| Performance study of two-hop amplify-and-forward systems with untrustworthy relay nodes L Sun, T Zhang, Y Li, H Niu IEEE Transactions on Vehicular Technology 61 (8), 3801-3807, 2012 | 171 | 2012 |
| On the combination of cooperative diversity and multiuser diversity in multi-source multi-relay wireless networks L Sun, T Zhang, L Lu, H Niu IEEE Signal Processing Letters 17 (6), 535-538, 2010 | 84 | 2010 |
| Exploiting fountain codes for secure wireless delivery H Niu, M Iwai, K Sezaki, L Sun, Q Du IEEE Communications Letters 18 (5), 777-780, 2014 | 83 | 2014 |
| Cooperative communications with relay selection in wireless sensor networks L Sun, T Zhang, L Lu, H Niu IEEE Transactions on Consumer Electronics 55 (2), 513-517, 2009 | 59 | 2009 |
| Inter-relay interference in two-path digital relaying systems: Detrimental or beneficial? L Sun, T Zhang, H Niu IEEE transactions on wireless communications 10 (8), 2468-2473, 2011 | 34 | 2011 |
| Preliminary investigation of alleviating user cold-start problem in e-commerce with deep cross-domain recommender system H Wang, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, ... Companion Proceedings of The 2019 World Wide Web Conference, 398-403, 2019 | 30 | 2019 |
| Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders D Cao, J Enouen, Y Wang, X Song, C Meng, H Niu, Y Liu arXiv preprint arXiv:2303.02320, 2023 | 20 | 2023 |
| Effect of multiple antennas at the destination on the diversity performance of amplify-and-forward systems with partial relay selection L Sun, T Zhang, H Niu, J Wang IEEE Signal Processing Letters 17 (7), 631-634, 2010 | 20 | 2010 |
| Multi-source transfer learning for human activity recognition in smart homes H Niu, D Nguyen, K Yonekawa, M Kurokawa, S Wada, K Yoshihara 2020 IEEE international conference on smart computing (SMARTCOMP), 274-277, 2020 | 17 | 2020 |
| Mu2rest: Multi-resolution recursive spatio-temporal transformer for long-term prediction H Niu, C Meng, D Cao, G Habault, R Legaspi, S Wada, C Ono, Y Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 68-80, 2022 | 12 | 2022 |
| Security-embedded opportunistic user cooperation with full diversity H Niu, N Zhu, L Sun, AV Vasilakos, K Sezaki Wireless networks 22, 1513-1522, 2016 | 9 | 2016 |
| Time-delayed Multivariate Time Series Predictions H Niu, G Habault, R Legaspi, C Meng, D Cao, S Wada, C Ono, Y Liu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 7 | 2023 |
| Physics-informed long-sequence forecasting from multi-resolution spatiotemporal data C Meng, H Niu, G Habault, R Legaspi, S Wada, C Ono, Y Liu Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 7 | 2022 |
| Secure transmission through multihop relaying in wireless body area networks H Niu, L Sun, M Ito, K Sezaki 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE), 395-396, 2014 | 6 | 2014 |
| On the Transferability of Deep Neural Networks for Recommender System. D Nguyen, H Niu, K Yonekawa, M Kurokawa, C Ono, D Amagata, ... IAL@ PKDD/ECML, 22-37, 2020 | 5 | 2020 |
| Virtual touch-point: trans-domain behavioral targeting via transfer learning M Kurokawa, H Niu, K Yonekawa, A Kobayashi, D Amagata, T Maekawa, ... 2018 IEEE International Conference on Big Data (Big Data), 4762-4767, 2018 | 5 | 2018 |
| Towards Multimodal Spatio-Temporal Transformer-based Models for Traffic Congestion Prediction HQ Ung, Y Mishima, H Niu, S Wada Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and …, 2023 | 4 | 2023 |
| Advertiser-assisted behavioral ad-targeting via denoised distribution induction K Yonekawa, H Niu, M Kurokawa, A Kobayashi, D Amagata, T Maekawa, ... 2019 IEEE International Conference on Big Data (Big Data), 5611-5619, 2019 | 4 | 2019 |
| Behavior matching between different domains based on canonical correlation analysis Y Lyu, D Amagata, T Maekawa, T Hara, H Niu, K Yonekawa, M Kurokawa Companion Proceedings of The 2019 World Wide Web Conference, 361-366, 2019 | 4 | 2019 |
| A heterogeneous domain adversarial neural network for trans-domain behavioral targeting K Yonekawa, H Niu, M Kurokawa, A Kobayashi, D Amagata, T Maekawa, ... Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 …, 2019 | 4 | 2019 |
