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ORCIDZiyang Liu 0004
Person information
- affiliation: Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Ziyang Liu (aka: Zi-Yang Liu) — disambiguation page
- Ziyang Liu 0001 — Facebook, Inc. Menlo Park, CA, USA (and 3 more)
- Ziyang Liu 0002
![[0000-0001-6828-7587]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6828-7587")
— Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, China - Ziyang Liu 0003 — University of California, Santa Barbara, CA, USA
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2020 – today
- 2024
[j3]Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen:
Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss. IEEE Trans. Knowl. Data Eng. 36(12): 8120-8134 (2024)- [j2]Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks With External Knowledge. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14699-14711 (2024) - [c14]Hongwei Li, Chaokun Wang, Ziyang Liu:
Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation. APWeb/WAIM (3) 2024: 494-511 - [c13]Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan:
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. ICDE 2024: 2862-2875 - [c12]Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song:
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. ICDE 2024: 2889-2903 - [c11]Ziyang Liu, Chaokun Wang, Cheng Wu:
Graph Contrastive Learning with Reinforcement Augmentation. IJCAI 2024: 2225-2233 - [c10]Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai:
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. WWW 2024: 3756-3766 - 2023
- [j1]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [c9]Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng:
Fast Unsupervised Graph Embedding via Graph Zoom Learning. ICDE 2023: 2551-2564 - [c8]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. KDD 2023: 2721-2730 - [i7]Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai:
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR abs/2306.04095 (2023) - [i6]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. CoRR abs/2308.00535 (2023) - 2022
- [c7]Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang:
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. EMNLP (Industry Track) 2022: 63-76 - [i5]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - [i4]Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang:
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. CoRR abs/2210.01701 (2022) - 2021
- [c6]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c5]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [i3]Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin:
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. CoRR abs/2101.04850 (2021) - 2020
- [c4]Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin:
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. ICDM 2020: 212-221 - [c3]Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang:
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. ICDM 2020: 1244-1249 - [i2]Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin:
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. CoRR abs/2010.10442 (2020) - [i1]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020)
2010 – 2019
- 2019
- [c2]Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang:
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. AAAI 2019: 152-159 - 2018
- [c1]Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) 2018: 362-376
Coauthor Index
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