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2020 – today
- 2023
[j79]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)- [j78]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) - [j77]Wenjie Feng
, Shenghua Liu, Xueqi Cheng:
Hierarchical Dense Pattern Detection in Tensors. ACM Trans. Knowl. Discov. Data 17(6): 81:1-81:29 (2023) - [j76]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 672-685 (2023) - [j75]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) - [j74]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41(2): 29:1-29:36 (2023) - [c397]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 - [c396]Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng:
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. EACL 2023: 328-339 - [c395]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. WWW 2023: 274-285 - [i149]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) - [i148]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) - [i147]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. CoRR abs/2301.13606 (2023) - [i146]Wendong Bi, Bingbing Xu, Xiaoqian Sun, Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. CoRR abs/2302.00873 (2023) - [i145]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) - [i144]Shuchang Tao, Huawei Shen, Qi Cao, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. CoRR abs/2302.08051 (2023) - [i143]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) - [i142]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. CoRR abs/2304.14856 (2023) - [i141]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023) - [i140]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: from State to Transformation. CoRR abs/2305.01668 (2023) - [i139]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Transformation Telling. CoRR abs/2305.01928 (2023) - [i138]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) - [i137]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on N-ary Facts. CoRR abs/2305.06104 (2023) - [i136]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) - [i135]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) - [i134]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) - [i133]Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. CoRR abs/2305.12792 (2023) - [i132]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (2023) - [i131]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR abs/2305.15115 (2023) - [i130]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) - [i129]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) - 2022
- [j73]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) - [j72]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) - [j71]Yinghan Shen, Xuhui Jiang, Zijian Li, Yuanzhuo Wang, Xiaolong Jin, Shengjie Ma, Xueqi Cheng:
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups. Knowl. Inf. Syst. 64(10): 2771-2795 (2022) - [j70]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) - [j69]Manling Li, Yuanzhuo Wang, Denghui Zhang, Yantao Jia, Xueqi Cheng:
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. IEEE Trans. Big Data 8(3): 630-643 (2022) - [j68]Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng:
A Review on Question Generation from Natural Language Text. ACM Trans. Inf. Syst. 40(1): 14:1-14:43 (2022) - [j67]Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-Stage Retrieval: A Comprehensive Review. ACM Trans. Inf. Syst. 40(4): 66:1-66:42 (2022) - [c394]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL (2) 2022: 290-296 - [c393]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 - [c392]Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CIKM 2022: 118-127 - [c391]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CIKM 2022: 191-200 - [c390]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CIKM 2022: 1471-1480 - [c389]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CIKM 2022: 2128-2137 - [c388]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 - [c387]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Discriminative Language Model via Self-Teaching for Dense Retrieval. CIKM 2022: 3858-3862 - [c386]Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. CIKM 2022: 4314-4318 - [c385]Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. COLING 2022: 2065-2074 - [c384]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 - [c383]Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng:
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. CVPR 2022: 70-79 - [c382]Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. EMNLP (Findings) 2022: 2403-2415 - [c381]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. EMNLP (Findings) 2022: 6266-6275 - [c380]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2022: 7328-7338 - [c379]Liang Hou, Qi Cao, Huawei Shen, Siyuan Pan, Xiaoshuang Li, Xueqi Cheng:
Conditional GANs with Auxiliary Discriminative Classifier. ICML 2022: 8888-8902 - [c378]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 - [c377]Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo:
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. IJCAI 2022: 4404-4410 - [c376]Keting Cen, Huawei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Towards Powerful Graph Contrastive Learning without Negative Examples. IJCNN 2022: 1-9 - [c375]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. IJCNN 2022: 1-8 - [c374]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 - [c373]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 - [c372]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 - [c371]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 - [c370]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. SIGIR 2022: 837-847 - [c369]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. SIGIR 2022: 848-858 - [c368]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. SIGIR 2022: 2184-2189 - [c367]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475 - [c366]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM 2022: 976-986 - [c365]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 - [i128]Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng:
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR abs/2201.10051 (2022) - [i127]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2203.07782 (2022) - [i126]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022) - [i125]Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. CoRR abs/2204.01321 (2022) - [i124]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) - [i123]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. CoRR abs/2204.05511 (2022) - [i122]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) - [i121]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. CoRR abs/2204.10641 (2022) - [i120]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) - [i119]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) - [i118]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. CoRR abs/2206.13214 (2022) - [i117]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) - [i116]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) - [i115]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CoRR abs/2208.07652 (2022) - [i114]Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. CoRR abs/2208.09846 (2022) - [i113]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CoRR abs/2208.09847 (2022) - [i112]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) - [i111]Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CoRR abs/2209.05072 (2022) - [i110]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CoRR abs/2209.06691 (2022) - [i109]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. CoRR abs/2210.09708 (2022) - [i108]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) - [i107]Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
LegoNet: A Fast and Exact Unlearning Architecture. CoRR abs/2210.16023 (2022) - [i106]Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. CoRR abs/2211.04872 (2022) - [i105]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) - [i104]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. CoRR abs/2212.00229 (2022) - [i103]Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. CoRR abs/2212.08287 (2022) - 2021
- [j66]Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Att-FPA: Boosting Feature Perceive for Object Detection. IEEE Access 9: 47380-47390 (2021) - [j65]Qiaoling Zhong, Zhibin Zhang, Qiang Qiu, Xueqi Cheng:
Roulette: A Pruning Framework to Train a Sparse Neural Network From Scratch. IEEE Access 9: 51134-51145 (2021) - [j64]Jingwei Liu, Yi Gu, Shumin Han, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Feature Rescaling and Fusion for Tiny Object Detection. IEEE Access 9: 62946-62955 (2021) - [j63]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j62]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) - [j61]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021) - [j60]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) - [j59]Siying Li, Huawei Shen, Peng Bao, Xueqi Cheng:
hu-index: a unified index to quantify individuals across disciplines. Scientometrics 126(4): 3209-3226 (2021) - [j58]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) - [c364]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. AAAI 2021: 196-203 - [c363]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. AAAI 2021: 4453-4461 - [c362]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 - [c361]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 - [c360]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c359]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. AAAI 2021: 12955-12962 - [c358]Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. ACL/IJCNLP (1) 2021: 4732-4743 - [c357]Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Aligning Networks by Maximizing Topological Consistency Between Neighborhoods. Big Data (CCF) 2021: 216-232 - [c356]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 - [c355]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. CIKM 2021: 181-190 - [c354]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CIKM 2021: 740-749 - [c353]Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CIKM 2021: 1396-1405 - [c352]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CIKM 2021: 1794-1803 - [c351]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 - [c350]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CVPR 2021: 6903-6912 - [c349]