| 2024 | Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack. | Zhongliang Guo, Junhao Dong, Yifei Qian, Kaixuan Wang, Weiye Li, Ziheng Guo, Yuheng Wang, Yanli Li, Ognjen Arandjelovic, Lei Fang |
| 2024 | Online Friends Partitioning Under Uncertainty. | Saar Cohen, Noa Agmon |
| 2023 | PMAA: A Progressive Multi-Scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-Temporal Satellite Imagery. | Xuechao Zou, Kai Li, Junliang Xing, Pin Tao, Yachao Cui |
| 2023 | Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. | Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli |
| 2023 | Deep Co-Training for Cross-Modality Medical Image Segmentation. | Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, Beng Chin Ooi |
| 2023 | Grafting Fine-Tuning and Reinforcement Learning for Empathetic Emotion Elicitation in Dialog Generation. | Ying Zhu, Bo Wang, Dongming Zhao, Kun Huang, Zhuoxuan Jiang, Ruifang He, Yuexian Hou |
| 2023 | Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents. | Ziyuan Zhou, Guanjun Liu |
| 2023 | Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. | Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen |
| 2023 | Turn on the Right Track: Weakly Supervised Video Moment Retrieval with Self-Improving Query Reconstruction. | Yiming Zhong, Haifeng Sun, Jiachang Hao, Jing Wang, Cheng Zhou, Qi Qi, Jingyu Wang, Jianxin Liao |
| 2023 | Improving Adversarial Transferability with Ghost Samples. | Yi Zhao, Ningping Mou, Yunjie Ge, Qian Wang |
| 2023 | Deep Unsupervised Hashing with Hyperbolic Multi-Structure Learning. | Chuang Zhao, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Qiang Cao |
| 2023 | MIATS: A Chinese Spelling Error Correction Algorithm Based on Multimodal Information Alignment of Three-Towers Structure. | Guochao Zhao, Yan Guo, Jia Tang, Zongwei Zhu, Guixing Wu |
| 2023 | XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. | Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng |
| 2023 | Privacy-Enhanced AI Assistants Based on Dialogues and Case Similarity. | Xiao Zhan, Stefan Sarkadi, Jose M. Such |
| 2023 | Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. | Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin |
| 2023 | Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. | Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang |
| 2023 | DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition. | Xinyue Zhang, Jing Xiang, Hanxiu Zhang, Chunwei Wu, Hailing Wang, Guitao Cao |
| 2023 | Individual Fairness Under Uncertainty. | Wenbin Zhang, Zichong Wang, Juyong Kim, Cheng Cheng, Thomas Oommen, Pradeep Ravikumar, Jeremy C. Weiss |
| 2023 | Revisiting the Efficiency-Accuracy Tradeoff in Adapting Transformer Models via Adversarial Fine-Tuning. | Minjia Zhang, Uma-Naresh Niranjan, Yuxiong He |
| 2023 | Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture. | Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li |
| 2023 | Uncertainty-Driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. | Junjie Zhang, Jiafei Lyu, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li |
| 2023 | Information Bound and Its Applications in Bayesian Neural Networks. | Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan |
| 2023 | Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. | Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu |
| 2023 | Siamese Representation Learning for Unsupervised Relation Extraction. | Guangxin Zhang, Shu Chen |
| 2023 | Knowledge Injection for Multiagent Systems via Counterfactual Perception Shaping. | Nicholas Zerbel, Kagan Tumer |