| 2026 | ACL | EMTIR-GRPO: Efficient Multi-Tool Augmented Large Language Models via Reinforcement Learning. | Shixin Jiang, Zhihao Zhu, Jiafeng Liang, Yang Wu, Ming Liu, Bing Qin |
| 2025 | CogSci | Enhancing Objectivity in LLM-as-a-Judge through Perturbation Injection. | Zhihao Zhu, Haoran Liao, Yaohui Jin |
| 2025 | CogSci | FD-Bench: Fine-Grained Evaluating the Decision-Making Capability of LLM Agents in Dynamic Scenarios. | Zhihao Zhu, Yifan Zheng, Yaohui Jin |
| 2025 | EMNLP | Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework. | Hongyi Tang, Zhihao Zhu, Yi Yang |
| 2025 | FUSION | Building Corner and NLOS Target Parameter Estimation Based on Diffraction Signal Utilization. | Yupeng Yu, Shisheng Guo, Zhihao Zhu, Zihan Xu, Yisen Zhou, Yufei Wei, Guolong Cui |
| 2025 | ICASSP | TopoRefine: Iterative Refinement with Reasoning Topology as High-Level Feedback. | Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | ICASSP | Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models. | Haoran Liao, Jidong Tian, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2025 | ICASSP | Faithful Self-Refinement in Mathematical Reasoning via Progressive Back-Translation. | Haoran Liao, Zhihao Zhu, Shaohua Hu, Hao He, Yaohui Jin |
| 2025 | ICCV | PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation. | Zhihao Zhu, Yifan Zheng, Siyu Pan, Yaohui Jin, Yao Mu |
| 2025 | ICLR | TDDBench: A Benchmark for Training data detection. | Zhihao Zhu, Yi Yang, Defu Lian |
| 2025 | NAACL | Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models. | Haoran Liao, Shaohua Hu, Zhihao Zhu, Hao He, Yaohui Jin |
| 2024 | IGARSS | Compressive Sensing-Based Two-Step Multipath Suppression Method for MIMO Through-the-Wall Radar Imaging. | Zhihao Zhu, Jiahui Chen, Shisheng Guo, Guolong Cui, Xiaobo Yang |
| 2024 | INFOCOM | Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method. | Zhihao Zhu, Jiafan He, Luyang Hou, Lianming Xu, Wendi Zhu, Li Wang |
| 2024 | IECON | Modeling and Digital Implementing for Charge Control of LLC Resonant Converter with Duty Cycle Balance. | Zhihao Zhu, Junming Zhang |
| 2024 | IGARSS | LOS and NLOS Targets Localization in an L-Shaped Corner. | Jiahui Chen, Zhihao Zhu, Chen Qiu, Peilun Wu, Shisheng Guo, Guolong Cui, Xiaobo Yang |
| 2023 | WWW | Membership Inference Attacks Against Sequential Recommender Systems. | Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen |
| 2023 | WWW | AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. | Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen |
| 2022 | ACCV | What Role Does Data Augmentation Play in Knowledge Distillation? | Wei Li, Shitong Shao, Weiyan Liu, Ziming Qiu, Zhihao Zhu, Wei Huan |
| 2022 | ICRA | CCRobot-V: A Silkworm-Like Cooperative Cable-Climbing Robotic System for Cable Inspection and Maintenance. | Zhenliang Zheng, Ning Ding, Huaping Chen, Xiaoli Hu, Zhihao Zhu, Xueqi Fu, Wenchao Zhang, Lin Zhang, Sarsenbek Hazken, Ziya Wang, Min Zhao |
| 2022 | WACV | FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication. | Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Ragunathan Raj Rajkumar |
| 2021 | KDD | Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen |
| 2021 | SIGIR | Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan |
| 2020 | RTCSA | Error Vulnerabilities and Fault Recovery in Deep-Learning Frameworks for Hardware Accelerators. | Iljoo Baek, Zhihao Zhu, Sourav Panda, Nandha Kishore Srinivasan, Soheil Samii, Ragunathan Raj Rajkumar |
| 2019 | NPC | MMSR: A Multi-model Super Resolution Framework. | Ninghui Yuan, Zhihao Zhu, Xinzhou Wu, Li Shen |
| 2018 | ACCV | Automatic Graphics Program Generation Using Attention-Based Hierarchical Decoder. | Zhihao Zhu, Zhan Xue, Zejian Yuan |
| 2018 | BMVC | Think and Tell: Preview Network for Image Captioning. | Zhihao Zhu, Zhan Xue, Zejian Yuan |
| 2018 | ICIP | Topic-Guided Attention for Image Captioning. | Zhihao Zhu, Zhan Xue, Zejian Yuan |