Likang Wu
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PhD Student We contribute to the research of large language models, including the first LLM4Rec survey and repo. I have rich industry cooperation experience. Whether you are a scholar or an industry team, if you are interested in our work or want to cooperate, please feel free to contact us ( wulk(at)mail.ustc.edu.cn ) at any time. |
Research Interests:
- Data Mining
- Deep Learning
- Large Language Model
- Graph Representation
- Knowledge Graph
Publications:
- Likang Wu, Zhi Li, Hongke Zhao, Zhenya Huang, Yongqiang Han, Junji Jiang, Enhong Chen, Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation, IEEE TKDE,2024 (CCF A)
- Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen, Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations, AAAI 2024 (CCF A)
- 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, arxiv, 2023
- Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai et al, Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation, KDD 2023 (CCF A)
- Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Mengdi Zhang, Defu Lian, Enhong Chen, KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification, IJCAI 2023 (CCF A).
- 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 Transactions on Knowledge Discovery from Data (ACM TKDD) (CCF B).
- Junji Jiang, Likang Wu (Co-first author), Hongke Zhao, Hengshu Zhu, Wei Zhanga, Forecasting movements of stock time series based on hidden state guided deep learning approach, Information Processing & Management (IPM)(JCR Q1, CCF B).
- Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Lei Yu, Zaixi Zhang, Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense, AAAI 2023 (CCF A).
- Zhikang Mo, Qixiang Shao, Likang Wu, Runlong Yu, Qi Liu, J Xu, Hongmei Song, Enhong Chen, TGNN: A GNN-Based Method with Multi-entity Node for Personal Banking Time Prediction, CINT 2022.
- Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma, Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction, SIGIR 2022 (CCF A).
- Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen, Modeling Market Evolution for Start-up Projects in an Environment Graph Perspective. Pattern Recognition Journal, 2021 (JCR Q1, CCF B).
- Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu et al, Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure, SIGIR 2021 (CCF A).
- Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Mengdi Zhang, Enhong Chen, Learning the Implicit Semantic Representation on Graph-Structured Data. DASFAA 2021 (CCF B), oral.
- Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei, Learning the Compositional Visual Coherence for Complementary Recommendations. IJCAI 2020 (CCF A).
- 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 (CCF A), oral (5%).
- Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Qi Liu, Enhong Chen et al, Long-term Joint Scheduling for Urban Traffic. KDD CUP 2019, Regular Machine Learning track.
- Hongke Zhao, Likang Wu (first student author), Zhi Li, Xi Zhang, Qi Liu, Enhong Chen, Predicting the Dynamics in Internet Finance Based on Deep Neural Network Structure. Journal of Computer Research and Development (CCF A Chinese Journal), 2019 (in Chinese), Top 10 Papers Highly Cited in Journal of Computer Research and Development 2019.
- Some papers are Under Review.
Experience:
- Jan. 2022 - Present, Research Assistant, Graph Projects with Meituan and Huawei
- March. 2023 - Sept. 2023, Internship in BOSS Zhipin, Beijing, China, Topic: Large Language Models for Recommendation
- Jun. 2020 - Sept. 2020, Internship in Ant Group (Alipay), Hangzhou, China, Topic: Ensemble Algorithms for Unsupervised Anomaly Detection
- Aug. 2019 - Dec. 2021, Research Assistant, Hefei, China, National Key R&D Program of China, BigKE: Knowledge Engineering with Big Data
- Apr. 2019 - July. 2019, KDD CUP 2019, Context-aware Multi-modal Transportation
- Sept. 2018 - Nov. 2018, Teaching Assistant, Hefei, China, USTC Undergraduate Course, Introduction to Data Science
- May. 2018 - Aug. 2018, Kuaishou 2018 User Interest Modeling Competition
Education:
- University of Science and Technology of China, Master and PhD, Sept. 2018 - present
- Northwest A&F University, Bachelor, Sept. 2014 - Jun. 2018
Honors and Awards:
- National Scholarship of PhD Students, Oct. 2023
- Global Digital Scholarship, Dec. 2022
- Top 10 Papers Highly Cited in Journal of Computer Research and Development, 2019, Dec. 2020
- National Scholarship of Graduate Students, Oct. 2020
- KDD CUP 2019 Regular ML Track PaddlePaddle Special Award(Top 2, $4000), Aug. 2019
- First-class Academic Scholarship for Excellent Graduate Students, Sept. 2018 - present
- Kuaishou 2018 User Interest Modeling Competition, Winning Prize(top 2%), Aug. 2018
- National Group Programming Ladder Tournament, Top Competition Track, Second Prize, Mar. 2017
- The ACM/ICPC Asia Regional Contest, Dalian Site, Bronze Medal, Oct. 2016
- National Scholarship of Undergraduate Students, Nov. 2015
- First-class Academic Scholarship for Excellent Undergraduate Students Sept. 2015, 2016
Professional Activities:
- Conference Program Committee (PC): SIGIR 2024, WWW 2024, IJCAI 2024, KDD 2023, SIGIR 2023, IJCAI 2023, CICAI 2022, etc
- Journal Reviewer: IEEE TKDE, IEEE TNNLS, IPM, Frontiers of Computer Science, etc
Contact:
Email: wulk(at)mail.ustc.edu.cn
Address: University of Science and Technology of China, 443 Huangshan Road, Hefei, Anhui 230027, China