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2020 – today
- 2024
[j4]Miaolei Zhou
, Liangcai Su, Chen Zhang, Luming Liu, Yewei Yu, Xiuyu Zhang, Chun-Yi Su:
Neural Network Based Iterative Learning Control for Dynamic Hysteresis and Uncertainties in Magnetic Shape Memory Alloy Actuator. IEEE Trans. Circuits Syst. I Regul. Pap. 71(6): 2885-2896 (2024)- [c10]Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI 2024: 9002-9010 - [c9]Xiaoteng Shen, Liangcai Su, Xi Xiao, Yi Li:
Multi-Interest Learning for Multi-Modal Paper Recommendation. ICASSP 2024: 6925-6929 - [c8]Chenxin Sun, Kai Ye, Liangcai Su, Jiayi Zhang, Chenxiong Qian:
Invisibility Cloak: Proactive Defense Against Visual Game Cheating. USENIX Security Symposium 2024 - [i9]Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen:
A Survey of Generative Techniques for Spatial-Temporal Data Mining. CoRR abs/2405.09592 (2024) - [i8]Qingyu Zhang, Liangcai Su, Kai Ye, Chenxiong Qian:
CONGRA: Benchmarking Automatic Conflict Resolution. CoRR abs/2409.14121 (2024) - 2023
- [j3]Miaolei Zhou, Yuhe Zhang, Yifan Wang, Yewei Yu, Liangcai Su, Xiuyu Zhang, Chun-Yi Su:
Data-Driven Adaptive Control With Hopfield Neural Network-Based Estimator for Piezo-Actuated Stage With Unknown Hysteresis Input. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c7]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - [c6]Xiaoteng Shen, Liangcai Su, Zhutian Lin, Xiao Xi:
A Simple yet Strong Approach for Installation Prediction in ShareChat Ads. RecSys Challenge 2023: 39-43 - [c5]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. SIGIR 2023: 548-557 - [i7]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - [i6]Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang:
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR abs/2308.13537 (2023) - [i5]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. CoRR abs/2311.18213 (2023) - [i4]Linghao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu:
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance. CoRR abs/2312.08852 (2023) - 2022
- [j2]He Li, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang, Deshuang Huang:
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction. ACM Trans. Intell. Syst. Technol. 13(2): 19:1-19:21 (2022) - [c4]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR 2022: 2912-2923 - [c3]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) 2022: 62-66 - [i3]Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He:
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR abs/2203.12267 (2022) - [i2]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. CoRR abs/2205.09626 (2022) - 2021
- [c2]He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo:
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. SIGSPATIAL/GIS 2021: 133-136 - [i1]He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo:
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. CoRR abs/2111.00869 (2021) - 2020
- [j1]He Li, Yanna Liu, XuHua Wang, Liangcai Su, Hang Yuan, Jae Soo Yoo:
An Efficient Method for Graph Repartitioning in Distributed Environments. IEICE Trans. Inf. Syst. 103-D(7): 1773-1776 (2020) - [c1]He Li, Shiyu Zhang, Liangcai Su, Hongjie Huang, Duo Jin, Xuejiao Li:
GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network. IEEE BigData 2020: 5756-5758
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