Jiahang Cao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Spiking Neural Networks

Top Venues

Publications

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
Spiking Denoising Diffusion Probabilistic Models. WACV (2024)
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 (2024)
Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu
Spiking Wavelet Transformer. CoRR (2024)
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 (2024)
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)
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 (2024)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. 56 (6) (2024)
Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Yecheng Shao, Renjing Xu
Reinforcement Learning with Generalizable Gaussian Splatting. CoRR (2024)
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 (2023)
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 (2023)
Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR (2023)
Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu
Masked Spiking Transformer. ICCV (2023)
Ziqing Wang, Yuetong Fang, Jiahang Cao, Renjing Xu
Bursting Spikes: Efficient and High-performance SNNs for Event-based Vision. CoRR (2023)
Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR (2023)
Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu
Spiking Denoising Diffusion Probabilistic Models. CoRR (2023)
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)
Ziqing Wang, Yuetong Fang, Jiahang Cao, Zhongrui Wang, Renjing Xu
Efficient Spiking Transformer Enabled By Partial Information. CoRR (2022)
Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR (2022)
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)
Junming Yang, Yaoqi Li, Xuanyu Chen, Jiahang Cao, Kangkang Jiang
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data. CoRR (2019)