| 2025 | ICLR | Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples. | Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar |
| 2025 | ICML | Revealing Weaknesses in Text Watermarking Through Self-Information Rewrite Attacks. | Yixin Cheng, Hongcheng Guo, Yangming Li, Leonid Sigal |
| 2024 | ICLR | Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. | Yangming Li, Boris van Breugel, Mihaela van der Schaar |
| 2024 | ICLR | On Error Propagation of Diffusion Models. | Yangming Li, Mihaela van der Schaar |
| 2023 | ICASSP | A Simple Yet Effective Approach to Structured Knowledge Distillation. | Wenye Lin, Yangming Li, Lemao Liu, Shuming Shi, Hai-Tao Zheng |
| 2022 | ACL | Rethinking Negative Sampling for Handling Missing Entity Annotations. | Yangming Li, Lemao Liu, Shuming Shi |
| 2021 | AAAI | Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. | Yangming Li, Kaisheng Yao |
| 2021 | ACL | TexSmart: A System for Enhanced Natural Language Understanding. | Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi |
| 2021 | ACL | Rewriter-Evaluator Architecture for Neural Machine Translation. | Yangming Li, Kaisheng Yao |
| 2021 | EMNLP | Segmenting Natural Language Sentences via Lexical Unit Analysis. | Yangming Li, Lemao Liu, Shuming Shi |
| 2021 | EMNLP | Fine-grained Entity Typing without Knowledge Base. | Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, Shuming Shi |
| 2021 | ICLR | Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. | Yangming Li, Lemao Liu, Shuming Shi |
| 2021 | ICRA | Learning Surgical Motion Pattern from Small Data in Endoscopic Sinus and Skull Base Surgeries. | Yangming Li, Randall A. Bly, Sarah Akkina, Fangbo Qin, Rajeev C. Saxena, Ian Humphreys, Mark Whipple, Kris S. Moe, Blake Hannaford |
| 2021 | NAACL | Neural Sequence Segmentation as Determining the Leftmost Segments. | Yangming Li, Lemao Liu, Kaisheng Yao |
| 2020 | AAAI | Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models. | Yangming Li, Kaisheng Yao, Libo Qin, Shuang Peng, Yijia Liu, Xiaolong Li |
| 2020 | AAAI | DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification. | Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu |
| 2020 | ACL | Handling Rare Entities for Neural Sequence Labeling. | Yangming Li, Han Li, Kaisheng Yao, Xiaolong Li |
| 2020 | ACL | Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. | Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu |
| 2020 | IROS | LC-GAN: Image-to-image Translation Based on Generative Adversarial Network for Endoscopic Images. | Shan Lin, Fangbo Qin, Yangming Li, Randall A. Bly, Kris S. Moe, Blake Hannaford |
| 2019 | EMNLP | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu |
| 2019 | EMNLP | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu |
| 2019 | ICRA | Surgical Instrument Segmentation for Endoscopic Vision with Data Fusion of rediction and Kinematic Pose. | Fangbo Qin, Yangming Li, Yun-Hsuan Su, De Xu, Blake Hannaford |
| 2018 | ICRA | A Novel Recurrent Neural Network for Improving Redundant Manipulator Motion Planning Completeness. | Yangming Li, Shuai Li, Blake Hannaford |
| 2018 | IROS | Soft-obstacle Avoidance for Redundant Manipulators with Recurrent Neural Network. | Yangming Li, Blake Hannaford |
| 2017 | ICRA | Roboscope: A flexible and bendable surgical robot for single portal Minimally Invasive Surgery. | Jacob Rosen, Laligam N. Sekhar, Daniel Glozman, Muneaki Miyasaka, Jesse Dosher, Brian Dellon, Kris S. Moe, Aylin Kim, Louis J. Kim, Thomas S. Lendvay, Yangming Li, Blake Hannaford |
| 2017 | IROS | Improving control precision and motion adaptiveness for surgical robot with recurrent neural network. | Yangming Li, Shuai Li, David E. Caballero, Muneaki Miyasaka, Andrew Lewis, Blake Hannaford |
| 2016 | ICRA | Unscented Kalman Filter and 3D vision to improve cable driven surgical robot joint angle estimation. | Mohammad Haghighipanah, Muneaki Miyasaka, Yangming Li, Blake Hannaford |
| 2016 | ICRA | Dynamic modeling of cable driven elongated surgical instruments for sensorless grip force estimation. | Yangming Li, Muneaki Miyasaka, Mohammad Haghighipanah, Lei Cheng, Blake Hannaford |
| 2016 | ICRA | Hysteresis model of longitudinally loaded cable for cable driven robots and identification of the parameters. | Muneaki Miyasaka, Mohammad Haghighipanah, Yangming Li, Blake Hannaford |
| 2015 | IROS | Improving position precision of a servo-controlled elastic cable driven surgical robot using Unscented Kalman Filter. | Mohammad Haghighipanah, Yangming Li, Muneaki Miyasaka, Blake Hannaford |
| 2012 | IROS | IPJC: The Incremental Posterior Joint Compatibility test for fast feature cloud matching. | Yangming Li, Edwin B. Olson |
| 2011 | ICRA | Structure tensors for general purpose LIDAR feature extraction. | Yangming Li, Edwin B. Olson |
| 2010 | ICRA | Extracting general-purpose features from LIDAR data. | Yangming Li, Edwin B. Olson |