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Yuyang Ye
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2020 – today
- 2024
- [j8]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Timing-Driven Technology Mapping Approximation Based on Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2755-2768 (2024) - [j7]Yuyang Ye, Tinghuan Chen, Zicheng Wang, Hao Yan, Bei Yu, Longxing Shi:
Fast and Accurate Aging-Aware Cell Timing Model via Graph Learning. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 156-160 (2024) - [j6]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) - [c17]Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao:
Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction. ASPDAC 2024: 171-176 - [c16]Guoqing He, Wenjie Ding, Yuyang Ye, Xu Cheng, Qianqian Song, Peng Cao:
An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning. ASPDAC 2024: 177-182 - [c15]Shuaibo Huang, Yuyang Ye, Hao Yan, Longxing Shi:
ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning. ASPDAC 2024: 213-218 - [c14]Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CIKM 2024: 2472-2481 - [c13]Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CIKM 2024: 2660-2670 - [c12]Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan, Longxing Shi:
A Graph-Learning-Driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects. DATE 2024: 1-6 - [c11]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 - [i7]Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi:
Learning-driven Physically-aware Large-scale Circuit Gate Sizing. CoRR abs/2403.08193 (2024) - [i6]Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang:
LLM-enhanced Reranking in Recommender Systems. CoRR abs/2406.12433 (2024) - [i5]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) - [i4]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
- [j5]Qian Chen, Yuyang Ye, Meng Li, Hao Yan, Longxing Shi:
Optimized matrix ordering of sparse linear solver using a few-shot model for circuit simulation. Integr. 93: 102062 (2023) - [j4]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Aging-Aware Critical Path Selection via Graph Attention Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 5006-5019 (2023) - [j3]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) - [c10]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis. ASP-DAC 2023: 547-552 - [c9]Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi:
Fast and Accurate Wire Timing Estimation Based on Graph Learning. DATE 2023: 1-6 - [c8]Yuyang Ye, Zonghui Wang, Zun Xue, Ziqi Wang, Yifei Gao, Hao Yan:
FPGNN-ATPG: An Efficient Fault Parallel Automatic Test Pattern Generator. ACM Great Lakes Symposium on VLSI 2023: 299-304 - [c7]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 - [c6]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 - 2022
- [j2]Longsheng Wei, Yuyang Ye:
Fine-grained action segmentation based on complementary Frame-level Classification Model and Action-wise Regression Model. Displays 74: 102212 (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) - 2021
- [c5]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 - [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) - [i2]Wenzhi Gao, Chunlin Sun, Yuyang Ye, Yinyu Ye:
Boosting Method in Approximately Solving Linear Programming with Fast Online Algorithm. CoRR abs/2107.03570 (2021)
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 - [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
- [c3]Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen:
Multiple Pairwise Ranking with Implicit Feedback. CIKM 2018: 1727-1730 - [c2]Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du:
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. IJCAI 2018: 5052-5059 - 2016
- [c1]Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM 2016: 1023-1028
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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