Shangsong Liang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 101

Top Venues

CoRR

AAAI

ACM Trans. Inf. Syst.

CIKM

Publications

Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. CoRR (2024)
Shangsong Liang, Zhou Pan, Wei Liu, Jian Yin, Maarten de Rijke
A Survey on Variational Autoencoders in Recommender Systems. ACM Comput. Surv. 56 (10) (2024)
Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction. CoRR (2024)
Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. AAAI (2024)
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Spectral GNN via Two-dimensional (2-D) Graph Convolution. CoRR (2024)
Zhaopeng Yang, Huan Hao, Shangsong Liang
ACTOR: Adapting CLIP for Fully Transformer-based Open-vocabulary Detection. GAIIS (2024)
Shaowei Tang, Zaiqiao Meng, Shangsong Liang
Dynamic Co-Embedding Model for Temporal Attributed Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
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)
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR (2024)
Weiwei Yang, Shangsong Liang, Jian Yin
Spatial-Aware Multi-Directional Autoencoder For Pre-Training. Comput. J. 67 (4) (2024)
Jiasheng Li, Zaiqiao Meng, Shangsong Liang
Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. CVIPPR (2024)
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) (2024)
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) (2024)
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)
Liang Li, Qisheng Liao, Meiting Lai, Di Liang, Shangsong Liang
Local and Global: Text Matching Via Syntax Graph Calibration. ICASSP (2024)
Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. CoRR (2024)
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)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. ICLR (2024)
Tianjun Yao, Yiongxu Wang, Kun Zhang, Shangsong Liang
-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. CoRR (2024)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. 56 (6) (2024)
Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. KDD (2023)
Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD (2023)
Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Dilshod Azizov, Preslav Nakov, Shangsong Liang
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) (2023)
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) (2023)
Jiachen Yu, Yuehong Wu, Shangsong Liang
Wasserstein Topology Transfer for Joint Distilling Embeddings of Knowledge Graph Entities and Relations. ACAI (2023)
Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web 17 (1) (2023)
Bin Wu, Zaiqiao Meng, Shangsong Liang
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. ACM Trans. Web 17 (4) (2023)
Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao
A Distribution Preserving Model for Molecular Graph Generation. BIBM (2023)
Dilshod Azizov, Jiyong Li, Shangsong Liang
Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification. ArabicNLP (2023)
Dilshod Azizov, Jiyong Li, Shangsong Liang
Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models. ArabicNLP (2023)
Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang
Adaptive Compositional Continual Meta-Learning. ICML (2023)
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 (2023)
Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang
Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition. ArabicNLP (2023)
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)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR (2023)
Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. BigData (2023)
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)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR (2022)
Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP (2022)
Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. 40 (2) (2022)
Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI (2022)
Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Meta-Learning Helps Personalized Product Search. WWW (2022)
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) (2022)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR (2022)
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) (2022)
Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
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) (2022)
Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke
Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. 40 (3) (2022)
Bin Wu, Yuehong Wu, Shangsong Liang
Data-Hungry Issue in Personalized Product Search. PDCAT (2021)
Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Variational Continual Bayesian Meta-Learning. NeurIPS (2021)
Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Structure-Aware Random Fourier Kernel for Graphs. NeurIPS (2021)
Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM (2021)
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 (2021)
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 (2021)
Yuqin Lu, Yilan Fu, Jiangzhong Cao, Shangsong Liang, Wing-kuen Ling
Latent Multi-view Subspace Clustering Based on Schatten-P Norm. PDCAT (2021)
Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR (2021)
Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD (2021)
Xiaopeng Chao, Jiangzhong Cao, Yuqin Lu, Qingyun Dai, Shangsong Liang
Constrained Generative Adversarial Networks. IEEE Access 9 (2021)
Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI (2021)
Huimin Huang, Zaiqiao Meng, Shangsong Liang
Recurrent neural variational model for follower-based influence maximization. Inf. Sci. 528 (2020)
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)
Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
Addressing Class-Imbalance Problem in Personalized Ranking. CoRR (2020)
Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. CIKM (2020)
Liangliang Ma, Hong Shen, Shangsong Liang
A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation. PDCAT (2020)
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) (2020)
Yupeng Luo, Shangsong Liang, Zaiqiao Meng
Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM (2019)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. CoRR (2019)
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI (2019)
Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. 31 (2) (2019)
Shangsong Liang
Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. WWW (2019)
Shangsong Liang
Collaborative, Dynamic and Diversified User Profiling. AAAI (2019)
Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
Bayesian Deep Collaborative Matrix Factorization. AAAI (2019)
Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM (2019)
Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz
Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW (2019)
Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
Semi-supervisedly Co-embedding Attributed Networks. NeurIPS (2019)
Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz
From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW (2019)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Dynamic Collaborative Recurrent Learning. CIKM (2019)
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)
Teng Xiao, Shangsong Liang, Zaiqiao Meng
Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW (2019)
Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
Co-Embedding Attributed Networks. WSDM (2019)
Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas
Dynamic Embeddings for User Profiling in Twitter. KDD (2018)
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)
Shangsong Liang
Dynamic User Profiling for Streams of Short Texts. AAAI (2018)
Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
Neural Variational Hybrid Collaborative Filtering. CoRR (2018)
Qiang Zhang, Emine Yilmaz, Shangsong Liang
Ranking-based Method for News Stance Detection. WWW (Companion Volume) (2018)
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 (2018)
Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke
Manifold Learning for Rank Aggregation. WWW (2018)
Qiang Zhang, Shangsong Liang, Emine Yilmaz
Variational Self-attention Model for Sentence Representation. CoRR (2018)
Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM (2017)
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) (2017)
Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas
Collaborative User Clustering for Short Text Streams. AAAI (2017)
Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke
Summarizing Answers in Non-Factoid Community Question-Answering. WSDM (2017)
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)
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) (2017)
Shangsong Liang, Maarten de Rijke
Formal language models for finding groups of experts. Inf. Process. Manag. 52 (4) (2016)
Fei Cai, Shangsong Liang, Maarten de Rijke
Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. IEEE Trans. Knowl. Data Eng. 28 (9) (2016)
Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke
Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. 28 (11) (2016)
Yukun Zhao, Shangsong Liang, Jun Ma
Personalized Re-ranking of Tweets. WISE (2) (2016)
Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke
Explainable User Clustering in Short Text Streams. SIGIR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shangsong Liang