Blind-Road Location and Recognition in Natural Scene. - Jinglei Tang; Xu Jing; Dongjian He; Shangsong Liang (CSIE (5), 2009)

A Multi-Descriptor, Multi-Nearest Neighbor Approach for Image Classification. - Dongjian He; Shangsong Liang; Yong Fang 001 (ICIC (1), 2010)

Late Data Fusion for Microblog Search. - Shangsong Liang; Maarten de Rijke; Manos Tsagkias (ECIR, 2013)

Finding knowledgeable groups in enterprise corpora. - Shangsong Liang; Maarten de Rijke (SIGIR, 2013)

Personalized time-aware tweets summarization. - Zhaochun Ren; Shangsong Liang; Edgar Meij; Maarten de Rijke (SIGIR, 2013)

Time-sensitive Personalized Query Auto-Completion. - Fei Cai; Shangsong Liang; Maarten de Rijke (CIKM, 2014)

Time-Aware Rank Aggregation for Microblog Search. - Shangsong Liang; Zhaochun Ren; Wouter Weerkamp; Edgar Meij; Maarten de Rijke (CIKM, 2014)

The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. - Shangsong Liang; Zhaochun Ren; Maarten de Rijke (ECIR, 2014)

Personalized search result diversification via structured learning. - Shangsong Liang; Zhaochun Ren; Maarten de Rijke (KDD, 2014)

Personalized document re-ranking based on Bayesian probabilistic matrix factorization. - Fei Cai; Shangsong Liang; Maarten de Rijke (SIGIR, 2014)

Fusion helps diversification. - Shangsong Liang; Zhaochun Ren; Maarten de Rijke (SIGIR, 2014)

Hierarchical multi-label classification of social text streams. - Zhaochun Ren; Maria-Hendrike Peetz; Shangsong Liang; Willemijn van Dolen; Maarten de Rijke (SIGIR, 2014)

Burst-aware data fusion for microblog search. - Shangsong Liang; Maarten de Rijke (Inf. Process. Manag., 2015)

Dynamic Clustering of Streaming Short Documents. - Shangsong Liang; Emine Yilmaz; Evangelos Kanoulas (KDD, 2016)

Explainable User Clustering in Short Text Streams. - Yukun Zhao; Shangsong Liang; Zhaochun Ren; Jun Ma 001; Emine Yilmaz; Maarten de Rijke (SIGIR, 2016)

Personalized Re-ranking of Tweets. - Yukun Zhao; Shangsong Liang; Jun Ma 001 (WISE (2), 2016)

Formal language models for finding groups of experts. - Shangsong Liang; Maarten de Rijke (Inf. Process. Manag., 2016)

Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. - Fei Cai; Shangsong Liang; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2016)

Efficient Structured Learning for Personalized Diversification. - Shangsong Liang; Fei Cai; Zhaochun Ren; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2016)

Collaborative User Clustering for Short Text Streams. - Shangsong Liang; Zhaochun Ren; Emine Yilmaz; Evangelos Kanoulas (AAAI, 2017)

Social Collaborative Viewpoint Regression with Explainable Recommendations. - Zhaochun Ren; Shangsong Liang; Piji Li; Shuaiqiang Wang; Maarten de Rijke (WSDM, 2017)

Summarizing Answers in Non-Factoid Community Question-Answering. - Hongya Song; Zhaochun Ren; Shangsong Liang; Piji Li; Jun Ma 001; Maarten de Rijke (WSDM, 2017)

A Concept Language Model for Ad-hoc Retrieval. - Bin Zou 006; Vasileios Lampos; Shangsong Liang; Zhaochun Ren; Emine Yilmaz; Ingemar J. Cox (WWW (Companion Volume), 2017)

Inferring Dynamic User Interests in Streams of Short Texts for User Clustering. - Shangsong Liang; Zhaochun Ren; Yukun Zhao; Jun Ma 001; Emine Yilmaz; Maarten de Rijke (ACM Trans. Inf. Syst., 2017)

Search Result Diversification in Short Text Streams. - Shangsong Liang; Emine Yilmaz; Hong Shen 001; Maarten de Rijke; W. Bruce Croft (ACM Trans. Inf. Syst., 2017)

Dynamic User Profiling for Streams of Short Texts. - Shangsong Liang (AAAI, 2018)

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin (CIKM, 2018)

Dynamic Embeddings for User Profiling in Twitter. - Shangsong Liang; Xiangliang Zhang 001; Zhaochun Ren; Evangelos Kanoulas (KDD, 2018)

Manifold Learning for Rank Aggregation. - Shangsong Liang; Ilya Markov; Zhaochun Ren; Maarten de Rijke (WWW, 2018)

Ranking-based Method for News Stance Detection. - Qiang Zhang 026; Emine Yilmaz; Shangsong Liang (WWW (Companion Volume), 2018)

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation. - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao 002; Dawei Yin (CoRR, 2018)

Neural Variational Hybrid Collaborative Filtering. - Teng Xiao; Shangsong Liang; Hong Shen 001; Zaiqiao Meng (CoRR, 2018)

Variational Self-attention Model for Sentence Representation. - Qiang Zhang 026; Shangsong Liang; Emine Yilmaz (CoRR, 2018)

Collaborative, Dynamic and Diversified User Profiling. - Shangsong Liang (AAAI, 2019)

Bayesian Deep Collaborative Matrix Factorization. - Teng Xiao; Shangsong Liang; Weizhou Shen; Zaiqiao Meng (AAAI, 2019)

Multi-Order Attentive Ranking Model for Sequential Recommendation. - Lu Yu 006; Chuxu Zhang; Shangsong Liang; Xiangliang Zhang 001 (AAAI, 2019)

Constrained Co-embedding Model for User Profiling in Question Answering Communities. - Yupeng Luo; Shangsong Liang; Zaiqiao Meng (CIKM, 2019)

Dynamic Collaborative Recurrent Learning. - Teng Xiao; Shangsong Liang; Zaiqiao Meng (CIKM, 2019)

Dynamic Bayesian Metric Learning for Personalized Product Search. - Teng Xiao; Jiaxin Ren; Zaiqiao Meng; Huan Sun 001; Shangsong Liang (CIKM, 2019)

ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation. - Jing Song; Hong Shen 001; Zijing Ou; Junyi Zhang 001; Teng Xiao; Shangsong Liang (IJCAI, 2019)

Semi-supervisedly Co-embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Jinyuan Fang; Teng Xiao (NeurIPS, 2019)

Co-Embedding Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Hongyan Bao; Xiangliang Zhang 001 (WSDM, 2019)

Unsupervised Semantic Generative Adversarial Networks for Expert Retrieval. - Shangsong Liang (WWW, 2019)

Hierarchical Neural Variational Model for Personalized Sequential Recommendation. - Teng Xiao; Shangsong Liang; Zaiqiao Meng (WWW, 2019)

From Stances' Imbalance to Their HierarchicalRepresentation and Detection. - Qiang Zhang 026; Shangsong Liang; Aldo Lipani; Zhaochun Ren; Emine Yilmaz (WWW, 2019)

Reply-Aided Detection of Misinformation via Bayesian Deep Learning. - Qiang Zhang 026; Aldo Lipani; Shangsong Liang; Emine Yilmaz (WWW, 2019)

Collaboratively Tracking Interests for User Clustering in Streams of Short Texts. - Shangsong Liang; Emine Yilmaz; Evangelos Kanoulas (IEEE Trans. Knowl. Data Eng., 2019)

BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. - Tianjun Yao; Qing Li; Shangsong Liang; Yadong Zhu (CIKM, 2020)

A Novel Distributed Reinforcement Learning Method for Classical Chinese Poetry Generation. - Liangliang Ma; Hong Shen 001; Shangsong Liang (PDCAT, 2020)

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. - Zaiqiao Meng; Richard McCreadie; Craig Macdonald; Iadh Ounis; Siwei Liu 001; Yaxiong Wu 001; Xi Wang 012; Shangsong Liang; Yucheng Liang; Guangtao Zeng; Junhua Liang; Qiang Zhang 026 (RecSys, 2020)

Addressing Class-Imbalance Problem in Personalized Ranking. - Lu Yu 006; Shichao Pei; Chuxu Zhang; Shangsong Liang; Xiao Bai 002; Xiangliang Zhang 001 (CoRR, 2020)

Recurrent neural variational model for follower-based influence maximization. - Huimin Huang 001; Zaiqiao Meng; Shangsong Liang (Inf. Sci., 2020)

Jointly Learning Representations of Nodes and Attributes for Attributed Networks. - Zaiqiao Meng; Shangsong Liang; Xiangliang Zhang 001; Richard McCreadie; Iadh Ounis (ACM Trans. Inf. Syst., 2020)

Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. - Jinpeng Wang 002; Bin Chen 011; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang; Shutao Xia (AAAI, 2021)

Gaussian Process with Graph Convolutional Kernel for Relational Learning. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Qiang Zhang 026 (KDD, 2021)

Structure-Aware Random Fourier Kernel for Graphs. - Jinyuan Fang; Qiang Zhang 026; Zaiqiao Meng; Shangsong Liang (NeurIPS, 2021)

Variational Continual Bayesian Meta-Learning. - Qiang Zhang 026; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang; Emine Yilmaz (NeurIPS, 2021)

Latent Multi-view Subspace Clustering Based on Schatten-P Norm. - Yuqin Lu; Yilan Fu; Jiangzhong Cao; Shangsong Liang; Wing-kuen Ling (PDCAT, 2021)

Data-Hungry Issue in Personalized Product Search. - Bin Wu; Yuehong Wu; Shangsong Liang (PDCAT, 2021)

Learning Dynamic Embeddings for Temporal Knowledge Graphs. - Siyuan Liao; Shangsong Liang; Zaiqiao Meng; Qiang Zhang 026 (WSDM, 2021)

Constrained Generative Adversarial Networks. - Xiaopeng Chao; Jiangzhong Cao; Yuqin Lu; Qingyun Dai; Shangsong Liang (IEEE Access, 2021)

Semi-Supervised Multi-View Clustering with Weighted Anchor Graph Embedding. - Senhong Wang; Jiangzhong Cao; Fangyuan Lei; Qingyun Dai; Shangsong Liang; Bingo Wing-Kuen Ling (Comput. Intell. Neurosci., 2021)

Learning to Detect Few-Shot-Few-Clue Misinformation. - Qiang Zhang 026; Hongbin Huang; Shangsong Liang; Zaiqiao Meng; Emine Yilmaz (CoRR, 2021)

GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. - Xiaofei Zhu; Ling Zhu; Jiafeng Guo; Shangsong Liang; Stefan Dietze (Expert Syst. Appl., 2021)

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. - Guanzheng Chen; Jinyuan Fang; Zaiqiao Meng; Qiang Zhang 026; Shangsong Liang (AAAI, 2022)

Revisiting Parameter-Efficient Tuning: Are We Really There Yet? - Guanzheng Chen; Fangyu Liu 001; Zaiqiao Meng; Shangsong Liang (EMNLP, 2022)

Meta-Learning Helps Personalized Product Search. - Bin Wu 025; Zaiqiao Meng; Qiang Zhang 026; Shangsong Liang (WWW, 2022)

Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites. - Zhiyong Xiong; Zhaoxiong Yan; Huanan Yao; Shangsong Liang (Inf., 2022)

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. - Shangsong Liang; Zhuo Ouyang; Zaiqiao Meng (ACM Trans. Knowl. Discov. Data, 2022)

Hyperspherical Variational Co-embedding for Attributed Networks. - Jinyuan Fang; Shangsong Liang; Zaiqiao Meng; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. - Shangsong Liang; Yupeng Luo; Zaiqiao Meng (ACM Trans. Inf. Syst., 2022)

Personalized, Sequential, Attentive, Metric-Aware Product Search. - Yaoxin Pan; Shangsong Liang; Jiaxin Ren; Zaiqiao Meng; Qiang Zhang 026 (ACM Trans. Inf. Syst., 2022)

BotSpot++: A Hierarchical Deep Ensemble Model for Bots Install Fraud Detection in Mobile Advertising. - Yadong Zhu; Xiliang Wang; Qing Li; Tianjun Yao; Shangsong Liang (ACM Trans. Inf. Syst., 2022)

Wasserstein Topology Transfer for Joint Distilling Embeddings of Knowledge Graph Entities and Relations. - Jiachen Yu; Yuehong Wu; Shangsong Liang (ACAI, 2023)

A Distribution Preserving Model for Molecular Graph Generation. - Changsheng Ma; Qiang Yang 015; Shangsong Liang; Xin Gao 001 (BIBM, 2023)

Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports. - Dilshod Azizov; Jiyong Li; Hilal AlQuabeh; Shangsong Liang (IEEE Big Data, 2023)

Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. - Dilshod Azizov; Preslav Nakov; Shangsong Liang (CLEF (Working Notes), 2023)

Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation. - Wei Liu 061; Leong Hou U; Shangsong Liang; Huaijie Zhu; Jianxing Yu; Yubao Liu; Jian Yin 001 (DASFAA (2), 2023)

Adaptive Compositional Continual Meta-Learning. - Bin Wu 025; Jinyuan Fang; Xiangxiang Zeng; Shangsong Liang; Qiang Zhang 026 (ICML, 2023)

Leveraging Relational Graph Neural Network for Transductive Model Ensemble. - Zhengyu Hu; Jieyu Zhang 001; Haonan Wang; Siwei Liu 001; Shangsong Liang (KDD, 2023)

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. - Tianjun Yao; Yingxu Wang; Kun Zhang 001; Shangsong Liang (KDD, 2023)

Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models. - Dilshod Azizov; Jiyong Li; Shangsong Liang (ArabicNLP, 2023)

Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification. - Dilshod Azizov; Jiyong Li; Shangsong Liang (ArabicNLP, 2023)

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition. - Jiyong Li; Dilshod Azizov; Hilal AlQuabeh; Shangsong Liang (ArabicNLP, 2023)

Enhancing Conversational Recommendation Systems with Representation Fusion. - Yingxu Wang; Xiaoru Chen; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2023)

Cross-Temporal Snapshot Alignment for Dynamic Networks. - Shangsong Liang; Shaowei Tang; Zaiqiao Meng; Qiang Zhang 026 (IEEE Trans. Knowl. Data Eng., 2023)

Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations. - Zixiao Wang; Shiyang Liang; Siwei Liu 001; Zhaohan Meng; Jingjie Wang; Shangsong Liang (Briefings Bioinform., 2023)

Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. - Bin Wu 025; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2023)

HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction. - Shiyang Liang; Siwei Liu 001; Junliang Song; Qiang Lin; Shihong Zhao; Shuaixin Li; Jiahui Li; Shangsong Liang; Jingjie Wang (BMC Bioinform., 2023)

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation. - Jiyong Li; Dilshod Azizov; Yang Li; Shangsong Liang (AAAI, 2024)

Active Learning for Multi-Class Drug-Drug Interactions Prediction. - Ang Liu; Yafang Huang; Yuehong Wu; Siwei Liu 001; Shangsong Liang (BIBM, 2024)

Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. - Jiasheng Li; Zaiqiao Meng; Shangsong Liang (CVIPPR, 2024)

Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. - Wei Liu 061; Shangsong Liang; Huaijie Zhu; Leong Hou U; Jianxing Yu; Xiang Li 067; Jian Yin 001 (DASFAA (2), 2024)

KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. - Zaiqiao Meng; Shangsong Liang; Xin Xin 003; Gianluca Moro; Evangelos Kanoulas; Emine Yilmaz (ECIR (5), 2024)

SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. - Dilshod Azizov; Zain Muhammad Mujahid; Hilal AlQuabeh; Preslav Nakov; Shangsong Liang (EMNLP (Findings), 2024)

ACTOR: Adapting CLIP for Fully Transformer-based Open-vocabulary Detection. - Zhaopeng Yang; Huan Hao; Shangsong Liang (GAIIS, 2024)

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 026; Keyan Ding (ICANN (8), 2024)

Local and Global: Text Matching Via Syntax Graph Calibration. - Liang Li; Qisheng Liao; Meiting Lai; Di Liang; Shangsong Liang (ICASSP, 2024)

A Property-Guided Diffusion Model For Generating Molecular Graphs. - Changsheng Ma; Taicheng Guo; Qiang Yang 015; Xiuying Chen; Xin Gao 001; Shangsong Liang; Nitesh V. Chawla; Xiangliang Zhang 001 (ICASSP, 2024)

CLEX: Continuous Length Extrapolation for Large Language Models. - Guanzheng Chen; Xin Li 056; Zaiqiao Meng; Shangsong Liang; Lidong Bing (ICLR, 2024)

Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing. - Yanfang Ling; Jiyong Li; Lingbo Li; Shangsong Liang (NeurIPS, 2024)

Heterogeneous biomedical entity representation learning for gene-disease association prediction. - Zhaohan Meng; Siwei Liu 001; Shangsong Liang; Bhautesh Jani; Zaiqiao Meng (Briefings Bioinform., 2024)

Spatial-Aware Multi-Directional Autoencoder For Pre-Training. - Weiwei Yang; Shangsong Liang; Jian Yin 001 (Comput. J., 2024)

Spectral GNN via Two-dimensional (2-D) Graph Convolution. - Guoming Li; Jian Yang 035; Shangsong Liang; Dongsheng Luo (CoRR, 2024)

Elevating Spectral GNNs through Enhanced Band-pass Filter Approximation. - Guoming Li; Jian Yang 035; Shangsong Liang; Dongsheng Luo (CoRR, 2024)

Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. - Tianjun Yao; Yiongxu Wang; Kun Zhang; Shangsong Liang (CoRR, 2024)

Degree Distribution based Spiking Graph Networks for Domain Adaptation. - Yingxu Wang; Siwei Liu 001; Mengzhu Wang; Shangsong Liang; Nan Yin (CoRR, 2024)

DuSEGO: Dual Second-order Equivariant Graph Ordinary Differential Equation. - Yingxu Wang; Nan Yin; Mingyan Xiao; Xinhao Yi; Siwei Liu 001; Shangsong Liang (CoRR, 2024)

A Decade of Deep Learning: A Survey on The Magnificent Seven. - Dilshod Azizov; Muhammad Arslan Manzoor; Velibor Bojkovic; Yingxu Wang; Zixiao Wang; Zangir Iklassov; Kailong Zhao; Liang Li; Siwei Liu 001; Yu Zhong; Wei Liu; Shangsong Liang (CoRR, 2024)

PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction. - Junjian Lu; Siwei Liu 001; Dmitrii Kobylianski; Etienne Dreyer; Eilam Gross; Shangsong Liang (Mach. Learn. Sci. Technol., 2024)

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. - Xiaoru Chen; Yingxu Wang; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dynamic Co-Embedding Model for Temporal Attributed Networks. - Shaowei Tang; Zaiqiao Meng; Shangsong Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. - Muhammad Arslan Manzoor; Sarah Albarri; Ziting Xian; Zaiqiao Meng; Preslav Nakov; Shangsong Liang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. - Jiahang Cao; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Comput. Surv., 2024)

A Survey on Variational Autoencoders in Recommender Systems. - Shangsong Liang; Zhou Pan; Wei Liu 061; Jian Yin 001; Maarten de Rijke (ACM Comput. Surv., 2024)

VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-N Recommendation. - Wei Liu 061; Leong Hou U; Shangsong Liang; Huaijie Zhu; Jianxing Yu; Yubao Liu; Jian Yin 001 (ACM Trans. Knowl. Discov. Data, 2024)

Enhancing Graph Neural Networks via Memorized Global Information. - Ruihong Zeng; Jinyuan Fang; Siwei Liu 001; Zaiqiao Meng; Shangsong Liang (ACM Trans. Web, 2024)

MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction. - Ziting Xian; Jiawei Gu; Lingbo Li; Shangsong Liang (ACL (1), 2025)

ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters. - Guoming Li; Jian Yang 035; Shangsong Liang (ICASSP, 2025)

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. - Teng Xiao; Yige Yuan; Zhengyu Chen 001; Mingxiao Li 004; Shangsong Liang; Zhaochun Ren; Vasant G. Honavar (ICLR, 2025)

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 (NAACL (Long Papers), 2025)

Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach. - Guoming Li; Jian Yang 035; Shangsong Liang; Dongsheng Luo (WWW, 2025)

Improving human activity recognition via graph attention network with linear discriminant analysis and residual learning. - Lingyue Hu; Kailong Zhao; Bingo Wing-Kuen Ling; Shangsong Liang; Yiting Wei (Biomed. Signal Process. Control., 2025)

Editorial. - Djoerd Hiemstra; Ismail Sengor Altingovde; Solomon Atnafu; Daniela Godoy; Ben He; Makoto P. Kato; Shangsong Liang; Haiming Liu 002; Vanessa Murdock 001; Monica Lestari Paramita; Barbara Poblete; Negin Rahimi; et al. (Inf. Retr. Res. J., 2025)

Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively. - Jiawei Gu; Shangsong Liang (CoRR, 2025)

D-SCoRE: Document-Centric Segmentation and CoT Reasoning with Structured Export for QA-CoT Data Generation. - Weibo Zhou; Lingbo Li; Shangsong Liang (CoRR, 2025)

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought. - Ruiyan Qi; Congding Wen; Weibo Zhou; Jiwei Li; Shangsong Liang; Lingbo Li (CoRR, 2025)