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2020 – today
- 2021
[j91]Peiguang Jing
, Yuting Su, Zhengnan Li, Liqiang Nie:
Learning robust affinity graph representation for multi-view clustering. Inf. Sci. 544: 155-167 (2021)- [j90]Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. 113: 107813 (2021) - [j89]Yupeng Hu, Meng Liu, Xiaobin Su, Zan Gao, Liqiang Nie:
Video Moment Localization via Deep Cross-Modal Hashing. IEEE Trans. Image Process. 30: 4667-4677 (2021) - [j88]Zhongying Zhao, Yonghao Yang, Chao Li, Liqiang Nie:
GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 132:1-132:17 (2021) - [j87]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) - [j86]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) - [c96]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381 - [i26]Yongqi Li, Wenjie Li, Liqiang Nie:
Incremental Knowledge Based Question Answering. CoRR abs/2101.06938 (2021) - [i25]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) - [i24]Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. CoRR abs/2102.10044 (2021) - [i23]Zhiyong Cheng, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie:
Factor-level Attentive ICF for Recommendation. CoRR abs/2102.10745 (2021) - [i22]Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua:
Graph Contrastive Clustering. CoRR abs/2104.01429 (2021) - [i21]Yongqi Li, Wenjie Li, Liqiang Nie:
A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. CoRR abs/2104.08443 (2021) - 2020
- [j85]Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie:
HesGCN: Hessian graph convolutional networks for semi-supervised classification. Inf. Sci. 514: 484-498 (2020) - [j84]Da Cao, Jingjing Chu, Ningbo Zhu, Liqiang Nie:
Cross-modal recipe retrieval via parallel- and cross-attention networks learning. Knowl. Based Syst. 193: 105428 (2020) - [j83]Da Cao, Lianhai Miao, Huigui Rong, Zheng Qin, Liqiang Nie:
Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities. Knowl. Based Syst. 203: 106114 (2020) - [j82]Fei Shang, Huaxiang Zhang, Jiande Sun, Liqiang Nie, Li Liu:
Cross-modal dual subspace learning with adversarial network. Neural Networks 126: 132-142 (2020) - [j81]Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie:
Domain Adaptation with Few Labeled Source Samples by Graph Regularization. Neural Process. Lett. 51(1): 23-39 (2020) - [j80]Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j79]Zhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu:
SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2262-2275 (2020) - [j78]Xiang Zhou, Fumin Shen, Li Liu, Wei Liu, Liqiang Nie, Yang Yang, Heng Tao Shen:
Graph Convolutional Network Hashing. IEEE Trans. Cybern. 50(4): 1460-1472 (2020) - [j77]Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen:
Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. 29: 1-14 (2020) - [j76]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) - [j75]Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie:
Scalable Deep Hashing for Large-Scale Social Image Retrieval. IEEE Trans. Image Process. 29: 1271-1284 (2020) - [j74]Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin:
Model Optimization Boosting Framework for Linear Model Hash Learning. IEEE Trans. Image Process. 29: 4254-4268 (2020) - [j73]Meng Liu, Leigang Qu, Liqiang Nie, Maofu Liu, Lingyu Duan, Baoquan Chen:
Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification. IEEE Trans. Image Process. 29: 9360-9372 (2020) - [j72]Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam:
Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. IEEE Trans. Multim. 22(4): 970-979 (2020) - [j71]Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su:
Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. IEEE Trans. Multim. 22(6): 1555-1566 (2020) - [j70]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) - [j69]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) - [j68]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) - [c95]Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha:
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395 - [c94]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c93]Da Cao, Yawen Zeng, Xiaochi Wei, Liqiang Nie, Richang Hong, Zheng Qin:
Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. ACM Multimedia 2020: 898-906 - [c92]Leigang Qu, Meng Liu, Da Cao, Liqiang Nie, Qi Tian:
Context-Aware Multi-View Summarization Network for Image-Text Matching. ACM Multimedia 2020: 1047-1055 - [c91]Xuzheng Yu, Tian Gan, Yinwei Wei, Zhiyong Cheng, Liqiang Nie:
Personalized Item Recommendation for Second-hand Trading Platform. ACM Multimedia 2020: 3478-3486 - [c90]Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, Liqiang Nie:
What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. ACM Multimedia 2020: 3487-3495 - [c89]Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549 - [c88]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 - [c87]Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie:
Generative Attribute Manipulation Scheme for Flexible Fashion Search. SIGIR 2020: 941-950 - [c86]Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie:
LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. WSDM 2020: 582-590 - [i20]Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie:
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR abs/2003.09086 (2020) - [i19]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020) - [i18]Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang:
Enhancing Factorization Machines with Generalized Metric Learning. CoRR abs/2006.11600 (2020) - [i17]Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian:
Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View. CoRR abs/2010.16010 (2020) - [i16]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 - [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 - [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 Process. 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 Technol. 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 Process. 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 Process. 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. Multim. 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. Multim. 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) - [c85]Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. AAAI 2019: 6359-6366 - [c84]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 - [c83]Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang:
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827 - [c82]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 - [c81]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 - [c80]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 - [c79]Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian:
Multimodal Dialog System: Generating Responses via Adaptive Decoders. ACM Multimedia 2019: 1098-1106 - [c78]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 - [c77]Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie:
Personalized Hashtag Recommendation for Micro-videos. ACM Multimedia 2019: 1446-1454 - [c76]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 - [c75]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 - [c74]Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian:
Video-Based Cross-Modal Recipe Retrieval. ACM Multimedia 2019: 1685-1693 - [c73]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 - [c72]Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie:
Seeking Micro-influencers for Brand Promotion. ACM Multimedia 2019: 1933-1941 - [c71]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 - [c70]Tian Gan, Zhixin Ma, Yuxiao Lu, Xuemeng Song, Liqiang Nie:
Learn to Gesture: Let Your Body Speak. MMAsia 2019: 33:1-33:6 - [c69]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 - [c68]Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454 - [c67]Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang:
Online Multi-modal Hashing with Dynamic Query-adaption. SIGIR 2019: 715-724 - [c66]Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734 - [c65]Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie:
Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. SIGIR 2019: 785-794 - [c64]Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie:
Principal Component Analysis on Graph-Hessian. SSCI 2019: 1494-1501 - [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. Multim. Tools Appl. 77(3): 2945-2946 (2018) - [j53]Yahong Han, Liqiang Nie, Fei Wu:
Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. Multim. 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. Cybern. 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. Cybern. 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 Networks Learn. 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". ACM Trans. Multim. Comput. Commun. Appl. 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]