| Emotion recognition using multimodal residual LSTM network J Ma, H Tang, WL Zheng, BL Lu Proceedings of the 27th ACM international conference on multimedia, 176-183, 2019 | 165 | 2019 |
| Towards scale-invariant graph-related problem solving by iterative homogeneous gnns H Tang, Z Huang, J Gu, BL Lu, H Su Advances in Neural Information Processing Systems 33, 15811-15822, 2020 | 51 | 2020 |
| Belief propagation neural networks J Kuck, S Chakraborty, H Tang, R Luo, J Song, A Sabharwal, S Ermon Advances in Neural Information Processing Systems 33, 667-678, 2020 | 40 | 2020 |
| Investigating sex differences in classification of five emotions from EEG and eye movement signals LQ Bao, JL Qiu, H Tang, WL Zheng, BL Lu 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 17 | 2019 |
| Refactoring policy for compositional generalizability using self-supervised object proposals T Mu, J Gu, Z Jia, H Tang, H Su Advances in Neural Information Processing Systems 33, 8883-8894, 2020 | 11 | 2020 |
| From perception to programs: regularize, overparameterize, and amortize H Tang, K Ellis International Conference on Machine Learning, 33616-33631, 2023 | 5 | 2023 |
| Equivariant neural network for factor graphs FY Sun, J Kuck, H Tang, S Ermon arXiv preprint arXiv:2109.14218, 2021 | 1 | 2021 |
| WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment H Tang, D Key, K Ellis arXiv preprint arXiv:2402.12275, 2024 | | 2024 |
| Multimodal Emotion Recognition Using Deep Neural Networks H Tang, W Liu, WL Zheng, BL Lu Neural Information Processing. ICONIP 10637, 811--819, 2017 | | 2017 |
| Multimodal Emotion Recognition Using Deep Neural Networks H Tang, W Liu, WL Zheng, BL Lu https://haotang1995.github.io/files/iconip17.pdf, 2017 | | 2017 |
| Multimodal emotion recognition using deep neural networks H Tang, W Liu, WL Zheng, BL Lu Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | | 2017 |
