个人简介

华中科技大学计算机学院副院长，华中卓越学者计划特聘教授，入选国家级创新人才计划。现为华中科技大学智能与分布计算实验室主任，湖北省大数据应用工程企校联合创新中心主任，分布式系统安全湖北省重点实验室副主任，湖北省大数据安全工程技术研究中心副主任，大数据与国家传播战略教育部哲学社会科学实验室副主任，中国计算机学会信息系统专委会副主任，中国人工智能学会人工智能与安全专业委员会副主任。主持国家自然科学基金重点项目、国家重点研发计划等科研项目30余项。曾任中国计算机学会信息系统专委会副主任，分布式计算与系统专委会副主任，办公自动化专委会副主任，开放系统专委会副主任。IEEE TC、TPDS、JSAC、TKDE、TDSC、TMC、TCC、TDS、ACM CCS、ICML、NeurIPS、ICLR、AAAI、IJCAI、CVPR、ACL、KDD、ICDE、SIGIR、DAC、中国科学、计算机学报、软件学报、电子学报、通信学报等国内外权威刊物和国际会议上发表学术论文200余篇，出版专著和教材2部，获授权发明专利50余项。获国家级教学成果奖二等奖、湖北省高等学校教学成果奖特等奖、省部级科技进步一等奖2项、技术发明二等奖1项、中国产学研合作创新成果奖二等奖1项，“挑战杯”竞赛全国一等奖、全球校园人工智能算法精英大赛全国一等奖、全国大学生信息安全竞赛一等奖、IEEE TrustCom会议最佳论文等奖励。

社会兼职

中国科学院信息工程研究所客座研究员，加拿大康考迪亚大学兼职教授。IEEE会员，ACM会员，中国计算机学会杰出会员，中国计算机学会信息系统专业委员会副主任，分布式计算与系统专业委员会副主任，大数据专家委员会委员，系统软件专业委员会委员，中国人工智能学会人工智能与安全专业委员会副主任，CCF武汉分部副主席，CCF YOCSEF武汉分论坛学术委员会主席（2013-2014），湖北省计算机学会理事，武汉计算机软件工程学会理事，湖北省电子政务咨询专家组副组长。

教学课程

[1]数据库系统原理 [2]计算思维 [3]数据挖掘高级论题 [4]分布式系统与中间件 [5]现代信息检索

研究领域

大数据处理与分析，数据挖掘与机器学习，大模型与自然语言处理，云计算与边缘计算，人工智能安全与隐私计算

研究课题

主持国家自然科学基金联合重点项目、国家重点研发计划、国家863计划、国家科技攻关计划、工信部电子发展基金、湖北省重点研发计划以及合作研究项目等科研项目30余项。

专利&软件著作权

[1] 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（发明专利，专利号：ZL201710382513.7），申请日：2017.5.26，授权日：2019.8.30
[2] 李瑞轩，熊梦婷，李玉华，辜希武，刘洋，张纯鹏，李相臣，苑雨萌. 一种半自动提取和结构化文档信息的存储方法及系统（发明专利，申请号：201811262115.2），申请日：2018.10.27， 授权公告日：2020.12.8
[3] 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（发明专利，专利号：ZL201710497921.7），申请日：2017.6.27， 授权公告日：2020.5.19
[4] 李瑞轩，文坤梅，黄伟，李玉华，辜希武，昝杰，龚晶. 一种基于融合词性和语义信息的Skip-gram模型的情感分析方法（发明专利，申请号：201810481860.X），申请日：2018.5.18， 授权公告日：2020.7.10
[5] 李瑞轩，文坤梅，昝杰，李玉华，辜希武，杨琪，代德顺，张镇. 一种基于深度学习的用户情感分析方法（发明专利，专利号：ZL201710473195.5），申请日：2017.6.21， 授权日：2019.11.12

学术论文

1. Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li. Masked Random Noise for Communication-Efficient Federated Learning. The 32nd ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, 28th October - 1st November, 2024 (CCF-A)
2. Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Yuhua Li, Ruixuan Li. Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition. The 32nd ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, Oct 28 - Nov 1, 2024 (CCF-A)
3. Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li, Ruixuan Li. MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning. The 32nd ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, Oct 28 - Nov 1, 2024 (CCF-A)
4. 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)
5. 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)
6. Yixiong Zou, Shanghang Zhang, Haichen Zhou, Yuhua Li and Ruixuan Li. Compositional Few-Shot Class-Incremental Learning. The 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024 (CCF-A)
7. Haichen Zhou, Yixiong Zou, Ruixuan Li, Yuhua Li and Kui Xiao. Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning. The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju Island, South Korea, August 3-9, 2024 (CCF-A)
8. Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang. Towards Efficient Replay in Federated Incremental Learning. The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, USA, June 17-21, 2024 (CCF-A)
9. Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li. Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning. The 35th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, USA, June 17-21, 2024 (CCF-A)
10. Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li. Masked Graph Autoencoder with Non-discrete Bandwidths. The 33th ACM Web Conference (theWeb 2024), Singapore, Singapore, May 13-17, 2024 (CCF-A)
11. 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)
12. 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)
13. Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20-27, 2024 (CCF-A)
14. 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)
15. 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)
16. Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang. CSGCL: Community Strength Enhanced Graph Contrastive Learning. The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, China, August 19-25 2023: 2059-2067 (CCF-A)
17. 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)
18. 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)
19. 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)
20. Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang and Ruixuan Li. Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. The 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February 7-14, 2023: 4435-4443 (CCF-A)
21. Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang. FR: Folded Rationalization with a Unified Encoder. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov 28th - Dec 3rd, 2022 (CCF-A)
22. Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li. Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov 28th - Dec 3rd, 2022 (CCF-A)
23. Xiang Fang, Daizong Liu, Pan Zhou, Zichuan Xu, Ruixuan Li. Hierarchical Local-Global Transformer for Temporal Sentence Grounding. IEEE Transactions on Multimedia, 2024, 26: 3263-3277 (CCF-A)
24. Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang. Embedding Compression in Recommender Systems: A Survey. ACM Computing Surveys, 2024, 56(5): 130:1-130:21 (CCF-A)
24.. 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)
25. Wenlong Tian, Ruixuan Li, Zhiyong Xu, Weijun Xiao. Loco-Store: Locality-based Oblivious Data Storage. IEEE Transactions on Dependable and Secure Computing, 2022, 19(2): 1395-1406
26. 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 (CCF-A)
27. 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 (CCF-A)
28. 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, 2022, 71(4): 779-794 (CCF-A)
29. 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, 39(8): 2541-2557 (CCF-A)
30. Ruixuan Li, Qi Yang, Yuhua Li, Xiwu Gu, Weijun Xiao, Keqin Li. HeteroYARN: A Heterogeneous FPGA-accelerated Architecture based on YARN. IEEE Transactions on Parallel and Distributed Systems, 2020, 31(12): 2968-2980 (CCF-A)

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