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Hua-Wei Shen
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2020 – today
- 2025
[c147]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. COLING 2025: 4457-4473- [c146]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. COLING 2025: 5375-5390 - 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, Bingbing 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) - [j37]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024) - [j36]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024) - [j35]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42(2): 57:1-57:32 (2024) - [j34]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024) - [c145]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 - [c144]Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou:
Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. AAAI 2024: 19560-19568 - [c143]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - [c142]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. ACL (Student Research Workshop) 2024: 146-161 - [c141]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. ACL (Findings) 2024: 5984-5996 - [c140]Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang:
Unlocking the Power of Large Language Models for Entity Alignment. ACL (1) 2024: 7566-7583 - [c139]Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng:
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CIKM 2024: 207-217 - [c138]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418 - [c137]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c136]Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen:
S2-HTC: Hierarchical Text Classification via Fusing the Structural and Semantic Information. DASFAA (5) 2024: 52-70 - [c135]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 - [c134]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen:
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. EMNLP (Findings) 2024: 4079-4087 - [c133]Yu Chen, Qi Cao, Kaike Zhang, Xuchao Liu, Huawei Shen:
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks. EMNLP (Findings) 2024: 5837-5849 - [c132]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. EMNLP 2024: 14131-14143 - [c131]Yinghan Shen, Yu Yan, Dechun Yin, Huawei Shen:
BCC: Bidirectional Consistency Constraint Method for Hierarchical Text Classification. ICASSP 2024: 11271-11275 - [c130]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 - [c129]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403 - [c128]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. NAACL-HLT (Findings) 2024: 3925-3951 - [c127]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689 - [c126]Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. RecSys 2024: 701-711 - [c125]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279 - [c124]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR 2024: 208-217 - [c123]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742 - [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 - [c121]Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. WWW (Companion Volume) 2024: 489-492 - [c120]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW 2024: 1330-1340 - [c119]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373 - [c118]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen:
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. WWW 2024: 2325-2336 - [i113]Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng:
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR abs/2401.12895 (2024) - [i112]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024) - [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) - [i110]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR abs/2402.02764 (2024) - [i109]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng:
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR abs/2402.10612 (2024) - [i108]Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen:
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. CoRR abs/2402.10695 (2024) - [i107]Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024) - [i106]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024) - [i105]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024) - [i104]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024) - [i103]Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang:
Unlocking the Power of Large Language Models for Entity Alignment. CoRR abs/2402.15048 (2024) - [i102]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024) - [i101]Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng:
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR abs/2403.19275 (2024) - [i100]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR abs/2404.04990 (2024) - [i99]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR abs/2404.09043 (2024) - [i98]Shuchang Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding:
When to Trust LLMs: Aligning Confidence with Response Quality. CoRR abs/2404.17287 (2024) - [i97]Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR abs/2405.15349 (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) - [i95]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR abs/2406.00944 (2024) - [i94]Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen:
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. CoRR abs/2406.11263 (2024) - [i93]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (2024) - [i92]Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen:
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. CoRR abs/2408.10666 (2024) - [i91]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024) - [i90]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. CoRR abs/2410.01285 (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) - [i88]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. CoRR abs/2410.12662 (2024) - [i87]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (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
- [j33]Jiangli Shao, Yongqing Wang, Hao Gao, Boshen Shi, Huawei Shen, Xueqi Cheng:
AsyLink: user identity linkage from text to geo-location via sparse labeled data. Neurocomputing 515: 174-184 (2023) - [j32]Jianian Li, Peng Bao, Rong Yan, Huawei Shen:
DyTSCL: Dynamic graph representation via tempo-structural contrastive learning. Neurocomputing 556: 126660 (2023) - [j31]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Inf. Process. Manag. 60(4): 103361 (2023) - [j30]Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng:
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60(4): 103403 (2023) - [j29]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Fei Sun, Xueqi Cheng:
Adversarial camouflage for node injection attack on graphs. Inf. Sci. 649: 119611 (2023) - [j28]Junjie Huang, Win-Bin Huang, Yi Bu, Qi Cao, Huawei Shen, Xueqi Cheng:
What makes a successful rebuttal in computer science conferences?: A perspective on social interaction. J. Informetrics 17(3): 101427 (2023) - [j27]Boshen Shi, Yongqing Wang, Jiangli Shao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Node classification across networks via category-level domain adaptive network embedding. Knowl. Inf. Syst. 65(12): 5479-5502 (2023) - [j26]Rong Yan, Peng Bao, Huawei Shen, Xuanya Li:
Learning node representation via Motif Coarsening. Knowl. Based Syst. 278: 110821 (2023) - [j25]Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Chengjin Xu, Huawei Shen, Xueqi Cheng:
UniSKGRep: A unified representation learning framework of social network and knowledge graph. Neural Networks 158: 142-153 (2023) - [j24]Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4293-4306 (2023) - [c117]Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
A Provable Framework of Learning Graph Embeddings via Summarization. AAAI 2023: 4946-4953 - [c116]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) 2023: 6620-6635 - [c115]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) 2023: 9945-9959 - [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 - [c113]Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CIKM 2023: 203-212 - [c112]Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. CIKM 2023: 2208-2218 - [c111]Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng:
CANA: Causal-enhanced Social Network Alignment. CIKM 2023: 2219-2228 - [c110]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Improving Graph Domain Adaptation with Network Hierarchy. CIKM 2023: 2249-2258 - [c109]Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen:
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM 2023: 4155-4159 - [c108]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CIKM 2023: 5396-5400 - [c107]Xuhui Jiang, Yinghan Shen, Yuanzhuo Wang, Huawei Shen, Chengjin Xu, Shengjie Ma:
Meta-Path Based Social Relation Reasoning in a Deep and Robust Way. DASFAA (3) 2023: 3-20 - [c106]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) 2023: 373-388 - [c105]Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen:
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. EMNLP (Findings) 2023: 664-673 - [c104]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) 2023: 2113-2133 - [c103]Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) 2023: 2500-2510 - [c102]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) 2023: 4424-4436 - [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 - [c99]Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. NeurIPS 2023 - [c98]Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. SIGIR 2023: 1801-1805 - [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 - [i85]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR abs/2301.03765 (2023) - [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) - [i83]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. CoRR abs/2301.13606 (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) - [i81]Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng:
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR abs/2302.02317 (2023) - [i80]Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. CoRR abs/2302.08051 (2023) - [i79]Xuhui Jiang, Chengjin Xu, Yinghan Shen, Fenglong Su, Yuanzhuo Wang, Fei Sun, Zixuan Li, Huawei Shen:
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method. CoRR abs/2304.03468 (2023) - [i78]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR abs/2304.14732 (2023) - [i77]Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng:
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. CoRR abs/2305.05204 (2023) - [i76]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. CoRR abs/2305.11052 (2023) - [i75]