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2020 – today
- 2024
[i5]Yimu Wang, Shuai Yuan, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu:
HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models. CoRR abs/2404.05083 (2024)- [i4]Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu:
Do spectral cues matter in contrast-based graph self-supervised learning? CoRR abs/2405.19600 (2024) - 2023
- [c4]Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou:
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. IEEE Big Data 2023: 966-975 - [c3]Qixin Zhang
, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM 2023: 3330-3339 - [c2]Xiangru Jian, Yimu Wang:
InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution. EMNLP (Findings) 2023: 836-865 - [c1]Yimu Wang, Xiangru Jian, Bo Xue:
Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks. EMNLP 2023: 10542-10567 - [i3]Yimu Wang, Xiangru Jian, Bo Xue:
Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks. CoRR abs/2310.11612 (2023) - [i2]Xiangru Jian, Yimu Wang:
InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution. CoRR abs/2310.13276 (2023) - 2022
- [i1]Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR abs/2208.08681 (2022)
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