Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation. - Zhuo Li 010; Jiannong Cao 001; Zhongyu Yao; Wengen Li; Yu Yang 012; Jia Wang 009 (CIKM, 2020)

BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools. - Ka Ho Wong; Jiannong Cao 001; Yu Yang 012; Wengen Li; Jia Wang 009; Zhongyu Yao; Suyan Xu; Esther Ahn Chian Ku; Chun On Wong; David Leung (DASFAA (3), 2020)

EPARS: Early Prediction of At-Risk Students with Online and Offline Learning Behaviors. - Yu Yang 012; Zhiyuan Wen; Jiannong Cao 001; Jiaxing Shen; Hongzhi Yin; Xiaofang Zhou 001 (DASFAA (2), 2020)

Learning Analytics Based on Multilayer Behavior Fusion. - Yu Yang 012; Jiannong Cao 001; Jiaxing Shen; Ruosong Yang; Zhiyuan Wen (ICBL, 2020)

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications. - Xu Geng; Yilun Jin; Zhengfei Zheng; Yu Yang 012; Yexin Li; Han Tian; Peibo Duan; Leye Wang; Jiannong Cao 001; Hai Yang; Qiang Yang 001; Kai Chen 005 (CoRR, 2021)

Domain Adaptive Pre-trained Model for Mushroom Image Classification. - Yifei Shen; Zhuo Li 010; Yu Yang 012; Jiaxing Shen (ADMA (4), 2023)

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. - Yuhao Zheng; Lian Zhong; Senzhang Wang; Yu Yang 012; Weixi Gu; Junbo Zhang; Jianxin Wang 001 (CIKM, 2023)

Weakly-Supervised Multi-action Offline Reinforcement Learning for Intelligent Dosing of Epilepsy in Children. - Zhuo Li 010; Yifei Shen; Ruiqing Xu; Yu Yang 012; Jiannong Cao 001; Linchun Wu; Qing Wu (DASFAA (4), 2023)

Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach. - Chengyi Ju; Jiannong Cao 001; Yu Yang 012; Zhen-Qun Yang; Ho Man Lee (ICDM (Workshops), 2023)

Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. - Jiaxing Shen; Yulin He; Yunfei Long; Jiaqi Wen; Yanwen Wang 001; Yu Yang 012 (ICDM (Workshops), 2023)

Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution. - Yu Yang 012; Jiannong Cao 001; Milos Stojmenovic; Senzhang Wang; Yiran Cheng; Chun Lum; Zhetao Li (IEEE Trans. Knowl. Data Eng., 2023)

DesPrompt: Personality-descriptive prompt tuning for few-shot personality recognition. - Zhiyuan Wen; Jiannong Cao 001; Yu Yang 012; Haoli Wang; Ruosong Yang; Shuaiqi Liu 002 (Inf. Process. Manag., 2023)

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. - Yu Yang 012; Hongzhi Yin; Jiannong Cao 001; Tong Chen 005; Quoc Viet Hung Nguyen; Xiaofang Zhou 001; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2023)

STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. - Haoli Wang; Jiangnan Xia; Yu Yang 012; Senzhang Wang; Jiannong Cao 001 (DASFAA (1), 2024)

Investigating Learning Behaviors and Intervention Effectiveness of Students with Special Educational Needs. - Xiaoyin Li; Yu Yang 012; Jiannong Cao 001; Zhen-Qun Yang; Kaile Wang; Vincent T. Y. Ng (ICBL, 2024)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. - Yicong Li 001; Yu Yang 012; Jiannong Cao 001; Shuaiqi Liu 002; Haoran Tang; Guandong Xu (KDD, 2024)

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. - Kangzheng Liu; Feng Zhao 003; Yu Yang 012; Guandong Xu (ACM Multimedia, 2024)

Affective- NLI: Towards Accurate and Interpretable Personality Recognition in Conversation. - Zhiyuan Wen; Jiannong Cao 001; Yu Yang 012; Ruosong Yang; Shuaiqi Liu 002 (PerCom, 2024)

Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models. - Zhiyuan Wen; Yu Yang 012; Jiannong Cao 001; Haoming Sun; Ruosong Yang; Shuaiqi Liu 002 (CoRR, 2024)

Personality Analysis from Online Short Video Platforms with Multi-domain Adaptation. - Sixu An; Xiangguo Sun; Yicong Li 001; Yu Yang 012; Guandong Xu (CoRR, 2024)

From References to Insights: Collaborative Knowledge Minigraph Agents for Automating Scholarly Literature Review. - Zhi Zhang 004; Yan Liu 004; Sheng-hua Zhong; Gong Chen 006; Yu Yang 012; Jiannong Cao 001 (CoRR, 2024)

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales. - Hanchen Yang; Yuwei Chen; Jiannong Cao 001; Wengen Li; Yu Yang 012; Shuyu Wang; Jihong Guan; Rufu Qin; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. - Jiangnan Xia; Yu Yang 012; Senzhang Wang; Hongzhi Yin; Jiannong Cao 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. - Yicong Li 001; Xiangguo Sun; Hongxu Chen 002; Sixiao Zhang; Yu Yang 012; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

FairTP: A Prolonged Fairness Framework for Traffic Prediction. - Jiangnan Xia; Yu Yang 012; Jiaxing Shen; Senzhang Wang; Jiannong Cao 001 (AAAI, 2025)

Mixture of Knowledge Minigraph Agents for Literature Review Generation. - Zhi Zhang 004; Yan Liu 004; Sheng-hua Zhong; Gong Chen 006; Yu Yang 012; Jiannong Cao 001 (AAAI, 2025)

Collaborative Imputation of Urban Time Series through Cross-city Meta-learning. - Tong Nie; Wei Ma; Jian Sun; Yu Yang 012; Jiannong Cao 001 (CoRR, 2025)

Data-Efficient Model for Psychological Resilience Prediction based on Neurological Data. - Zhi Zhang 004; Yan Liu 004; Mengxia Gao; Yu Yang 012; Jiannong Cao 001; Wai Kai Hou; Shirley Li; Sonata Yau; Yun Kwok Wing; Tatia M. C. Lee (CoRR, 2025)

Modeling Behavior Change for Multi-model At-Risk Students Early Prediction (extended version). - Jiabei Cheng; Zhen-Qun Yang; Jiannong Cao 001; Yu Yang 012; Kai Cheung Franky Poon; Daniel Lai (CoRR, 2025)

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach. - Jiabei Cheng; Zhen-Qun Yang; Jiannong Cao 001; Yu Yang 012; Xinzhe Zheng 002 (CoRR, 2025)

Multistage Graph Convolutional Network With Spatial Attention for Multivariate Time Series Imputation. - Qianyi Chen; Jiannong Cao 001; Yu Yang 012; Wanyu Lin; Sumei Wang; Youwu Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems. - Beichen Guo; Zhiyuan Wen; Yu Yang 012; Peng Gao; Ruosong Yang; Jiaxing Shen (CoRR, 2025)