Uncertainty-aware pedestrian trajectory prediction via distributional diffusion Y Liu, Z Ye, R Wang, B Li, QZ Sheng, L Yao Knowledge-Based Systems 296, 111862, 2024 | 2 | 2024 |
Limits of predictability in top-N recommendation E Xu, K Zhao, Z Yu, Y Zhang, B Guo, L Yao Information Processing & Management 61 (4), 103731, 2024 | 1 | 2024 |
Transferrable Subject-Independent Feature Representation for Discriminating EEG-Based Brain Signals H Lou, Z Ye, L Yao Guidance, Navigation and Control, 2024 | | 2024 |
Self-Distilled Disentangled Learning for Counterfactual Prediction X Li, M Gong, L Yao arXiv preprint arXiv:2406.05855, 2024 | | 2024 |
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation X Chen, S Wang, L Yao arXiv preprint arXiv:2406.00725, 2024 | | 2024 |
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning R Wang, T Yu, R Zhang, S Kim, R Rossi, H Zhao, J Wu, S Mitra, L Yao, ... Findings of the Association for Computational Linguistics: NAACL 2024, 4597-4612, 2024 | | 2024 |
Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning G Zhou, Z Han, S Chen, B Huang, L Zhu, S Khan, X Gao, L Yao arXiv preprint arXiv:2405.12217, 2024 | | 2024 |
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising Y Liu, QZ Sheng, L Yao arXiv preprint arXiv:2405.07164, 2024 | | 2024 |
Multi-agent Traffic Prediction via Denoised Endpoint Distribution Y Liu, R Wang, Y Cao, QZ Sheng, L Yao arXiv preprint arXiv:2405.07041, 2024 | | 2024 |
Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations N Li, B Guo, Y Liu, Y Ding, L Yao, X Fan, Z Yu Information Processing & Management 61 (3), 103641, 2024 | | 2024 |
Modality aware contrastive learning for multimodal human activity recognition S Dixon, L Yao, R Davidson Concurrency and Computation: Practice and Experience, e8020, 2024 | | 2024 |
Generalizing truth discovery by incorporating multi-truth features XS Fang, X Wang, QZ Sheng, L Yao Computing, 1-27, 2024 | | 2024 |
Multi-view GCN for loan default risk prediction Z Li, Y Chen, X Wang, L Yao, G Xu Neural Computing and Applications, 1-14, 2024 | | 2024 |
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction Y Liu, B Li, X Wang, C Sammut, L Yao IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification Z Zhang, T Yu, H Zhao, K Xie, L Yao, S Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement J Du, Z Ye, B Guo, Z Yu, L Yao SIGIR 2024, 2024 | | 2024 |
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach C Huang, R Wang, K Xie, T Yu, L Yao arXiv preprint arXiv:2404.03514, 2024 | 1 | 2024 |
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models S Jha, D Gong, L Yao arXiv preprint arXiv:2403.19137, 2024 | 1 | 2024 |
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning H Wang, H Lu, L Yao, D Gong arXiv preprint arXiv:2403.18886, 2024 | 1 | 2024 |
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems S Wang, X Chen, L Yao arXiv preprint arXiv:2403.17634, 2024 | 1 | 2024 |