Yonghong Tian

EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis

Towards Lossless Memory-efficient Training of Spiking Neural Networks via Gradient Checkpointing and Spike Compression

Towards Autonomous Experimentation: BioProBench, a Corpus and Benchmark for Biological Protocol Comprehension

Delta-Triplane Transformers as Occupancy World Models

ERPV: Enhancing Visual Reinforcement Learning with Partially Reliable Knowledge from VLMs

Winner-Take-All Spiking Transformer for Language Modeling

Latent Light Source Modeling for Scene Reconstruction under Dynamic Illumination

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

Multimodal Quantitative Language for Generative Recommendation

Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array

When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network

PiCO: Peer Review in LLMs based on Consistency Optimization

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity

Time-Dependent VAE for Building Latent Representations from Visual Neural Activity with Complex Dynamics

Enhancing Event Camera Data Pretraining via Prompt-Tuning with Visual Models

Debiased Imbalanced Pseudo-Labeling for Generalized Category Discovery

Deep-ComAIR: A Framework for Predicting TCR-pMHC Binding through Complex Structural Analysis

Spiking Transformer-CNN for Event-based Object Detection