 Prototype-Driven Structure Synergy Network for Remote Sensing Images SegmentationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 |
 RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence ModelingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 |
 Towards Scalable and Stable Parallelization of Nonlinear RNNsNeural Information Processing Systems (NeurIPS), 2024 |
 VMamba: Visual State Space ModelNeural Information Processing Systems (NeurIPS), 2024 |
 Multi-Agent Reinforcement Learning with Selective State-Space ModelsAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 |
 Oscillatory State-Space ModelsInternational Conference on Learning Representations (ICLR), 2024 |
 Real-Time Recurrent Learning using Trace Units in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 |
 Mamba-R: Vision Mamba ALSO Needs RegistersComputer Vision and Pattern Recognition (CVPR), 2024 |
 |
 Investigating Recurrent Transformers with Dynamic Halt Jishnu Ray Chowdhury Cornelia Caragea |
 RWKV: Reinventing RNNs for the Transformer EraConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Transformer Working Memory Enables Regular Language Reasoning and
Natural Language Length ExtrapolationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Parallel Spiking Neurons with High Efficiency and Ability to Learn
Long-term DependenciesNeural Information Processing Systems (NeurIPS), 2023 |
 Resurrecting Recurrent Neural Networks for Long SequencesInternational Conference on Machine Learning (ICML), 2023 |
 Parallelizing Legendre Memory Unit TrainingInternational Conference on Machine Learning (ICML), 2021 |
 Sub-Linear Memory: How to Make Performers SLiMNeural Information Processing Systems (NeurIPS), 2020 |
 |
 Learning Efficient Representations of Mouse Movements to Predict User
AttentionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 |
