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Qiang Liu 0006
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
Other persons with the same name
- Qiang Liu — disambiguation page
- Qiang Liu 0001 — University of Texas at Austin, Department of Computer Science, TX, USA (and 2 more)
- Qiang Liu 0002 — Linköping University, Swedish e-Science Research Centre, Sweden
- Qiang Liu 0003 — University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK
- Qiang Liu 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Qiang Liu 0005 — Delft University of Technology, The Netherlands (and 1 more)
- Qiang Liu 0007 — Oak Ridge National Laboratory, Computer Science and Mathematics Division, TN, USA (and 1 more)
- Qiang Liu 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 1 more)
- Qiang Liu 0009 — Joint Center for Global Change Studies, Beijing, China (and 2 more)
- Qiang Liu 0010 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China (and 1 more)
- Qiang Liu 0011 — Tianjin University, School of Microelectronics, China (and 1 more)
- Qiang Liu 0012 — Huaihai Institute of Technology, School of Electric Engineering, Lianyungang, China
- Qiang Liu 0013 — University of Nebraska-Lincoln, NE, USA (and 1 more)
- Qiang Liu 0014 — Beijing Jiaotong University, School of Computer and Information Technology, China
- Qiang Liu 0015 — Chinese University of Hong Kong
- Qiang Liu 0016 — University of Electronic Science and Technology of China, School of Communication and Information Engineering, Chengdu, China
- Qiang Liu 0017 — Hunan University, College of Electrical and Information Engineering, Changsha, China (and 1 more)
- Qiang Liu 0018 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Qiang Liu 0019 — University of Manchester, School of Engineering, UK
- Qiang Liu 0020 — Beijing Jiaotong University, Beijing Key Laboratory of Transportation Data Analysis and Mining, China
- Qiang Liu 0021 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Qiang Liu 0022 — University of Antwerp, Department of Biology, Belgium (and 1 more)
- Qiang Liu 0023 — Dalian University of Technology, School of Mechanical Engineering, China
- Qiang Liu 0024 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Qiang Liu 0025 — Shenzhen University, School of Mathematics and Statistics, China (and 1 more)
- Qiang Liu 0026 — Shandong University of Finance and Economics, Department of Network and Information Security, Jinan, China (and 1 more)
- Qiang Liu 0027 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Qiang Liu 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Qiang Liu 0029 — Beijing Institute of Petrochemical Technology, Institute of Precision Electromagnetic Equipment and Advanced Measurement Technology, China (and 1 more)
- Qiang Liu 0030 — Beijing University of Posts and Telecommunications, School of Information and Communication, China
- Qiang Liu 0031 — Guangdong University of Technology, Guangzhou, China
- Qiang Liu 0032 — Hunan University of Technology, College of Computer Science, Intelligent Information Perception and Processing Technology Hunan Province Key Laboratory, Zhuzhou, China
- Qiang Liu 0033 — University of Pittsburgh, Department of Neurological Surgery, PA, USA
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2020 – today
- 2024
- [j11]Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang:
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36(4): 1773-1784 (2024) - [i44]Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang:
Can Large Language Models Detect Rumors on Social Media? CoRR abs/2402.03916 (2024) - 2023
- [j10]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu:
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining. ACM Trans. Intell. Syst. Technol. 14(5): 82:1-82:21 (2023) - [j9]Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4741-4753 (2023) - [j8]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. 35(7): 7427-7439 (2023) - [j7]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9154-9167 (2023) - [c40]Zewen Long, Liang Wang, Qiang Liu, Shu Wu:
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM 2023: 4145-4149 - [c39]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD 2023: 1595-1607 - [c38]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR 2023: 443-452 - [c37]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW 2023: 2412-2422 - [i43]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. CoRR abs/2302.00893 (2023) - [i42]Wenbo Hu, Xin Sun, Qiang Liu, Shu Wu:
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation. CoRR abs/2303.12973 (2023) - [i41]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR abs/2306.14179 (2023) - [i40]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR abs/2309.07947 (2023) - [i39]Yuting Liu, Enneng Yang, Yizhou Dang, Guibing Guo, Qiang Liu, Yuliang Liang, Linying Jiang, Xingwei Wang:
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation. CoRR abs/2311.05956 (2023) - 2022
- [c36]Chenyang Su, Qiang Liu, Liang Wang:
Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation. CCIS 2022: 696-701 - [c35]Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan:
Second-Order Global Attention Networks for Graph Classification and Regression. CICAI (2) 2022: 496-507 - [c34]Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. CIKM 2022: 4692-4696 - [c33]Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang:
Multi-Cause Learning for Diagnosis Prediction. DMBD (1) 2022: 320-332 - [c32]Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiao-Yu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. EMNLP 2022: 7230-7240 - [c31]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. ICDM 2022: 1059-1064 - [c30]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. ICDM 2022: 1077-1082 - [c29]Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI 2022: 2080-2086 - [c28]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. LoG 2022: 47 - [c27]Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo:
Bi-directional Contrastive Distillation for Multi-behavior Recommendation. ECML/PKDD (1) 2022: 491-507 - [c26]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Enhanced Heterogeneous Graph Contrastive Learning. SDM 2022: 82-90 - [c25]Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu:
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR 2022: 2308-2313 - [c24]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Evidence-aware Fake News Detection with Graph Neural Networks. WWW 2022: 2501-2510 - [i38]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. CoRR abs/2201.06885 (2022) - [i37]Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu:
A Survey on Deep Graph Generation: Methods and Applications. CoRR abs/2203.06714 (2022) - [i36]Yi Guo, Zhaocheng Liu, Jianchao Tan, Chao Liao, Daqing Chang, Qiang Liu, Sen Yang, Ji Liu, Dongying Kong, Zhi Chen, Chengru Song:
LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction. CoRR abs/2206.00267 (2022) - [i35]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR abs/2206.00568 (2022) - [i34]Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen:
Improving Multi-Interest Network with Stable Learning. CoRR abs/2207.07910 (2022) - [i33]Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. CoRR abs/2209.01321 (2022) - [i32]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Improving Molecular Pretraining with Complementary Featurizations. CoRR abs/2209.15101 (2022) - [i31]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR abs/2210.05498 (2022) - [i30]Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu:
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection. CoRR abs/2210.12384 (2022) - 2021
- [j6]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12(2): 20:1-20:20 (2021) - [c23]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplifying Graph Convolutional Networks as Matrix Factorization. APWeb/WAIM (1) 2021: 35-43 - [c22]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
Mining Cross Features for Financial Credit Risk Assessment. CIKM 2021: 1069-1078 - [c21]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CIKM 2021: 3263-3267 - [c20]Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CIKM 2021: 3553-3557 - [c19]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CIKM 2021: 3573-3577 - [c18]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia 2021: 3872-3880 - [c17]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. NeurIPS Datasets and Benchmarks 2021 - [c16]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. WWW 2021: 2069-2080 - [c15]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW 2021: 2177-2185 - [i29]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR abs/2101.03654 (2021) - [i28]Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR abs/2102.04095 (2021) - [i27]Qiang Liu, Zhaocheng Liu, Haoli Zhang, Yuntian Chen, Jun Zhu:
DNN2LR: Automatic Feature Crossing for Credit Scoring. CoRR abs/2102.12036 (2021) - [i26]Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR abs/2103.03036 (2021) - [i25]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. CoRR abs/2104.02962 (2021) - [i24]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. CoRR abs/2104.09036 (2021) - [i23]Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR abs/2106.01078 (2021) - [i22]Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang:
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR abs/2106.11927 (2021) - [i21]Qiang Liu, Yanqiao Zhu, Zhaocheng Liu, Yufeng Zhang, Shu Wu:
Deep Active Learning for Text Classification with Diverse Interpretations. CoRR abs/2108.10687 (2021) - [i20]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021) - [i19]Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu:
An Empirical Study of Graph Contrastive Learning. CoRR abs/2109.01116 (2021) - [i18]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CoRR abs/2110.07181 (2021) - [i17]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021) - 2020
- [j5]Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang:
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 32(2): 317-331 (2020) - [c14]Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang:
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM 2020: 2285-2288 - [c13]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. SIGIR 2020: 1885-1888 - [c12]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 1921-1924 - [i16]Qiang Liu, Zhaocheng Liu, Haoli Zhang:
An Empirical Study on Feature Discretization. CoRR abs/2004.12602 (2020) - [i15]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR abs/2005.02844 (2020) - [i14]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Contrastive Representation Learning. CoRR abs/2006.04131 (2020) - [i13]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. CoRR abs/2006.15939 (2020) - [i12]Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective. CoRR abs/2007.09036 (2020) - [i11]Qiang Liu, Zhaocheng Liu, Xiaofang Zhu, Yeliang Xiu, Jun Zhu:
Deep Active Learning by Model Interpretability. CoRR abs/2007.12100 (2020) - [i10]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. CoRR abs/2008.07178 (2020) - [i9]Zhaocheng Liu, Qiang Liu, Haoli Zhang, Yuntian Chen:
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data. CoRR abs/2008.09775 (2020) - [i8]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. CoRR abs/2010.14945 (2020) - [i7]Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Active Graph Representation Learning. CoRR abs/2010.16091 (2020)
2010 – 2019
- 2019
- [j4]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. Comput. Secur. 83: 106-121 (2019) - [c11]Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu:
Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. CIKM 2019: 1703-1712 - [i6]Qiang Liu, Shu Wu, Liang Wang:
Learning Preferences and Demands in Visual Recommendation. CoRR abs/1911.04229 (2019) - 2018
- [j3]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. ACM Trans. Intell. Syst. Technol. 9(5): 50:1-50:20 (2018) - 2017
- [b1]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Context-Aware Collaborative Prediction. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5372-6, pp. 1-69 - [j2]Qiang Liu, Shu Wu, Liang Wang:
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. IEEE Trans. Knowl. Data Eng. 29(6): 1254-1267 (2017) - [c10]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Convolutional Approach for Misinformation Identification. IJCAI 2017: 3901-3907 - [c9]Qiang Liu, Shu Wu, Liang Wang:
DeepStyle: Learning User Preferences for Visual Recommendation. SIGIR 2017: 841-844 - [i5]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. CoRR abs/1706.06314 (2017) - 2016
- [j1]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Contextual Operation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 28(8): 2000-2012 (2016) - [c8]Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI 2016: 194-200 - [c7]Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan:
SAPE: A System for Situation-Aware Public Security Evaluation. AAAI 2016: 4401-4402 - [c6]Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan:
Information Credibility Evaluation on Social Media. AAAI 2016: 4403-4404 - [c5]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-Aware Sequential Recommendation. ICDM 2016: 1053-1058 - [c4]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Dynamic Recurrent Model for Next Basket Recommendation. SIGIR 2016: 729-732 - [i4]Qiang Liu, Shu Wu, Liang Wang:
Multi-behavioral Sequential Prediction for Collaborative Filtering. CoRR abs/1608.07102 (2016) - [i3]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-aware Sequential Recommendation. CoRR abs/1609.05787 (2016) - [i2]Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan:
ICE: Information Credibility Evaluation on Social Media via Representation Learning. CoRR abs/1609.09226 (2016) - [i1]Qiang Cui, Shu Wu, Qiang Liu, Liang Wang:
A Visual and Textual Recurrent Neural Network for Sequential Prediction. CoRR abs/1611.06668 (2016) - 2015
- [c3]Qiang Liu, Shu Wu, Liang Wang:
COT: Contextual Operating Tensor for Context-Aware Recommender Systems. AAAI 2015: 203-209 - [c2]Qiang Liu, Shu Wu, Liang Wang:
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. CIKM 2015: 613-622 - [c1]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
A Convolutional Click Prediction Model. CIKM 2015: 1743-1746
Coauthor Index
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last updated on 2024-03-19 02:14 CET by the dblp team
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