| 2023 | User Retention-oriented Recommendation with Decision Transformer. | Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin |
| 2023 | Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching. | Xinping Zhao, Ying Zhang, Qiang Xiao, Yuming Ren, Yingchun Yang |
| 2023 | Cross-domain recommendation via user interest alignment. | Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan |
| 2023 | CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. | Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu |
| 2023 | Disentangled Causal Embedding With Contrastive Learning For Recommender System. | Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai |
| 2023 | Are Mobile Advertisements in Compliance with App's Age Group? | Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John C. Grundy, Li Li |
| 2023 | TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. | Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang |
| 2023 | The Chameleon on the Web: an Empirical Study of the Insidious Proactive Web Defacements. | Rui Zhao |
| 2023 | A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. | Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King |
| 2023 | Word Sense Disambiguation by Refining Target Word Embedding. | Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao |
| 2023 | ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. | Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang |
| 2023 | Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. | Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen |
| 2023 | TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. | Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu |
| 2023 | On Modeling Long-Term User Engagement from Stochastic Feedback. | Guoxi Zhang, Xing Yao, Xuanji Xiao |
| 2023 | An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. | Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li |
| 2023 | TIGER: Temporal Interaction Graph Embedding with Restarts. | Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu |
| 2023 | Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. | Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | Task-Specific Data Augmentation for Zero-shot and Few-shot Stance Detection. | Jiarui Zhang, Shaojuan Wu, Xiaowang Zhang, Zhiyong Feng |
| 2023 | Minimum Topology Attacks for Graph Neural Networks. | Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du |
| 2023 | Encoding Node Diffusion Competence and Role Significance for Network Dismantling. | Jiazheng Zhang, Bang Wang |
| 2023 | Dynalogue: A Transformer-Based Dialogue System with Dynamic Attention. | Rongjunchen Zhang, Tingmin Wu, Xiao Chen, Sheng Wen, Surya Nepal, Ccile Paris, Yang Xiang |
| 2023 | Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. | Ke Zhang, Xiaoqing Wang, Gong Cheng |
| 2023 | LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. | Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2023 | CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. | Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | High-Effort Crowds: Limited Liability via Tournaments. | Yichi Zhang, Grant Schoenebeck |