Zhihao Dou

According to our database, Zhihao Dou authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DSADF: Thinking Fast and Slow for Decision Making.

Zhihao Dou, Dongfei Cui, Jun Yan, Weida Wang, Benteng Chen, Haoming Wang, Zeke Xie, Shufei Zhang

Int. J. Comput. Vis., June, 2026

AgentCE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments.

Wang Yang, Chaoda Song, Xinpeng Li, Debargha Ganguly, Chuang Ma, Shouren Wang, Zhihao Dou, Yuli Zhou, Vipin Chaudhary, Xiaotian Han

CoRR, April, 2026

ProtoGuard-SL: Prototype Consistency Based Backdoor Defense for Vertical Split Learning.

Yuhan Shui, Ruobin Jin, Zhihao Dou, Zhiqiang Gao

CoRR, April, 2026

Frequency-Modulated Visual Restoration for Matryoshka Large Multimodal Models.

Qingtao Pan, Zhihao Dou, Shuo Li

CoRR, March, 2026

DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning.

Zhongwei Wan, Yun Shen, Zhihao Dou, Donghao Zhou, Yu Zhang, Xin Wang, Hui Shen, Jing Xiong, Chaofan Tao, Zixuan Zhong, Peizhou Huang, Mi Zhang

CoRR, February, 2026

MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents.

Peizhou Huang, Zixuan Zhong, Zhongwei Wan, Donghao Zhou, Samiul Alam, Xin Wang, Zexin Li, Zhihao Dou, Li Zhu, Jing Xiong, Chaofan Tao, Yan Xu, Dimitrios Dimitriadis, Tuo Zhang, Mi Zhang

CoRR, January, 2026

SecureSplit: Mitigating Backdoor Attacks in Split Learning.

Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang

Proceedings of the ACM Web Conference 2026, 2026

2025

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning.

Zhihao Dou, Qinjian Zhao, Zhongwei Wan, Dinggen Zhang, Weida Wang, Towsif Raiyan, Benteng Chen, Qingtao Pan, Yang Ouyang, Zhiqiang Gao, Shufei Zhang, Sumon Biswas

CoRR, October, 2025

SafeBehavior: Simulating Human-Like Multistage Reasoning to Mitigate Jailbreak Attacks in Large Language Models.

Qinjian Zhao, Jiaqi Wang, Zhiqiang Gao, Zhihao Dou, Belal Abuhaija, Kaizhu Huang

CoRR, September, 2025

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics.

Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqi Geng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng

CoRR, August, 2025

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning.

Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan

CoRR, June, 2025

Discrete Wavelet Transform-Based Capsule Network for Hyperspectral Image Classification.

Zhiqiang Gao, Jiaqi Wang, Hangchi Shen, Zhihao Dou, Xiangbo Zhang, Kaizhu Huang

CoRR, January, 2025

Defending Against Jailbreak Through Early Exit Generation of Large Language Models.

Chongwen Zhao, Zhihao Dou, Kaizhu Huang

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Toward Malicious Clients Detection in Federated Learning.

Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang

Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025

2024

EEG-Defender: Defending against Jailbreak through Early Exit Generation of Large Language Models.

Chongwen Zhao, Zhihao Dou, Kaizhu Huang

CoRR, 2024

Adversarial Attacks to Multi-Modal Models.

Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

2022

Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint.

Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker

Neurocomputing, 2022

2020

Self-supervised asymmetric deep hashing with margin-scalable constraint for image retrieval.

Zhengyang Yu, Zhihao Dou, Song Wu

CoRR, 2020