| 2023 | MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation. | Yiheng Zhu, Zhenqiu Ouyang, Ben Liao, Jialu Wu, Yixuan Wu, Chang-Yu Hsieh, Tingjun Hou, Jian Wu |
| 2023 | COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. | Fangyi Zhu, See-Kiong Ng, Stphane Bressan |
| 2023 | Vision Language Navigation with Knowledge-driven Environmental Dreamer. | Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang |
| 2023 | Graph Sampling-based Meta-Learning for Molecular Property Prediction. | Xiang Zhuang, Qiang Zhang, Bin Wu, Keyan Ding, Yin Fang, Huajun Chen |
| 2023 | A Survey on Efficient Training of Transformers. | Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen |
| 2023 | Causal Deep Reinforcement Learning Using Observational Data. | Wenxuan Zhu, Chao Yu, Qiang Zhang |
| 2023 | Pyramid Diffusion Models for Low-light Image Enhancement. | Dewei Zhou, Zongxin Yang, Yi Yang |
| 2023 | Online Harmonizing Gradient Descent for Imbalanced Data Streams One-Pass Classification. | Han Zhou, Hongpeng Yin, Xuanhong Deng, Yuyu Huang |
| 2023 | Totally Dynamic Hypergraph Neural Networks. | Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu |
| 2023 | CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD. | Shengdi Zhou, Tianyi Tang, Bin Zhou |
| 2023 | IMPsys: An Intelligent Mold Processing System for Smart Factory. | Xueyi Zhou, Yohan Na, Minju Bang, Dong-Kyu Chae |
| 2023 | Video Frame Interpolation with Densely Queried Bilateral Correlation. | Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition. | Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu, Yuran Cao |
| 2023 | RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models. | Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li |
| 2023 | Dichotomous Image Segmentation with Frequency Priors. | Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen, Yanning Zhang |
| 2023 | Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. | Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia |
| 2023 | pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. | Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li |
| 2023 | MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning. | Zhehua Zhong, Tianyi Chen, Zhen Wang |
| 2023 | Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract). | Andrey Zhitnikov, Vadim Indelman |
| 2023 | Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint. | Luhan Zhen, Zhanshan Li, Yanzhi Li, Hongbo Li |
| 2023 | Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow. | Xiaolin Zheng, Mengpu Liu, Mengying Zhu |
| 2023 | TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition. | Tianlun Zheng, Zhineng Chen, Jinfeng Bai, Hongtao Xie, Yu-Gang Jiang |
| 2023 | Reducing Communication for Split Learning by Randomized Top-k Sparsification. | Fei Zheng, Chaochao Chen, Lingjuan Lyu, Binhui Yao |
| 2023 | Incentive-Compatible Selection for One or Two Influentials. | Yuxin Zhao, Yao Zhang, Dengji Zhao |
| 2023 | LGPConv: Learnable Gaussian Perturbation Convolution for Lightweight Pansharpening. | Chen-Yu Zhao, Tian-Jing Zhang, Ran Ran, Zhi-Xuan Chen, Liang-Jian Deng |