| 2025 | CoDIT | Deep Reinforcement Learning for Autonomous Driving Decision-Making in Webots. | Xin Xing, Sebastian Ohl |
| 2025 | SIGIR | ULP: Unlabeled Location Prediction from Text. | Xi He, Yilin Liu, Yijie Sun, Xin Xing, Xingyu Lu, Yanbing Liu |
| 2024 | CVPR | Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. | Xin Xing, Zhexiao Xiong, Abby Stylianou, Srikumar Sastry, Liyu Gong, Nathan Jacobs |
| 2024 | SMC | Rumor Detection Based on Macro-Micro Public Opinion Modeling and Sentiment Scores. | Li Li, Jingyang Hu, Shihao Fu, Xin Xing, Wei Zhou |
| 2022 | BMVC | AssocFormer: Association Transformer for Multi-label Classification. | Xin Xing, Chong Peng, Yu Zhang, Ai-Ling Lin, Nathan Jacobs |
| 2022 | ICPR | Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. | Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang |
| 2020 | AISTATS | Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms. | Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael W. Mahoney |
| 2020 | ECCV | Dynamic Image for 3D MRI Image Alzheimer's Disease Classification. | Xin Xing, Gongbo Liang, Hunter Blanton, Muhammad Usman Rafique, Chris Wang, Ai-Ling Lin, Nathan Jacobs |
| 2020 | ICLR | Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks. | Xin Xing, Long Sha, Pengyu Hong, Zuofeng Shang, Jun S. Liu |
| 2020 | ICMLA | NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks. | Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu |
| 2019 | KDD | Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction. | Wentao Ouyang, Xiuwu Zhang, Li Li, Heng Zou, Xin Xing, Zhaojie Liu, Yanlong Du |
| 2018 | LCN | Improving Wireless Network Performance under MPTCP based Multipath Access. | Kang Chen, Xin Xing, Mijanur Rahaman Palash, Jianwei Liu, James Martin |