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Jing Zhu 0005
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
Other persons with the same name
- Jing Zhu — disambiguation page
- Jing Zhu 0001 — Intel Corporation, Communication Technology Laboratory, Hillsboro, OR, USA (and 1 more)
- Jing Zhu 0002 — New York University, Multimedia and Visual Computing Lab, USA
- Jing Zhu 0003
— Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, China
- Jing Zhu 0004
- Jing Zhu 0006
- Jing Zhu 0007
- Jing Zhu 0008
- Jing Zhu 0009
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Conference and Workshop Papers
- 2024
- [c7]Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang:
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. EMNLP (Findings) 2024: 3315-3333 - [c6]Jing Zhu
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR 2024: 2662-2666 - [c5]Jing Zhu
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. WSDM 2024: 994-1002 - 2022
- [c4]Jing Zhu, Danai Koutra, Mark Heimann:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. CIKM 2022: 4747-4751 - [c3]Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens:
Touch and Go: Learning from Human-Collected Vision and Touch. NeurIPS 2022 - 2021
- [c2]Tara Safavi, Jing Zhu, Danai Koutra:
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases. EMNLP (1) 2021: 5633-5646 - [c1]Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra:
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. SDM 2021: 163-171
Informal and Other Publications
- 2024
- [i9]Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra:
LinkGPT: Teaching Large Language Models To Predict Missing Links. CoRR abs/2406.04640 (2024) - [i8]Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang:
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. CoRR abs/2406.13114 (2024) - [i7]Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra:
Multimodal Graph Benchmark. CoRR abs/2406.16321 (2024) - [i6]Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra:
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. CoRR abs/2409.17475 (2024) - 2023
- [i5]Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra:
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. CoRR abs/2306.00899 (2023) - [i4]Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos:
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR abs/2309.13885 (2023) - 2022
- [i3]Jing Zhu, Danai Koutra, Mark Heimann:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. CoRR abs/2208.10682 (2022) - [i2]Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens:
Touch and Go: Learning from Human-Collected Vision and Touch. CoRR abs/2211.12498 (2022) - 2021
- [i1]Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra:
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. CoRR abs/2102.13582 (2021)
Coauthor Index
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