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ORCIDHuawei Shen
- > Home > Persons > Huawei Shen
Publications
- 2025
[j42]Boshen Shi, Yongqing Wang, Fangda Guo, Bing-Bing Xu
, Hua-Wei Shen, Xueqi Cheng:
Domain Adaptation for Graph Representation Learning: Challenges, Progress, and Prospects. J. Comput. Sci. Technol. 40(2): 283-300 (2025)- [c160]Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen:
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. ACL (1) 2025: 19291-19307 - [c150]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. SIGIR 2025: 719-728 - [c149]Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Calibration and Correction for Long-Form Generations. SIGIR 2025: 2807-2811 - [c148]Shengmao Zhu, Bingbing Xu, Yige Yuan, Bin Xie, Yunfan Li, Huawei Shen:
Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. WWW (Companion Volume) 2025: 2998-3002 - [i123]Xueyun Tian, Wei Li, Bingbing Xu, Yige Yuan, Yuanzhuo Wang, Huawei Shen:
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing. CoRR abs/2502.21291 (2025) - [i121]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. CoRR abs/2505.06282 (2025) - [i117]Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng:
Inference-time Alignment in Continuous Space. CoRR abs/2505.20081 (2025) - [i116]Bin Xie, Bingbing Xu, Yige Yuan, Shengmao Zhu, Huawei Shen:
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. CoRR abs/2506.12446 (2025) - 2024
- [j40]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024) - [j39]Keting Cen, Hua-Wei Shen, Qi Cao, Bing-Bing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - [j38]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - [c146]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - [c138]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c136]Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374 - [c131]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296 - [c122]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR 2024: 2548-2552 - [i111]Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024) - [i96]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR abs/2405.16224 (2024) - [i89]Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024) - [i86]Yige Yuan, Bingbing Xu, Hexiang Tan, Fei Sun, Teng Xiao, Wei Li, Huawei Shen, Xueqi Cheng:
Fact-Level Confidence Calibration and Self-Correction. CoRR abs/2411.13343 (2024) - 2023
- [c114]Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CIKM 2023: 99-109 - [c109]Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen:
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM 2023: 4155-4159 - [c101]Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. KDD 2023: 3309-3320 - [c100]Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen:
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD 2023: 5685-5694 - [c97]Bingbing Xu, Bin Xie, Huawei Shen:
Towards Deeper Graph Neural Networks via Layer-Adaptive. WWW (Companion Volume) 2023: 103-106 - [c96]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWW 2023: 274-285 - [c95]Bingbing Xu, Yang Li, Qi Cao, Huawei Shen:
Simple Multi-view Can Bring Powerful Graph Neural Network. WWW (Companion Volume) 2023: 322-325 - [i84]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. CoRR abs/2301.13492 (2023) - [i82]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR abs/2302.00873 (2023) - [i72]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant Causal Defense for Graph Adversarial Robustness. CoRR abs/2305.15792 (2023) - [i71]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. CoRR abs/2305.15835 (2023) - [i68]Wendong Bi, Xueqi Cheng, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen:
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. CoRR abs/2308.09499 (2023) - [i67]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
Significant-attributed Community Search in Heterogeneous Information Networks. CoRR abs/2308.13244 (2023) - [i59]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-time Energy Adaptation. CoRR abs/2311.14402 (2023) - 2022
- [j21]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng:
Location-aware convolutional neural networks for graph classification. Neural Networks 155: 74-83 (2022) - [c89]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9 - [c87]Zhengyi Li, Wen Li, Dongyan Wei, Hong Yuan, Bingbing Xu, Huawei Shen:
Coordinate Mapping Method of Crowdsourced Data for Indoor Fingerprint Localization. IPIN 2022: 1-8 - [c86]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Zidong Wang, Huawei Shen, Xueqi Cheng:
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. KDD 2022: 2712-2720 - [c85]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Muhan Zhang, Xueqi Cheng:
Towards Efficient and Expressive GNNs for Graph Classification via Subgraph-Aware Weisfeiler-Lehman. LoG 2022: 17 - [i58]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022) - [i49]Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng:
DyTed: Disentangling Temporal Invariance and Fluctuations in Dynamic Graph Representation Learning. CoRR abs/2210.10592 (2022) - [i48]Yang Li, Bingbing Xu, Qi Cao, Yige Yuan, Huawei Shen:
Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. CoRR abs/2211.09813 (2022) - [i47]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022) - 2021
- [c77]Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI 2021: 4537-4545 - 2020
- [c50]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900 - [i30]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020) - [i29]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020) - 2019
- [j11]Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen:
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. 1(2): 137-159 (2019) - [c45]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019 - [c44]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934 - [i22]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019) - [i21]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019)
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