convolutional Network. WISE 2022: 274-289 - [c100]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. WISE 2022: 443-459 - [c99]Zheng Chen, Junhua Fang, Pingfu Chao, Jianfeng Qu, Pengpeng Zhao, Jiajie Xu:
Conats: A Novel Framework for Cross-Modal Map Extraction. WISE 2022: 503-518 - [i14]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) - [i13]Jiaan Wang, Beiqi Zou, Zhixu Li, Jianfeng Qu, Pengpeng Zhao, An Liu, Lei Zhao:
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks. CoRR abs/2201.12538 (2022) - [i12]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i11]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - [i10]Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. CoRR abs/2209.01397 (2022) - 2021
- [j38]Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao:
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. 53(2): 28:1-28:35 (2021) - [j37]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) - [j36]Jiajie Xu, Jing Zhao, Rui Zhou, Chengfei Liu, Pengpeng Zhao, Lei Zhao:
Predicting Destinations by a Deep Learning based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 651-666 (2021) - [j35]Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou:
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. IEEE Trans. Knowl. Data Eng. 33(4): 1708-1721 (2021) - [j34]Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu, Lei Zhao:
Handling conditional queries and data storage on Hyperledger Fabric efficiently. World Wide Web 24(1): 441-461 (2021) - [j33]Fucheng Wang, Jiajie Xu, Chengfei Liu, Rui Zhou, Pengpeng Zhao:
On prediction of traffic flows in smart cities: a multitask deep learning based approach. World Wide Web 24(3): 805-823 (2021) - [c98]Shangfei Zheng, Wei Chen, Pengpeng Zhao, An Liu, Junhua Fang, Lei Zhao:
When Hardness Makes a Difference: Multi-Hop Knowledge Graph Reasoning over Few-Shot Relations. CIKM 2021: 2688-2697 - [c97]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c96]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 - [c95]Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) 2021: 179-194 - [c94]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 - [c93]Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Variational Self-attention Network for Sequential Recommendation. ICDE 2021: 1559-1570 - [c92]Huimin Sun, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Pingfu Chao, Xiaofang Zhou:
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation. IJCAI 2021: 3017-3023 - [c91]Mihai Bujanca, Xuesong Shi, Matthew Spear, Pengpeng Zhao, Barry Lennox, Mikel Luján:
Robust SLAM Systems: Are We There Yet? IROS 2021: 5320-5327 - [c90]Yong (Alexander) Liu, Xin (Lucy) Liu, Fang (Nancy) Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen:
Closing the "quantum supremacy" gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer. SC 2021: 3 - [c89]Fang Li, Xin Liu, Yong Liu, Pengpeng Zhao, Yuling Yang, Honghui Shang, Weizhe Sun, Zhen Wang, Enming Dong, Dexun Chen:
SW_Qsim: a minimize-memory quantum simulator with high-performance on a new Sunway supercomputer. SC 2021: 98 - [c88]Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction. WISE (2) 2021: 34-49 - [c87]Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng:
MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. WISE (2) 2021: 193-208 - [i9]Mihai Bujanca, Xuesong Shi, Matthew Spear, Pengpeng Zhao, Barry Lennox, Mikel Luján:
Robust SLAM Systems: Are We There Yet? CoRR abs/2109.13160 (2021) - [i8]Yong Liu, Xin Liu, Fang Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen:
Closing the "Quantum Supremacy" Gap: Achieving Real-Time Simulation of a Random Quantum Circuit Using a New Sunway Supercomputer. CoRR abs/2110.14502 (2021) - [i7]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. CoRR abs/2111.10536 (2021) - [i6]Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR abs/2111.10539 (2021) - 2020
- [j32]Qianqian Wu, Pengpeng Zhao, Zhiming Cui:
Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation. IEEE Access 8: 68736-68746 (2020) - [j31]Xinyu Chen, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Junhua Fang, Lei Zhao:
S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword search. GeoInformatica 24(1): 3-25 (2020) - [j30]Xiaozhao Song, Jiajie Xu, Rui Zhou, Chengfei Liu, Kai Zheng, Pengpeng Zhao, Nickolas J. G. Falkner:
Collective spatial keyword search on activity trajectories. GeoInformatica 24(1): 61-84 (2020) - [j29]Yi-Ting Wang, Jie Shen, Zhixu Li, Qiang Yang, An Liu, Pengpeng Zhao, Jia-Jie Xu, Lei Zhao, Xun-Jie Yang:
Enriching Context Information for Entity Linking with Web Data. J. Comput. Sci. Technol. 35(4): 724-738 (2020) - [j28]Ying Li, Jia-Jie Xu, Pengpeng Zhao, Junhua Fang, Wei Chen, Lei Zhao:
ATLRec: An Attentional Adversarial Transfer Learning Network for Cross-Domain Recommendation. J. Comput. Sci. Technol. 35(4): 794-808 (2020) - [j27]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) - [j26]Kai Chang, Dailiang Ma, Xingbin Han, Ning Liu, Pengpeng Zhao:
Lyapunov vector-based formation tracking control for unmanned aerial vehicles with obstacle/collision avoidance. Trans. Inst. Meas. Control 42(5): 942-950 (2020) - [j25]Maolong Li, Zhixu Li, Qiang Yang, Zhigang Chen, Pengpeng Zhao, Lei Zhao:
A crowd-efficient learning approach for NER based on online encyclopedia. World Wide Web 23(1): 453-470 (2020) - [j24]Jinjing Huang, Wei Chen, Zhixu Li, Pengpeng Zhao, Weiqing Wang, Hongzhi Yin, Lei Zhao:
SGPM: a privacy protected approach of time-constrained graph pattern matching in cloud. World Wide Web 23(1): 519-547 (2020) - [j23]Junhua Fang, Jiafeng Ding, Pengpeng Zhao, Jiajie Xu, An Liu, Zhixu Li:
Distributed and parallel processing for real-time and dynamic spatio-temporal graph. World Wide Web 23(2): 905-926 (2020) - [c86]Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Knowledge Graph Attention Network Enhanced Sequential Recommendation. APWeb/WAIM (1) 2020: 181-195 - [c85]Jiacheng Ni, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Spatio-Temporal Self-Attention Network for Next POI Recommendation. APWeb/WAIM (1) 2020: 409-423 - [c84]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 - [c83]Fucheng Wang, Jiajie Xu, Chengfei Liu, Rui Zhou, Pengpeng Zhao:
MTGCN: A Multitask Deep Learning Model for Traffic Flow Prediction. DASFAA (1) 2020: 435-451 - [c82]Jia Chen, Binbin Gu, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao:
SAEA: Self-Attentive Heterogeneous Sequence Learning Model for Entity Alignment. DASFAA (1) 2020: 452-467 - [c81]Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao:
Hierarchical Variational Attention for Sequential Recommendation. DASFAA (3) 2020: 523-539 - [c80]Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao:
Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. DASFAA (3) 2020: 557-572 - [c79]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c78]Jiafeng Ding, Junhua Fang, Pingfu Chao, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
A Distributed Framework for Online Stream Data Clustering. ICA3PP (1) 2020: 190-204 - [c77]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. ICRA 2020: 3139-3145 - [c76]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 - [c75]Jia Chen, Zhixu Li, Pengpeng Zhao, An Liu, Lei Zhao, Zhigang Chen, Xiangliang Zhang:
Learning Short-Term Differences and Long-Term Dependencies for Entity Alignment. ISWC (1) 2020: 92-109 - [c74]Manman Wang, Wei Chen, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
User Profile Linkage Across Multiple Social Platforms. WISE (1) 2020: 125-140 - [c73]Shengjun Hua, Wei Chen, Zhixu Li, Pengpeng Zhao, Lei Zhao:
Path-Based Academic Paper Recommendation. WISE (2) 2020: 343-356 - [c72]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 - [i5]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020)
2010 – 2019
- 2019
- [j22]Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui:
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation. IEEE Access 7: 49813-49821 (2019) - [j21]Binbin Che, Pengpeng Zhao, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation. IEEE Access 7: 80644-80650 (2019) - [j20]Junhua Fang, Pengpeng Zhao, An Liu, Zhixu Li, Lei Zhao:
Scalable and Adaptive Joins for Trajectory Data in Distributed Stream System. J. Comput. Sci. Technol. 34(4): 747-761 (2019) - [c71]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 - [c70]Maolong Li, Qiang Yang, Fuzhen He, Zhixu Li, Pengpeng Zhao, Lei Zhao, Zhigang Chen:
An Unsupervised Learning Approach for NER Based on Online Encyclopedia. APWeb/WAIM (1) 2019: 329-344 - [c69]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
AdaCML: Adaptive Collaborative Metric Learning for Recommendation. DASFAA (2) 2019: 301-316 - [c68]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. DASFAA (2) 2019: 317-332 - [c67]Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Attention and Convolution Enhanced Memory Network for Sequential Recommendation. DASFAA (2) 2019: 333-349 - [c66]Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen:
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. DASFAA (1) 2019: 367-382 - [c65]Jiafeng Ding, Junhua Fang, Zonglei Zhang, Pengpeng Zhao, Jiajie Xu, Lei Zhao:
Real-Time Trajectory Similarity Processing Using Longest Common Subsequence. HPCC/SmartCity/DSS 2019: 1398-1405 - [c64]Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng:
Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery. ICDM 2019: 140-149 - [c63]Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng:
DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation. ICDM 2019: 608-617 - [c62]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 - [c61]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - [c60]Jiaxin Hu, Zhixu Li, Renshou Wu, Hongling Wang, An Liu, Jiajie Xu, Pengpeng Zhao, Lei Zhao:
Distant Supervised Why-Question Generation with Passage Self-Matching Attention. IJCNN 2019: 1-8 - [c59]Tianlu Yan, Wei Chen, Pengpeng Zhao, Zhixu Li, An Liu, Lei Zhao:
Handling Conditional Queries on Hyperledger Fabric Efficiently. WISE 2019: 48-62 - [c58]Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Interaction Graph Neural Network for News Recommendation. WISE 2019: 599-614 - [c57]Chenpeng Fu, Zhixu Li, Qiang Yang, Zhigang Chen, Junhua Fang, Pengpeng Zhao, Jiajie Xu:
Multiple Interaction Attention Model for Open-World Knowledge Graph Completion. WISE 2019: 630-644 - [c56]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong:
Recurrent Convolutional Neural Network for Sequential Recommendation. WWW 2019: 3398-3404 - [i4]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) - [i3]Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She:
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. CoRR abs/1911.05603 (2019) - 2018
- [j19]Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui:
Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation. IEEE Access 6: 68874-68881 (2018) - [j18]Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui:
Efficient sampling methods for characterizing POIs on maps based on road networks. Frontiers Comput. Sci. 12(3): 582-592 (2018) - [j17]Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
An Active Learning Approach for Multi-Label Image Classification with Sample Noise. Int. J. Pattern Recognit. Artif. Intell. 32(3): 1850005:1-1850005:23 (2018) - [j16]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng:
A Generative Model Approach for Geo-Social Group Recommendation. J. Comput. Sci. Technol. 33(4): 727-738 (2018) - [j15]Xuefeng Xian, Zhiming Cui, Pengpeng Zhao, Zhaobin Liu, Caidong Gu:
基于主题模型的位置感知订阅发布系统 (Location-awareness Publication Subscription System Based on Topic Model). 计算机科学 45(3): 165-170 (2018) - [j14]Zhihu Qian, Jiajie Xu, Kai Zheng, Pengpeng Zhao, Xiaofang Zhou:
Semantic-aware top-k spatial keyword queries. World Wide Web 21(3): 573-594 (2018) - [c55]Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng:
Exploiting Implicit Social Relationship for Point-of-Interest Recommendation. APWeb/WAIM (2) 2018: 280-297 - [c54]Jing Zhao, Jiajie Xu, Rui Zhou, Pengpeng Zhao, Chengfei Liu, Feng Zhu:
On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach. CIKM 2018: 1413-1422 - [c53]Qing Qian, Zhixu Li, Pengpeng Zhao, Wei Chen, Hongzhi Yin, Lei Zhao:
Publishing Graph Node Strength Histogram with Edge Differential Privacy. DASFAA (2) 2018: 75-91 - [c52]Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou:
LC-RNN: A Deep Learning Model for Traffic Speed Prediction. IJCAI 2018: 3470-3476 - [c51]Jiali Yang, Zhixu Li, Hongzhi Yin, Pengpeng Zhao, An Liu, Zhigang Chen, Lei Zhao:
Unified User and Item Representation Learning for Joint Recommendation in Social Network. WISE (2) 2018: 35-50 - [c50]