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2020 – today
- 2024
[j35]Xue Dong
, Xuemeng Song, Minghui Tian, Linmei Hu:
Prompt-based and weak-modality enhanced multimodal recommendation. Inf. Fusion 101: 101989 (2024)- [j34]Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. ACM Trans. Inf. Syst. 42(1): 25:1-25:24 (2024) - 2023
- [j33]Liqiang Jing, Yiren Li, Junhao Xu, Yongcan Yu, Pei Shen, Xuemeng Song:
Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization. Mach. Intell. Res. 20(2): 289-298 (2023) - [j32]Weili Guan, Xuemeng Song, Kejie Wang, Haokun Wen, Hongda Ni, Yaowei Wang, Xiaojun Chang:
Egocentric Early Action Prediction via Multimodal Transformer-Based Dual Action Prediction. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4472-4483 (2023) - [j31]Dan Shi, Lei Zhu, Xiao Dong, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection. ACM Trans. Knowl. Discov. Data 17(8): 116:1-116:25 (2023) - [j30]Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao:
ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity. IEEE Trans. Knowl. Data Eng. 35(9): 9140-9153 (2023) - [j29]Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie:
MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10072-10084 (2023) - [j28]Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng, Liqiang Nie:
Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets. IEEE Trans. Knowl. Data Eng. 35(12): 12605-12617 (2023) - [j27]Xuemeng Song, Shi-Ting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao, Liqiang Nie:
Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling. IEEE Trans. Multim. 25: 856-867 (2023) - [j26]Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie:
DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023) - [j25]Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu, Liqiang Nie:
DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation. IEEE Trans. Multim. 25: 5319-5329 (2023) - [j24]Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao:
Dual Preference Distribution Learning for Item Recommendation. ACM Trans. Inf. Syst. 41(3): 56:1-56:22 (2023) - [j23]Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie:
Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 59:1-59:21 (2023) - [c46]Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie:
Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. AAAI 2023: 9507-9515 - [c45]Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie:
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. ACL (1) 2023: 11349-11361 - [c44]Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie:
Target-Guided Composed Image Retrieval. ACM Multimedia 2023: 915-923 - [c43]Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie:
Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. SIGIR 2023: 195-204 - [c42]Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. SIGIR 2023: 1518-1527 - [c41]Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. SIGIR 2023: 3410-3414 - [i18]Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie:
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. CoRR abs/2304.12608 (2023) - [i17]Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie:
Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain. CoRR abs/2305.03256 (2023) - [i16]Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie:
Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval. CoRR abs/2305.09979 (2023) - [i15]Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR abs/2305.09990 (2023) - [i14]Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie:
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. CoRR abs/2306.16650 (2023) - [i13]Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie:
Target-Guided Composed Image Retrieval. CoRR abs/2309.01366 (2023) - 2022
- [j22]Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie:
Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8611-8622 (2022) - [j21]Weili Guan, Haokun Wen, Xuemeng Song, Chun Wang, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Partially Supervised Compatibility Modeling. IEEE Trans. Image Process. 31: 4733-4745 (2022) - [j20]Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie:
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 52:1-52:20 (2022) - [j19]Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 93:1-93:18 (2022) - [c40]Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. ACL (Findings) 2022: 3496-3509 - [c39]Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CVPR 2022: 19405-19414 - [c38]Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie:
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. ACM Multimedia 2022: 15-23 - [c37]Weili Guan, Xuemeng Song, Haoyu Zhang, Meng Liu, Chung-Hsing Yeh, Xiaojun Chang:
Bi-directional Heterogeneous Graph Hashing towards Efficient Outfit Recommendation. ACM Multimedia 2022: 268-276 - [c36]Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. ACM Multimedia 2022: 7416-7417 - [c35]Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang:
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. SIGIR 2022: 482-491 - [c34]Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie:
V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. SIGIR 2022: 992-1001 - [i12]Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao, Hongjun Dai:
Dual Preference Distribution Learning for Item Recommendation. CoRR abs/2201.09490 (2022) - [i11]Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie:
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. CoRR abs/2203.00357 (2022) - [i10]Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie:
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CoRR abs/2203.09811 (2022) - [i9]Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie:
Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. CoRR abs/2207.07934 (2022) - [i8]Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie:
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. CoRR abs/2207.11652 (2022) - [i7]Linmei Hu, Ziwang Zhao, Xinkai Ge, Xuemeng Song, Liqiang Nie:
MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. CoRR abs/2212.05699 (2022) - 2021
- [j18]Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie:
PaintNet: A shape-constrained generative framework for generating clothing from fashion model. Multim. Tools Appl. 80(11): 17183-17203 (2021) - [j17]Weili Guan, Xuemeng Song, Tian Gan, Junyu Lin, Xiaojun Chang, Liqiang Nie:
Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Trans. Cybern. 51(9): 4501-4514 (2021) - [j16]Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie:
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. IEEE Trans. Image Process. 30: 8265-8277 (2021) - [j15]Xiaolin Chen, Xuemeng Song, Siwei Cui, Tian Gan, Zhiyong Cheng, Liqiang Nie:
User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling. IEEE Trans. Multim. 23: 3957-3967 (2021) - [j14]Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 33:1-33:19 (2021) - [j13]Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie:
Attribute-wise Explainable Fashion Compatibility Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 36:1-36:21 (2021) - [c33]Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie:
Collocation and Try-on Network: Whether an Outfit is Compatible. ACM Multimedia 2021: 309-317 - [c32]Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie:
Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. ACM Multimedia 2021: 2299-2307 - [c31]Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie:
Complementary Factorization towards Outfit Compatibility Modeling. ACM Multimedia 2021: 4073-4081 - [c30]Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. MMAsia 2021: 15:1-15:7 - [c29]Federico Becattini, Xuemeng Song, Claudio Baecchi, Shi-Ting Fang, Claudio Ferrari, Liqiang Nie, Alberto Del Bimbo:
PLM-IPE: A Pixel-Landmark Mutual Enhanced Framework for Implicit Preference Estimation. MMAsia 2021: 42:1-42:5 - [c28]Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu:
Multimodal Activation: Awakening Dialog Robots without Wake Words. SIGIR 2021: 491-500 - [c27]Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie:
Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. SIGIR 2021: 1084-1093 - [c26]Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie:
Comprehensive Linguistic-Visual Composition Network for Image Retrieval. SIGIR 2021: 1369-1378 - [i6]Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. CoRR abs/2102.01916 (2021) - [i5]Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie:
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. CoRR abs/2110.06058 (2021) - [i4]Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie:
Hierarchical Deep Residual Reasoning for Temporal Moment Localization. CoRR abs/2111.00417 (2021) - 2020
- [j12]Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma:
MGCM: Multi-modal generative compatibility modeling for clothing matching. Neurocomputing 414: 215-224 (2020) - [j11]Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu, Liqiang Nie:
Neural Compatibility Modeling With Probabilistic Knowledge Distillation. IEEE Trans. Image Process. 29: 871-882 (2020) - [j10]Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang:
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. ACM Trans. Inf. Syst. 38(2): 20:1-20:23 (2020) - [j9]Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, Liqiang Nie:
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning. ACM Trans. Inf. Syst. 38(4): 37:1-37:26 (2020) - [j8]Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, Jun Ma:
An End-to-End Attention-Based Neural Model for Complementary Clothing Matching. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 114:1-114:16 (2020) - [c25]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c24]Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie:
Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. SIGIR 2020: 771-780 - [c23]Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie:
Generative Attribute Manipulation Scheme for Flexible Fashion Search. SIGIR 2020: 941-950 - [i3]Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie:
Market2Dish: Health-aware Food Recommendation. CoRR abs/2012.06416 (2020)
2010 – 2019
- 2019
- [b3]Liqiang Nie, Meng Liu, Xuemeng Song:
Multimodal Learning toward Micro-Video Understanding. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01127-6 - [b2]Xuemeng Song, Liqiang Nie, Yinglong Wang:
Compatibility Modeling: Data and Knowledge Applications for Clothing Matching. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01193-1 - [j7]Jinhuan Liu, Xuemeng Song, Zhumin Chen, Jun Ma:
Neural fashion experts: I know how to make the complementary clothing matching. Neurocomputing 359: 249-263 (2019) - [j6]Xu Lu, Lei Zhu, Zhiyong Cheng, Xuemeng Song, Huaxiang Zhang:
Efficient discrete latent semantic hashing for scalable cross-modal retrieval. Signal Process. 154: 217-231 (2019) - [c22]Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie:
Virtually Trying on New Clothing with Arbitrary Poses. ACM Multimedia 2019: 266-274 - [c21]Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie:
Personalized Capsule Wardrobe Creation with Garment and User Modeling. ACM Multimedia 2019: 302-310 - [c20]Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu, Liqiang Nie:
GP-BPR: Personalized Compatibility Modeling for Clothing Matching. ACM Multimedia 2019: 320-328 - [c19]Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie:
Seeking Micro-influencers for Brand Promotion. ACM Multimedia 2019: 1933-1941 - [c18]Tian Gan, Zhixin Ma, Yuxiao Lu, Xuemeng Song, Liqiang Nie:
Learn to Gesture: Let Your Body Speak. MMAsia 2019: 33:1-33:6 - [c17]Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454 - [c16]Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734 - [c15]Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie:
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. SIGIR 2019: 785-794 - [i2]Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. CoRR abs/1904.11228 (2019) - 2018
- [j5]Shuhan Qi, Xuan Wang, Xi Zhang, Xuemeng Song, Zoe Lin Jiang:
Scalable graph based non-negative multi-view embedding for image ranking. Neurocomputing 274: 29-36 (2018) - [j4]Xiao Jin, Yuting Su, Liang Zou, Chengqian Zhang, Peiguang Jing, Xuemeng Song:
Video logo removal detection based on sparse representation. Multim. Tools Appl. 77(22): 29303-29322 (2018) - [c14]Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. IJCAI 2018: 2064-2070 - [c13]Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu:
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. IJCAI 2018: 2518-2524 - [c12]Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli:
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. IJCAI 2018: 3748-3754 - [c11]Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. MMM (2) 2018: 327-339 - [c10]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. SIGIR 2018: 5-14 - [c9]Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu:
A Personal Privacy Preserving Framework: I Let You Know Who Can See What. SIGIR 2018: 295-304 - [i1]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. CoRR abs/1805.00313 (2018) - 2017
- [j3]Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li:
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1508-1519 (2017) - [j2]Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua:
Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. 36(1): 4:1-4:26 (2017) - [c8]Zekun Li, Xuemeng Song, Tian Gan, Zhumin Chen, Xiaoyu Zhu:
Clothing Matching Based on Multi-modal Data. ICIMCS 2017: 65-74 - [c7]Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma:
NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM Multimedia 2017: 753-761 - [c6]Xiaoyu Zhu, Tian Gan, Xuemeng Song, Zhumin Chen:
Sentiment Analysis for Social Sensor. PCM (1) 2017: 893-902 - 2016
- [b1]Liqiang Nie, Xuemeng Song, Tat-Seng Chua:
Learning from Multiple Social Networks. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01172-6 - [j1]Xuemeng Song, Zhaoyan Ming, Liqiang Nie, Yi-Liang Zhao, Tat-Seng Chua:
Volunteerism Tendency Prediction via Harvesting Multiple Social Networks. ACM Trans. Inf. Syst. 34(2): 10:1-10:27 (2016) - [c5]Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum:
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. AAAI 2016: 165-171 - [c4]Jingyuan Chen, Xuemeng Song, Liqiang Nie, Xiang Wang, Hanwang Zhang, Tat-Seng Chua:
Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model. ACM Multimedia 2016: 898-907 - 2015
- [c3]Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua:
Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. IJCAI 2015: 2371-2377 - [c2]Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua:
Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. SIGIR 2015: 213-222 - 2014
- [c1]Xuemeng Song:
Enrichment of user profiles across multiple online social networks for volunteerism matching for social enterprise. SIGIR 2014: 1282
Coauthor Index
[j34] [j29] [j28] [j27] [j26] [j25] [j23] [c46] [c45] [c44] [c43] [c42] [c41] [i18] [i17] [i16] [i15] [i14] [i13] [j22] [j21] [j20] [j19] [c40] [c39] [c38] [c34] [i11] [i10] [i9] [i8] [i7] [j18] [j17] [j16] [j15] [j14] [j13] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i6] [i5] [i4] [j11] [j10] [j9] [j8] [c25] [c24] [c23] [i3] [b3] [b2] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c11] [c10] [c9] [i1] [j3] [j2] [c7] [b1] [j1] [c5] [c4] [c3] [c2]