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Publications
- 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) - [c136]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 - [c134]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 - [c131]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418 - [c130]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 - [c128]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 - [c127]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403 - [c126]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 - [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 - [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 - [i106]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) - [i105]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) - [i104]Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024) - [i103]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) - [i102]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) - [i100]Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024) - [i99]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024) - [i98]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024) - [i97]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i90]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) - [i89]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) - [i88]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) - [i86]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (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) - [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) - [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 - [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 - [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 - [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 - [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 - [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 - [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) - [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]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. CoRR abs/2305.11130 (2023) - [i74]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. CoRR abs/2305.12785 (2023) - [i73]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (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) - [i70]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. CoRR abs/2307.03371 (2023) - [i69]Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. CoRR abs/2307.11341 (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) - [i66]Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng:
Robust Recommender System: A Survey and Future Directions. CoRR abs/2309.02057 (2023) - [i65]Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng:
Causality and Independence Enhancement for Biased Node Classification. CoRR abs/2310.09586 (2023) - [i64]Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. CoRR abs/2310.10567 (2023) - [i63]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. CoRR abs/2311.01666 (2023) - [i62]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. CoRR abs/2311.07445 (2023) - [i61]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. CoRR abs/2311.08919 (2023) - [i60]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR abs/2311.14084 (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
- [j23]Lei Lin, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng:
On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access 10: 27255-27269 (2022) - [j22]Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
User Identity Linkage across Social Networks with the Enhancement of Knowledge Graph and Time Decay Function. Entropy 24(11): 1603 (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) - [c94]Guoxin Chen, Yongqing Wang, Jiangli Shao, Boshen Shi, Huawei Shen, Xueqi Cheng:
InDNI: An Infection Time Independent Method for Diffusion Network Inference. CCIR 2022: 63-75 - [c93]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CIKM 2022: 2290-2300 - [c92]Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng:
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. COLING 2022: 6105-6114 - [c91]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Conditional GANs with Auxiliary Discriminative Classifier. ICML 2022: 8888-8902 - [c90]Zhiwei Wang, Yan Guo, Yangyuanxiang Xu, Yuanhai Xue, Yue Liu, Huawei Shen, Xueqi Cheng:
SCIEnt: A Semantic-Feature-Based Framework for Core Information Extraction from Web Pages. ICONIP (3) 2022: 311-323 - [c89]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9 - [c88]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. IJCNN 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 - [c84]Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. SIGIR 2022: 91-101 - [c83]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. SIGIR 2022: 825-836 - [c82]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. SIGIR 2022: 837-847 - [c81]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475 - [c80]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. WWW (Companion Volume) 2022: 243-247 - [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) - [i57]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CoRR abs/2204.02725 (2022) - [i56]Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng:
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR abs/2204.08159 (2022) - [i55]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR abs/2204.11545 (2022) - [i54]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. CoRR abs/2205.15677 (2022) - [i53]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. CoRR abs/2206.13214 (2022) - [i52]Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
Learning node embeddings via summary graphs: a brief theoretical analysis. CoRR abs/2207.01189 (2022) - [i51]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Adversarial Camouflage for Node Injection Attack on Graphs. CoRR abs/2208.01819 (2022) - [i50]Jiangli Shao, Yongqing Wang, Boshen Shi, Hao Gao, Huawei Shen, Xueqi Cheng:
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage. CoRR abs/2209.00269 (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) - [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) - [i46]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. CoRR abs/2212.00229 (2022) - 2021
- [j19]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [j18]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021) - [j17]Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowl. Inf. Syst. 63(5): 1173-1196 (2021) - [j15]Siying Li, Huawei Shen, Peng Bao, Xueqi Cheng:
hu-index: a unified index to quantify individuals across disciplines. Scientometrics 126(4): 3209-3226 (2021) - [j14]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. IEEE Trans. Knowl. Data Eng. 33(3): 1264-1275 (2021) - [c79]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. AAAI 2021: 196-203 - [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 - [c76]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI 2021: 4653-4661 - [c75]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c74]Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Aligning Networks by Maximizing Topological Consistency Between Neighborhoods. Big Data (CCF) 2021: 216-232 - [c73]Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. IEEE BigData 2021: 607-613 - [c72]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CIKM 2021: 740-749 - [c71]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CIKM 2021: 1794-1803 - [c70]Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. CIKM 2021: 3413-3417 - [c69]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) 2021: 2510-2521 - [c68]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) 2021: 3615-3626 - [c65]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. ICWSM 2021: 220-229 - [c64]Junjie Huang, Huawei Shen, Xueqi Cheng:
SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. ICWSM 2021: 1091-1093 - [c63]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-Supervised GANs with Label Augmentation. NeurIPS 2021: 13019-13031 - [c62]Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. PAKDD (1) 2021: 78-90 - [c61]Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. PAKDD (2) 2021: 664-675 - [c60]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. PAKDD (2) 2021: 743-755 - [c59]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
DPGS: Degree-Preserving Graph Summarization. SDM 2021: 280-288 - [c58]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. SIGIR 2021: 408-417 - [c57]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Certifiable Robustness on Graphs. WSDM 2021: 698-706 - [i44]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. CoRR abs/2101.02390 (2021) - [i43]Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. CoRR abs/2103.10600 (2021) - [i42]Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR abs/2103.12411 (2021) - [i41]Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction. CoRR abs/2104.09119 (2021) - [i40]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. CoRR abs/2104.10353 (2021) - [i39]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-supervised GANs with Label Augmentation. CoRR abs/2106.08601 (2021) - [i38]Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
Inductive Representation Based Graph Convolution Network for Collaborative Filtering. CoRR abs/2107.05247 (2021) - [i37]Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng:
cGANs with Auxiliary Discriminative Classifier. CoRR abs/2107.10060 (2021) - [i36]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. CoRR abs/2108.06220 (2021) - [i35]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CoRR abs/2108.09638 (2021) - [i34]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CoRR abs/2108.13049 (2021) - [i33]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. CoRR abs/2109.06747 (2021) - [i32]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. CoRR abs/2109.07812 (2021) - 2020
- [j12]Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020) - [c55]Liang Hou, Huawei Shen, Xueqi Cheng:
Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI 2020: 1190-1197 - [c54]Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. ICKG 2020: 412-419 - [c53]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling Users' Multifaceted Interest Correlation for Social Recommendation. PAKDD (1) 2020: 118-129 - [c52]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. PAKDD (1) 2020: 130-141 - [c51]Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197 - [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 - [c49]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78 - [i31]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. CoRR abs/2007.09647 (2020) - [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) - [i28]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020) - [i27]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. CoRR abs/2011.13608 (2020) - [i26]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR abs/2012.02006 (2020) - [i25]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020) - 2019
- [j9]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Learning representations for quality estimation of crowdsourced submissions. Inf. Process. Manag. 56(4): 1484-1493 (2019) - [j8]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng:
Self-learning and embedding based entity alignment. Knowl. Inf. Syst. 59(2): 361-386 (2019) - [j7]Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao:
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13(6): 57:1-57:21 (2019) - [c48]Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng:
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR 2019: 135-147 - [c46]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. ICANN (Workshop) 2019: 566-577 - [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 - [c43]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c41]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
What We Vote for? Answer Selection from User Expertise View in Community Question Answering. WWW 2019: 1198-1209 - [c40]Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WWW 2019: 3335-3341 - [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) - [i20]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019) - [i19]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. CoRR abs/1906.10958 (2019) - 2018
- [j6]Chengcheng Gou, Huawei Shen, Pan Du, Dayong Wu, Yue Liu, Xueqi Cheng:
Learning sequential features for cascade outbreak prediction. Knowl. Inf. Syst. 57(3): 721-739 (2018) - [c39]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. AAAI 2018: 418-425 - [c38]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. CCIR 2018: 198-210 - [c37]Hao Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
ULE: Learning User and Location Embeddings for POI Recommendation. DSC 2018: 99-106 - [c36]Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng:
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI 2018: 3877-3883 - 2017
- [j5]Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen:
Relative influence maximization in competitive social networks. Sci. China Inf. Sci. 60(10): 108101:1-108101:3 (2017) - [j4]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017) - [c35]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. CIKM 2017: 597-606 - [c34]Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM 2017: 1149-1158 - [c33]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. CIKM 2017: 2183-2186 - [c32]Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Self-Learning and Embedding Based Entity Alignment. ICBK 2017: 33-40 - [c31]Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao:
Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI 2017: 2351-2357 - [c30]Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Cross-Domain Recommendation: An Embedding and Mapping Approach. IJCAI 2017: 2464-2470 - [c29]Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng:
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI 2017: 2985-2991 - [c28]Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng:
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. PAKDD (1) 2017: 407-420 - [c27]Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) 2017: 786-798 - [c26]Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng:
Predicting the Popularity of Online Content with Group-specific Models. WWW (Companion Volume) 2017: 765-766 - [e2]Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie:
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings. Communications in Computer and Information Science 774, Springer 2017, ISBN 978-981-10-6804-1 [contents] - [i18]Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR abs/1701.03918 (2017) - [i17]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017) - 2016
- [j3]Hao Wang, Huawei Shen, Xueqi Cheng:
Scientific credit diffusion: Researcher level or paper level? Scientometrics 109(2): 827-837 (2016) - [j2]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883 (2016) - [c25]Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng:
Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI 2016: 1823-1829 - [c24]Wei Liu, Huawei Shen, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng:
Learning Cost-Effective Social Embedding for Cascade Prediction. SMP 2016: 1-13 - [c23]Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) 2016: 33-34 - [i16]Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng:
Learning Sentimental Influences from Users' Behaviors. CoRR abs/1608.03371 (2016) - 2015
- [c22]Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Learning User-Specific Latent Influence and Susceptibility from Information Cascades. AAAI 2015: 477-484 - [c21]Tong Man, Huawei Shen, Junming Huang, Xueqi Cheng:
Context-Adaptive Matrix Factorization for Multi-Context Recommendation. CIKM 2015: 901-910 - [c20]Bing-Jie Sun, Huawei Shen, Xueqi Cheng:
Improve Network Clustering via Diversified Ranking. CSoNet 2015: 104-115 - [c19]Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. WWW (Companion Volume) 2015: 9-10 - [i15]Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. CoRR abs/1503.02754 (2015) - 2014
- [c17]Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng:
IMRank: influence maximization via finding self-consistent ranking. SIGIR 2014: 475-484 - [i13]Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng:
IMRank: Influence Maximization via Finding Self-Consistent Ranking. CoRR abs/1402.3939 (2014) - [i11]Peng Bao, Huawei Shen, Xueqi Cheng:
Prediction of "Forwarding Whom" Behavior in Information Diffusion. CoRR abs/1410.7143 (2014) - 2013
- [c16]Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng:
StaticGreedy: solving the scalability-accuracy dilemma in influence maximization. CIKM 2013: 509-518 - [c15]Shenghua Liu, Fuxin Li, Fangtao Li, Xueqi Cheng, Huawei Shen:
Adaptive co-training SVM for sentiment classification on tweets. CIKM 2013: 2079-2088 - [c14]Peng Bao, Huawei Shen, Junming Huang, Xueqi Cheng:
Popularity prediction in microblogging network: a case study on sina weibo. WWW (Companion Volume) 2013: 177-178 - [i10]Peng Bao, Huawei Shen, Junming Huang, Xueqi Cheng:
Popularity Prediction in Microblogging Network: A Case Study on Sina Weibo. CoRR abs/1304.4324 (2013) - [i9]Peng Bao, Huawei Shen, Wei Chen, Xueqi Cheng:
Cumulative Effect in Information Diffusion: A Comprehensive Empirical Study on Microblogging Network. CoRR abs/1306.0196 (2013) - [i8]Yongqing Wang, Huawei Shen, Xueqi Cheng:
Learning influence and susceptibility from information cascade. CoRR abs/1310.3911 (2013) - [i7]Junming Huang, Chao Li, Wen-Qiang Wang, Huawei Shen, Xueqi Cheng:
Temporal scaling in information propagations. CoRR abs/1311.4336 (2013) - 2012
- [j1]Huawei Shen, Xueqi Cheng, Yuanzhuo Wang, Yixin Chen:
A Dimensionality Reduction Framework for Detection of Multiscale Structure in Heterogeneous Networks. J. Comput. Sci. Technol. 27(2): 341-357 (2012) - [c13]Jianye Yu, Yuanzhuo Wang, Jingyuan Li, Huawei Shen, Xueqi Cheng:
Analysis of Competitive Information Dissemination in Social Network Based on Evolutionary Game Model. CGC 2012: 748-753 - [c12]Tong Man, Huawei Shen, Xueqi Cheng:
The Untold Story Behind the Recommendation in Micro-blogging Network. CGC 2012: 760-764 - [c11]Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng:
Finding Topic-Related Tweets Using Conversational Thread. Intelligent Information Processing 2012: 258-267 - [c10]Junming Huang, Xueqi Cheng, Huawei Shen, Tao Zhou, Xiaolong Jin:
Exploring social influence via posterior effect of word-of-mouth recommendations. WSDM 2012: 573-582 - [i6]Junming Huang, Xueqi Cheng, Huawei Shen, Xiaoming Sun, Tao Zhou, Xiaolong Jin:
Conquering the rating bound problem in neighborhood-based collaborative filtering: a function recovery approach. CoRR abs/1209.0911 (2012) - [i5]Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng:
Static greedy: solving the apparent scalability-accuracy dilemma in influence maximization. CoRR abs/1212.4779 (2012) - 2011
- [c9]Tieying Zhang, Zhenhua Li, Huawei Shen, Yan Huang, Xueqi Cheng:
A White-Box Empirical Study of P2P-VoD Systems: Several Unconventional New Findings. ICCCN 2011: 1-6 - [c8]Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen:
Multi-Select Faceted Navigation Based on Minimum Description Length Principle. IJCAI 2011: 1690-1696 - [c7]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen:
A unified framework for recommending diverse and relevant queries. WWW 2011: 37-46 - [i4]Fuxin Ren, Xueqi Cheng, Huawei Shen:
Modeling the clustering in citation networks. CoRR abs/1104.4209 (2011) - [i3]Huawei Shen, Xueqi Cheng, Jiafeng Guo:
Exploring the structural regularities in networks. CoRR abs/1110.1976 (2011) - 2010
- [c6]Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen:
A structured approach to query recommendation with social annotation data. CIKM 2010: 619-628 - [c5]Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang:
Social Recommendation with Interpersonal Influence. ECAI 2010: 601-606 - [i2]Huawei Shen, Xueqi Cheng:
Spectral methods for the detection of network community structure: a comparative analysis. CoRR abs/1010.4098 (2010) - 2009
- [c4]Haijun Zhai, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen, Jin Zhang:
Query Classification Based on Regularized Correlated Topic Model. Web Intelligence 2009: 552-555 - 2008
- [c3]Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi Cheng:
Research on Enterprise Track of TREC 2008. TREC 2008 - [i1]Huawei Shen, Xueqi Cheng, Kai Cai, Mao-Bin Hu:
Detect overlapping and hierarchical community structure in networks. CoRR abs/0810.3093 (2008) - 2007
- [c2]Huawei Shen, Guoyao Chen, Haiqiang Chen, Yue Liu, Xueqi Cheng:
Research on Enterprise Track of TREC 2007. TREC 2007 - 2006
- [c1]Haiqiang Chen, Huawei Shen, Jin Xiong, Songbo Tan, Xueqi Cheng:
Social Network Structure Behind the Mailing Lists: ICT-IIIS at TREC 2006 Expert Finding Track. TREC 2006
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