Yonghong Tian

Parallel Training Time-to-First-Spike Spiking Neural Networks AAAI 2026 BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning ACL 2026 Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026 Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models AAAI 2026 ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 Spikingformer: A Key Foundation Model for Spiking Neural Networks AAAI 2026 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025 Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion ICCV 2025 EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images ICCV 2025 AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes AAAI 2025 Visual Reinforcement Learning with Residual Action AAAI 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025 When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network ICML 2025 PiCO: Peer Review in LLMs based on Consistency Optimization ICLR 2025 Multimodal Quantitative Language for Generative Recommendation ICLR 2025 Self-Supervised Learning for Color Spike Camera Reconstruction CVPR 2025 RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing CVPR 2025 Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset CVPR 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 Asynchronous Collaborative Graph Representation for Frames and Events CVPR 2025 Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body CVPR 2025 High-Performance Temporal Reversible Spiking Neural Networks with $\mathcalO(L)$ Training Memory and $\mathcalO(1)$ Inference Cost ICML 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors AAAI 2024 Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024 Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli NIPS 2024 Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline CVPR 2024 Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL NIPS 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 HiFi-123: Towards High-fidelity One Image to 3D Content Generation ECCV 2024 QKFormer: Hierarchical Spiking Transformer using Q-K Attention NIPS 2024 Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion IJCAI 2024 Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips ICLR 2024 Event-based Visible and Infrared Fusion via Multi-task Collaboration CVPR 2024 Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023 Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NIPS 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies NIPS 2023 Spike-driven Transformer NIPS 2023 A Unified Framework for Soft Threshold Pruning ICLR 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023 Dynamic Belief for Decentralized Multi-Agent Cooperative Learning IJCAI 2023 Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse AAAI 2023 Meta Architecture for Point Cloud Analysis CVPR 2023 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Spikformer: When Spiking Neural Network Meets Transformer ICLR 2023 IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022 Spectrum Random Masking for Generalization in Image-based Reinforcement Learning NIPS 2022 Retinomorphic Object Detection in Asynchronous Visual Streams AAAI 2022 Fine-Grained Object Classification via Self-Supervised Pose Alignment CVPR 2022 Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity CVPR 2022 Neural Architecture Search With Representation Mutual Information CVPR 2022 Training-Free Transformer Architecture Search CVPR 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022 Masked Autoencoders for Point Cloud Self-Supervised Learning ECCV 2022 State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks ICML 2022 ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras ICCV 2021 Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain ICCV 2021 Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks ICCV 2021 Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark CVPR 2021 High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras CVPR 2021 Deep Residual Learning in Spiking Neural Networks NIPS 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks IJCAI 2021 PNPDet: Efficient Few-Shot Detection Without Forgetting via Plug-and-Play Sub-Networks WACV 2021 Matching on Sets: Conquer Occluded Person Re-identification Without Alignment AAAI 2021 Heterogeneous Relational Complement for Vehicle Re-Identification ICCV 2021 Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition WACV 2020 Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations AAAI 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification CVPR 2020 Retina-Like Visual Image Reconstruction via Spiking Neural Model CVPR 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020 Multiple Expert Brainstorming for Domain Adaptive Person Re-identification ECCV 2020 Learning Open Set Network with Discriminative Reciprocal Points ECCV 2020 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning ICCV 2019 Part-Regularized Near-Duplicate Vehicle Re-Identification CVPR 2019 Multi-Class Part Parsing With Joint Boundary-Semantic Awareness ICCV 2019 Selectivity or Invariance: Boundary-Aware Salient Object Detection ICCV 2019 Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NIPS 2018 Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network ICCV 2017 Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-Similar Vehicles ICCV 2017 Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles CVPR 2016 Unsupervised Cross-Dataset Transfer Learning for Person Re-Identification CVPR 2016 Quality Assessment for Comparing Image Enhancement Algorithms CVPR 2014