KGWD: Knowledge Graph Based Wide & Deep Framework for Recommendation. - Kemeng Liu; Zhonghong Ou; Yanxin Tan; Kai Zhao 009; Meina Song (APWeb/WAIM (1), 2020)

Tweet Stance Detection: A Two-stage DC-BILSTM Model Based on Semantic Attention. - Yuanyu Yang; Bin Wu 001; Kai Zhao 009; Wenying Guo (DSC, 2020)

Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. - Kai Zhao 009; Ting Bai; Bin Wu 001; Bai Wang 001; Youjie Zhang; Yuanyu Yang; Jian-Yun Nie (WWW, 2020)

Disentangled-based Adversarial Network for Multiplex Network Embedding. - Shimeng Zhan; Nianwen Ning; Kai Zhao 009; Lianwei Li; Bin Wu 001; Bai Wang 001 (IJCNN, 2021)

Multiplex Network Embedding Model with High-Order Node Dependence. - Nianwen Ning; Qiuyue Li; Kai Zhao 009; Bin Wu 001 (Complex., 2021)

Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. - Kai Zhao 009; Yukun Zheng; Tao Zhuang; Xiang Li 107; Xiaoyi Zeng (WSDM, 2022)

A Pattern Discovery Approach to Multivariate Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (CoRR, 2022)

Weakly Guided Adaptation for Robust Time Series Forecasting. - Yunyao Cheng 001; Peng Chen 038; Chenjuan Guo; Kai Zhao 009; Qingsong Wen; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2023)

Multiple Time Series Forecasting with Dynamic Graph Modeling. - Kai Zhao 009; Chenjuan Guo; Yunyao Cheng 001; Peng Han 005; Miao Zhang; Bin Yang 002 (Proc. VLDB Endow., 2023)

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. - Yihang Wang 004; Yuying Qiu; Peng Chen 038; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. - Shiyan Hu 004; Kai Zhao 009; Xiangfei Qiu; Yang Shu 001; Jilin Hu; Bin Yang 002; Chenjuan Guo (CoRR, 2024)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. - Kai Zhao 009; Zhihao Zhuang; Chenjuan Guo; Hao Miao 001; Yunyao Cheng 001; Bin Yang 002 (CoRR, 2024)

A Memory Guided Transformer for Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Bin Yang 002; Haomin Yu; Kai Zhao 009; Christian S. Jensen (Proc. VLDB Endow., 2024)

Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. - Zhihao Zhuang; Yingying Zhang; Kai Zhao 009; Chenjuan Guo; Bin Yang 002; Qingsong Wen; Lunting Fan (Proc. VLDB Endow., 2024)

Enhancing Diversity for Data-free Quantization. - Kai Zhao 009; Zhihao Zhuang; Miao Zhang; Chenjuan Guo; Yang Shu 001; Bin Yang 002 (CVPR, 2025)

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. - Qichao Shentu; Beibu Li; Kai Zhao 009; Yang Shu 001; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (ICLR, 2025)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. - Peng Chen 038; Yihang Wang 004; Yang Shu 001; Yunyao Cheng 001; Kai Zhao 009; Zhongwen Rao; Lujia Pan; Bin Yang 002; Chenjuan Guo (CoRR, 2025)

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. - Yunyao Cheng 001; Chenjuan Guo; Kaixuan Chen 001; Kai Zhao 009; Bin Yang 002; Jiandong Xie; Christian S. Jensen; Feiteng Huang; Kai Zheng 001 (IEEE Trans. Knowl. Data Eng., 2025)