Liangcai Su

According to our database, Liangcai Su authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Network Based Iterative Learning Control for Dynamic Hysteresis and Uncertainties in Magnetic Shape Memory Alloy Actuator.

Miaolei Zhou, Liangcai Su, Chen Zhang, Luming Liu, Yewei Yu, Xiuyu Zhang, Chun-Yi Su

IEEE Trans. Circuits Syst. I Regul. Pap., June, 2024

CONGRA: Benchmarking Automatic Conflict Resolution.

Qingyu Zhang, Liangcai Su, Kai Ye, Chenxiong Qian

CoRR, 2024

A Survey of Generative Techniques for Spatial-Temporal Data Mining.

Qianru Zhang, Haixin Wang, Cheng Long, Liangcai Su, Xingwei He, Jianlong Chang, Tailin Wu, Hongzhi Yin, Siu-Ming Yiu, Qi Tian, Christian S. Jensen

CoRR, 2024

Invisibility Cloak: Proactive Defense Against Visual Game Cheating.

Chenxin Sun, Kai Ye, Liangcai Su, Jiayi Zhang, Chenxiong Qian

Proceedings of the 33rd USENIX Security Symposium, 2024

Multi-Interest Learning for Multi-Modal Paper Recommendation.

Xiaoteng Shen, Liangcai Su, Xi Xiao, Yi Li

Proceedings of the IEEE International Conference on Acoustics, 2024

ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance.

Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.

Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data-Driven Adaptive Control With Hopfield Neural Network-Based Estimator for Piezo-Actuated Stage With Unknown Hysteresis Input.

Miaolei Zhou, Yuhe Zhang, Yifan Wang, Yewei Yu, Liangcai Su, Xiuyu Zhang, Chun-Yi Su

IEEE Trans. Instrum. Meas., 2023

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.

Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Simple yet Strong Approach for Installation Prediction in ShareChat Ads.

Xiaoteng Shen, Liangcai Su, Zhutian Lin, Xi Xiao

Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction.

Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction.

He Li, Xuejiao Li, Liangcai Su, Duo Jin, Jianbin Huang, Deshuang Huang

ACM Trans. Intell. Syst. Technol., 2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.

Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

BARS: Towards Open Benchmarking for Recommender Systems.

Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction.

He Li, Shiyu Zhang, Xuejiao Li, Liangcai Su, Hongjie Huang, Duo Jin, Linghao Chen, Jianbin Huang, Jaesoo Yoo

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

An Efficient Method for Graph Repartitioning in Distributed Environments.

He Li, Yanna Liu, XuHua Wang, Liangcai Su, Hang Yuan, Jae Soo Yoo

IEICE Trans. Inf. Syst., 2020

GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network.

He Li, Shiyu Zhang, Liangcai Su, Hongjie Huang, Duo Jin, Xuejiao Li

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020