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2020 – today
- 2024
[j54]Yang Wu, Junhua Fang, Wei Chen, Pengpeng Zhao, Lei Zhao:
Safety: A spatial and feature mixed outlier detection method for big trajectory data. Inf. Process. Manag. 61(2): 103679 (2024)- [j53]Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. J. Intell. Inf. Syst. 62(1): 143-161 (2024) - [j52]Chuanjiu Wu
, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu:
Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Trans. Comput. Soc. Syst. 11(3): 3955-3965 (2024) - [j51]Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(4): 87:1-87:15 (2024) - [j50]Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(7): 177 (2024) - [j49]Shangfei Zheng, Wei Chen, Weiqing Wang, Pengpeng Zhao, Hongzhi Yin, Lei Zhao:
Multi-Hop Knowledge Graph Reasoning in Few-Shot Scenarios. IEEE Trans. Knowl. Data Eng. 36(4): 1713-1727 (2024) - [c126]Xingying Tong, Huanhuan Yuan, Yongjing Hao, Junhua Fang, Guanfeng Liu, Pengpeng Zhao:
Logic Preference Fusion Reasoning on Recommendation. APWeb/WAIM (2) 2024: 99-114 - [c125]Xinyu Qian, Yongjing Hao, Xuefeng Xian, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao:
Enhancing Spatio-temporal Semantics with Contrastive Learning for Next POI Recommendation. APWeb/WAIM (2) 2024: 374-389 - [c124]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c123]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. ICDE 2024: 705-718 - [c122]Yuyang Wei, Wei Chen, Xiaofang Zhang, Pengpeng Zhao, Jianfeng Qu, Lei Zhao:
Multi-Modal Siamese Network for Few-Shot Knowledge Graph Completion. ICDE 2024: 719-732 - [c121]Chunhui Feng, Junhua Fang, Yue Xia, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Xiaofang Zhou:
Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data. ICDE 2024: 4504-4517 - [c120]Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou:
Multi-Modality is All You Need for Transferable Recommender Systems. ICDE 2024: 5008-5021 - [c119]Wen Yang, Jiajie Xu, Rui Zhou, Lu Chen, Jianxin Li, Pengpeng Zhao, Chengfei Liu:
Multi-view Attentive Variational Learning for Group Recommendation. ICDE 2024: 5022-5034 - [c118]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 - [i24]Shangfei Zheng, Hongzhi Yin, Tong Chen, Xiangjie Kong, Jian Hou, Pengpeng Zhao:
CADRL: Category-aware Dual-agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs. CoRR abs/2408.03166 (2024) - 2023
- [j48]Tao Li, Pengpeng Zhao, Yadong Zhou, Yidai Zhang:
Quantum Image Processing Algorithm Using Line Detection Mask Based on NEQR. Entropy 25(5): 738 (2023) - [j47]Pengrui Ren, Tianyu Xu, Jianfeng Qu, Yu Sang, Zhixu Li, Junhua Fang, Pengpeng Zhao, Guilin Ma:
Tuning N-ary relation extraction as Machine Reading Comprehension. Neurocomputing 562: 126893 (2023) - [j46]Zheng Chen, Junhua Fang, Pingfu Chao, Pengpeng Zhao, Jiajie Xu, Lei Zhao:
MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN. Knowl. Based Syst. 278: 110890 (2023) - [j45]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) - [j44]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) - [j43]Minrui Xu, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Pengpeng Zhao, Chengfei Liu:
Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10011-10023 (2023) - [j42]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j41]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - [j40]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. World Wide Web (WWW) 26(6): 4153-4172 (2023) - [c117]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 - [c116]Yufeng Zhang, Weiqing Wang, Hongzhi Yin, Pengpeng Zhao, Wei Chen, Lei Zhao:
Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction. ICDE 2023: 381-393 - [c115]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. ICDE 2023: 2673-2685 - [c114]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI 2023: 2432-2440 - [c113]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 - [c112]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 - [c111]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 - [i23]Hanwen Du, Huanhuan Yuan, Zhen Huang, Pengpeng Zhao, Xiaofang Zhou:
Sequential Recommendation with Diffusion Models. CoRR abs/2304.04541 (2023) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou:
Multi-Modality is All You Need for Transferable Recommender Systems. CoRR abs/2312.09602 (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]