| 2026 | AAAI | CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs. | Zehua Wang, Shipeng Li, Buzhou Tang |
| 2026 | ACL | SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction. | Zehua Wang, Zhaojin Zhang, Boyu Qiu, Xiaolong Weng, Ying Xiong, Buzhou Tang, Min Zhang |
| 2026 | ACL | AnchorAlign: A Novel Anchor Alignment-enhanced Generative Method for Joint Named Entity Recognition and Relation Extraction. | Xiaolong Weng, Yuanyun Zhou, Boyu Qiu, Zehua Wang, Ying Xiong, Buzhou Tang |
| 2026 | ASPLOS | T-Control: An Efficient Dynamic Tensor Rematerialization System for DNN Training. | Zehua Wang, Junmin Xiao, Xiaochuan Deng, Huibing Wang, Hui Ma, Mingyi Li, Yunfei Pang, Guangming Tan |
| 2025 | ICCV | FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models. | Jiaqi Wu, Simin Chen, Jing Tang, Yuzhe Yang, Yiming Chen, Lixu Wang, Song Lin, Zehua Wang, Wei Chen, Zijian Tian |
| 2025 | INFOCOM | AVLLM-Based Multimodal Reasoning Segmentation and Detection Approach for Intelligent Driving. | Tantan Zhao, Fan Li, Zehua Wang, Wei Chen, Xinyu Huang |
| 2024 | ICS | A Coordinated Strategy for GNN Combining Computational Graph and Operator Optimizations. | Mingyi Li, Junmin Xiao, Kewei Zhang, Zhiheng Lin, Chaoyang Shui, Ke Meng, Zehua Wang, Yunfei Pang, Guangming Tan |
| 2024 | NAACL | Low-code LLM: Graphical User Interface over Large Language Models. | Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei |
| 2024 | SP | POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance. | Rui Xi, Zehua Wang, Karthik Pattabiraman |
| 2023 | MICCAI | FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation. | Minghui Chen, Meirui Jiang, Qi Dou, Zehua Wang, Xiaoxiao Li |
| 2023 | Mobiquitous | RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing. | Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung |
| 2022 | ICSOC | DeepSCJD: An Online Deep Learning-Based Model for Secure Collaborative Job Dispatching in Edge Computing. | Zhaoyang Yu, Sinong Zhao, Tongtong Su, Wenwen Liu, Xiaoguang Liu, Gang Wang, Zehua Wang, Victor C. M. Leung |
| 2022 | IWQoS | Accelerating Blockchain-enabled Distributed Machine Learning by Proof of Useful Work. | Yao Du, Cyril Leung, Zehua Wang, Victor C. M. Leung |
| 2022 | MICCAI | DeMed: A Novel and Efficient Decentralized Learning Framework for Medical Images Classification on Blockchain. | Garima Aggarwal, Chun-Yin Huang, Di Fan, Xiaoxiao Li, Zehua Wang |
| 2017 | CloudCom | A Novel Game Map Preloading and Resource Provisioning Scheme in Cooperative Cloud Networks. | Ziqiao Lin, Zehua Wang, Wei Cai, Victor C. M. Leung |
| 2017 | ICCCN | Connectivity-Aware Task Outsourcing and Scheduling in D2D Networks. | Zhen Hong, Zehua Wang, Wei Cai, Victor C. M. Leung |
| 2017 | SmartComp | A Smart Map Sharing and Preloading Scheme for Mobile Cloud Gaming in D2D Networks. | Ziqiao Lin, Zehua Wang, Wei Cai, Victor C. M. Leung |
| 2016 | ICARCV | Adaptive output tracking of switched nonlinear systems with unmodeled dynamics. | Zehua Wang, Jie Lian, Dong Wang, Wei Wang |
| 2015 | PIMRC | Optimal macrocell partitioning for redistributed fractional frequency reuse in heterogeneous networks. | Zehua Wang, Xiaodong Xu, Rao Zhang |
| 2014 | GLOBECOM | Joint power and channel allocation for multimedia content delivery using millimeter wave in smart home networks. | Bojiang Ma, Binglai Niu, Zehua Wang, Vincent W. S. Wong |
| 2011 | GLOBECOM | PSR: Proactive Source Routing in Mobile Ad Hoc Networks. | Zehua Wang, Cheng Li, Yuanzhu Chen |