| Towards Robustness Against Natural Language Word Substitutions X Dong, AT Luu, R Ji, H Liu International Conference on Learning Representations, 2021 | 110 | 2021 |
| How should pre-trained language models be fine-tuned towards adversarial robustness? X Dong, AT Luu, M Lin, S Yan, H Zhang Advances in Neural Information Processing Systems, 2021 | 46 | 2021 |
| Certified Robustness Against Natural Language Attacks by Causal Intervention H Zhao*, C Ma*, X Dong*, AT Luu, ZH Deng, H Zhang International Conference on Machine Learning, 2022 | 27 | 2022 |
| Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning X Wu, AT Luu, X Dong Empirical Methods in Natural Language Processing, 2022 | 16 | 2022 |
| Effective Neural Topic Modeling with Embedding Clustering Regularization X Wu, X Dong, TT Nguyen, AT Luu International Conference on Machine Learning, 2023 | 11* | 2023 |
| Api-net: Robust generative classifier via a single discriminator X Dong, H Liu, R Ji, L Cao, Q Ye, J Liu, Q Tian European Conference on Computer Vision, 2020 | 9 | 2020 |
| InfoCTM: A Mutual Information Maximization Perspective of Cross-lingual Topic Modeling X Wu, X Dong, T Nguyen, C Liu, LM Pan, AT Luu AAAI Conference on Artificial Intelligence, 2023 | 8 | 2023 |
| A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables X Dong, B Huang, I Ng, X Song, Y Zheng, S Jin, R Legaspi, P Spirtes, ... International Conference on Learning Representations, 2024 | 3 | 2024 |
| Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction TT Nguyen, X Wu, X Dong, CDT Nguyen, Z Hai, L Bing, AT Luu ACL Findings, 2023 | 2 | 2023 |
| DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding T Nguyen, X Wu, X Dong, CD Nguyen, SK Ng, A Luu Findings of the Association for Computational Linguistics: EMNLP 2023, 3635-3649, 2023 | 1 | 2023 |
| Temporally Disentangled Representation Learning under Unknown Nonstationarity X Song, W Yao, Y Fan, X Dong, G Chen, JC Niebles, E Xing, K Zhang Advances in Neural Information Processing Systems, 2023 | 1 | 2023 |
| Topic Modeling as Multi-Objective Contrastive Optimization T Nguyen, X Wu, X Dong, CDT Nguyen, SK Ng, AT Luu arXiv preprint arXiv:2402.07577, 2024 | | 2024 |
| Topic modeling as multi-objective optimization with Setwise Contrastive Learning TT Nguyen, X Wu, X Dong, CDT Nguyen, SK Ng, AT Luu International Conference on Learning Representations, 2024 | | 2024 |
| Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability S Jin, F Xie, G Chen, B Huang, Z Chen, X Dong, K Zhang International Conference on Learning Representations, 2024 | | 2024 |
| READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling T Nguyen, X Wu, X Dong, K Le, Z Hu, CD Nguyen, SK Ng, LA Tuan AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
| On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors X Dong, H Dai, Y Fan, S Jin, S Rajendran, K Zhang arXiv preprint arXiv:2401.05414, 2023 | | 2023 |
| Identifying Latent State Transition Processes for Individualized Reinforcement Learning Y Sun, B Huang, Y Yao, D Zeng, X Dong, R Legaspi, K Ikeda, P Spirtes, ... | | 2023 |
| On the Identifiability of Sparse ICA without Assuming Non-Gaussianity I Ng, Y Zheng, X Dong, K Zhang Advances in Neural Information Processing Systems, 2023 | | 2023 |
| Adversarial attacks and defenses in natural language processing X Dong Nanyang Technological University, 2022 | | 2022 |
Luu Anh TuanAssistant Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
