| 2026 | FCCM | Chariot: Compiler-Aware Heterogeneous Graph Representation Learning for Automated HLS Optimization. | Yanlong Huang, Jierui Liu, Yuhan She, Rongliang Fu, Tsung-Yi Ho, Hong Yan, Ray C. C. Cheung |
| 2025 | IROS | One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations. | Shaokang Wu, Yijin Wang, Yanlong Huang |
| 2025 | IWQoS | WiPlan: Waypoint Planning for UAVs with Multiple Pan-Zoom Adjustable Cameras. | Yanlong Huang, Weijun Wang, Tingting Yuan, Xiaoming Fu |
| 2025 | SMC | A Hybrid Learning and Optimization Framework for Reactive Whole-Body Motion Planning of Mobile Manipulators. | Chenyu Zhang, Shiying Sun, Kuan Liu, Chuanbao Zhou, Xiaoguang Zhao, Min Tan, Yanlong Huang |
| 2024 | AAAI | Explainable Earnings Call Representation Learning (Student Abstract). | Yanlong Huang, Yue Lei, Wenxin Tai, Zhangtao Cheng, Ting Zhong, Kunpeng Zhang |
| 2024 | AAAI | Faithful Trip Recommender Using Diffusion Guidance (Student Abstract). | Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui, Goce Trajcevski |
| 2024 | KDD | Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection. | Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou |
| 2023 | AAAI | Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract). | Yanlong Huang, Wenxin Tai, Ting Zhong, Kunpeng Zhang |
| 2023 | IGARSS | CO-Detector: Towards Complex Object Detection with Cross-Part Feature Learning in Remote Sensing. | Shuai Yuan, Juepeng Zheng, Yanlong Huang, Jierui Liu, Haohuan Fu, Ray C. C. Cheung |
| 2023 | ICRA | A Non-parametric Skill Representation with Soft Null Space Projectors for Fast Generalization. | Joo Silvrio, Yanlong Huang |
| 2022 | CVPR | iPLAN: Interactive and Procedural Layout Planning. | Feixiang He, Yanlong Huang, He Wang |
| 2022 | DASFAA | Learning Social Influence from Network Structure for Recommender Systems. | Ting Bai, Yanlong Huang, Bin Wu |
| 2020 | ICRA | A Linearly Constrained Nonparametric Framework for Imitation Learning. | Yanlong Huang, Darwin G. Caldwell |
| 2020 | IROS | Robust Gait Synthesis Combining Constrained Optimization and Imitation Learning. | Jiatao Ding, Xiaohui Xiao, Nikos G. Tsagarakis, Yanlong Huang |
| 2019 | ICRA | Generalized Orientation Learning in Robot Task Space. | Yanlong Huang, Fares J. Abu-Dakka, Joo Silvrio, Darwin G. Caldwell |
| 2019 | ICRA | Non-parametric Imitation Learning of Robot Motor Skills. | Yanlong Huang, Leonel Dario Rozo, Joo Silvrio, Darwin G. Caldwell |
| 2019 | IROS | Learning to Sequence Multiple Tasks with Competing Constraints. | Anqing Duan, Raffaello Camoriano, Diego Ferigo, Yanlong Huang, Daniele Calandriello, Lorenzo Rosasco, Daniele Pucci |
| 2019 | IROS | Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives. | Joo Silvrio, Yanlong Huang, Fares J. Abu-Dakka, Leonel Dario Rozo, Darwin G. Caldwell |
| 2018 | ICRA | Hybrid Probabilistic Trajectory Optimization Using Null-Space Exploration. | Yanlong Huang, Joo Silvrio, Leonel Dario Rozo, Darwin G. Caldwell |
| 2018 | ICRA | Generalized Task-Parameterized Skill Learning. | Yanlong Huang, Joo Silvrio, Leonel Dario Rozo, Darwin G. Caldwell |
| 2018 | IROS | Towards Minimal Intervention Control with Competing Constraints. | Yanlong Huang, Joo Silvrio, Darwin G. Caldwell |
| 2018 | IROS | An Uncertainty-Aware Minimal Intervention Control Strategy Learned from Demonstrations. | Joo Silvrio, Yanlong Huang, Leonel Dario Rozo, Darwin G. Caldwell |
| 2018 | IROS | Probabilistic Learning of Torque Controllers from Kinematic and Force Constraints. | Joo Silvrio, Yanlong Huang, Leonel Dario Rozo, Sylvain Calinon, Darwin G. Caldwell |
| 2015 | IROS | Learning optimal striking points for a ping-pong playing robot. | Yanlong Huang, Bernhard Schlkopf, Jan Peters |
| 2011 | IROS | Trajectory prediction of spinning ball for ping-pong player robot. | Yanlong Huang, De Xu, Min Tan, Hu Su |