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ORCIDChuntao Hong
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2020 – today
- 2025
[j4]Shipeng Qi, Bing Tong, Jiatao Hu, Heng Lin, Yue Pang, Wei Yuan, Songlin Lyu, Zhihui Guo, Ke Huang, Xujin Ba, Qiang Yin, Youren Shen, Yan Zhou, Tao Lv, Jia Li, Lei Zou, Yongwei Wu, Gábor Szárnyas, Xiaowei Zhu, Wenguang Chen, Chuntao Hong:
The LDBC Financial Benchmark: Transaction Workload. Proc. VLDB Endow. 18(9): 3007-3020 (2025)- [j3]Li Ma
, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong:
Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification. ACM Trans. Knowl. Discov. Data 19(2): 50:1-50:17 (2025) - [c13]Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang:
M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark. ACL (1) 2025: 30594-30620 - [c12]Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao:
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. KDD (2) 2025: 872-883 - [c11]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Networks: A Decoupled Perspective. KDD (1) 2025: 1527-1538 - [c10]Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong:
Transferable and Forecastable User Targeting Foundation Model. WWW (Companion Volume) 2025: 181-190 - [c9]Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. WWW 2025: 2183-2197 - [i17]Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. CoRR abs/2503.03258 (2025) - [i16]Xiabao Wu, Yongchao Liu, Wei Qin, Chuntao Hong:
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs. CoRR abs/2503.06208 (2025) - [i15]Yue Jin, Yongchao Liu, Chuntao Hong:
GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs. CoRR abs/2503.06212 (2025) - [i14]Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong:
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. CoRR abs/2507.03267 (2025) - [i13]Chuan He, Yongchao Liu, Qiang Li, Wenliang Zhong, Chuntao Hong, Xin Yao:
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. CoRR abs/2508.00452 (2025) - [i12]Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao:
Learning Unified User Quantized Tokenizers for User Representation. CoRR abs/2508.00956 (2025) - [i11]Yuwei Hu, Xinyi Huang, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Rethinking and Benchmarking Large Language Models for Graph Reasoning. CoRR abs/2509.24260 (2025) - [i10]Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong:
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses. CoRR abs/2510.17185 (2025) - [i9]Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian:
Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving. CoRR abs/2511.01633 (2025) - 2024
- [j2]Heng Lin, Zhiyong Wang, Shipeng Qi, Xiaowei Zhu, Chuntao Hong, Wenguang Chen, Yingwei Luo:
Building a High-Performance Graph Storage on Top of Tree-Structured Key-Value Stores. Big Data Min. Anal. 7(1): 156-170 (2024) - [c8]Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. ECML/PKDD (6) 2024: 39-56 - [c7]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) 2024: 133-149 - [i8]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR abs/2407.19420 (2024) - [i7]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Network: A Decoupled Perspective. CoRR abs/2408.07654 (2024) - [i6]Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang:
Graph Retrieval-Augmented Generation: A Survey. CoRR abs/2408.08921 (2024) - [i5]Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang:
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. CoRR abs/2410.10329 (2024) - [i4]Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang:
Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. CoRR abs/2411.06866 (2024) - [i3]Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang:
GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. CoRR abs/2411.06878 (2024) - [i2]Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao:
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. CoRR abs/2411.12179 (2024) - [i1]Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong:
Transferable and Forecastable User Targeting Foundation Model. CoRR abs/2412.12468 (2024) - 2021
- [j1]Xiaowei Zhu, Zhisong Fu, Zhenxuan Pan, Jin Jiang, Chuntao Hong, Yongchao Liu, Yang Fang, Wenguang Chen, Changhua He:
Taking the Pulse of Financial Activities with Online Graph Processing. ACM SIGOPS Oper. Syst. Rev. 55(1): 84-87 (2021)
2010 – 2019
- 2015
- [c6]Luo Mai, Chuntao Hong, Paolo Costa:
Optimizing Network Performance in Distributed Machine Learning. HotCloud 2015 - 2014
- [c5]Zhenyu Guo, Chuntao Hong, Mao Yang, Dong Zhou, Lidong Zhou, Li Zhuang:
Rex: replication at the speed of multi-core. EuroSys 2014: 11:1-11:14 - 2013
- [c4]Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou:
KuaFu: Closing the parallelism gap in database replication. ICDE 2013: 1186-1195 - 2010
- [c3]Chuntao Hong, Dehao Chen, Wenguang Chen, Weimin Zheng, Haibo Lin:
MapCG: writing parallel program portable between CPU and GPU. PACT 2010: 217-226
2000 – 2009
- 2008
- [c2]Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong Shan, Yurong Chen, Yimin Zhang:
Parallelization and Characterization of Probabilistic Latent Semantic Analysis. ICPP 2008: 628-635 - 2007
- [c1]Wenguang Chen, Chuntao Hong:
PBB: a parallel bioinformatics benchmark suite for shared memory multiprocessors. China HPC 2007: 141-144
Coauthor Index
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