Long-term Joint Scheduling for Urban Traffic. - Xianfeng Liang; Likang Wu; Joya Chen; Yang Liu 278; Runlong Yu; Min Hou; Han Wu 002; Yuyang Ye 002; Qi Liu 003; Enhong Chen (CoRR, 2019)

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhen Pan; Qi Liu 003; Enhong Chen (AAAI, 2020)

Learning the Compositional Visual Coherence for Complementary Recommendations. - Zhi Li 057; Bo Wu 018; Qi Liu 003; Likang Wu; Hongke Zhao; Tao Mei 001 (IJCAI, 2020)

Learning the Implicit Semantic Representation on Graph-Structured Data. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Jun Wang 120; Mengdi Zhang 002; Enhong Chen (DASFAA (1), 2021)

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. - Yixiao Ma; Shiwei Tong; Ye Liu 011; Likang Wu; Qi Liu 003; Enhong Chen; Wei Tong; Zi Yan (SIGIR, 2021)

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. - Likang Wu; Hao Wang 076; Enhong Chen; Zhi Li 057; Hongke Zhao; Jianhui Ma (SIGIR, 2022)

Estimating fund-raising performance for start-up projects from a market graph perspective. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Enhong Chen (Pattern Recognit., 2022)

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. - Yang Yu 001; Qi Liu 003; Likang Wu; Runlong Yu; Sanshi Lei Yu; Zaixi Zhang (AAAI, 2023)

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. - Junji Jiang; Hongke Zhao; Ming He; Likang Wu; Kai Zhang 038; Jianping Fan 007 (CIKM, 2023)

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Xiang Xu; Likang Wu; Sirui Zhao; Wei Guo 006; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CIKM, 2023)

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Yongqiang Han; Likang Wu; Hao Wang 076; Guifeng Wang; Mengdi Zhang 002; Zhi Li 057; Defu Lian; Enhong Chen (DASFAA (2), 2023)

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. - Likang Wu; Junji Jiang; Hongke Zhao; Hao Wang 076; Defu Lian; Mengdi Zhang 002; Enhong Chen (IJCAI, 2023)

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhefeng Wang 001; Qi Liu 003; Baoxing Huai; Nicholas Jing Yuan; Enhong Chen (KDD, 2023)

Generative Job Recommendations with Large Language Model. - Zhi Zheng 008; Zhaopeng Qiu; Xiao Hu; Likang Wu; Hengshu Zhu; Hui Xiong 001 (CoRR, 2023)

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. - Likang Wu; Hongke Zhao; Zhi Li 057; Zhenya Huang; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2023)

Forecasting movements of stock time series based on hidden state guided deep learning approach. - Junji Jiang; Likang Wu; Hongke Zhao; Hengshu Zhu; Wei Zhang 026 (Inf. Process. Manag., 2023)

Multi-view enhanced zero-shot node classification. - Jiahui Wang; Likang Wu; Hongke Zhao; Ning Jia (Inf. Process. Manag., 2023)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. - Wenshuo Chao; Zhaopeng Qiu; Likang Wu; Zhuoning Guo; Zhi Zheng 008; Hengshu Zhu; Hao Liu 026 (AAAI, 2024)

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. - Likang Wu; Zhaopeng Qiu; Zhi Zheng 008; Hengshu Zhu; Enhong Chen (AAAI, 2024)

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. - Zhijun Dong; Likang Wu; Kai Zhang 038; Ye Liu 011; Yanghai Zhang; Zhi Li 057; Hongke Zhao; Enhong Chen (CIKM, 2024)

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. - Xianquan Wang; Likang Wu; Shukang Yin; Zhi Li 057; Yanjiang Chen; Hufeng Hufeng; Yu Su 002; Qi Liu 003 (EMNLP, 2024)

Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective. - Runqi Yang; Liu Yu; Zhi Li 057; Shaohui Li; Likang Wu (IJCNN, 2024)

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Likang Wu; Bing Lv; Zheng Zhang 048 (SIGIR, 2024)

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (WWW, 2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition. - Shiwei Wu; Chao Zhang; Joya Chen; Tong Xu 001; Likang Wu; Yao Hu 002; Enhong Chen (CoRR, 2024)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianpin Fan (CoRR, 2024)

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling. - Zhong Guan; Hongke Zhao; Likang Wu; Ming He; Jianpin Fan (CoRR, 2024)

Dr.E Bridges Graphs with Large Language Models through Words. - Zipeng Liu; Likang Wu; Ming He; Zhong Guan; Hongke Zhao; Nan Feng (CoRR, 2024)

LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation. - Hongke Zhao; Songming Zheng; Likang Wu; Bowen Yu; Jing Wang (CoRR, 2024)

An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation. - Jun Wang; Likang Wu; Qi Liu; Yu Yang (CoRR, 2024)

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts. - Xinyu Li; Chuang Zhao 002; Hongke Zhao; Likang Wu; Ming He (CoRR, 2024)

Team formation in large organizations: A deep reinforcement learning approach. - Bing Lv; Junji Jiang; Likang Wu; Hongke Zhao (Decis. Support Syst., 2024)

GTR: An explainable Graph Topic-aware Recommender for scholarly document. - Ping Ni; Xianquan Wang; Bing Lv; Likang Wu (Electron. Commer. Res. Appl., 2024)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction. - Lei Zhang 060; Wuji Zhang; Likang Wu; Ming He; Hongke Zhao (ACM Trans. Web, 2024)

A survey on large language models for recommendation. - Likang Wu; Zhi Zheng 008; Zhaopeng Qiu; Hao Wang 076; Hongchao Gu; Tingjia Shen; Chuan Qin 002; Chen Zhu 003; Hengshu Zhu; Qi Liu 003; Hui Xiong 001; Enhong Chen (World Wide Web (WWW), 2024)

Caption matters: a new perspective for knowledge-based visual question answering. - Bin Feng; Shulan Ruan; Likang Wu; Huijie Liu; Kai Zhang 038; Kun Zhang 015; Qi Liu 003; Enhong Chen (Knowl. Inf. Syst., 2024)

Multi-View Empowered Structural Graph Wordification for Language Models. - Zipeng Liu; Likang Wu; Ming He; Zhong Guan; Hongke Zhao; Nan Feng (AAAI, 2025)

Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective. - Xianquan Wang; Likang Wu; Zhi Li 057; Haitao Yuan 002; Shuanghong Shen; Huibo Xu; Yu Su 002; Chenyi Lei (KDD (1), 2025)

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction. - Liping Liu; Chunhong Zhang; Likang Wu; Chuang Zhao 002; Zheng Hu 001; Ming He; Jianping Fan 007 (NAACL (Long Papers), 2025)

Enhancing Code Search Intent with Programming Context Exploration. - Yanmin Dong; Zhenya Huang; Zheng Zhang 048; Guanhao Zhao; Likang Wu; Hongke Zhao; Binbin Jin; Qi Liu 003 (WSDM, 2025)

Exploring the interpretability of Vision GCN with a multi-method approach. - Hongke Zhao; Yuanpei Sui; Likang Wu (Expert Syst. Appl., 2025)

Knowledge enhanced graph contrastive learning for match outcome prediction. - Junji Jiang; Likang Wu; Zhipeng Hu; Runze Wu 001; Xudong Shen; Hongke Zhao (Inf. Process. Manag., 2025)

An efficient continuous control perspective for reinforcement-learning-based sequential recommendation. - Jun Wang 120; Likang Wu; Qi Liu 003; Yu Yang 001 (Knowl. Based Syst., 2025)

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm. - Qingyang Mao; Zhi Li 057; Qi Liu 003; Likang Wu; Hefu Zhang; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2025)

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianping Fan 007 (CoRR, 2025)

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching. - Huibo Xu; Runlong Yu; Likang Wu; Xianquan Wang; Qi Liu 003 (CoRR, 2025)

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting. - Huibo Xu; Likang Wu; Xianquan Wang; Haoning Dang; Chun-Wun Cheng; Angelica I. Avilés-Rivero; Qi Liu (CoRR, 2025)

GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction. - Lei Zhang 060; Wuji Zhang; Likang Wu; Hongke Zhao (IEEE Trans. Knowl. Data Eng., 2025)

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. - Zhong Guan; Likang Wu; Hongke Zhao; Ming He; Jianping Fan 007 (IEEE Trans. Knowl. Data Eng., 2025)

Multi-Objective Graph Contrastive Learning for Recommendation. - Lei Zhang 060; Mingren Ke; Likang Wu; Wuji Zhang; Zihao Chen; Hongke Zhao (IEEE Trans. Big Data, 2025)