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Runlong Yu
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2020 – today
- 2024
- [j5]Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong:
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. IEEE Trans. Knowl. Data Eng. 36(11): 7255-7267 (2024) - [c16]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. KDD 2024: 6148-6157 - [c15]Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Evolution-Based Feature Selection for Predicting Dissolved Oxygen Concentrations in Lakes. PPSN (4) 2024: 398-415 - [i9]Runlong Yu, Robert Ladwig, Xiang Xu, Peijun Zhu, Paul C. Hanson, Yiqun Xie, Xiaowei Jia:
Nature-Guided Cognitive Evolution for Predicting Dissolved Oxygen Concentrations in North Temperate Lakes. CoRR abs/2403.18923 (2024) - [i8]Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen:
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems. CoRR abs/2405.18708 (2024) - [i7]Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong:
PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. CoRR abs/2407.08910 (2024) - [i6]Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong:
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. CoRR abs/2408.09698 (2024) - 2023
- [j4]Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong:
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4047-4061 (2023) - [c14]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 - [c13]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c12]Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. KDD 2023: 3151-3161 - [c11]Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR 2023: 2496-2500 - [i5]Shiyuan Luo, Juntong Ni, Shengyu Chen, Runlong Yu, Yiqun Xie, Licheng Liu, Zhenong Jin, Huaxiu Yao, Xiaowei Jia:
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems. CoRR abs/2311.10255 (2023) - 2022
- [j3]Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu:
Toward intelligent financial advisors for identifying potential clients: A multitask perspective. Big Data Min. Anal. 5(1): 64-78 (2022) - [j2]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen:
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. Knowl. Inf. Syst. 64(7): 1723-1757 (2022) - [j1]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. IEEE Trans. Knowl. Data Eng. 34(6): 2667-2680 (2022) - [c10]Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu:
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation. DASFAA (3) 2022: 213-221 - [c9]Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu:
Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. SIGIR 2022: 2195-2200 - [i4]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
- [c8]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. ICDM 2021: 389-398 - [c7]Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang:
Item Response Ranking for Cognitive Diagnosis. IJCAI 2021: 1750-1756 - [c6]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. PAKDD (2) 2021: 436-447 - [c5]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [i3]Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. CoRR abs/2104.10907 (2021) - 2020
- [i2]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-tech Companies. CoRR abs/2001.08606 (2020)
2010 – 2019
- 2019
- [c4]Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong:
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM 2019: 718-727 - [c3]Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen:
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. ICDM 2019: 1000-1005 - [c2]Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma:
Deep Technology Tracing for High-Tech Companies. ICDM 2019: 1396-1401 - [i1]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) - 2018
- [c1]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen:
Multiple Pairwise Ranking with Implicit Feedback. CIKM 2018: 1727-1730
Coauthor Index
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last updated on 2024-10-23 20:34 CEST by the dblp team
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