| 2023 | Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. | Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2023 | Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction. | Yunfeng Zhao, Xu Yan, Xiaoqiang Gui, Shuguang Han, Xiang-Rong Sheng, Guoxian Yu, Jufeng Chen, Zhao Xu, Bo Zheng |
| 2023 | HST-GT: Heterogeneous Spatial-Temporal Graph Transformer for Delivery Time Estimation in Warehouse-Distribution Integration E-Commerce. | Xiaohui Zhao, Shuai Wang, Hai Wang, Tian He, Desheng Zhang, Guang Wang |
| 2023 | Popularity-aware Distributionally Robust Optimization for Recommendation System. | Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua |
| 2023 | Geometric Graph Learning for Protein Mutation Effect Prediction. | Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao |
| 2023 | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. | Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian |
| 2023 | HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition. | Jin Zhao, Zhixu Li, Yanghua Xiao, Jiaqing Liang, Jingping Liu |
| 2023 | Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition. | Chuang Zhao, Xinyu Li, Ming He, Hongke Zhao, Jianping Fan |
| 2023 | Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification. | Chenyu Zhao, Yunjiang Jiang, Yiming Qiu, Han Zhang, Wen-Yun Yang |
| 2023 | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. | Tianyi Zhao, Hui Hu, Lu Cheng |
| 2023 | COPR: Consistency-Oriented Pre-Ranking for Online Advertising. | Zhishan Zhao, Jingyue Gao, Yu Zhang, Shuguang Han, Siyuan Lou, Xiang-Rong Sheng, Zhe Wang, Han Zhu, Yuning Jiang, Jian Xu, Bo Zheng |
| 2023 | Highly-Optimized Forgetting for Creating Signature-Based Views of Ontologies. | Yizheng Zhao |
| 2023 | Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts. | Moyu Zhang, Xinning Zhu, Chunhong Zhang, Wenchen Qian, Feng Pan, Hui Zhao |
| 2023 | FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction. | Pengtao Zhang, Zheng Zheng, Junlin Zhang |
| 2023 | No Length Left Behind: Enhancing Knowledge Tracing for Modeling Sequences of Excessive or Insufficient Lengths. | Moyu Zhang, Xinning Zhu, Chunhong Zhang, Feng Pan, Wenchen Qian, Hui Zhao |
| 2023 | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. | Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu |
| 2023 | A Co-training Approach for Noisy Time Series Learning. | Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung |
| 2023 | MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction. | Pengtao Zhang, Junlin Zhang |
| 2023 | Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection. | Shijie Zhang, Xin Yan, Xuejiao Yang, Binfeng Jia, Shuangyang Wang |
| 2023 | Knowledge-enhanced Artificial Intelligence in Drug Discovery (KAIDD). | Qingpeng Zhang, Jiannan Yang |
| 2023 | XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters. | Xuanyu Zhang, Qing Yang |
| 2023 | RDGSL: Dynamic Graph Representation Learning with Structure Learning. | Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu |
| 2023 | iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. | Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang |
| 2023 | Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen |