Renjing Xu

Orcid: 0000-0002-0792-8974

According to our database1, Renjing Xu authored at least 81 papers between 2022 and 2025.

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Bibliography

2025
TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling.
CoRR, August, 2025

Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity.
CoRR, July, 2025

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms.
CoRR, July, 2025

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization.
CoRR, June, 2025

Spiking Transformers Need High Frequency Information.
CoRR, May, 2025

Occupancy World Model for Robots.
CoRR, May, 2025

RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots.
CoRR, April, 2025

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition.
CoRR, March, 2025

Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models.
CoRR, March, 2025

EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks.
CoRR, March, 2025

ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network.
CoRR, March, 2025

HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots.
CoRR, March, 2025

LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures.
CoRR, March, 2025

Trinity: A Modular Humanoid Robot AI System.
CoRR, March, 2025

Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion.
CoRR, March, 2025

Spiking Diffusion Models.
IEEE Trans. Artif. Intell., January, 2025

A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning.
CoRR, January, 2025

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak.
CoRR, January, 2025

The Meta-Representation Hypothesis.
CoRR, January, 2025

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras.
CoRR, January, 2025

Optimal Brain Apoptosis.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Fully Spiking Neural Network for Legged Robots.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CIM-Based Parallel Fully FFNN Surface Code High-Level Decoder for Quantum Error Correction.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Reuse and Blend: A Weight-Sharing Energy-Efficient Optical Neural Network.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network.
CoRR, 2024

Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning.
CoRR, 2024

Uncovering Vision Modality Threats in Image-to-Image Tasks.
CoRR, 2024

Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction.
CoRR, 2024

NeuGPT: Unified multi-modal Neural GPT.
CoRR, 2024

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering.
CoRR, 2024

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models.
CoRR, 2024

Multi-Floor Zero-Shot Object Navigation Policy.
CoRR, 2024

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models.
CoRR, 2024

Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing.
CoRR, 2024

RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction.
CoRR, 2024

Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning.
CoRR, 2024

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning.
CoRR, 2024

MAD: Multi-Alignment MEG-to-Text Decoding.
CoRR, 2024

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.
CoRR, 2024

Reinforcement Learning with Generalizable Gaussian Splatting.
CoRR, 2024

Decode Neural signal as Speech.
CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR, 2024

Whole-body Humanoid Robot Locomotion with Human Reference.
CoRR, 2024

Spiking Denoising Diffusion Probabilistic Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Spiking Neural Network as Adaptive Event Stream Slicer.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Whole-body Humanoid Robot Locomotion with Human Reference.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Reinforcement Learning with Generalizable Gaussian Splatting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Physical Priors Augmented Event-Based 3D Reconstruction.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EventRPG: Event Data Augmentation with Relevance Propagation Guidance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DONE: Dynamic Neural Representation Via Hyperplane Neural ODE.
Proceedings of the IEEE International Conference on Acoustics, 2024

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting.
Proceedings of the Computer Vision - ECCV 2024, 2024

Spiking Wavelet Transformer.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Learning to Generate and Manipulate 3D Radiance Field by a Hierarchical Diffusion Framework with CLIP Latent.
Comput. Graph. Forum, October, 2023

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.
J. Biomed. Informatics, February, 2023

Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision.
CoRR, 2023

ACT: Adversarial Consistency Models.
CoRR, 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR, 2023

Fully Spiking Neural Network for Legged Robots.
CoRR, 2023

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network.
CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.
CoRR, 2023

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras.
CoRR, 2023

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.
CoRR, 2023

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Masked Spiking Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Efficient Spiking Transformer Enabled By Partial Information.
CoRR, 2022


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