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Kaishen Wang
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2020 – today
- 2026
- [j3]Yue Cao, Quansong He, Kaishen Wang, Jianlong Xiong, Zhang Yi, Tao He:
Enhancing feature fusion of U-like networks with dynamic skip connections. Medical Image Anal. 110: 104010 (2026) - [c7]Tianqi Xu, Yashi Zhu, Quansong He, Yue Cao, Kaishen Wang, Zhang Yi, Tao He:
CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation. AAAI 2026: 11406-11414 - [c6]Tiejin Chen, Kaishen Wang, Hua Wei:
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models. EACL (Volume 1: Long Papers) 2026: 4328-4344 - [i10]Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang:
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing. CoRR abs/2602.03845 (2026) - [i9]Kaishen Wang, Heng Huang:
Unsafe by Reciprocity: How Generation-Understanding Coupling Undermines Safety in Unified Multimodal Models. CoRR abs/2603.27332 (2026) - 2025
- [c5]Kaishen Wang, Hengrui Gu, Meijun Gao, Kaixiong Zhou:
DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models. ICLR 2025 - [c4]Quansong He, Xiangde Min, Kaishen Wang, Tao He:
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks. ICML 2025 - [i8]Quansong He, Xiangde Min
, Kaishen Wang, Tao He:
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks. CoRR abs/2506.05821 (2025) - [i7]Le Yu, Kaishen Wang, Jianlong Xiong, Yue Cao, Tao He:
HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models. CoRR abs/2506.17587 (2025) - [i6]Yue Cao, Quansong He, Kaishen Wang, Jianlong Xiong, Tao He:
Enhancing Feature Fusion of U-like Networks with Dynamic Skip Connections. CoRR abs/2509.14610 (2025) - [i5]Kaishen Wang, Ruibo Chen, Tong Zheng, Heng Huang:
ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation. CoRR abs/2511.11483 (2025) - [i4]Tianyi Xiong, Yi Ge, Ming Li, Zuolong Zhang, Pranav Kulkarni, Kaishen Wang, Qi He, Zeying Zhu, Chenxi Liu, Ruibo Chen, Tong Zheng, Yanshuo Chen, Xiyao Wang, Renrui Zhang, Wenhu Chen, Heng Huang:
Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following. CoRR abs/2511.21662 (2025) - 2024
- [j2]Qingyang Zhang
Enhancing Multi-agent Coordination via Dual-channel Consensus. Mach. Intell. Res. 21(2): 349-368 (2024) - [j1]Jingqing Ruan
Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making. Mach. Intell. Res. 21(4): 782-800 (2024) - [c3]Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He:
Strengthening Layer Interaction via Dynamic Layer Attention. IJCAI 2024: 5073-5081 - [i3]Kaishen Wang, Xun Xia, Jian Liu, Zhang Yi, Tao He:
Strengthening Layer Interaction via Dynamic Layer Attention. CoRR abs/2406.13392 (2024) - [i2]Tiejin Chen, Kaishen Wang, Hua Wei:
Zer0-Jack: A Memory-efficient Gradient-based Jailbreaking Method for Black-box Multi-modal Large Language Models. CoRR abs/2411.07559 (2024) - 2023
- [c2]Kaishen Wang, Jingqing Ruan, Qingyang Zhang, Dengpeng Xing:
Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery. ICONIP (7) 2023: 76-87 - [i1]Jingqing Ruan, Kaishen Wang, Qingyang Zhang, Dengpeng Xing, Bo Xu:
Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making. CoRR abs/2312.11027 (2023)
2010 – 2019
- 2019
- [c1]Zane Ma, Joshua Reynolds, Joseph Dickinson, Kaishen Wang, Taylor Judd, Joseph D. Barnes, Joshua Mason, Michael D. Bailey:
The Impact of Secure Transport Protocols on Phishing Efficacy. CSET @ USENIX Security Symposium 2019
Coauthor Index
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