个人简介

华中科技大学计算机学院博士后，博士。2021年在华中科技大学计算机学院获得博士学位，2016年在电子科技大学计算机学院获学士学位，2018-2021年在香港理工大学进行访问研究，2023年在南洋理工大学进行访问研究。现为IEEE和ACM会员，中国计算机学会会员。作为项目负责人主持国家自然科学基金项目，参与湖北省重点研发计划、蚂蚁基金等多项项目。在国内外权威期刊和会议发表论文50余篇，其中以第一作者和通讯作者在CCF A类期刊/会议发表论文20篇，申请发明专利7项，获授权4项。目前主要从事分布式机器学习、联邦学习、人工智能安全等方面的研究工作。

社会兼职

教学课程

研究领域

分布式机器学习、联邦学习、人工智能安全、边缘智能

研究课题

1. 国家自然科学基金重点项目“海量多源异构数据的使用授权与鉴权体系研究”(骨干成员) 2. 香港Research Impact Funding项目“边缘学习：云端和边缘融合环境中分布式大数据分析的实现技术“（骨干成员）

专利&软件著作权

(1) 李瑞轩，熊小庆，李玉华，辜希武，杨琪，王号召，张镇，占旭宽.一种基于量化社会影响力的社交网络用户行为预测方法（专利号：ZL201710497921.7），申请日：2017.10，授权日：2020.05.19 (2) 李瑞轩，黄逸伟，辜希武，李玉华，吴文哲，薛正元，杨琪，王号召.一种基于存储和加速优化的Hadoop异构方法和系统(专利：ZL201710382513.7)，申请日：201710，授权日：2017.8.29 (3) 李瑞轩，黄凤玲，李玉华，辜希武，杨琪，田纹龙，王号召，韩洪木.一种分布式的互联网重要地址空间检索系统(专利:ZL201710339031.3), 申请日：2017.10， 授权日：2019.12.17 (4) 李瑞轩，辜希武，高鑫，李玉华，王号召. 一种应用于边缘设备的模型训练方法及系统(专利号：202111137522),申请日：2021.9.27 (5) 郭嵩，王号召，詹玉峰. 一种梯度传输方法、梯度传输装置及参数服务器(专利：201911268718.8), 申请日：2019.12.11 (6) 郭嵩，王号召，詹玉峰 ; 分布式机器学习通信优化方法、装置、服务器及终端设备(专利:201911421789.7), 申请日：2019.12.31 (7) 郭嵩，吴非杰，王号召. 一种基于机器异构性的联邦学习方法, (专利：202110279647.2)，申请日：2021.3.16

学术论文

1. Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang. FedNLR: Federated Learning with Neuron-wise Learning Rates. The 30th SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (KDD 2024), Barcelona, Spain, 25-29 August 2024 (CCF-A)
2. Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li. FedBAT: Communication-efficient Federated Learning via Learnable Binarization. The 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21st-27th July, 2024 (CCF-A)
3. Haozhao Wang, Haoran Xu, Yichen Li, Ruixuan Li, Tianwei Zhang. FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. The 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024 (TSINGHUA-A)
4. Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, YuanKai Zhang, Cheng Wang, Ruixuan Li. Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. The 40th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, May 13-16, 2024 (CCF-A)
5. Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, YuanKai Zhang, Yang Qiu. D-Separation for Causal Self-Explanation. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec 10-16, 2023 (CCF-A)
6. Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou. Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. The 29th SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (KDD 2023), Long Beach, CA, USA, August 6-10, 2023: 1535-1547 (CCF-A)
7. Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, YuanKai Zhang and Yang Qiu. MGR: Multi-generator Based Rationalization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9-14, 2023: 12771-12787 (CCF-A)
8. Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng. DaFKD: Domain-aware Federated Knowledge Distillation. The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 18-22, 2023: 20412-20421 (CCF-A)
9. Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, and Pan Zhou. AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. The 42nd IEEE Conference on Computer Communications (INFOCOM 2023), New York City, USA, May 17-20, 2023: 1-10 (CCF-A)
10. Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang. FR: Folded Rationalization with a Unified Encoder. Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov 28th - Dec 3rd, 2022 (CCF-A)
11. Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, Song Guo. Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Transactions on Mobile Computing, 2024 (CCF-A)
12. Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li. Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(5): 2491-2505
13. Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu. Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Transactions on Parallel and Distributed Systems, 2022, 33(1): 14-25
14. Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, and Weihuang Zhuang. LOSP: Overlap Synchronization Parallel with Local Compensation for Fast Distributed Training. IEEE Journal of Selected Areas in Communications 2021 (JSAC, IF=9.069, CCF-A)
15. Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li,Member, Yutong Yang, Zhihao Qu, and Yi Wang. Heterogeneity-aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Transactions on Computers 2021, (TC, IF=4.006, CCF-A)

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