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2020 – today
- 2025
[j31]Lingyue Hu, Kailong Zhao
, Bingo Wing-Kuen Ling, Shangsong Liang, Yiting Wei:
Improving human activity recognition via graph attention network with linear discriminant analysis and residual learning. Biomed. Signal Process. Control. 100: 107053 (2025)- 2024
- [j30]Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng:
Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings Bioinform. 25(5) (2024) - [j29]Weiwei Yang, Shangsong Liang, Jian Yin:
Spatial-Aware Multi-Directional Autoencoder For Pre-Training. Comput. J. 67(4): 1346-1360 (2024) - [j28]Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. 56(6): 159:1-159:42 (2024) - [j27]Shangsong Liang, Zhou Pan, Wei Liu, Jian Yin, Maarten de Rijke:
A Survey on Variational Autoencoders in Recommender Systems. ACM Comput. Surv. 56(10): 268 (2024) - [j26]Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 1003-1014 (2024) - [j25]Shaowei Tang, Zaiqiao Meng, Shangsong Liang:
Dynamic Co-Embedding Model for Temporal Attributed Networks. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3488-3502 (2024) - [j24]Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 74:1-74:34 (2024) - [c69]Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang:
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. AAAI 2024: 13554-13562 - [c68]Jiasheng Li, Zaiqiao Meng, Shangsong Liang:
Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. CVIPPR 2024: 41 - [c67]Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz:
KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) 2024: 398-402 - [c66]Zhaopeng Yang, Huan Hao, Shangsong Liang:
ACTOR: Adapting CLIP for Fully Transformer-based Open-vocabulary Detection. GAIIS 2024 - [c65]Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding:
ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) 2024: 132-146 - [c64]Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang:
A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP 2024: 2365-2369 - [c63]Liang Li, Qisheng Liao, Meiting Lai, Di Liang, Shangsong Liang:
Local and Global: Text Matching Via Syntax Graph Calibration. ICASSP 2024: 11571-11575 - [c62]Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing:
CLEX: Continuous Length Extrapolation for Large Language Models. ICLR 2024 - [i16]Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang:
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction. CoRR abs/2402.11538 (2024) - [i15]Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang:
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. CoRR abs/2403.04599 (2024) - [i14]Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo:
Spectral GNN via Two-dimensional (2-D) Graph Convolution. CoRR abs/2404.04559 (2024) - [i13]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR abs/2404.04998 (2024) - [i12]Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo:
Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. CoRR abs/2404.15354 (2024) - [i11]Tianjun Yao, Yiongxu Wang, Kun Zhang, Shangsong Liang:
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. CoRR abs/2406.19244 (2024) - 2023
- [j23]Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang:
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations. Briefings Bioinform. 24(5) (2023) - [j22]Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang:
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction. BMC Bioinform. 24(1): 335 (2023) - [j21]Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang:
Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2406-2420 (2023) - [j20]Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web 17(1): 6:1-6:34 (2023) - [j19]Bin Wu, Zaiqiao Meng, Shangsong Liang:
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. ACM Trans. Web 17(4): 33:1-33:31 (2023) - [c61]Jiachen Yu, Yuehong Wu, Shangsong Liang:
Wasserstein Topology Transfer for Joint Distilling Embeddings of Knowledge Graph Entities and Relations. ACAI 2023: 176-182 - [c60]Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao:
A Distribution Preserving Model for Molecular Graph Generation. BIBM 2023: 379-386 - [c59]Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang:
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. IEEE Big Data 2023: 2802-2804 - [c58]Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 289-305 - [c57]Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin:
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. DASFAA (2) 2023: 563-573 - [c56]Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang:
Adaptive Compositional Continual Meta-Learning. ICML 2023: 37358-37378 - [c55]Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang:
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD 2023: 775-787 - [c54]Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang:
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. KDD 2023: 3070-3081 - [c53]Dilshod Azizov, Jiyong Li, Shangsong Liang:
Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models. ArabicNLP 2023: 583-588 - [c52]Dilshod Azizov, Jiyong Li, Shangsong Liang:
Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification. ArabicNLP 2023: 637-641 - [c51]Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang:
Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition. ArabicNLP 2023: 765-770 - [i10]Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR abs/2302.00389 (2023) - [i9]Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing:
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR abs/2310.16450 (2023) - 2022
- [j18]Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, Shangsong Liang:
Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites. Inf. 13(3): 110 (2022) - [j17]Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng:
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data 16(3): 55:1-55:31 (2022) - [j16]Shangsong Liang, Yupeng Luo, Zaiqiao Meng:
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. ACM Trans. Inf. Syst. 40(2): 34:1-34:38 (2022) - [j15]Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang:
Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. 40(2): 36:1-36:29 (2022) - [j14]Yadong Zhu, Xiliang Wang, Qing Li, Tianjun Yao, Shangsong Liang:
BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising. ACM Trans. Inf. Syst. 40(3): 50:1-50:28 (2022) - [j13]Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke:
Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. 40(3): 58:1-58:36 (2022) - [c50]Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI 2022: 5530-5538 - [c49]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022: 2612-2626 - [c48]Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang:
Meta-Learning Helps Personalized Product Search. WWW 2022: 2277-2287 - [i8]Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang:
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR abs/2202.07962 (2022) - [i7]Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR abs/2211.03536 (2022) - 2021
- [j12]Xiaopeng Chao, Jiangzhong Cao, Yuqin Lu, Qingyun Dai, Shangsong Liang:
Constrained Generative Adversarial Networks. IEEE Access 9: 19208-19218 (2021) - [j11]Senhong Wang, Jiangzhong Cao, Fangyuan Lei, Qingyun Dai, Shangsong Liang, Bingo Wing-Kuen Ling:
Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding. Comput. Intell. Neurosci. 2021: 4296247:1-4296247:22 (2021) - [j10]Xiaofei Zhu, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze:
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Syst. Appl. 186: 115712 (2021) - [c47]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI 2021: 2755-2763 - [c46]Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD 2021: 353-363 - [c45]Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang:
Structure-Aware Random Fourier Kernel for Graphs. NeurIPS 2021: 17681-17694 - [c44]Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz:
Variational Continual Bayesian Meta-Learning. NeurIPS 2021: 24556-24568 - [c43]Bin Wu, Yuehong Wu, Shangsong Liang:
Data-Hungry Issue in Personalized Product Search. PDCAT 2021: 485-494 - [c42]Yuqin Lu, Yilan Fu, Jiangzhong Cao, Shangsong Liang, Wing-kuen Ling:
Latent Multi-view Subspace Clustering Based on Schatten-P Norm. PDCAT 2021: 512-520 - [c41]Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang:
Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM 2021: 535-543 - [i6]Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz:
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR abs/2108.03805 (2021) - 2020
- [j9]Huimin Huang, Zaiqiao Meng, Shangsong Liang:
Recurrent neural variational model for follower-based influence maximization. Inf. Sci. 528: 280-293 (2020) - [j8]Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis:
Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. 38(2): 16:1-16:32 (2020) - [c40]Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu:
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. CIKM 2020: 2901-2908 - [c39]Liangliang Ma, Hong Shen, Shangsong Liang:
A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation. PDCAT 2020: 30-42 - [c38]Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang:
BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys 2020: 588-590 - [i5]Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang:
Addressing Class-Imbalance Problem in Personalized Ranking. CoRR abs/2005.09272 (2020)
2010 – 2019
- 2019
- [j7]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. 31(2): 257-272 (2019) - [c37]Shangsong Liang:
Collaborative, Dynamic and Diversified User Profiling. AAAI 2019: 4269-4276 - [c36]Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng:
Bayesian Deep Collaborative Matrix Factorization. AAAI 2019: 5474-5481 - [c35]Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang:
Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI 2019: 5709-5716 - [c34]Yupeng Luo, Shangsong Liang, Zaiqiao Meng:
Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM 2019: 439-448 - [c33]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Dynamic Collaborative Recurrent Learning. CIKM 2019: 1151-1160 - [c32]Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang:
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM 2019: 1693-1702 - [c31]Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang:
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. IJCAI 2019: 5765-5771 - [c30]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS 2019: 6504-6513 - [c29]Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang:
Co-Embedding Attributed Networks. WSDM 2019: 393-401 - [c28]Shangsong Liang:
Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. WWW 2019: 1039-1050 - [c27]Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz:
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW 2019: 2323-2332 - [c26]Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz:
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW 2019: 2333-2343 - [c25]Teng Xiao, Shangsong Liang, Zaiqiao Meng:
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW 2019: 3377-3383 - [i4]Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao:
Semi-supervisedly Co-embedding Attributed Networks. CoRR abs/1910.14491 (2019) - 2018
- [c24]Shangsong Liang:
Dynamic User Profiling for Streams of Short Texts. AAAI 2018: 5860-5867 - [c23]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM 2018: 1403-1412 - [c22]Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas:
Dynamic Embeddings for User Profiling in Twitter. KDD 2018: 1764-1773 - [c21]Qiang Zhang, Emine Yilmaz, Shangsong Liang:
Ranking-based Method for News Stance Detection. WWW (Companion Volume) 2018: 41-42 - [c20]Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke:
Manifold Learning for Rank Aggregation. WWW 2018: 1735-1744 - [i3]Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin:
Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR abs/1808.10596 (2018) - [i2]Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng:
Neural Variational Hybrid Collaborative Filtering. CoRR abs/1810.05376 (2018) - [i1]Qiang Zhang, Shangsong Liang, Emine Yilmaz:
Variational Self-attention Model for Sentence Representation. CoRR abs/1812.11559 (2018) - 2017
- [j6]Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft:
Search Result Diversification in Short Text Streams. ACM Trans. Inf. Syst. 36(1): 8:1-8:35 (2017) - [j5]Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. 36(1): 10:1-10:37 (2017) - [c19]Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas:
Collaborative User Clustering for Short Text Streams. AAAI 2017: 3504-3510 - [c18]Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke:
Summarizing Answers in Non-Factoid Community Question-Answering. WSDM 2017: 405-414 - [c17]Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM 2017: 485-494 - [c16]Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox:
A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) 2017: 885-886 - 2016
- [j4]Shangsong Liang, Maarten de Rijke:
Formal language models for finding groups of experts. Inf. Process. Manag. 52(4): 529-549 (2016) - [j3]Fei Cai, Shangsong Liang, Maarten de Rijke:
Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. IEEE Trans. Knowl. Data Eng. 28(9): 2452-2466 (2016) - [j2]Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke:
Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. 28(11): 2958-2973 (2016) - [c15]Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas:
Dynamic Clustering of Streaming Short Documents. KDD 2016: 995-1004 - [c14]Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke:
Explainable User Clustering in Short Text Streams. SIGIR 2016: 155-164 - [c13]Yukun Zhao, Shangsong Liang, Jun Ma:
Personalized Re-ranking of Tweets. WISE (2) 2016: 70-84 - 2015
- [j1]Shangsong Liang, Maarten de Rijke:
Burst-aware data fusion for microblog search. Inf. Process. Manag. 51(2): 89-113 (2015) - 2014
- [c12]Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke:
Time-Aware Rank Aggregation for Microblog Search. CIKM 2014: 989-998 - [c11]Fei Cai, Shangsong Liang, Maarten de Rijke:
Time-sensitive Personalized Query Auto-Completion. CIKM 2014: 1599-1608 - [c10]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. ECIR 2014: 493-499 - [c9]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
Personalized search result diversification via structured learning. KDD 2014: 751-760 - [c8]Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, Maarten de Rijke:
Hierarchical multi-label classification of social text streams. SIGIR 2014: 213-222 - [c7]Shangsong Liang, Zhaochun Ren, Maarten de Rijke:
Fusion helps diversification. SIGIR 2014: 303-312 - [c6]Fei Cai, Shangsong Liang, Maarten de Rijke:
Personalized document re-ranking based on Bayesian probabilistic matrix factorization. SIGIR 2014: 835-838 - 2013
- [c5]Shangsong Liang, Maarten de Rijke, Manos Tsagkias:
Late Data Fusion for Microblog Search. ECIR 2013: 743-746 - [c4]Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke:
Personalized time-aware tweets summarization. SIGIR 2013: 513-522 - [c3]Shangsong Liang, Maarten de Rijke:
Finding knowledgeable groups in enterprise corpora. SIGIR 2013: 1005-1008 - 2010
- [c2]Dongjian He, Shangsong Liang, Yong Fang:
A Multi-Descriptor, Multi-Nearest Neighbor Approach for Image Classification. ICIC (1) 2010: 515-523
2000 – 2009
- 2009
- [c1]Jinglei Tang, Xu Jing, Dongjian He, Shangsong Liang:
Blind-Road Location and Recognition in Natural Scene. CSIE (5) 2009: 283-287
Coauthor Index
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