| 2026 | KDD | PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. | Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong |
| 2026 | KDD | Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements. | Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong |
| 2025 | ICDM | Self-Supervised Distribution Correction to Boost Information Gain in Offline Reinforcement Learning. | Jingyi Yuan, Hamad Alduaij, Yang Weng |
| 2025 | ICDM | Rethinking Invertible Neural Networks: Architecture Tradeoffs and Customization Across Domains. | Jingyi Yuan, Muhao Guo, Yang Weng |
| 2025 | ICDM | Owen-Based Semantics and Hierarchy-Aware Explanation (O-Shap). | Xiangyu Zhou, Chenhan Xiao, Yang Weng |
| 2025 | IJCNN | Efficient Manifold-Constrained Neural ODE for High-Dimensional Datasets. | Muhao Guo, Haoran Li, Yang Weng |
| 2024 | KDD | DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning. | Jingyi Yuan, Yang Weng, Erik Blasch |
| 2023 | ICDM | PIX-GAN: Enhance Physics-Informed Estimation via Generative Adversarial Network. | Haoran Li, Yang Weng |
| 2023 | IJCNN | Continuous Variational Quantum Algorithms for Time Series. | Muhao Guo, Yang Weng, Lili Ye, Ying-Cheng Lai |
| 2022 | ACML | Auto-Physics-Encoder: Using Physics-Informed Latent Layer Two-Way Physics Flow for Monitoring Systems with Unobservability. | Priyabrata Sundaray, Yang Weng |
| 2022 | KDD | Domain Adaptation in Physical Systems via Graph Kernel. | Haoran Li, Hanghang Tong, Yang Weng |
| 2022 | KDD | Intrinsic-Motivated Sensor Management: Exploring with Physical Surprise. | Jingyi Yuan, Yang Weng, Erik Blasch |
| 2021 | ACML | Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models. | Napoleon Costilla-Enriquez, Yang Weng |
| 2021 | ICDM | Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability. | Jingyi Yuan, Yang Weng |
| 2021 | ICTAI | Improving Relation Extraction by Knowledge Representation Learning. | Wenxing Hong, Shuyan Li, Zhiqiang Hu, Abdur Rasool, Qingshan Jiang, Yang Weng |
| 2021 | KDD | Physical Equation Discovery Using Physics-Consistent Neural Network (PCNN) Under Incomplete Observability. | Haoran Li, Yang Weng |
| 2020 | ICDM | Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. | Haoran Li, Yang Weng, Hanghang Tong |
| 2019 | ISPA | Accelerated Stochastic Variational Inference. | Pingbo Hu, Yang Weng |
| 2018 | FCCM | HODS: Hardware Object Deserialization Inside SSD Storage. | Dongyang Li, Fei Wu, Yang Weng, Qing Yang, Changsheng Xie |
| 2018 | JURIX | K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts. | Xin Tian, Yin Fang, Yang Weng, Yawen Luo, Huifang Cheng, Zhu Wang |
| 2010 | FUSION | Target tracking in wireless sensor networks using particle filter with quantized innovations. | Yang Weng, Lihua Xie, Chung Huat Tan, Gee Wah Ng |
| 2010 | ICARCV | Sensor deployment strategy for random field estimation: One-dimensional case. | Yang Weng, Lihua Xie, Wendong Xiao, Sen Zhang |
| 2008 | ISIT | On the Han-Kobayashi achievable region for Gaussian interference channels. | Daniela Tuninetti, Yang Weng |