Liangcai Su

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Spatial Temporal

Shape Memory Alloy

Iterative Learning

Top Venues

Publications

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)
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) (2024)
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 (2024)
Xiaoteng Shen, Liangcai Su, Xi Xiao, Yi Li
Multi-Interest Learning for Multi-Modal Paper Recommendation. ICASSP (2024)
Chenxin Sun, Kai Ye, Liangcai Su, Jiayi Zhang, Chenxiong Qian
Invisibility Cloak: Proactive Defense Against Visual Game Cheating. USENIX Security Symposium (2024)
Xiaoteng Shen, Liangcai Su, Zhutian Lin, Xiao Xi
A Simple yet Strong Approach for Installation Prediction in ShareChat Ads. RecSys Challenge (2023)
Ling-Hao 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 (2023)
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 (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR (2023)
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 (2023)
Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI (2023)
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)
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 (2023)
Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
BARS: Towards Open Benchmarking for Recommender Systems. CoRR (2022)
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)
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)
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 (2022)
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) (2022)
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)
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 (2021)
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)