Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. - Junming Yang; Yaoqi Li; Xuanyu Chen; Jiahang Cao; Kangkang Jiang (CoRR, 2019)

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. - Handong Ma; Jiahang Cao; Yuchen Fang; Weinan Zhang 001; Wenbo Sheng; Shaodian Zhang; Yong Yu 001 (KDD, 2022)

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)

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)

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)

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

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)

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)

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)

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)

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

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)

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)

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)

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)

World Model-based Perception for Visual Legged Locomotion. - Hang Lai; Jiahang Cao; Jiafeng Xu; Hongtao Wu; Yunfeng Lin; Tao Kong; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots. - Peilin Wu; Weiji Xie; Jiahang Cao; Hang Lai; Weinan Zhang 001 (CoRR, 2024)

E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework. - Yiqun Duan; Qiang Zhang 029; Jinzhao Zhou; Jingkai Sun; Xiaowei Jiang; Jiahang Cao; Jiaxu Wang; Yiqian Yang; Wen Zhao; Gang Han; Yijie Guo; Chin-Teng Lin (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)

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

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. - Jiahang Cao; Jinyuan Fang; Zaiqiao Meng; Shangsong Liang (ACM Comput. Surv., 2024)

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

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)

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)

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)

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations. - Jingxiao Chen; Xinyao Li; Jiahang Cao; Zhengbang Zhu; Wentao Dong; Minghuan Liu; Ying Wen 001; Yong Yu 001; Liqing Zhang; Weinan Zhang 001 (CoRR, 2025)

RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation. - Haichao Liu; Sikai Guo; Pengfei Mai; Jiahang Cao; Haoang Li; Jun Ma 008 (CoRR, 2025)

PALo: Learning Posture-Aware Locomotion for Quadruped Robots. - Xiangyu Miao; Jun Sun; Hang Lai; Xinpeng Di; Jiahang Cao; Yong Yu 001; Weinan Zhang 001 (CoRR, 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)

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)

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)

LOVON: Legged Open-Vocabulary Object Navigator. - Daojie Peng; Jiahang Cao; Qiang Zhang; Jun Ma (CoRR, 2025)

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots. - Wei Cui; Haoyu Wang; Wenkang Qin; Yijie Guo; Gang Han; Wen Zhao; Jiahang Cao; Zhang Zhang; Jiaru Zhong; Jingkai Sun; Pihai Sun; Shuai Shi; et al. (CoRR, 2025)

DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement. - Chang Huang; Jiahang Cao; Jun Ma 008; Kieren Yu; Cong Li; Huayong Yang; Kaishun Wu (CoRR, 2025)

G2-SDF: Geometry-Guided Neural Signed Distance Fields for Scalable and Detailed Reconstruction. - Kai Chen 006; Jiahang Cao; Yulin Li; Haoang Li; Jun Ma 008 (IEEE Robotics Autom. Lett., 2025)