Likang Wu

According to our database, Likang Wu authored at least 74 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Multiparty Multiobjective Optimization for Discrete Problems: A Case Study on Multistakeholder Recommendation.

Lei Zhang, Meng Zhu, Yuanyuan Ge, Haipeng Yang, Likang Wu, Hongke Zhao

IEEE Trans. Evol. Comput., June, 2026

MORA-LLM: Enhancing Multiobjective Optimization Recommendation Algorithm by Integrating Large Language Models.

Yuanyuan Ge, Likang Wu, Haipeng Yang, Fan Cheng, Hongke Zhao, Lei Zhang

IEEE Trans. Evol. Comput., June, 2026

Robust Contrastive Graph Clustering with Adaptive Local-Global Integration.

Lei Zhang, Fubo Sun, Haipeng Yang, Zhong Guan, Likang Wu

CoRR, May, 2026

GCIB: Graph Contrastive Information Bottleneck for Multi-Behavior Recommendation.

Likang Wu, Zihao Chen, Jianxin Zhang, Sangqi Zhu, Yuanyuan Ge, Haipeng Yang, Lei Zhang

CoRR, May, 2026

Missing Old Logits in Asynchronous Agentic RL: Semantic Mismatch and Repair Methods for Off-Policy Correction.

Zhong Guan, Yongjian Guo, Haoran Sun, Wen Huang, Shuai Di, Likang Wu, Xiong Jun Wu, Hongke Zhao

CoRR, May, 2026

From a Social Cognitive Perspective: Context-Aware Visual Social Relationship Recognition.

Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Qimeng Wang, Yan Gao, Yao Hu, Enhong Chen

IEEE Trans. Neural Networks Learn. Syst., April, 2026

Align Sequential Collaborative Signals and Text Semantics for Citation Recommendation: A Hybrid Perspective.

Jiahui Wang, Ning Jia, Likang Wu, Hongke Zhao, Le Wu

ACM Trans. Knowl. Discov. Data, April, 2026

RL-VLA³: Reinforcement Learning VLA Accelerating via Full Asynchronism.

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

CoRR, February, 2026

GANPrompt: Improving LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.

Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He, Jianping Fan

ACM Trans. Inf. Syst., January, 2026

Exploiting large language model with reinforcement learning for generative job recommendations.

Zhi Zheng, Zhaopeng Qiu, Chen Zhu, Xiao Hu, Likang Wu, Yang Song, Hengshu Zhu, Hui Xiong

Frontiers Comput. Sci., January, 2026

Disentangling relational semantics in graph data to summarize entity descriptions.

Jiqian Yang, Zhiding Liu, Zhi Li, Likang Wu, Hu Hu, Hao Wang, Hongke Zhao

Inf. Process. Manag., 2026

Bridging the gap in cross-domain graph anomaly detection: Enhanced source utilization and label accuracy.

Cairui Yan, Xu Cheng, Likang Wu, Yingyuan Xiao, Hongke Zhao, Wenguang Zheng

Inf. Process. Manag., 2026

A progressive layered hybrid expert network with attention routing for multi-task QoS prediction.

Yang Wu, Xu Cheng, Jinyu Wang, Likang Wu, Wenguang Zheng, Yingyuan Xiao

Expert Syst. Appl., 2026

Beyond popularity bias in e-commerce: Aligning collaborative knowledge with large language models via causal intervention for robust recommendations.

Hongke Zhao, Zhichen Xiang, Likang Wu, Yanhong Guo

Decis. Support Syst., 2026

Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations.

Minmao Wang, Xingchen Liu, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang

Proceedings of the ACM Web Conference 2026, 2026

Dynamic Routing-Based Adaptive Multi-LLM Collaboration: A Unified Recommendation Framework with Decision Knowledge Complementation.

Jiale Huang, Yingyuan Xiao, Likang Wu, Xu Cheng, Wenguang Zheng, Qingbo Hao, Ming He, Hongke Zhao

Proceedings of the ACM Web Conference 2026, 2026

TemporalExpertNet: Cross-Temporal Knowledge Reuse for Promotion-Aware CVR Prediction.

Minmao Wang, Rui Zhang, Shijie Yi, Likang Wu, Hongke Zhao, Fei Pan, Qingpeng Cai, Peng Jiang

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation.

Xing Zhang, Xu Cheng, Likang Wu, Yingyuan Xiao, Wenguang Zheng

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation.

Lei Zhang, Zihao Chen, Wuji Zhang, Hongke Zhao, Likang Wu

IEEE Trans. Knowl. Data Eng., December, 2025

Multi-Objective Graph Contrastive Learning for Recommendation.

Lei Zhang, Mingren Ke, Likang Wu, Wuji Zhang, Zihao Chen, Hongke Zhao

IEEE Trans. Big Data, October, 2025

ReInAgent: A Context-Aware GUI Agent Enabling Human-in-the-Loop Mobile Task Navigation.

Haitao Jia, Ming He, Zimo Yin, Likang Wu, Jianping Fan, Jitao Sang

CoRR, October, 2025

Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning.

Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan

IEEE Trans. Knowl. Data Eng., September, 2025

Recall-Extend Dynamics: Enhancing Small Language Models through Controlled Exploration and Refined Offline Integration.

Zhong Guan, Likang Wu, Hongke Zhao, Jiahui Wang, Le Wu

CoRR, August, 2025

GCTN: Graph Competitive Transfer Network for Cross-Domain Multi-Behavior Prediction.

Lei Zhang, Wuji Zhang, Likang Wu, Hongke Zhao

IEEE Trans. Knowl. Data Eng., July, 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, July, 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

CoRR, July, 2025

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm.

Qingyang Mao, Zhi Li, Qi Liu, Likang Wu, Hefu Zhang, Enhong Chen

ACM Trans. Knowl. Discov. Data, January, 2025

An efficient continuous control perspective for reinforcement-learning-based sequential recommendation.

Jun Wang, Likang Wu, Qi Liu, Yu Yang

Knowl. Based Syst., 2025

Knowledge enhanced graph contrastive learning for match outcome prediction.

Junji Jiang, Likang Wu, Zhipeng Hu, Runze Wu, Xudong Shen, Hongke Zhao

Inf. Process. Manag., 2025

Exploring the interpretability of Vision GCN with a multi-method approach.

Hongke Zhao, Yuanpei Sui, Likang Wu

Expert Syst. Appl., 2025

Enhancing Code Search Intent with Programming Context Exploration.

Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Instruct-of-Reflection: Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction.

Liping Liu, Chunhong Zhang, Likang Wu, Chuang Zhao, Zheng Hu, Ming He, Jianping Fan

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective.

Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Chenyi Lei

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting.

Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data.

Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianping Fan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multi-View Empowered Structural Graph Wordification for Language Models.

Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Caption matters: a new perspective for knowledge-based visual question answering.

Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen

Knowl. Inf. Syst., November, 2024

A survey on large language models for recommendation.

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen

World Wide Web (WWW), September, 2024

SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction.

Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao

ACM Trans. Web, February, 2024

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation.

Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2024

GTR: An explainable Graph Topic-aware Recommender for scholarly document.

Ping Ni, Xianquan Wang, Bing Lv, Likang Wu

Electron. Commer. Res. Appl., 2024

Team formation in large organizations: A deep reinforcement learning approach.

Bing Lv, Junji Jiang, Likang Wu, Hongke Zhao

Decis. Support Syst., 2024

GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts.

Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He

CoRR, 2024

An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation.

Jun Wang, Likang Wu, Qi Liu, Yu Yang

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

Dr.E Bridges Graphs with Large Language Models through Words.

Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng

CoRR, 2024

LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling.

Zhong Guan, Hongke Zhao, Likang Wu, Ming He, Jianpin Fan

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

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.

Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen

CoRR, 2024

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

CoRR, 2024

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.

Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen

Proceedings of the ACM on Web Conference 2024, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.

Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective.

Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization.

Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.

Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.

Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-view enhanced zero-shot node classification.

Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia

Inf. Process. Manag., November, 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

Inf. Process. Manag., May, 2023

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.

Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen

ACM Trans. Knowl. Discov. Data, 2023

Generative Job Recommendations with Large Language Model.

Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong

CoRR, 2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.

Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.

Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.

Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2023

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.

Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.

Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.

Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Estimating fund-raising performance for start-up projects from a market graph perspective.

Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen

Pattern Recognit., 2022

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction.

Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.

Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning the Implicit Semantic Representation on Graph-Structured Data.

Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Learning the Compositional Visual Coherence for Complementary Recommendations.

Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.

Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Long-term Joint Scheduling for Urban Traffic.

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

CoRR, 2019