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Jiahang Cao
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2020 – today
- 2025
- [j2]Jiahang Cao
, Hanzhong Guo
Spiking Diffusion Models. IEEE Trans. Artif. Intell. 6(1): 132-143 (2025) - [c11]Ziqing Wang, Yuetong Fang, Jiahang Cao, Hongwei Ren, Renjing Xu:
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks. AAAI 2025: 1583-1591 - [i37]Jingkai Sun, Qiang Zhang, Jiaxu Wang, Jiahang Cao, Renjing Xu:
Event Masked Autoencoder: Point-wise Action Recognition with Event-Based Cameras. CoRR abs/2501.01040 (2025) - [i36]Zhengpeng Xie, Jiahang Cao, Qiang Zhang, Jianxiong Zhang, Changwei Wang, Renjing Xu:
The Meta-Representation Hypothesis. CoRR abs/2501.02481 (2025) - [i35]Zhengpeng Xie, Jiahang Cao, Yulong Zhang, Qiang Zhang, Renjing Xu:
A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning. CoRR abs/2501.17384 (2025) - [i34]Jingxiao Chen, Xinyao Li, Jiahang Cao, Zhengbang Zhu, Wentao Dong, Minghuan Liu, Ying Wen, Yong Yu, Liqing Zhang, Weinan Zhang:
RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations. CoRR abs/2502.13134 (2025) - [i33]Haichao Liu, Sikai Guo, Pengfei Mai, Jiahang Cao, Haoang Li, Jun Ma:
RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation. CoRR abs/2503.01616 (2025) - [i32]Xiangyu Miao, Jun Sun, Hang Lai, Xinpeng Di, Jiahang Cao, Yong Yu, Weinan Zhang:
PALo: Learning Posture-Aware Locomotion for Quadruped Robots. CoRR abs/2503.04462 (2025) - [i31]Qiang Zhang, Gang Han, Jingkai Sun, Wen Zhao, Chenghao Sun, Jiahang Cao, Jiaxu Wang, Yijie Guo, Renjing Xu:
Distillation-PPO: A Novel Two-Stage Reinforcement Learning Framework for Humanoid Robot Perceptive Locomotion. CoRR abs/2503.08299 (2025) - [i30]Jingkai Sun, Qiang Zhang, Gang Han, Wen Zhao, Zhe Yong, Yan He, Jiaxu Wang, Jiahang Cao, Yijie Guo, Renjing Xu:
Trinity: A Modular Humanoid Robot AI System. CoRR abs/2503.08338 (2025) - [i29]Qiang Zhang, Gang Han, Jingkai Sun, Wen Zhao, Jiahang Cao, Jiaxu Wang, Hao Cheng, Lingfeng Zhang, Yijie Guo, Renjing Xu:
LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures. CoRR abs/2503.08349 (2025) - [i28]Qiang Zhang, Zhang Zhang, Wei Cui, Jingkai Sun, Jiahang Cao, Yijie Guo, Gang Han, Wen Zhao, Jiaxu Wang, Chenghao Sun, Lingfeng Zhang, Hao Cheng, Yujie Chen, Lin Wang, Jian Tang, Renjing Xu:
HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots. CoRR abs/2503.09010 (2025) - [i27]Qiang Zhang, Jiahang Cao, Jingkai Sun, Yecheng Shao, Gang Han, Wen Zhao, Yijie Guo, Renjing Xu:
ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network. CoRR abs/2503.09985 (2025) - [i26]Yi Zhang, Qiang Zhang, Xiaozhu Ju, Zhaoyang Liu, Jilei Mao, Jingkai Sun, Jintao Wu, Shixiong Gao, Shihan Cai, Zhiyuan Qin, Linkai Liang, Jiaxu Wang, Yiqun Duan, Jiahang Cao, Renjing Xu, Jian Tang:
EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks. CoRR abs/2503.11089 (2025) - [i25]Jiahang Cao, Qiang Zhang, Hanzhong Guo, Jiaxu Wang, Hao Cheng, Renjing Xu:
Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition. CoRR abs/2503.12466 (2025) - 2024
- [j1]Jiahang Cao
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. 56(6): 159:1-159:42 (2024) - [c10]Yuetong Fang
Spiking Wavelet Transformer. ECCV (76) 2024: 19-37 - [c9]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. ECCV (59) 2024: 179-196 - [c8]Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang:
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. ICRA 2024: 9026-9032 - [c7]Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Gang Han, Wen Zhao, Weining Zhang, Yecheng Shao, Yijie Guo, Renjing Xu:
Reinforcement Learning with Generalizable Gaussian Splatting. IROS 2024: 435-441 - [c6]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu:
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. IROS 2024: 442-449 - [c5]Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu:
Spiking Neural Network as Adaptive Event Stream Slicer. NeurIPS 2024 - [c4]Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Denoising Diffusion Probabilistic Models. WACV 2024: 4900-4909 - [i24]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR abs/2402.19150 (2024) - [i23]Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu:
Spiking Wavelet Transformer. CoRR abs/2403.11138 (2024) - [i22]Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Yecheng Shao, Renjing Xu:
Reinforcement Learning with Generalizable Gaussian Splatting. CoRR abs/2404.07950 (2024) - [i21]Hao Cheng, Erjia Xiao, Jiahang Cao, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu:
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models. CoRR abs/2405.20090 (2024) - [i20]Jiahang Cao, Qiang Zhang, Ziqing Wang, Jiaxu Wang, Hao Cheng, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. CoRR abs/2406.02013 (2024) - [i19]Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Diffusion Models. CoRR abs/2408.16467 (2024) - [i18]Jiahang Cao, Qiang Zhang, Jingkai Sun, Jiaxu Wang, Hao Cheng, Yulin Li, Jun Ma, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models. CoRR abs/2409.07163 (2024) - [i17]Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu:
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. CoRR abs/2409.13174 (2024) - [i16]Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang:
World Model-based Perception for Visual Legged Locomotion. CoRR abs/2409.16784 (2024) - [i15]Peilin Wu, Weiji Xie, Jiahang Cao, Hang Lai, Weinan Zhang:
LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots. CoRR abs/2409.17992 (2024) - [i14]Yiqun Duan, Qiang Zhang, Jinzhao Zhou, Jingkai Sun, Xiaowei Jiang, Jiahang Cao, Jiaxu Wang, Yiqian Yang, Wen Zhao, Gang Han, Yijie Guo, Chin-Teng Lin:
E2H: A Two-Stage Non-Invasive Neural Signal Driven Humanoid Robotic Whole-Body Control Framework. CoRR abs/2410.02141 (2024) - [i13]Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu:
Spiking Neural Network as Adaptive Event Stream Slicer. CoRR abs/2410.02249 (2024) - [i12]Yi Gu, Dongjun Ye, Zhaorui Wang, Jiaxu Wang, Jiahang Cao, Renjing Xu:
Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction. CoRR abs/2411.13620 (2024) - [i11]Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu:
Uncovering Vision Modality Threats in Image-to-Image Tasks. CoRR abs/2412.05538 (2024) - [i10]Ziqing Wang, Yuetong Fang, Jiahang Cao, Hongwei Ren, Renjing Xu:
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network. CoRR abs/2412.16219 (2024) - 2023
- [c3]Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC 2023: 296 - [c2]Ziqing Wang, Yuetong Fang, Jiahang Cao
Masked Spiking Transformer. ICCV 2023: 1761-1771 - [i9]Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Denoising Diffusion Probabilistic Models. CoRR abs/2306.17046 (2023) - [i8]Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang:
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. CoRR abs/2309.09297 (2023) - [i7]Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR abs/2309.13245 (2023) - [i6]Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR abs/2309.13302 (2023) - [i5]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR abs/2311.12060 (2023) - [i4]Ziqing Wang, Yuetong Fang, Jiahang Cao, Renjing Xu:
Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision. CoRR abs/2311.14265 (2023) - 2022
- [c1]Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu:
Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. KDD 2022: 3468-3476 - [i3]Ziqing Wang, Yuetong Fang, Jiahang Cao, Zhongrui Wang, Renjing Xu:
Efficient Spiking Transformer Enabled By Partial Information. CoRR abs/2210.01208 (2022) - [i2]Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang:
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR abs/2211.03536 (2022)
2010 – 2019
- 2019
- [i1]Junming Yang, Yaoqi Li, Xuanyu Chen, Jiahang Cao, Kangkang Jiang:
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. CoRR abs/1911.02502 (2019)
Coauthor Index
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