GraphSANet: A Graph Neural Network and Self Attention Based Approach for Spatial Temporal Prediction in Sensor Network. - He Li 006; Shiyu Zhang; Liangcai Su; Hongjie Huang; Duo Jin; Xuejiao Li (IEEE BigData, 2020)

An Efficient Method for Graph Repartitioning in Distributed Environments. - He Li 006; Yanna Liu; XuHua Wang; Liangcai Su; Hang Yuan; Jae Soo Yoo (IEICE Trans. Inf. Syst., 2020)

DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction. - He Li 006; Shiyu Zhang; Xuejiao Li; Liangcai Su; Hongjie Huang; Duo Jin; Linghao Chen; Jianbin Huang; Jaesoo Yoo (SIGSPATIAL/GIS, 2021)

BARS: Towards Open Benchmarking for Recommender Systems. - Jieming Zhu; Quanyu Dai; Liangcai Su; Rong Ma; Jinyang Liu 002; Guohao Cai; Xi Xiao; Rui Zhang 003 (SIGIR, 2022)

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. - Yi Li; Jieming Zhu; Weiwen Liu; Liangcai Su; Guohao Cai; Qi Zhang 001; Ruiming Tang; Xi Xiao; Xiuqiang He 001 (WWW (Companion Volume), 2022)

Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction. - He Li 006; Xuejiao Li; Liangcai Su; Duo Jin; Jianbin Huang; Deshuang Huang (ACM Trans. Intell. Syst. Technol., 2022)

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. - Kelong Mao; Jieming Zhu; Liangcai Su; Guohao Cai; Yuru Li; Zhenhua Dong (AAAI, 2023)

A Simple yet Strong Approach for Installation Prediction in ShareChat Ads. - Xiaoteng Shen; Liangcai Su; Zhutian Lin; Xi Xiao (RecSys Challenge, 2023)

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. - Liangcai Su; Fan Yan; Jieming Zhu; Xi Xiao; Haoyi Duan; Zhou Zhao 001; Zhenhua Dong; Ruiming Tang (SIGIR, 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)

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. - Liangcai Su; Junwei Pan; Ximei Wang; Xi Xiao; Shijie Quan; Xihua Chen; Jie Jiang 015 (AAAI, 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 (CIKM, 2024)

Multi-Interest Learning for Multi-Modal Paper Recommendation. - Xiaoteng Shen; Liangcai Su; Xi Xiao; Yi Li (ICASSP, 2024)

Invisibility Cloak: Proactive Defense Against Visual Game Cheating. - Chenxin Sun; Kai Ye; Liangcai Su; Jiayi Zhang; Chenxiong Qian (USENIX Security Symposium, 2024)

A Survey of Generative Techniques for Spatial-Temporal Data Mining. - Qianru Zhang; Haixin Wang 003; Cheng Long 001; Liangcai Su; Xingwei He 003; Jianlong Chang; Tailin Wu; Hongzhi Yin; Siu-Ming Yiu; Qi Tian 001; Christian S. Jensen (CoRR, 2024)

CONGRA: Benchmarking Automatic Conflict Resolution. - Qingyu Zhang; Liangcai Su; Kai Ye; Chenxiong Qian (CoRR, 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., 2024)

How Far Are We from True Unlearnability? - Kai Ye; Liangcai Su; Chenxiong Qian (ICLR, 2025)