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2020 – today
- 2024
[j9]Bing Lv
, Junji Jiang, Likang Wu, Hongke Zhao:
Team formation in large organizations: A deep reinforcement learning approach. Decis. Support Syst. 187: 114343 (2024)- [j8]Ping Ni, Xianquan Wang, Bing Lv, Likang Wu:
GTR: An explainable Graph Topic-aware Recommender for scholarly document. Electron. Commer. Res. Appl. 67: 101439 (2024) - [j7]Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen:
Caption matters: a new perspective for knowledge-based visual question answering. Knowl. Inf. Syst. 66(11): 6975-7003 (2024) - [j6]Lei Zhang, Wuji Zhang, Likang Wu, Ming He, Hongke Zhao:
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction. ACM Trans. Web 18(1): 4:1-4:27 (2024) - [j5]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A survey on large language models for recommendation. World Wide Web (WWW) 27(5): 60 (2024) - [c18]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI 2024: 9178-9186 - [c17]Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu:
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. AAAI 2024: 19813-19822 - [c16]Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen:
FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. CIKM 2024: 497-507 - [c15]Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu:
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. EMNLP 2024: 21303-21317 - [c14]Runqi Yang, Liu Yu, Zhi Li, Shaohui Li, Likang Wu:
Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective. IJCNN 2024: 1-9 - [c13]Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang:
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. SIGIR 2024: 2352-2356 - [c12]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [i23]Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu:
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. CoRR abs/2401.17838 (2024) - [i22]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i21]Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen:
From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition. CoRR abs/2406.08358 (2024) - [i20]Zhong Guan, Likang Wu, Hongke Zhao, Ming He, Jianpin Fan:
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning. CoRR abs/2406.13235 (2024) - [i19]Zhong Guan, Hongke Zhao, Likang Wu, Ming He, Jianpin Fan:
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling. CoRR abs/2406.13250 (2024) - [i18]Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao, Nan Feng:
Dr.E Bridges Graphs with Large Language Models through Words. CoRR abs/2406.15504 (2024) - [i17]Hongke Zhao, Songming Zheng, Likang Wu, Bowen Yu, Jing Wang:
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation. CoRR abs/2407.02833 (2024) - [i16]Jun Wang, Likang Wu, Qi Liu, Yu Yang:
An Efficient Continuous Control Perspective for Reinforcement-Learning-based Sequential Recommendation. CoRR abs/2408.08047 (2024) - [i15]Xinyu Li, Chuang Zhao, Hongke Zhao, Likang Wu, Ming He:
GANPrompt: Enhancing Robustness in LLM-Based Recommendations with GAN-Enhanced Diversity Prompts. CoRR abs/2408.09671 (2024) - 2023
- [j4]Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang:
Forecasting movements of stock time series based on hidden state guided deep learning approach. Inf. Process. Manag. 60(3): 103328 (2023) - [j3]Jiahui Wang, Likang Wu, Hongke Zhao, Ning Jia:
Multi-view enhanced zero-shot node classification. Inf. Process. Manag. 60(6): 103479 (2023) - [j2]Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. ACM Trans. Knowl. Discov. Data 17(8): 110:1-110:23 (2023) - [c11]Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. AAAI 2023: 4854-4863 - [c10]Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan:
Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. CIKM 2023: 965-975 - [c9]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c8]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c7]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c6]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [i14]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i13]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i12]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i11]Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong:
Generative Job Recommendations with Large Language Model. CoRR abs/2307.02157 (2023) - [i10]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR abs/2307.05722 (2023) - [i9]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i8]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - 2022
- [j1]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating fund-raising performance for start-up projects from a market graph perspective. Pattern Recognit. 121: 108204 (2022) - [c5]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. SIGIR 2022: 2704-2708 - [i7]Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma:
Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. CoRR abs/2204.08229 (2022) - [i6]Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang:
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. CoRR abs/2212.05399 (2022) - 2021
- [c4]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA (1) 2021: 3-19 - [c3]Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan:
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. SIGIR 2021: 2156-2160 - [i5]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen:
Learning the Implicit Semantic Representation on Graph-Structured Data. CoRR abs/2101.06471 (2021) - [i4]Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen:
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective. CoRR abs/2105.12918 (2021) - 2020
- [c2]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. AAAI 2020: 6396-6403 - [c1]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. IJCAI 2020: 3536-3543 - [i3]Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei:
Learning the Compositional Visual Coherence for Complementary Recommendations. CoRR abs/2006.04380 (2020)
2010 – 2019
- 2019
- [i2]Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen:
Long-term Joint Scheduling for Urban Traffic. CoRR abs/1910.12283 (2019) - [i1]Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen:
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model. CoRR abs/1912.06767 (2019)
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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