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

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Jiahang Cao; Ping Wang; Lyutianyang Zhang; Jize Zhang; Kaidi Xu; Renjing Xu (BMVC, 2023)

Masked Spiking Transformer. - Ziqing Wang; Yuetong Fang; Jiahang Cao; Qiang Zhang 029; Zhongrui Wang; Renjing Xu (ICCV, 2023)

TTPOINT: A Tensorized Point Cloud Network for Lightweight Action Recognition with Event Cameras. - Hongwei Ren; Yue Zhou 010; Haotian Fu; Yulong Huang; Renjing Xu; Bojun Cheng (ACM Multimedia, 2023)

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; 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)

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. - Hao Cheng 015; 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 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Fully Spiking Neural Network for Legged Robots. - Xiaoyang Jiang; Qiang Zhang 029; Jingkai Sun; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

ACT: Adversarial Consistency Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; 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)

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 001; Mingguang He; Zongyuan Ge (J. Biomed. Informatics, 2023)

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)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; Alex Zavalny; Chenan Wang; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (ACL (1), 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CVPR, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (ECCV (59), 2024)

Spiking Wavelet Transformer. - Yuetong Fang; Ziqing Wang; Lingfeng Zhang; Jiahang Cao; Honglei Chen; Renjing Xu (ECCV (76), 2024)

PFGS: High Fidelity Point Cloud Rendering via Feature Splatting. - Jiaxu Wang; Ziyi Zhang; Junhao He; Renjing Xu (ECCV (83), 2024)

DONE: Dynamic Neural Representation Via Hyperplane Neural ODE. - Jiaxu Wang; Bo Xu; Hao Cheng 015; Renjing Xu (ICASSP, 2024)

EventRPG: Event Data Augmentation with Relevance Propagation Guidance. - Mingyuan Sun; Donghao Zhang; Zongyuan Ge; Jiaxu Wang; Jia Li; Zheng Fang 001; Renjing Xu (ICLR, 2024)

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

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

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. - Jiahang Cao; Xu Zheng 002; Yuanhuiyi Lyu; Jiaxu Wang; Renjing Xu; Lin Wang 025 (ICRA, 2024)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs. - Yiqun Duan; Qiang Zhang 029; Renjing Xu (ICRA, 2024)

Prompt, Plan, Perform: LLM-based Humanoid Control via Quantized Imitation Learning. - Jingkai Sun; Qiang Zhang 029; Yiqun Duan; Xiaoyang Jiang; Chong Cheng; Renjing Xu (ICRA, 2024)

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

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Renjing Xu (IROS, 2024)

Reinforcement Learning with Generalizable Gaussian Splatting. - Jiaxu Wang; Qiang Zhang 029; Jingkai Sun; Jiahang Cao; Gang Han; Wen Zhao; Weining Zhang; Yecheng Shao; Yijie Guo; Renjing Xu (IROS, 2024)

Whole-body Humanoid Robot Locomotion with Human Reference. - Qiang Zhang 029; Peter Cui; David Yan; Jingkai Sun; Yiqun Duan; Gang Han; Wen Zhao; Weining Zhang; Yijie Guo; Arthur Zhang; Renjing Xu (IROS, 2024)

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance. - Lingfeng Zhang; Qiang Zhang 029; Hao Wang; Erjia Xiao; Zixuan Jiang; Honglei Chen; Renjing Xu (IROS, 2024)

Spiking Neural Network as Adaptive Event Stream Slicer. - Jiahang Cao; Mingyuan Sun; Ziqing Wang; Hao Cheng 015; Qiang Zhang 029; Shibo Zhou; Renjing Xu (NeurIPS, 2024)

DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering. - Jiaxu Wang; Jingkai Sun; Ziyi Zhang; Junhao He; Qiang Zhang 019; Mingyuan Sun; Renjing Xu (NeurIPS, 2024)

Spiking Denoising Diffusion Probabilistic Models. - Jiahang Cao; Ziqing Wang; Hanzhong Guo; Hao Cheng 015; Qiang Zhang 029; Renjing Xu (WACV, 2024)

Whole-body Humanoid Robot Locomotion with Human Reference. - Qiang Zhang 029; 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 015; 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 029; Renjing Xu; Hui Xiong 001 (CoRR, 2024)

Reinforcement Learning with Generalizable Gaussian Splatting. - Jiaxu Wang; Qiang Zhang 029; Jingkai Sun; Jiahang Cao; Yecheng Shao; Renjing Xu (CoRR, 2024)

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models. - Hao Cheng 015; 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 029; Jinni Zhou; Won Hee Lee; Renjing Xu; Hui Xiong 001 (CoRR, 2024)

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. - Jiahang Cao; Qiang Zhang 029; Ziqing Wang; Jiaxu Wang; Hao Cheng 015; 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 029; Jia Li; Jingkai Sun; Mingyuan Sun; 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)

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 029; Jingkai Sun; Jiaxu Wang; Hao Cheng 015; Yulin Li; Jun Ma 008; 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 029; Zixuan Jiang; Renjing Xu (CoRR, 2024)

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. - Hao Cheng 015; Erjia Xiao; Chengyuan Yu; Zhao Yao; Jiahang Cao; Qiang Zhang 029; Jiaxu Wang; Mengshu Sun; Kaidi Xu; Jindong Gu; 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 029; Mingyuan Sun; Renjing Xu (CoRR, 2024)

NeuGPT: Unified multi-modal Neural GPT. - Yiqian Yang; Yiqun Duan; Hyejeong Jo; Qiang Zhang 029; Renjing Xu; Oiwi Parker Jones; Xuming Hu; Chin-Teng Lin; Hui Xiong 001 (CoRR, 2024)

Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction. - Yi Gu; Dongjun Ye; Zhaorui Wang 006; Jiaxu Wang; Jiahang Cao; Renjing Xu (CoRR, 2024)

Uncovering Vision Modality Threats in Image-to-Image Tasks. - Hao Cheng 015; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang 029; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning. - Yi Gu; Zhaorui Wang 006; 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)

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks. - Ziqing Wang; Yuetong Fang; Jiahang Cao; Hongwei Ren; Renjing Xu (AAAI, 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 004; Jing Zhang; Zhongyuan Wang 006; Shanghang Zhang; Renjing Xu (ACL (1), 2025)

Reuse and Blend: A Weight-Sharing Energy-Efficient Optical Neural Network. - Bo Xu; Yuetong Fang; Shaoliang Yu; Renjing Xu (ASP-DAC, 2025)

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models. - Hao Cheng; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CVPR, 2025)

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 (DATE, 2025)

Fully Spiking Neural Network for Legged Robots. - Xiaoyang Jiang; Qiang Zhang 029; Jingkai Sun; Jiahang Cao; Jingtong Ma; Renjing Xu (ICASSP, 2025)

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

Optimal Brain Apoptosis. - Mingyuan Sun; Zheng Fang 001; Jiaxu Wang; Junjie Jiang; Delei Kong; Chenming Hu; Yuetong Fang; Renjing Xu (ICLR, 2025)

Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras. - Jingkai Sun; Qiang Zhang 029; Jiaxu Wang; Jiahang Cao; Renjing Xu (CoRR, 2025)

The Meta-Representation Hypothesis. - Zhengpeng Xie; Jiahang Cao; Qiang Zhang; Jianxiong Zhang; Changwei Wang 001; 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 015; 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)

Spiking Diffusion Models. - Jiahang Cao; Hanzhong Guo; Ziqing Wang; Deming Zhou; Hao Cheng 015; Qiang Zhang 029; Renjing Xu (IEEE Trans. Artif. Intell., 2025)

Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion. - Qiang Zhang 029; 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 029; 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 029; Gang Han; Jingkai Sun; Wen Zhao; Jiahang Cao; Jiaxu Wang; Hao Cheng 015; 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 029; 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 002; Kaidi Xu; Mengshu Sun; Jindong Gu; Renjing Xu (CoRR, 2025)

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition. - Jiahang Cao; Qiang Zhang 029; Hanzhong Guo; Jiaxu Wang; Hao Cheng 015; Renjing Xu (CoRR, 2025)

RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots. - Zhang Zhang; Qiang Zhang; Wei Cui; Shuai Shi; Yijie Guo; Gang Han; Wen Zhao; Hengle Ren; Renjing Xu; Jian Tang (CoRR, 2025)

Occupancy World Model for Robots. - Zhang Zhang; Qiang Zhang 029; Wei Cui; Shuai Shi; Yijie Guo; Gang Han; Wen Zhao; Jingkai Sun; Jiahang Cao; Jiaxu Wang; Hao Cheng 015; Xiaozhu Ju; et al. (CoRR, 2025)

Spiking Transformers Need High Frequency Information. - Yuetong Fang; Deming Zhou; Ziqing Wang; Hongwei Ren; ZeCui Zeng; Lusong Li; Shibo Zhou; Renjing Xu (CoRR, 2025)

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization. - Zixuan Jiang; Renjing Xu (CoRR, 2025)

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms. - Shiyi Liu; Buwen Liang; Yuetong Fang; Zixuan Jiang; Renjing Xu (CoRR, 2025)

Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity. - Mingyuan Sun; Zheng Fang 001; Jiaxu Wang; Kunyi Zhang; Qiang Zhang; Renjing Xu (CoRR, 2025)

TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling. - Deming Zhou; Yuetong Fang; Zhaorui Wang 006; Renjing Xu (CoRR, 2025)