Spiking Diffusion Models - Jiahang Cao; Hanzhong Guo; Ziqing Wang; Deming Zhou; Hao Cheng; Qiang Zhang; Renjing Xu (IEEE Trans. Artif. Intell., 2025)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks - Ziqing Wang; Yuetong Fang; Jiahang Cao; Hongwei Ren; Renjing Xu (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Reuse and Blend: A Weight-Sharing Energy-Efficient Optical Neural Network - Bo Xu; Yuetong Fang; Shaoliang Yu; Renjing Xu (Proceedings of the 30th Asia and South Pacific Design Automation Conference, ASPDAC 2025, Tokyo, Japan, January 20-23, 2025, 2025)

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras - Jingkai Sun; Qiang Zhang; Jiaxu Wang; Jiahang Cao; Renjing Xu (CoRR, 2025)

The Meta-Representation Hypothesis - Zhengpeng Xie; Jiahang Cao; Qiang Zhang; Jianxiong Zhang; Changwei Wang; Renjing Xu (CoRR, 2025)

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak - Erjia Xiao; Hao Cheng; Jing Shao; Jinhao Duan; Kaidi Xu; Le Yang; Jindong Gu; Renjing Xu (CoRR, 2025)

A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning - Zhengpeng Xie; Jiahang Cao; Yulong Zhang; Qiang Zhang; Renjing Xu (CoRR, 2025)

MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation - Lingfeng Zhang; Xiaoshuai Hao; Qinwen Xu; Qiang Zhang; Xinyao Zhang; Pengwei Wang; Jing Zhang; Zhongyuan Wang; Shanghang Zhang; Renjing Xu (CoRR, 2025)

Optimal Brain Apoptosis - Mingyuan Sun; Zheng Fang; Jiaxu Wang; Junjie Jiang; Delei Kong; Chenming Hu; Yuetong Fang; Renjing Xu (CoRR, 2025)

Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion - Qiang Zhang; Gang Han; Jingkai Sun; Wen Zhao; Chenghao Sun; Jiahang Cao; Jiaxu Wang; Yijie Guo; Renjing Xu (CoRR, 2025)

Trinity: A Modular Humanoid Robot AI System - Jingkai Sun; Qiang Zhang; Gang Han; Wen Zhao; Zhe Yong; Yan He; Jiaxu Wang; Jiahang Cao; Yijie Guo; Renjing Xu (CoRR, 2025)

LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures - Qiang Zhang; Gang Han; Jingkai Sun; Wen Zhao; Jiahang Cao; Jiaxu Wang; Hao Cheng; Lingfeng Zhang; Yijie Guo; Renjing Xu (CoRR, 2025)

HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots - Qiang Zhang; Zhang Zhang; Wei Cui; Jingkai Sun; Jiahang Cao; Yijie Guo; Gang Han; Wen Zhao; Jiaxu Wang; Chenghao Sun; Lingfeng Zhang; Hao Cheng; et al. (CoRR, 2025)

ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network - Qiang Zhang; Jiahang Cao; Jingkai Sun; Yecheng Shao; Gang Han; Wen Zhao; Yijie Guo; Renjing Xu (CoRR, 2025)

EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks - Yi Zhang; Qiang Zhang; Xiaozhu Ju; Zhaoyang Liu; Jilei Mao; Jingkai Sun; Jintao Wu; Shixiong Gao; Shihan Cai; Zhiyuan Qin; Linkai Liang; Jiaxu Wang; et al. (CoRR, 2025)

Exploring Typographic Visual Prompts Injection Threats in Cross-Modality Generation Models - Hao Cheng; Erjia Xiao; Yichi Wang; Kaidi Xu; Mengshu Sun; Jindong Gu; Renjing Xu (CoRR, 2025)

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition - Jiahang Cao; Qiang Zhang; Hanzhong Guo; Jiaxu Wang; Hao Cheng; Renjing Xu (CoRR, 2025)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models - Jinhao Duan; Hao Cheng; Shiqi Wang; Alex Zavalny; Chenan Wang; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models - Fei Kong; Jinhao Duan; Lichao Sun; Hao Cheng; Renjing Xu; Hengtao Shen; Xiaofeng Zhu; Xiaoshuang Shi; Kaidi Xu (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Spiking Wavelet Transformer - Yuetong Fang; Ziqing Wang; Lingfeng Zhang; Jiahang Cao; Honglei Chen; Renjing Xu (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXVI, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models - Hao Cheng; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LIX, 2024)

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting - Jiaxu Wang; Ziyi Zhang; Junhao He; Renjing Xu (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXXIII, 2024)

DONE: Dynamic Neural Representation Via Hyperplane Neural ODE - Jiaxu Wang; Bo Xu; Hao Cheng; Renjing Xu (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

EventRPG: Event Data Augmentation with Relevance Propagation Guidance - Mingyuan Sun; Donghao Zhang; Zongyuan Ge; Jiaxu Wang; Jia Li; Zheng Fang; Renjing Xu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation - Jiaxu Wang; Ziyi Zhang; Renjing Xu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting - Jiaxu Wang; Junhao He; Ziyi Zhang; Mingyuan Sun; Jingkai Sun; Renjing Xu (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs - Yiqun Duan; Qiang Zhang; Renjing Xu (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera - Jiahang Cao; Xu Zheng; Yuanhuiyi Lyu; Jiaxu Wang; Renjing Xu; Lin Wang (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning - Jingkai Sun; Qiang Zhang; Yiqun Duan; Xiaoyang Jiang; Chong Cheng; Renjing Xu (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Physical Priors Augmented Event-Based 3D Reconstruction - Jiaxu Wang; Junhao He; Ziyi Zhang; Renjing Xu (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Reinforcement Learning with Generalizable Gaussian Splatting - Jiaxu Wang; Qiang Zhang; Jingkai Sun; Jiahang Cao; Gang Han; Wen Zhao; Weining Zhang; Yecheng Shao; Yijie Guo; Renjing Xu (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks - Hao Cheng; Jiahang Cao; Erjia Xiao; Mengshu Sun; Renjing Xu (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance - Lingfeng Zhang; Qiang Zhang; Hao Wang; Erjia Xiao; Zixuan Jiang; Honglei Chen; Renjing Xu (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Whole-body Humanoid Robot Locomotion with Human Reference - Qiang Zhang; Peter Cui; David Yan; Jingkai Sun; Yiqun Duan; Gang Han; Wen Zhao; Weining Zhang; Yijie Guo; Arthur Zhang; Renjing Xu (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024, 2024)

Spiking Neural Network as Adaptive Event Stream Slicer - Jiahang Cao; Mingyuan Sun; Ziqing Wang; Hao Cheng; Qiang Zhang; Shibo Zhou; Renjing Xu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering - Jiaxu Wang; Jingkai Sun; Ziyi Zhang; Junhao He; Qiang Zhang; Mingyuan Sun; Renjing Xu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Spiking Denoising Diffusion Probabilistic Models - Jiahang Cao; Ziqing Wang; Hanzhong Guo; Hao Cheng; Qiang Zhang; Renjing Xu (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation - Jiaxu Wang; Ziyi Zhang; Renjing Xu (CoRR, 2024)

Physical Priors Augmented Event-Based 3D Reconstruction - Jiaxu Wang; Junhao He; Ziyi Zhang; Renjing Xu (CoRR, 2024)

Whole-body Humanoid Robot Locomotion with Human Reference - Qiang Zhang; Peter Cui; David Yan; Jingkai Sun; Yiqun Duan; Arthur Zhang; Renjing Xu (CoRR, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model - Hao Cheng; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (CoRR, 2024)

Decode Neural signal as Speech - Yiqian Yang; Yiqun Duan; Qiang Zhang; Renjing Xu; Hui Xiong (CoRR, 2024)

EventRPG: Event Data Augmentation with Relevance Propagation Guidance - Mingyuan Sun; Donghao Zhang; Zongyuan Ge; Jiaxu Wang; Jia Li; Zheng Fang; Renjing Xu (CoRR, 2024)

Spiking Wavelet Transformer - Yuetong Fang; Ziqing Wang; Lingfeng Zhang; Jiahang Cao; Honglei Chen; Renjing Xu (CoRR, 2024)

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance - Lingfeng Zhang; Qiang Zhang; Hao Wang; Erjia Xiao; Zixuan Jiang; Honglei Chen; Renjing Xu (CoRR, 2024)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs - Yiqun Duan; Qiang Zhang; Renjing Xu (CoRR, 2024)

Reinforcement Learning with Generalizable Gaussian Splatting - Jiaxu Wang; Qiang Zhang; Jingkai Sun; Jiahang Cao; Yecheng Shao; Renjing Xu (CoRR, 2024)

EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting - Jiaxu Wang; Junhao He; Ziyi Zhang; Mingyuan Sun; Jingkai Sun; Renjing Xu (CoRR, 2024)

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models - Hao Cheng; Erjia Xiao; Jiahang Cao; Le Yang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

MAD: Multi-Alignment MEG-to-Text Decoding - Yiqian Yang; Hyejeong Jo; Yiqun Duan; Qiang Zhang; Jinni Zhou; Won Hee Lee; Renjing Xu; Hui Xiong (CoRR, 2024)

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning - Jiahang Cao; Qiang Zhang; Ziqing Wang; Jiaxu Wang; Hao Cheng; Yecheng Shao; Wen Zhao; Gang Han; Yijie Guo; Renjing Xu (CoRR, 2024)

Query-based Semantic Gaussian Field for Scene Representation in Reinforcement Learning - Jiaxu Wang; Ziyi Zhang; Qiang Zhang; Jia Li; Jingkai Sun; Mingyuan Sun; Junhao He; Renjing Xu (CoRR, 2024)

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting - Jiaxu Wang; Ziyi Zhang; Junhao He; Renjing Xu (CoRR, 2024)

RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Prediction - Hao Wang; Lingfeng Zhang; Erjia Xiao; Xin Wang; Zhongrui Wang; Renjing Xu (CoRR, 2024)

Spiking Diffusion Models - Jiahang Cao; Hanzhong Guo; Ziqing Wang; Deming Zhou; Hao Cheng; Qiang Zhang; Renjing Xu (CoRR, 2024)

Reuse and Blend: Energy-Efficient Optical Neural Network Enabled by Weight Sharing - Bo Xu; Yuetong Fang; Shaoliang Yu; Renjing Xu (CoRR, 2024)

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models - Jiahang Cao; Qiang Zhang; Jingkai Sun; Jiaxu Wang; Hao Cheng; Yulin Li; Jun Ma; Yecheng Shao; Wen Zhao; Gang Han; Yijie Guo; Renjing Xu (CoRR, 2024)

Multi-Floor Zero-Shot Object Navigation Policy - Lingfeng Zhang; Hao Wang; Erjia Xiao; Xinyao Zhang; Qiang Zhang; Zixuan Jiang; Renjing Xu (CoRR, 2024)

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models - Hao Cheng; Erjia Xiao; Chengyuan Yu; Zhao Yao; Jiahang Cao; Qiang Zhang; Jiaxu Wang; Mengshu Sun; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Spiking Neural Network as Adaptive Event Stream Slicer - Jiahang Cao; Mingyuan Sun; Ziqing Wang; Hao Cheng; Qiang Zhang; Shibo Zhou; Renjing Xu (CoRR, 2024)

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering - Jiaxu Wang; Jingkai Sun; Junhao He; Ziyi Zhang; Qiang Zhang; Mingyuan Sun; Renjing Xu (CoRR, 2024)

NeuGPT: Unified multi-modal Neural GPT - Yiqian Yang; Yiqun Duan; Hyejeong Jo; Qiang Zhang; Renjing Xu; Oiwi Parker Jones; Xuming Hu; Chin-Teng Lin; Hui Xiong (CoRR, 2024)

Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction - Yi Gu; Dongjun Ye; Zhaorui Wang; Jiaxu Wang; Jiahang Cao; Renjing Xu (CoRR, 2024)

CIM-Based Parallel Fully FFNN Surface Code High-Level Decoder for Quantum Error Correction - Hao Wang; Erjia Xiao; Songhuan He; Zhongyi Ni; Lingfeng Zhang; Xiaokun Zhan; Yifei Cui; Jinguo Liu; Cheng Wang; Zhongrui Wang; Renjing Xu (CoRR, 2024)

Uncovering Vision Modality Threats in Image-to-Image Tasks - Hao Cheng; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning - Yi Gu; Zhaorui Wang; Dongjun Ye; Renjing Xu (CoRR, 2024)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network - Ziqing Wang; Yuetong Fang; Jiahang Cao; Hongwei Ren; Renjing Xu (CoRR, 2024)

Learning to Generate and Manipulate 3D Radiance Field by a Hierarchical Diffusion Framework with CLIP Latent - Jiaxu Wang; Ziyi Zhang; Renjing Xu (Comput. Graph. Forum, 2023)

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation - Zhihong Lin; Donghao Zhang; Danli Shi; Renjing Xu; Qingyi Tao; Lin Wu; Mingguang He; Zongyuan Ge (J. Biomed. Informatics, 2023)

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias - Hao Cheng; Jinhao Duan; Hui Li; Jiahang Cao; Ping Wang; Lyutianyang Zhang; Jize Zhang; Kaidi Xu; Renjing Xu (34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023, 2023)

Masked Spiking Transformer - Ziqing Wang; Yuetong Fang; Jiahang Cao; Qiang Zhang; Zhongrui Wang; Renjing Xu (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras - Hongwei Ren; Yue Zhou; Haotian Fu; Yulong Huang; Renjing Xu; Bojun Cheng (Proceedings of the 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON, Canada, 29 October 2023- 3 November 2023, 2023)

Spiking Denoising Diffusion Probabilistic Models - Jiahang Cao; Ziqing Wang; Hanzhong Guo; Hao Cheng; Qiang Zhang; Renjing Xu (CoRR, 2023)

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models - Jinhao Duan; Hao Cheng; Shiqi Wang; Chenan Wang; Alex Zavalny; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (CoRR, 2023)

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras - Hongwei Ren; Yue Zhou; Haotian Fu; Yulong Huang; Renjing Xu; Bojun Cheng (CoRR, 2023)

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera - Jiahang Cao; Xu Zheng; Yuanhuiyi Lyu; Jiaxu Wang; Renjing Xu; Lin Wang (CoRR, 2023)

Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning - Jingkai Sun; Qiang Zhang; Yiqun Duan; Xiaoyang Jiang; Chong Cheng; Renjing Xu (CoRR, 2023)

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias - Hao Cheng; Jinhao Duan; Hui Li; Lyutianyang Zhang; Jiahang Cao; Ping Wang; Jize Zhang; Kaidi Xu; Renjing Xu (CoRR, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network - Hao Cheng; Jiahang Cao; Erjia Xiao; Pu Zhao; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Fully Spiking Neural Network for Legged Robots - Xiaoyang Jiang; Qiang Zhang; Jingkai Sun; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures - Hao Cheng; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

ACT: Adversarial Consistency Models - Fei Kong; Jinhao Duan; Lichao Sun; Hao Cheng; Renjing Xu; Hengtao Shen; Xiaofeng Zhu; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision - Ziqing Wang; Yuetong Fang; Jiahang Cao; Renjing Xu (CoRR, 2023)

Efficient Spiking Transformer Enabled By Partial Information - Ziqing Wang; Yuetong Fang; Jiahang Cao; Zhongrui Wang; Renjing Xu (CoRR, 2022)