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Shenghao Liu
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2020 – today
- 2024
- [j12]Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou:
A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks. Connect. Sci. 36(1) (2024) - [j11]Jing Ye
, Shenghao Liu, Changzhen Qiu, Zhiyong Zhang
Learning multi-granularity semantic interactive representation for joint low-light image enhancement and super-resolution. Inf. Fusion 110: 102467 (2024) - [j10]Lingyun Lu
Distinguishing latent interaction types from implicit feedbacks for recommendation. Inf. Sci. 654: 119834 (2024) - [j9]Shenghao Liu, Jiayang Sun, Xianjun Deng, Heng Wang, Wei Liu, Chenlu Zhu, Laurence T. Yang, Celimuge Wu:
Towards platform profit-aware fairness in personalized recommendation. Int. J. Mach. Learn. Cybern. 15(10): 4341-4356 (2024) - [j8]Shenghao Liu
Dual-Side Adversarial Learning Based Fair Recommendation for Sensitive Attribute Filtering. ACM Trans. Knowl. Discov. Data 18(7): 165 (2024) - [c17]Kangli Niu, Shenghao Liu, Lingzhi Yi, Xianjun Deng, Suning Chen, Laurence T. Yang, Minmin Cheng:
ENSIOT: A Stacking Ensemble Learning Approach for IoT Device Identification. IWQoS 2024: 1-6 - [c16]Shenghao Liu
TrustGo: Trust Mining and Multi-semantic Regularization in Social Recommendation. ICMR 2024: 888-896 - 2023
- [j7]Bang Wang
MultiFDF: Multi-Community Clustering for Fairness-Aware Recommendation. IEEE Trans. Comput. Soc. Syst. 10(6): 2959-2970 (2023) - [j6]Yunzhi Xia
A Trust-Based Reliable Confident Information Coverage Model of Wireless Sensor Networks for Intelligent Transportation. IEEE Trans. Veh. Technol. 72(7): 9542-9554 (2023) - [c15]Shenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence T. Yang, James J. Park:
Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal. ICDM 2023: 428-437 - [c14]Dave J. Thomson, Weiwei Zhang, Martin Ebert, Ke Li, Bigeng Chen, Shenghao Liu, Wei Cao, Fanfan Meng, Xingzhao Yan, Han Du, Mehdi Banakar, Dehn T. Tran, Callum George Littlejohns, Graham T. Reed:
High Efficiency and High-Speed Silicon Optical Modulators. ICTON 2023: 1-4 - [c13]Lingyun Lu
VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. WSDM 2023: 526-534 - 2022
- [j5]Shenghao Liu
HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation. IEEE Trans. Netw. Sci. Eng. 9(3): 1056-1066 (2022) - [j4]Shenghao Liu
Self-Attentive Graph Convolution Network With Latent Group Mining and Collaborative Filtering for Personalized Recommendation. IEEE Trans. Netw. Sci. Eng. 9(5): 3212-3221 (2022) - [c12]Yuanyuan He, Fayao Wang, Xianjun Deng, Jianbing Ni, Jun Feng
Ordinal Data Stream Collection with Condensed Local Differential Privacy. HPCC/DSS/SmartCity/DependSys 2022: 562-569 - [c11]Jiakai Luo, Hongwei Lu, Xin Nie, Shenghao Liu, Xianjun Deng, Chenlu Zhu:
CUE: Compound Uniform Encoding for Writer Retrieval. MSN 2022: 773-780 - [c10]Shenghao Liu, Bang Wang, Bin Liu, Laurence T. Yang:
Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation. PAKDD (3) 2022: 16-28 - [c9]Siyu Sun, Xiaoxuan Fan, Yunzhi Xia, Chenlu Zhu, Shenghao Liu, Lingzhi Yi:
Coverage Reliability of IoT Intrusion Detection System based on Attack-Defense Game Design. TrustCom 2022: 74-82 - [i1]Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu:
Virtual Relational Knowledge Graphs for Recommendation. CoRR abs/2204.01089 (2022) - 2020
- [c8]David J. Thomson, Weiwei Zhang, Kapil Debnath, Bigeng Chen, Ke Li, Shenghao Liu, Martin Ebert, Jamie D. Reynolds
High Performance Silicon Optical Modulators. ICTON 2020: 1-3 - [c7]Wei Cao, Milos Nedeljkovic, Shenghao Liu, Callum George Littlejohns, David J. Thomson, Frederic Y. Gardes, Zhengqi Ren, Ke Li, Graham T. Reed, Goran Z. Mashanovich:
25 Gbit/S Silicon Based Modulators for the 2 μm Wavelength Band. OFC 2020: 1-3 - [c6]Yang Hong, Ke Li, Cosimo Lacava, Shenghao Liu, David J. Thomson, Fanfan Meng, Xiaoke Ruan, Fan Zhang, Graham T. Reed, Periklis Petropoulos:
Beyond 100-Gb/s Direct-Detection Transmission using an Optical Receiver Co-Integrated with a 28-nm CMOS Gain-Tunable Fully-Differential TIA. OFC 2020: 1-3
2010 – 2019
- 2019
- [j3]Minghua Xu
Semantic-Enhanced and Context-Aware Hybrid Collaborative Filtering for Event Recommendation in Event-Based Social Networks. IEEE Access 7: 17493-17502 (2019) - [j2]Shenghao Liu, Bang Wang, Minghua Xu, Laurence T. Yang
Evolving graph construction for successive recommendation in event-based social networks. Future Gener. Comput. Syst. 96: 502-514 (2019) - [c5]David J. Thomson, Ke Li, Wei Cao, David Hagan, Shenghao Liu, Fanfan Meng, Milos Nedeljkovic
Silicon Optical Modulators for Data Transmission in Different Wavelength Bands. ICTON 2019: 1-4 - 2018
- [j1]Shenghao Liu, Bang Wang
SERGE: Successive Event Recommendation Based on Graph Entropy for Event-Based Social Networks. IEEE Access 6: 3020-3030 (2018) - [c4]Ke Li, Dave J. Thomson, Shenghao Liu, Fanfan Meng, Abdul Shakoor
Co-Design of Electronics and Photonics Components for Silicon Photonics Transmitters. ECOC 2018: 1-3 - [c3]David J. Thomson, Kapil Debnath, Weiwei Zhang
Towards High Speed and Low Power Silicon Photonic Data Links. ICTON 2018: 1-4 - 2017
- [c2]Shenghao Liu, Bang Wang, Minghua Xu:
Event Recommendation based on Graph Random Walking and History Preference Reranking. SIGIR 2017: 861-864 - 2015
- [c1]Shenghao Liu, Ke Li, Peter Wilson:
A temperature independent driver for Mach-Zehnder modulators. ISCAS 2015: 1474-1477
Coauthor Index
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last updated on 2024-10-14 23:29 CEST by the dblp team
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