| 2026 | ACL | Intrinsic Mutual Information as a Modulator for Preference Optimization. | Peng Liao, Peijia Zheng, Lingbo Li, Shangsong Liang, Lin Chen |
| 2025 | ACL | Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively. | Jiawei Gu, Shangsong Liang |
| 2025 | ACL | MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction. | Ziting Xian, Jiawei Gu, Lingbo Li, Shangsong Liang |
| 2025 | EMNLP | L4: Mutual Learning Helps Lifelong Language Learning. | Jiyong Li, Dilshod Azizov, Shangsong Liang |
| 2025 | ICASSP | ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters. | Guoming Li, Jian Yang, Shangsong Liang |
| 2025 | ICLR | SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. | Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar |
| 2025 | NAACL | MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media. | Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang |
| 2025 | WWW | Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach. | Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo |
| 2024 | AAAI | Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. | Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang |
| 2024 | DASFAA | Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. | Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin |
| 2024 | ECIR | KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. | Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz |
| 2024 | EMNLP | SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. | Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh, Preslav Nakov, Shangsong Liang |
| 2024 | ICANN | ProTeM: Unifying Protein Function Prediction via Text Matching. | Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding |
| 2024 | ICASSP | Local and Global: Text Matching Via Syntax Graph Calibration. | Liang Li, Qisheng Liao, Meiting Lai, Di Liang, Shangsong Liang |
| 2024 | ICASSP | A Property-Guided Diffusion Model For Generating Molecular Graphs. | Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang |
| 2024 | ICLR | CLEX: Continuous Length Extrapolation for Large Language Models. | Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing |
| 2023 | DASFAA | Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. | Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin |
| 2023 | ICML | Adaptive Compositional Continual Meta-Learning. | Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang |
| 2023 | KDD | Leveraging Relational Graph Neural Network for Transductive Model Ensemble. | Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang |
| 2023 | KDD | Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. | Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang |
| 2022 | AAAI | Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. | Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2022 | EMNLP | Revisiting Parameter-Efficient Tuning: Are We Really There Yet? | Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang |
| 2022 | WWW | Meta-Learning Helps Personalized Product Search. | Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2021 | AAAI | Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. | Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia |
| 2021 | KDD | Gaussian Process with Graph Convolutional Kernel for Relational Learning. | Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2021 | PDCAT | Latent Multi-view Subspace Clustering Based on Schatten-P Norm. | Yuqin Lu, Yilan Fu, Jiangzhong Cao, Shangsong Liang, Wing-kuen Ling |
| 2021 | PDCAT | Data-Hungry Issue in Personalized Product Search. | Bin Wu, Yuehong Wu, Shangsong Liang |
| 2021 | WSDM | Learning Dynamic Embeddings for Temporal Knowledge Graphs. | Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2020 | CIKM | BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. | Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu |
| 2020 | PDCAT | A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation. | Liangliang Ma, Hong Shen, Shangsong Liang |
| 2020 | RecSys | BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang |
| 2019 | AAAI | Collaborative, Dynamic and Diversified User Profiling. | Shangsong Liang |
| 2019 | AAAI | Bayesian Deep Collaborative Matrix Factorization. | Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng |
| 2019 | AAAI | Multi-Order Attentive Ranking Model for Sequential Recommendation. | Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang |
| 2019 | CIKM | Constrained Co-embedding Model for User Profiling in Question Answering Communities. | Yupeng Luo, Shangsong Liang, Zaiqiao Meng |
| 2019 | CIKM | Dynamic Collaborative Recurrent Learning. | Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | CIKM | Dynamic Bayesian Metric Learning for Personalized Product Search. | Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang |
| 2019 | IJCAI | ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. | Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang |
| 2019 | WWW | Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. | Shangsong Liang |
| 2019 | WWW | Hierarchical Neural Variational Model for Personalized Sequential Recommendation. | Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | WWW | From Stances' Imbalance to Their HierarchicalRepresentation and Detection. | Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz |
| 2019 | WWW | Reply-Aided Detection of Misinformation via Bayesian Deep Learning. | Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz |
| 2019 | WSDM | Co-Embedding Attributed Networks. | Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang |
| 2018 | AAAI | Dynamic User Profiling for Streams of Short Texts. | Shangsong Liang |
| 2018 | CIKM | Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. | Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin |
| 2018 | KDD | Dynamic Embeddings for User Profiling in Twitter. | Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas |
| 2018 | WWW | Manifold Learning for Rank Aggregation. | Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke |
| 2018 | WWW | Ranking-based Method for News Stance Detection. | Qiang Zhang, Emine Yilmaz, Shangsong Liang |
| 2017 | AAAI | Collaborative User Clustering for Short Text Streams. | Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas |
| 2017 | WWW | A Concept Language Model for Ad-hoc Retrieval. | Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox |
| 2017 | WSDM | Social Collaborative Viewpoint Regression with Explainable Recommendations. | Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke |
| 2017 | WSDM | Summarizing Answers in Non-Factoid Community Question-Answering. | Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke |
| 2016 | KDD | Dynamic Clustering of Streaming Short Documents. | Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas |
| 2016 | SIGIR | Explainable User Clustering in Short Text Streams. | Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke |
| 2016 | WISE | Personalized Re-ranking of Tweets. | Yukun Zhao, Shangsong Liang, Jun Ma |
| 2014 | CIKM | Time-sensitive Personalized Query Auto-Completion. | Fei Cai, Shangsong Liang, Maarten de Rijke |
| 2014 | CIKM | Time-Aware Rank Aggregation for Microblog Search. | Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke |
| 2014 | ECIR | The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | KDD | Personalized search result diversification via structured learning. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | SIGIR | Personalized document re-ranking based on Bayesian probabilistic matrix factorization. | Fei Cai, Shangsong Liang, Maarten de Rijke |
| 2014 | SIGIR | Fusion helps diversification. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | SIGIR | Hierarchical multi-label classification of social text streams. | Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, Maarten de Rijke |
| 2013 | ECIR | Late Data Fusion for Microblog Search. | Shangsong Liang, Maarten de Rijke, Manos Tsagkias |
| 2013 | SIGIR | Finding knowledgeable groups in enterprise corpora. | Shangsong Liang, Maarten de Rijke |
| 2013 | SIGIR | Personalized time-aware tweets summarization. | Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke |