| 2023 | Revisiting the Evaluation of Deep Learning-Based Compiler Testing. | Yongqiang Tian, Zhenyang Xu, Yiwen Dong, Chengnian Sun, Shing-Chi Cheung |
| 2023 | CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. | Xiaohan Yu, Jun Wang, Yongsheng Gao |
| 2023 | Complex Contagion Influence Maximization: A Reinforcement Learning Approach. | Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe |
| 2023 | Strip Attention for Image Restoration. | Yuning Cui, Yi Tao, Luoxi Jing, Alois Knoll |
| 2023 | Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Extended Abstract). | Eugnio Ribeiro, Ricardo Ribeiro, David Martins de Matos |
| 2023 | A Survey on User Behavior Modeling in Recommender Systems. | Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang |
| 2023 | Fair Division with Two-Sided Preferences. | Ayumi Igarashi, Yasushi Kawase, Warut Suksompong, Hanna Sumita |
| 2023 | Computationally Assisted Quality Control for Public Health Data Streams. | Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder |
| 2023 | On Approximating Total Variation Distance. | Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran |
| 2023 | Spatially Constrained Adversarial Attack Detection and Localization in the Representation Space of Optical Flow Networks. | Hannah Kim, Celia Cintas, Girmaw Abebe Tadesse, Skyler Speakman |
| 2023 | Pushing the Limits of Fairness in Algorithmic Decision-Making. | Nisarg Shah |
| 2022 | Evolutionary Approach to Security Games with Signaling. | Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran |
| 2022 | Style Fader Generative Adversarial Networks for Style Degree Controllable Artistic Style Transfer. | Zhiwen Zuo, Lei Zhao, Shuobin Lian, Haibo Chen, Zhizhong Wang, Ailin Li, Wei Xing, Dongming Lu |
| 2022 | Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. | Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming |
| 2022 | Association Rule Mining to Study Process-Related Cause-Effect-Relationships in Pig Farming. | Tobias Zimpel, Andrea Wild, Hansjrg Schrade, Stefan Kirn |
| 2022 | Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast. | Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng |
| 2022 | Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking. | Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang |
| 2022 | Spiking Graph Convolutional Networks. | Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo |
| 2022 | Proximity Enhanced Graph Neural Networks with Channel Contrast. | Wei Zhuo, Guang Tan |
| 2022 | Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation. | Heng Zhu, Qing Ling |
| 2022 | Contrastive Graph Transformer Network for Personality Detection. | Yangfu Zhu, Linmei Hu, Xinkai Ge, Wanrong Peng, Bin Wu |
| 2022 | RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. | Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang |
| 2022 | Post-processing of Differentially Private Data: A Fairness Perspective. | Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck |
| 2022 | Text/Speech-Driven Full-Body Animation. | Wenlin Zhuang, Jinwei Qi, Peng Zhang, Bang Zhang, Ping Tan |
| 2022 | Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. | Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun |