| 2023 | DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. | Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li |
| 2023 | Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement. | Jingwei Zhao, Gus Xia, Ye Wang |
| 2023 | Genetic Prompt Search via Exploiting Language Model Probabilities. | Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang |
| 2023 | SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. | Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li |
| 2023 | Graph Neural Convection-Diffusion with Heterophily. | Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay |
| 2023 | State-wise Safe Reinforcement Learning: A Survey. | Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu |
| 2023 | STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar? | Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang |
| 2023 | Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection. | Shiman Zhao, Wei Chen, Tengjiao Wang |
| 2023 | Object Detection in Real Open Environment. | Xiaowei Zhao |
| 2023 | Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning. | Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen |
| 2023 | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2023 | Task Allocation on Networks with Execution Uncertainty (Extended Abstract)∗. | Yao Zhang, Xiuzhen Zhang, Dengji Zhao |
| 2023 | On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang |
| 2023 | A Survey on Masked Autoencoder for Visual Self-supervised Learning. | Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon |
| 2023 | Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance. | Zheyu Zhang, Tianping Zhang, Jian Li |
| 2023 | Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. | Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract). | Zheng Zhang, Liang Zhao |
| 2023 | Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning. | Hangtao Zhang, Zeming Yao, Leo Yu Zhang, Shengshan Hu, Chao Chen, Alan Wee-Chung Liew, Zhetao Li |
| 2023 | Multi-level Graph Contrastive Prototypical Clustering. | Yuchao Zhang, Yuan Yuan, Qi Wang |
| 2023 | A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from Diagram. | Ming-Liang Zhang, Fei Yin, Cheng-Lin Liu |
| 2023 | Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition. | Boqiang Zhang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Yongdong Zhang |
| 2023 | Towards an Integrated View of Semantic Annotation for POIs with Spatial and Textual Information. | Dabin Zhang, Ronghui Xu, Weiming Huang, Kai Zhao, Meng Chen |
| 2023 | Spatially Covariant Lesion Segmentation. | Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, Chao Li, Jiahao Li |
| 2023 | Matting Moments: A Unified Data-Driven Matting Engine for Mobile AIGC in Photo Gallery. | Yanhao Zhang, Fanyi Wang, Weixuan Sun, Jingwen Su, Peng Liu, Yaqian Li, Xinjie Feng, Zhengxia Zou |
| 2023 | HOI-aware Adaptive Network for Weakly-supervised Action Segmentation. | Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang, Yap-Peng Tan |