| 2024 | NAACL | Embodied Executable Policy Learning with Language-based Scene Summarization. | Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao |
| 2023 | ACL | SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin |
| 2023 | AISTATS | Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. | Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao |
| 2023 | CoRL | What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. | Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao |
| 2023 | CoRL | Continual Vision-based Reinforcement Learning with Group Symmetries. | Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao |
| 2023 | EACL | Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao |
| 2023 | EMNLP | Can Brain Signals Reveal Inner Alignment with Human Languages? | Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao |
| 2023 | ICASSP | Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. | Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao |
| 2023 | ICLR | Hyper-Decision Transformer for Efficient Online Policy Adaptation. | Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan |
| 2023 | UAI | A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. | Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi |
| 2022 | ICML | Prompting Decision Transformer for Few-Shot Policy Generalization. | Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | IJCAI | Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. | Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao |
| 2022 | IROS | Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. | Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao |
| 2021 | ICRA | Context-Aware Safe Reinforcement Learning for Non-Stationary Environments. | Baiming Chen, Zuxin Liu, Jiacheng Zhu, Mengdi Xu, Wenhao Ding, Liang Li, Ding Zhao |
| 2021 | ISCC | DeepGAN: Generating Molecule for Drug Discovery Based on Generative Adversarial Network. | Mengdi Xu, Jiandong Cheng, Yirong Liu, Wei Huang |
| 2020 | ICRA | CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios. | Wenhao Ding, Mengdi Xu, Ding Zhao |
| 2019 | MICCAI | Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images. | Tianchi Liu, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang, Lei Shi, Shuang Wu |
| 2012 | CVPR | Omni-range spatial contexts for visual classification. | Bingbing Ni, Mengdi Xu, Jinhui Tang, Shuicheng Yan, Pierre Moulin |