1. Lu Wei, Zhian Jia, Yufeng Wang, Dagomir Kaszlikowski, and Haibin Ling*. Variational transformer ansatz for the density operator of steady states in dissipative quantum many-body systems. Physical Review B, 112:064303, 2025.

2. Liting Lin, Heng Fan, Zhipeng Zhang, Yuqing Huang*, Yaowei Wang, Yong Xu, and Haibin Ling*. LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers. Conf. on Neural Information Processing Systems, 2025.

3. Zhenghong Li, Jiaxiang Ren, Wensheng Cheng, Yanzuo Liu, Congwu Du, Yingtian Pan, Haibin Ling*. Sparse Reconstruction of Optical Doppler Tomography with Alternative State Space Model and Attention. Int'l Conf. on Medical Image Computing and Computer Assisted Intervention, 2025.

4. Peiyao Wang, Yuewei Lin, Erik Blasch, Jie Wei, and Haibin Ling*. Efficient Temporal Action Segmentation via Boundary-aware Query Voting. Conf. on Neural Information Processing Systems, 2024.

5. Ruyi Lian, Haibin Ling*. CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network. IEEE Int'l Conf. on Computer Vision, 2023.

6. Kalyan Garigapati, Erik Blasch, Jie Wei, Haibin Ling*. Transparent Object Tracking with Enhanced Fusion Module. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2023.

7. Bingyao Huang, Tao Sun, Haibin Ling*. End-to-end Full Projector Compensation, IEEE Trans. on Pattern Analysis and Machine Intelligence, 44(6):2953-2967, 2022.

8. Xinyi Li, Haibin Ling*. Hybrid Camera Pose Estimation With Online Partitioning for SLAM. IEEE Robotics and Automation Letters, 5(2): 1453-1460, 2020.

9. Haibin Ling, Kazunori Okada, An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison, IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(5):840-853, 2007.

10. Haibin Ling, David Jacobs, Shape Classification Using the Inner-Distance, IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(2):286-299, 2007.