Likang Wu

82 papers A* 17A 5B 1Journal 55Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Align Sequential Collaborative Signals and Text Semantics for Citation Recommendation: A Hybrid Perspective.
ACM Trans. Knowl. Discov. Data
Jiahui Wang, Ning Jia, Likang Wu, Hongke Zhao, Le Wu
2026 J jnl
Beyond popularity bias in e-commerce: Aligning collaborative knowledge with large language models via causal intervention for robust recommendations.
Decis. Support Syst.
Hongke Zhao, Zhichen Xiang, Likang Wu, Yanhong Guo
2026 J jnl
Bridging the gap in cross-domain graph anomaly detection: Enhanced source utilization and label accuracy.
Inf. Process. Manag.
Cairui Yan, Xu Cheng, Likang Wu, Yingyuan Xiao, Hongke Zhao, Wenguang Zheng
2026 A* conf
Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation.
WWW
Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, Ming He, Hongke Zhao
2026 J jnl
Exploiting large language model with reinforcement learning for generative job recommendations.
Frontiers Comput. Sci.
Zhi Zheng, Zhaopeng Qiu, Chen Zhu, Xiao Hu, Likang Wu, Yang Song, Hengshu Zhu, Hui Xiong
2026 J jnl
From a Social Cognitive Perspective: Context-Aware Visual Social Relationship Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Qimeng Wang, Yan Gao, Yao Hu, Enhong Chen
2026 J jnl
GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.
ACM Trans. Inf. Syst.
Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He, Jianping Fan
2026 A* conf
Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations.
WWW
Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang
2026 J jnl
RL-VLA
CoRR
Zhong Guan, Haoran Sun, Yongjian Guo, Shuai Di, Xiaodong Bai, Jing Long, Tianyun Zhao, Mingxi Luo, Chen Zhou, Yucheng Guo, Qiming Yang, Wanting Xu, Wen Huang, Yunxuan Ma, Hongke Zhao, Likang Wu, Xiaotie Deng, Xi Xiao, Sheng Wen, Yicheng Gong, Junwu Xiong
2026 A conf
TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction.
WSDM
Minmao Wang, Rui Zhang, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang
2025 J jnl
An efficient continuous control perspective for reinforcement-learning-based sequential recommendation.
Knowl. Based Syst.
Jun Wang, Likang Wu, Qi Liu, Yu Yang
2025 A* conf
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data.
ICML
Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan
2025 J jnl
Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data.
CoRR
Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan
2025 J jnl
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching.
CoRR
Huibo Xu, Runlong Yu, Likang Wu, Xianquan Wang, Qi Liu
2025 A conf
Enhancing Code Search Intent with Programming Context Exploration.
WSDM
Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu
2025 J jnl
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning.
IEEE Trans. Knowl. Data Eng.
Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan
2025 J jnl
Exploring the interpretability of Vision GCN with a multi-method approach.
Expert Syst. Appl.
Hongke Zhao, Yuanpei Sui, Likang Wu
2025 J jnl
GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction.
IEEE Trans. Knowl. Data Eng.
Lei Zhang, Wuji Zhang, Likang Wu, Hongke Zhao
2025 J jnl
GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation.
IEEE Trans. Knowl. Data Eng.
Lei Zhang, Zihao Chen, Wuji Zhang, Hongke Zhao, Likang Wu
2025 J jnl
Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations.
CoRR
Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang
2025 — conf
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction.
NAACL (Long Papers)
Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan
2025 J jnl
Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction.
CoRR
Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan
2025 J jnl
Knowledge enhanced graph contrastive learning for match outcome prediction.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao
2025 — conf
Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective.
KDD (1)
Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Chenyi Lei
2025 J jnl
Multi-Objective Graph Contrastive Learning for Recommendation.
IEEE Trans. Big Data
Lei Zhang, Mingren Ke, Likang Wu, Wuji Zhang, Zihao Chen, Hongke Zhao
2025 A* conf
Multi-View Empowered Structural Graph Wordification for Language Models.
AAAI
Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng
2025 J jnl
NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting.
CoRR
Huibo Xu, Likang Wu, Xianquan Wang, Haoning Dang, Chun-Wun Cheng, Angelica I. Avilés-Rivero, Qi Liu
2025 J jnl
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm.
ACM Trans. Knowl. Discov. Data
Qingyang Mao, Zhi Li, Qi Liu, Likang Wu, Hefu Zhang, Enhong Chen
2025 J jnl
ReInAgent: A Context-Aware GUI Agent Enabling Human-in-the-Loop Mobile Task Navigation.
CoRR
Haitao Jia, Ming He, Zimo Yin, Likang Wu, Jianping Fan, Jitao Sang
2025 J jnl
Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration.
CoRR
Zhong Guan, Likang Wu, Hongke Zhao, Jiahui Wang, Le Wu
2025 A* conf
TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting.
IJCAI
Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu
2024 A* conf
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
AAAI
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
CoRR
Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu
2024 J jnl
A survey on large language models for recommendation.
World Wide Web (WWW)
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2024 J jnl
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation.
CoRR
Jun Wang, Likang Wu, Qi Liu, Yu Yang
2024 J jnl
Caption matters: a new perspective for knowledge-based visual question answering.
Knowl. Inf. Syst.
Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen
2024 A* conf
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
SIGIR
Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang
2024 J jnl
Dr.E Bridges Graphs with Large Language Models through Words.
CoRR
Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng
2024 J jnl
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
CoRR
Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024 A* conf
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.
WWW
Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024 J jnl
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning.
CoRR
Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianpin Fan
2024 A* conf
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
AAAI
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
2024 A conf
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.
CIKM
Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen
2024 J jnl
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.
CoRR
Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen
2024 J jnl
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.
CoRR
Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He
2024 J jnl
GTR: An explainable Graph Topic-aware Recommender for scholarly document.
Electron. Commer. Res. Appl.
Ping Ni, Xianquan Wang, Bing Lv, Likang Wu
2024 A* conf
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization.
EMNLP
Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu
2024 J jnl
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation.
CoRR
Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, Jing Wang
2024 J jnl
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling.
CoRR
Zhong Guan, Hongke Zhao, Likang Wu, Ming He, Jianpin Fan
2024 B conf
Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.
IJCNN
Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu
2024 J jnl
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.
ACM Trans. Web
Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao
2024 J jnl
Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation.
IEEE Trans. Knowl. Data Eng.
Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen
2024 J jnl
Team formation in large organizations: A deep reinforcement learning approach.
Decis. Support Syst.
Bing Lv, Junji Jiang, Likang Wu, Hongke Zhao
2023 J jnl
A Survey on Large Language Models for Recommendation.
CoRR
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2023 A conf
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
CIKM
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023 J jnl
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
CoRR
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023 J jnl
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
CoRR
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
2023 J jnl
Forecasting movements of stock time series based on hidden state guided deep learning approach.
Inf. Process. Manag.
Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang
2023 — conf
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
DASFAA (2)
Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023 J jnl
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.
CoRR
Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023 J jnl
Generative Job Recommendations with Large Language Model.
CoRR
Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong
2023 A* conf
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
IJCAI
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023 J jnl
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.
CoRR
Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023 A conf
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.
CIKM
Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan
2023 J jnl
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data
Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen
2023 J jnl
Multi-view enhanced zero-shot node classification.
Inf. Process. Manag.
Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia
2023 A* conf
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
KDD
Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
2023 J jnl
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
2023 A* conf
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
AAAI
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2022 J jnl
Estimating fund-raising performance for start-up projects from a market graph perspective.
Pattern Recognit.
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
2022 A* conf
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
SIGIR
Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma
2022 J jnl
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.
CoRR
Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma
2022 J jnl
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
CoRR
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2021 A* conf
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.
SIGIR
Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan
2021 J jnl
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
2021 — conf
Learning the Implicit Semantic Representation on Graph-Structured Data.
DASFAA (1)
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2021 J jnl
Learning the Implicit Semantic Representation on Graph-Structured Data.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2020 A* conf
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
AAAI
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
2020 A* conf
Learning the Compositional Visual Coherence for Complementary Recommendations.
IJCAI
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
2020 J jnl
Learning the Compositional Visual Coherence for Complementary Recommendations.
CoRR
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
2019 J jnl
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
2019 J jnl
Long-term Joint Scheduling for Urban Traffic.
CoRR
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen