Ziyang Liu

35 papers A* 15A 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training-Free and Unbiased Graph Collaborative Filtering for Personalized Recommendations.
IEEE Trans. Knowl. Data Eng.
Ziyang Liu, Chaokun Wang, Cheng Wu, Leqi Zheng, Hao Feng, Hang Zhang
2026 A* conf
What Should I Cite? A RAG Benchmark for Academic Citation Prediction.
WWW
Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu
2026 J jnl
What Should I Cite? A RAG Benchmark for Academic Citation Prediction.
CoRR
Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu
2025 A* conf
Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning.
SIGIR
Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li
2025 A* conf
Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention.
ICDE
Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng
2025 A* conf
Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract).
ICDE
Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen
2025 — conf
LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation.
EMNLP (Findings)
Leqi Zheng, Chaokun Wang, Canzhi Chen, Jiajun Zhang, Cheng Wu, Zixin Song, Shannan Yan, Ziyang Liu, Hongwei Li
2025 A* conf
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion.
AAAI
Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang
2025 J jnl
PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL.
Proc. ACM Manag. Data
Hang Zhang, Chaokun Wang, Hongwei Li, Cheng Wu, Songyao Wang, Yabin Liu, Gengyuan Shi, Ziyang Liu
2025 J jnl
Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems.
Trans. Recomm. Syst.
Ziyang Liu, Chaokun Wang, Shuwen Zheng, Cheng Wu, Kai Zheng, Yang Song, Na Mou
2025 — conf
TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion.
ACL (1)
Ziyang Liu, Chaokun Wang
2024 J jnl
Efficient Unsupervised Graph Embedding With Attributed Graph Reduction and Dual-Level Loss.
IEEE Trans. Knowl. Data Eng.
Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen
2024 A* conf
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.
WWW
Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai
2024 A* conf
Graph Contrastive Learning with Reinforcement Augmentation.
IJCAI
Ziyang Liu, Chaokun Wang, Cheng Wu
2024 A* conf
GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs.
ICDE
Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan
2024 A* conf
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs.
ICDE
Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song
2024 — conf
Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation.
APWeb/WAIM (3)
Hongwei Li, Chaokun Wang, Ziyang Liu
2024 J jnl
TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst.
Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu
2023 J jnl
Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst.
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023 A* conf
Fast Unsupervised Graph Embedding via Graph Zoom Learning.
ICDE
Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng
2023 A* conf
Graph Contrastive Learning with Generative Adversarial Network.
KDD
Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
2023 J jnl
Graph Contrastive Learning with Generative Adversarial Network.
CoRR
Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
2023 J jnl
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation.
CoRR
Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai
2022 — conf
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search.
EMNLP (Industry Track)
Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang
2022 J jnl
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search.
CoRR
Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang
2022 J jnl
TeKo: Text-Rich Graph Neural Networks with External Knowledge.
CoRR
Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu
2021 A* conf
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
ICDM
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021 A conf
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.
WSDM
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2021 J jnl
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.
CoRR
Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin
2020 A* conf
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
ICDM
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020 J jnl
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
CoRR
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020 J jnl
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.
CoRR
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2020 A* conf
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.
ICDM
Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang
2019 A* conf
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.
AAAI
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
2018 — conf
Robust Detection of Communities with Multi-semantics in Large Attributed Networks.
KSEM (1)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial