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- 2020
[j70]Yinwei Wei
, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen:
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Processing 29: 1-14 (2020)- [j69]Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu, Liqiang Nie:
Neural Compatibility Modeling With Probabilistic Knowledge Distillation. IEEE Trans. Image Processing 29: 871-882 (2020) - [j68]Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie:
Scalable Deep Hashing for Large-Scale Social Image Retrieval. IEEE Trans. Image Processing 29: 1271-1284 (2020)
2010 – today
- 2019
- [j67]Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie:
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. Neurocomputing 362: 166-174 (2019) - [j66]Muwei Jian, Chaoran Cui, Xiushan Nie, Huaxiang Zhang, Liqiang Nie, Yilong Yin:
Multi-view face hallucination using SVD and a mapping model. Inf. Sci. 488: 181-189 (2019) - [j65]Jin Yuan, Xingxing Hou, Yaoqiang Xiao, Da Cao, Weili Guan, Liqiang Nie:
Multi-criteria active deep learning for image classification. Knowl.-Based Syst. 172: 86-94 (2019) - [j64]Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie:
Low-rank regularized tensor discriminant representation for image set classification. Signal Processing 156: 62-70 (2019) - [j63]Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu, Jing Liu, Meng Wang:
A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. IEEE Trans. Circuits Syst. Video Techn. 29(5): 1296-1309 (2019) - [j62]Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen:
Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. IEEE Trans. Image Processing 28(3): 1235-1247 (2019) - [j61]Xin Luo, Peng-Fei Zhang, Zi Huang, Liqiang Nie, Xin-Shun Xu:
Discrete Hashing With Multiple Supervision. IEEE Trans. Image Processing 28(6): 2962-2975 (2019) - [j60]Chaoran Cui, Huihui Liu, Tao Lian, Liqiang Nie, Lei Zhu, Yilong Yin:
Distribution-Oriented Aesthetics Assessment With Semantic-Aware Hybrid Network. IEEE Trans. Multimedia 21(5): 1209-1220 (2019) - [j59]Chuan-Xiang Li, Ting-Kun Yan, Xin Luo, Liqiang Nie, Xin-Shun Xu:
Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval. IEEE Trans. Multimedia 21(11): 2863-2877 (2019) - [j58]Heyan Huang, Xiaochi Wei, Liqiang Nie, Xianling Mao, Xin-Shun Xu:
From Question to Text: Question-Oriented Feature Attention for Answer Selection. ACM Trans. Inf. Syst. 37(1): 6:1-6:33 (2019) - [j57]Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM Trans. Inf. Syst. 37(2): 19:1-19:27 (2019) - [c82]Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. AAAI 2019: 6359-6366 - [c81]Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie:
Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. CIKM 2019: 509-518 - [c80]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 - [c79]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 - [c78]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 - [c77]Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian:
Multimodal Dialog System: Generating Responses via Adaptive Decoders. ACM Multimedia 2019: 1098-1106 - [c76]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua:
MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia 2019: 1437-1445 - [c75]Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. ACM Multimedia 2019: 1446-1454 - [c74]Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu, Liqiang Nie:
Routing Micro-videos via A Temporal Graph-guided Recommendation System. ACM Multimedia 2019: 1464-1472 - [c73]Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. ACM Multimedia 2019: 1526-1534 - [c72]Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian:
Video-Based Cross-Modal Recipe Retrieval. ACM Multimedia 2019: 1685-1693 - [c71]Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun Xu:
A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. ACM Multimedia 2019: 1694-1702 - [c70]Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie:
Seeking Micro-influencers for Brand Promotion. ACM Multimedia 2019: 1933-1941 - [c69]Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu:
Market2Dish: A Health-aware Food Recommendation System. ACM Multimedia 2019: 2188-2190 - [c68]Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. SIGIR 2019: 75-84 - [c67]Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454 - [c66]Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Online Multi-modal Hashing with Dynamic Query-adaption. SIGIR 2019: 715-724 - [c65]Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734 - [c64]Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie:
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. SIGIR 2019: 785-794 - [i15]Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli:
Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. CoRR abs/1905.04877 (2019) - [i14]Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli:
User Diverse Preference Modeling by Multimodal Attentive Metric Learning. CoRR abs/1908.07738 (2019) - [i13]Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. CoRR abs/1908.09987 (2019) - 2018
- [j56]Liqiang Nie, Richang Hong, Peng Cui:
Guest Editorial: Query understanding. Neurocomputing 274: 1-2 (2018) - [j55]Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang:
Identifying advisor-advisee relationships from co-author networks via a novel deep model. Inf. Sci. 466: 258-269 (2018) - [j54]Xiaojun Chang, Yan Yan, Liqiang Nie:
Guest Editorial: Semantic Concept Discovery in MM Data. Multimedia Tools Appl. 77(3): 2945-2946 (2018) - [j53]Yahong Han, Liqiang Nie, Fei Wu:
Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. Multimedia Tools Appl. 77(22): 29209-29211 (2018) - [j52]Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng:
An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybernetics 48(2): 648-660 (2018) - [j51]Yingjie Xia, Luming Zhang, Lei Meng, Yan Yan, Liqiang Nie, Xuelong Li:
Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework. IEEE Trans. Cybernetics 48(11): 3080-3091 (2018) - [j50]Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang:
Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. IEEE Trans. Knowl. Data Eng. 30(8): 1519-1532 (2018) - [j49]Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang:
Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Netw. Learning Syst. 29(12): 6073-6082 (2018) - [j48]Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke:
Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018) - [j47]Yan Yan, Liqiang Nie, Rita Cucchiara:
Guest Editorial: Special Section on "Multimedia Understanding via Multimodal Analytics". TOMCCAP 14(2s): 37:1-37:2 (2018) - [c63]Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu:
Dual Deep Neural Networks Cross-Modal Hashing. AAAI 2018: 274-281 - [c62]Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao:
Supervised Deep Hashing for Hierarchical Labeled Data. AAAI 2018: 7388-7395 - [c61]Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL (1) 2018: 2193-2203 - [c60]Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie:
An Attentive Interaction Network for Context-aware Recommendations. CIKM 2018: 157-166 - [c59]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 - [c58]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. IJCAI 2018: 3449-3455 - [c57]Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie:
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI 2018: 4403-4410 - [c56]Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua:
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. IJCAI 2018: 4482-4488 - [c55]Chuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu:
SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval. ACM Multimedia 2018: 1-9 - [c54]Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua:
Cross-modal Moment Localization in Videos. ACM Multimedia 2018: 843-851 - [c53]Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli:
Multi-modal Preference Modeling for Product Search. ACM Multimedia 2018: 1865-1873 - [c52]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 - [c51]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. SIGIR 2018: 5-14 - [c50]Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua:
Attentive Moment Retrieval in Videos. SIGIR 2018: 15-24 - [c49]Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie:
Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018: 255-264 - [c48]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 - [c47]Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu:
Fast Scalable Supervised Hashing. SIGIR 2018: 735-744 - [c46]Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua:
Learning on Partial-Order Hypergraphs. WWW 2018: 1523-1532 - [c45]Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW 2018: 1543-1552 - [e1]Benoit Huet, Liqiang Nie, Richang Hong:
Internet Multimedia Computing and Service - 9th International Conference, ICIMCS 2017, Qingdao, China, August 23-25, 2017, Revised Selected Papers. Communications in Computer and Information Science 819, Springer 2018, ISBN 978-981-10-8529-1 [contents] - [i12]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. CoRR abs/1805.00313 (2018) - [i11]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. CoRR abs/1805.02232 (2018) - [i10]Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. CoRR abs/1805.04843 (2018) - [i9]Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. CoRR abs/1811.09386 (2018) - [i8]Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli:
Attentive Long Short-Term Preference Modeling for Personalized Product Search. CoRR abs/1811.10155 (2018) - 2017
- [j46]Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to complex cross-modal learning to rank. Computer Vision and Image Understanding 163: 67-77 (2017) - [j45]Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Jialie Shen, Shunxiang Wu, Tat-Seng Chua:
Version-sensitive mobile App recommendation. Inf. Sci. 381: 161-175 (2017) - [j44]An-An Liu, Ke Gao, Liqiang Nie, Juergen Gall, Yi Yang:
Special issue on cross-media big data analytics. J. Visual Communication and Image Representation 48: 353-355 (2017) - [j43]Yingjie Xia, Luming Zhang, Richang Hong, Liqiang Nie, Yan Yan, Ling Shao:
Perceptually Guided Photo Retargeting. IEEE Trans. Cybernetics 47(3): 566-578 (2017) - [j42]Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shaoling:
Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybernetics 47(11): 3680-3691 (2017) - [j41]Yingjie Xia, Luming Zhang, Zhenguang Liu, Liqiang Nie, Xuelong Li:
Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs. IEEE Trans. Image Processing 26(8): 3748-3758 (2017) - [j40]Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua:
Learning User Attributes via Mobile Social Multimedia Analytics. ACM TIST 8(3): 36:1-36:19 (2017) - [j39]Chaoran Cui, Jialie Shen, Liqiang Nie, Richang Hong, Jun Ma:
Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation. ACM TIST 8(5): 71:1-71:23 (2017) - [j38]Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua:
I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Trans. Knowl. Data Eng. 29(2): 344-358 (2017) - [j37]Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang:
Data-Driven Answer Selection in Community QA Systems. IEEE Trans. Knowl. Data Eng. 29(6): 1186-1198 (2017) - [j36]Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu:
Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Trans. Multimedia 19(5): 1050-1062 (2017) - [j35]Guoyu Lu, Liqiang Nie, Scott Sorensen, Chandra Kambhamettu:
Large-Scale Tracking for Images With Few Textures. IEEE Trans. Multimedia 19(9): 2117-2128 (2017) - [j34]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 Netw. Learning Syst. 28(7): 1508-1519 (2017) - [j33]Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu, Heng Tao Shen:
Targeted Advertising in Public Transportation Systems with Quantitative Evaluation. ACM Trans. Inf. Syst. 35(3): 20:1-20:29 (2017) - [j32]Dongxiang Zhang, Liqiang Nie, Huanbo Luan, Kian-Lee Tan, Tat-Seng Chua, Heng Tao Shen:
Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval. ACM Trans. Inf. Syst. 35(3): 27:1-27:24 (2017) - [j31]Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, Tat-Seng Chua:
Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts. ACM Trans. Inf. Syst. 35(4): 37:1-37:27 (2017) - [j30]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) - [c44]Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen:
S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. AAAI 2017: 3244-3251 - [c43]Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456 - [c42]Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua:
SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. CVPR 2017: 6298-6306 - [c41]Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua:
Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. IJCAI 2017: 310-316 - [c40]Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie:
Exploiting Music Play Sequence for Music Recommendation. IJCAI 2017: 3654-3660 - [c39]Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu:
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. IJCAI 2017: 3838-3844 - [c38]Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma:
NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM Multimedia 2017: 753-761 - [c37]Meng Liu, Liqiang Nie, Meng Wang, Baoquan Chen:
Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. ACM Multimedia 2017: 970-978 - [c36]Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian:
Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia 2017: 1192-1200 - [c35]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. ACM Multimedia 2017: 1716-1724 - [c34]Pengfei Zhang, Chuan-Xiang Li, Meng-Yuan Liu, Liqiang Nie, Xin-Shun Xu:
Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval. ACM Multimedia 2017: 1762-1770 - [c33]Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. SIGIR 2017: 185-194 - [c32]Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua:
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. SIGIR 2017: 335-344 - [c31]Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua:
Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR 2017: 455-464 - [c30]Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua:
Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. SIGIR 2017: 585-594 - [c29]Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan S. Kankanhalli:
Exploring User-Specific Information in Music Retrieval. SIGIR 2017: 655-664 - [c28]Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. WWW 2017: 173-182 - [i7]Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng:
Simple to Complex Cross-modal Learning to Rank. CoRR abs/1702.01229 (2017) - [i6]Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Liqiang Nie, Guihua Wen, Xianling Mao:
Supervised Deep Hashing for Hierarchical Labeled Data. CoRR abs/1704.02088 (2017) - [i5]Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Item Silk Road: Recommending Items from Information Domains to Social Users. CoRR abs/1706.03205 (2017) - [i4]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. CoRR abs/1707.01253 (2017) - [i3]Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua:
Neural Collaborative Filtering. CoRR abs/1708.05031 (2017) - 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 - [j29]Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua:
Towards organizing health knowledge on community-based health services. EURASIP J. Bioinformatics and Systems Biology 2016: 18 (2016) - [j28]Maofu Liu, Limin Wang, Liqiang Nie, Jianhua Dai, Donghong Ji:
Event graph based contradiction recognition from big data collection. Neurocomputing 181: 64-75 (2016) - [j27]Huijun Hu, Ya Liu, Maofu Liu, Liqiang Nie:
Surface defect classification in large-scale strip steel image collection via hybrid chromosome genetic algorithm. Neurocomputing 181: 86-95 (2016) - [j26]Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum:
From action to activity: Sensor-based activity recognition. Neurocomputing 181: 108-115 (2016) - [j25]Maofu Liu, Luming Zhang, Huijun Hu, Liqiang Nie, Jianhua Dai:
A classification model for semantic entailment recognition with feature combination. Neurocomputing 208: 127-135 (2016) - [j24]Jianglong Zhang, Xianglin Huang, Lifang Yang, Liqiang Nie:
Bridge the semantic gap between pop music acoustic feature and emotion: Build an interpretable model. Neurocomputing 208: 333-341 (2016) - [j23]Wei Wei, Zhaoyan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang, Changyin Luo:
Exploring heterogeneous features for query-focused summarization of categorized community answers. Inf. Sci. 330: 403-423 (2016) - [j22]Yuxing Hu, Liqiang Nie:
An aerial image recognition framework using discrimination and redundancy quality measure. J. Visual Communication and Image Representation 37: 53-62 (2016)<