Shangsong Liang

142 papers A* 36A 14B 1C 3Misc 3Journal 62Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DuSEGO: Dual Second-Order Equivariant Graph Ordinary Differential Equation. ACM Trans. Knowl. Discov. Data Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2025	J	`jnl`	D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation. CoRR Weibo Zhou, Lingbo Li, Shangsong Liang
2025	Misc	`conf`	ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters. ICASSP Guoming Li, Jian Yang, Shangsong Liang
2025	J	`jnl`	Editorial. Inf. Retr. Res. J. Djoerd Hiemstra, Ismail Sengor Altingovde, Solomon Atnafu, Daniela Godoy, Ben He, Makoto P. Kato, Shangsong Liang, Haiming Liu, Vanessa Murdock, Monica Lestari Paramita, Barbara Poblete, Negin Rahimi, Debarshi Kumar Sanyal, Johanne R. Trippas
2025	J	`jnl`	Improving human activity recognition via graph attention network with linear discriminant analysis and residual learning. Biomed. Signal Process. Control. Lingyue Hu, Kailong Zhao, Bingo Wing-Kuen Ling, Shangsong Liang, Yiting Wei
2025	—	`conf`	L4: Mutual Learning Helps Lifelong Language Learning. EMNLP (Industry Track) Jiyong Li, Dilshod Azizov, Shangsong Liang
2025	J	`jnl`	LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought. CoRR Ruiyan Qi, Congding Wen, Weibo Zhou, Jiwei Li, Shangsong Liang, Lingbo Li
2025	—	`conf`	MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media. NAACL (Long Papers) Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang
2025	—	`conf`	MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction. ACL (1) Ziting Xian, Jiawei Gu, Lingbo Li, Shangsong Liang
2025	A*	`conf`	Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach. WWW Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2025	A*	`conf`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. ICLR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	J	`jnl`	SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. CoRR Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar
2025	—	`conf`	Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively. ACL (6) Jiawei Gu, Shangsong Liang
2025	J	`jnl`	Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively. CoRR Jiawei Gu, Shangsong Liang
2025	J	`jnl`	Time-aware graph flashback network for next location recommendation. J. Intell. Inf. Syst. Junheng Gao, Wei Liu, Shangsong Liang
2024	J	`jnl`	A Decade of Deep Learning: A Survey on The Magnificent Seven. CoRR Dilshod Azizov, Muhammad Arslan Manzoor, Velibor Bojkovic, Yingxu Wang, Zixiao Wang, Zangir Iklassov, Kailong Zhao, Liang Li, Siwei Liu, Yu Zhong, Wei Liu, Shangsong Liang
2024	Misc	`conf`	A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang
2024	J	`jnl`	A Survey on Variational Autoencoders in Recommender Systems. ACM Comput. Surv. Shangsong Liang, Zhou Pan, Wei Liu, Jian Yin, Maarten de Rijke
2024	—	`conf`	ACTOR: Adapting CLIP for Fully Transformer-based Open-vocabulary Detection. GAIIS Zhaopeng Yang, Huan Hao, Shangsong Liang
2024	—	`conf`	Active Learning for Multi-Class Drug-Drug Interactions Prediction. BIBM Ang Liu, Yafang Huang, Yuehong Wu, Siwei Liu, Shangsong Liang
2024	A*	`conf`	Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing. NeurIPS Yanfang Ling, Jiyong Li, Lingbo Li, Shangsong Liang
2024	A*	`conf`	CLEX: Continuous Length Extrapolation for Large Language Models. ICLR Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2024	A*	`conf`	Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. AAAI Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang
2024	J	`jnl`	Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. CoRR Jiyong Li, Dilshod Azizov, Yang Li, Shangsong Liang
2024	J	`jnl`	Degree Distribution based Spiking Graph Networks for Domain Adaptation. CoRR Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin
2024	J	`jnl`	DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation. CoRR Yingxu Wang, Nan Yin, Mingyan Xiao, Xinhao Yi, Siwei Liu, Shangsong Liang
2024	J	`jnl`	Dynamic Co-Embedding Model for Temporal Attributed Networks. IEEE Trans. Neural Networks Learn. Syst. Shaowei Tang, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	ERGNN: Spectral Graph Neural Network with Explicitly-optimized Rational Graph Filters. CoRR Guoming Li, Jian Yang, Shangsong Liang
2024	J	`jnl`	Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. CoRR Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2024	J	`jnl`	Enhancing Graph Neural Networks via Memorized Global Information. ACM Trans. Web Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings Bioinform. Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng
2024	J	`jnl`	Improving the Expressiveness of CoRR Tianjun Yao, Yiongxu Wang, Kun Zhang, Shangsong Liang
2024	—	`conf`	KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz
2024	J	`jnl`	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2024	Misc	`conf`	Local and Global: Text Matching Via Syntax Graph Calibration. ICASSP Liang Li, Qisheng Liao, Meiting Lai, Di Liang, Shangsong Liang
2024	J	`jnl`	MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media. CoRR Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang
2024	J	`jnl`	Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
2024	J	`jnl`	PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction. CoRR Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
2024	J	`jnl`	PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction. Mach. Learn. Sci. Technol. Junjian Lu, Siwei Liu, Dmitrii Kobylianski, Etienne Dreyer, Eilam Gross, Shangsong Liang
2024	—	`conf`	ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding
2024	—	`conf`	SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. EMNLP (Findings) Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh, Preslav Nakov, Shangsong Liang
2024	J	`jnl`	Spatial-Aware Multi-Directional Autoencoder For Pre-Training. Comput. J. Weiwei Yang, Shangsong Liang, Jian Yin
2024	J	`jnl`	Spectral GNN via Two-dimensional (2-D) Graph Convolution. CoRR Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
2024	—	`conf`	Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. CVIPPR Jiasheng Li, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top- ACM Trans. Knowl. Discov. Data Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
2024	—	`conf`	Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. DASFAA (2) Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin
2024	J	`jnl`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
2023	—	`conf`	A Distribution Preserving Model for Molecular Graph Generation. BIBM Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao
2023	A*	`conf`	Adaptive Compositional Continual Meta-Learning. ICML Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang
2023	B	`conf`	Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. IEEE Big Data Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, Shangsong Liang
2023	J	`jnl`	CLEX: Continuous Length Extrapolation for Large Language Models. CoRR Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2023	J	`jnl`	Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
2023	J	`jnl`	Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. ACM Trans. Web Bin Wu, Zaiqiao Meng, Shangsong Liang
2023	J	`jnl`	Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2023	—	`conf`	Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models. ArabicNLP Dilshod Azizov, Jiyong Li, Shangsong Liang
2023	—	`conf`	Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) Dilshod Azizov, Preslav Nakov, Shangsong Liang
2023	—	`conf`	Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification. ArabicNLP Dilshod Azizov, Jiyong Li, Shangsong Liang
2023	J	`jnl`	HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction. BMC Bioinform. Shiyang Liang, Siwei Liu, Junliang Song, Qiang Lin, Shihong Zhao, Shuaixin Li, Jiahui Li, Shangsong Liang, Jingjie Wang
2023	A*	`conf`	Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. KDD Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang
2023	A*	`conf`	Leveraging Relational Graph Neural Network for Transductive Model Ensemble. KDD Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
2023	—	`conf`	Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition. ArabicNLP Jiyong Li, Dilshod Azizov, Hilal AlQuabeh, Shangsong Liang
2023	J	`jnl`	Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
2023	—	`conf`	Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. DASFAA (2) Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
2023	J	`jnl`	Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations. Briefings Bioinform. Zixiao Wang, Shiyang Liang, Siwei Liu, Zhaohan Meng, Jingjie Wang, Shangsong Liang
2023	—	`conf`	Wasserstein Topology Transfer for Joint Distilling Embeddings of Knowledge Graph Entities and Relations. ACAI Jiachen Yu, Yuehong Wu, Shangsong Liang
2022	J	`jnl`	A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
2022	J	`jnl`	BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising. ACM Trans. Inf. Syst. Yadong Zhu, Xiliang Wang, Qing Li, Tianjun Yao, Shangsong Liang
2022	J	`jnl`	Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites. Inf. Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, Shangsong Liang
2022	J	`jnl`	Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke
2022	J	`jnl`	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2022	A*	`conf`	Meta-Learning Helps Personalized Product Search. WWW Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	A*	`conf`	Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	J	`jnl`	Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
2022	J	`jnl`	Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. ACM Trans. Inf. Syst. Shangsong Liang, Yupeng Luo, Zaiqiao Meng
2022	A*	`conf`	Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
2022	J	`jnl`	Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
2021	J	`jnl`	Constrained Generative Adversarial Networks. IEEE Access Xiaopeng Chao, Jiangzhong Cao, Yuqin Lu, Qingyun Dai, Shangsong Liang
2021	C	`conf`	Data-Hungry Issue in Personalized Product Search. PDCAT Bin Wu, Yuehong Wu, Shangsong Liang
2021	J	`jnl`	GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Syst. Appl. Xiaofei Zhu, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze
2021	A*	`conf`	Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	C	`conf`	Latent Multi-view Subspace Clustering Based on Schatten-P Norm. PDCAT Yuqin Lu, Yilan Fu, Jiangzhong Cao, Shangsong Liang, Wing-Kuen Ling
2021	A	`conf`	Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	J	`jnl`	Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
2021	J	`jnl`	Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding. Comput. Intell. Neurosci. Senhong Wang, Jiangzhong Cao, Fangyuan Lei, Qingyun Dai, Shangsong Liang, Bingo Wing-Kuen Ling
2021	A*	`conf`	Structure-Aware Random Fourier Kernel for Graphs. NeurIPS Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
2021	A*	`conf`	Variational Continual Bayesian Meta-Learning. NeurIPS Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
2021	A*	`conf`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
2020	C	`conf`	A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation. PDCAT Liangliang Ma, Hong Shen, Shangsong Liang
2020	J	`jnl`	Addressing Class-Imbalance Problem in Personalized Ranking. CoRR Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
2020	A	`conf`	BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020	A	`conf`	BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. CIKM Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu
2020	J	`jnl`	Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
2020	J	`jnl`	Recurrent neural variational model for follower-based influence maximization. Inf. Sci. Huimin Huang, Zaiqiao Meng, Shangsong Liang
2019	A*	`conf`	Bayesian Deep Collaborative Matrix Factorization. AAAI Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
2019	A	`conf`	Co-Embedding Attributed Networks. WSDM Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
2019	A*	`conf`	Collaborative, Dynamic and Diversified User Profiling. AAAI Shangsong Liang
2019	J	`jnl`	Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas
2019	A	`conf`	Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM Yupeng Luo, Shangsong Liang, Zaiqiao Meng
2019	A	`conf`	Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
2019	A	`conf`	Dynamic Collaborative Recurrent Learning. CIKM Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	A*	`conf`	From Stances' Imbalance to Their HierarchicalRepresentation and Detection. WWW Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz
2019	A*	`conf`	Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	A*	`conf`	ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. IJCAI Jing Song, Hong Shen, Zijing Ou, Junyi Zhang, Teng Xiao, Shangsong Liang
2019	A*	`conf`	Multi-Order Attentive Ranking Model for Sequential Recommendation. AAAI Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
2019	A*	`conf`	Reply-Aided Detection of Misinformation via Bayesian Deep Learning. WWW Qiang Zhang, Aldo Lipani, Shangsong Liang, Emine Yilmaz
2019	A*	`conf`	Semi-supervisedly Co-embedding Attributed Networks. NeurIPS Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	J	`jnl`	Semi-supervisedly Co-embedding Attributed Networks. CoRR Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	A*	`conf`	Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. WWW Shangsong Liang
2018	A*	`conf`	Dynamic Embeddings for User Profiling in Twitter. KDD Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas
2018	A*	`conf`	Dynamic User Profiling for Streams of Short Texts. AAAI Shangsong Liang
2018	J	`jnl`	Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. CoRR Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin
2018	A	`conf`	Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. CIKM Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin
2018	A*	`conf`	Manifold Learning for Rank Aggregation. WWW Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke
2018	J	`jnl`	Neural Variational Hybrid Collaborative Filtering. CoRR Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
2018	—	`conf`	Ranking-based Method for News Stance Detection. WWW (Companion Volume) Qiang Zhang, Emine Yilmaz, Shangsong Liang
2018	J	`jnl`	Variational Self-attention Model for Sentence Representation. CoRR Qiang Zhang, Shangsong Liang, Emine Yilmaz
2017	—	`conf`	A Concept Language Model for Ad-hoc Retrieval. WWW (Companion Volume) Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox
2017	A*	`conf`	Collaborative User Clustering for Short Text Streams. AAAI Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas
2017	J	`jnl`	Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. ACM Trans. Inf. Syst. Shangsong Liang, Zhaochun Ren, Yukun Zhao, Jun Ma, Emine Yilmaz, Maarten de Rijke
2017	J	`jnl`	Search Result Diversification in Short Text Streams. ACM Trans. Inf. Syst. Shangsong Liang, Emine Yilmaz, Hong Shen, Maarten de Rijke, W. Bruce Croft
2017	A	`conf`	Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke
2017	A	`conf`	Summarizing Answers in Non-Factoid Community Question-Answering. WSDM Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke
2016	A*	`conf`	Dynamic Clustering of Streaming Short Documents. KDD Shangsong Liang, Emine Yilmaz, Evangelos Kanoulas
2016	J	`jnl`	Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke
2016	A*	`conf`	Explainable User Clustering in Short Text Streams. SIGIR Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke
2016	J	`jnl`	Formal language models for finding groups of experts. Inf. Process. Manag. Shangsong Liang, Maarten de Rijke
2016	—	`conf`	Personalized Re-ranking of Tweets. WISE (2) Yukun Zhao, Shangsong Liang, Jun Ma
2016	J	`jnl`	Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. IEEE Trans. Knowl. Data Eng. Fei Cai, Shangsong Liang, Maarten de Rijke
2015	J	`jnl`	Burst-aware data fusion for microblog search. Inf. Process. Manag. Shangsong Liang, Maarten de Rijke
2014	A*	`conf`	Fusion helps diversification. SIGIR Shangsong Liang, Zhaochun Ren, Maarten de Rijke
2014	A*	`conf`	Hierarchical multi-label classification of social text streams. SIGIR Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, Maarten de Rijke
2014	A*	`conf`	Personalized document re-ranking based on Bayesian probabilistic matrix factorization. SIGIR Fei Cai, Shangsong Liang, Maarten de Rijke
2014	A*	`conf`	Personalized search result diversification via structured learning. KDD Shangsong Liang, Zhaochun Ren, Maarten de Rijke
2014	A	`conf`	The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. ECIR Shangsong Liang, Zhaochun Ren, Maarten de Rijke
2014	A	`conf`	Time-Aware Rank Aggregation for Microblog Search. CIKM Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke
2014	A	`conf`	Time-sensitive Personalized Query Auto-Completion. CIKM Fei Cai, Shangsong Liang, Maarten de Rijke
2013	A*	`conf`	Finding knowledgeable groups in enterprise corpora. SIGIR Shangsong Liang, Maarten de Rijke
2013	A	`conf`	Late Data Fusion for Microblog Search. ECIR Shangsong Liang, Maarten de Rijke, Manos Tsagkias
2013	A*	`conf`	Personalized time-aware tweets summarization. SIGIR Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke
2010	—	`conf`	A Multi-Descriptor, Multi-Nearest Neighbor Approach for Image Classification. ICIC (1) Dongjian He, Shangsong Liang, Yong Fang
2009	—	`conf`	Blind-Road Location and Recognition in Natural Scene. CSIE (5) Jinglei Tang, Xu Jing, Dongjian He, Shangsong Liang