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2020 – today
- 2024
[c9]Enqiang Xu
, Xinhui Li, Zhigong Zhou, Jiahao Ji, Jinyuan Zhao, Dadong Miao, Songlin Wang, Lin Liu, Sulong Xu:
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search. CIKM 2024: 5007-5014- [c8]Jiahao Ji, Lixian Zhu, Haojie Zhang, Kun Qian, Kele Xu, Zikai Song, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model. EUSIPCO 2024: 326-330 - [c7]Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. ICLR 2024 - [i6]Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang:
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. CoRR abs/2402.03784 (2024) - [i5]Enqiang Xu, Xinhui Li, Zhigong Zhou, Jiahao Ji, Jinyuan Zhao, Dadong Miao, Songlin Wang, Lin Liu, Sulong Xu:
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search. CoRR abs/2408.05751 (2024) - 2023
- [j2]Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun:
Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. IEEE Trans. Knowl. Data Eng. 35(9): 9073-9087 (2023) - [c6]Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. AAAI 2023: 4356-4364 - [c5]Zhenhe Wu, Xiaoguang Yu, Meng Chen, Liangqing Wu, Jiahao Ji, Zhoujun Li:
Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning. INTERSPEECH 2023: 740-744 - [i4]Jiahao Ji, Jingyuan Wang, Yu Mou, Cheng Long:
Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning. CoRR abs/2310.10374 (2023) - [i3]Jiahao Ji, Wentao Zhang, Jingyuan Wang, Yue He, Chao Huang:
Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling. CoRR abs/2311.12472 (2023) - 2022
- [c4]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. AAAI 2022: 4048-4056 - [c3]Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng:
Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. KDD 2022: 3072-3080 - [c2]Zhenhe Wu, Liangqing Wu, Shuangyong Song, Jiahao Ji, Bo Zou, Zhoujun Li, Xiaodong He:
DialCSP: A Two-Stage Attention-Based Model for Customer Satisfaction Prediction in E-commerce Customer Service. ECML/PKDD (3) 2022: 3-18 - [i2]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang:
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. CoRR abs/2209.00225 (2022) - [i1]Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. CoRR abs/2212.04475 (2022) - 2020
- [j1]Yunyun Duan, Wei Shan, Liying Liu, Qun Wang, Zhenzhou Wu, Pan Liu, Jiahao Ji, Yaou Liu, Kunlun He, Yongjun Wang:
Primary Categorizing and Masking Cerebral Small Vessel Disease Based on "Deep Learning System". Frontiers Neuroinformatics 14: 17 (2020) - [c1]Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang:
Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. ICDM 2020: 1076-1081
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