Dr. Miao Pan, Senior Member IEEE

Sicong Li, Lingfeng Yao, Xingke Yang, Ke Tu, Chenhao Wu, Hao Wang, Jiang Liu, Phone Lin, Xin Fu, Miao Pan, "A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs," Empirical Methods in Natural Language Processing (EMNLP'26), Budapest, Hungary, October 24-29, 2026. (Main Conference, Acceptance ratio: 2,719/17,669 = 15.4%).

Lingfeng Yao, Chenpei Huang, Xingke Yang, Ziye Geng, Changqing Luo, Hao Wang, Jiang Liu, Miao Pan, "PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation," Empirical Methods in Natural Language Processing (EMNLP'26), Budapest, Hungary, October 24-29, 2026. (Main Conference, Acceptance ratio: 2,719/17,669 = 15.4%).

Qingqian Yang, Hao Wang, Sai Qian Zhang, Jian Li, Yang Hua, Miao Pan, Tao Song, Zhengwei Qi, and Haibing Guan, "FedNASP: Federated Vision-Language Navigation with Adaptive Step-wise Personalization," European Conference on Computer Vision (ECCV'26), Malmö, Sweden, September 8-12, 2026. (Acceptance ratio: 2,883/10,473 = 27.53%).

Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, and Miao Pan, "QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning," European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD'26), Naples, Italy, September 7-11, 2026. (Acceptance ratio: 276/1,150 = 24.00%).

Chenpei Huang, Lingfeng Yao, Lening Wang, Lan Zhang, Xun Chen, Kyu In Lee, and Miao Pan, "EchoMark: Acoustic Environment Matching with Watermarked Room Impulse Response," IEEE International Conference on Multimedia & Expo (ICME'26), Bangkok, Thailand, July 05-09, 2026. (Acceptance ratio: 1,101/3,810 = 28.89%, Best Student Paper Award Runner-up).

Zixun Xiong, Hao Wang, Jian Li, Yang Hua, Miao Pan, and Xiaojiang Du, "Deep Learning Backdoor Defense via Adaptive Trigger Collisions in Latent Space," ACM ASIA Conference on Computer and Communications Security (AsiaCCS'26), Bangalore, India, June 01-05, 2026. (Acceptance ratio: 35/204 = 17%).

Zhiyi Wan, Yijia Chi, Liang Li, Wanrou Du, Miao Pan, Xiaoqi Qin, "Enhancing Communication Compression via Discrepancy-aware Calibration for Federated Learning", International Conference on Learning Representations (ICLR'26), Rio de Janeiro, Brazil, April 23-27, 2026. (Acceptance ratio: 5,320/19,000 = 28.00%).

Lingfeng Yao, Chenpei Huang, Shengyao Wang, Junpei Xue, Hanqing Guo, Jiang Liu, Phone Lin, TOMOAKI OHTSUKI, Miao Pan, "Yours or Mine? Overwriting Attacks against Neural Audio Watermarking", AAAI Conference on Artificial Intelligence (AAAI'26), Singapore, January 20-27, 2026. (Acceptance ratio: 4,167/23,680 = 17.60%).

Zixun Xiong, Gaoyi Wu, Qingyang Yu, Mingyu Derek Ma, Lingfeng Yao, Miao Pan, Xiaojiang Du, Hao Wang, "iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification", AAAI Conference on Artificial Intelligence (AAAI'26), Singapore, January 20-27, 2026. (Acceptance ratio: 4,167/23,680 = 17.60%).

Nazmus Shakib Shadin, Xinyue Zhang, Jingyi Wang, and Miao Pan, "Heterogeneity-Aware Private Personalized Federated Learning for Medical Imaging via Contrastive Distillation", IEEE International Conference on Big Data (BigData'25), Macau SAR, China, December 8-11, 2025. (Acceptance ratio: 140/746 = 18.77%).

Zhanming Shen, Tianqi Xu, Hao Wang, Jian Li, Miao Pan, "pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models", Empirical Methods in Natural Language Processing (EMNLP'25), Suzhou, China, November 5-9, 2025. (Main Conference, Acceptance ratio: 1,811/8,174 = 22.16%).

Hui Zhong, Xinyue Zhang, Hao Wang, Shucheng Yu, Yu Wang, and Miao Pan, "Enhanced Local Differential Privacy Protection against Crosstalk Attacks in Quantum Computing", IEEE International Conference on Quantum Computing and Engineering (QCE'25), Albuquerque, NM, August 31-September 5, 2025.

Richie R Suganda, Tony Tran, Miao Pan, Lei Fan, Qin Lin, and Bin Hu, "Distributed Perception Aware Safe Leader Follower System via Control Barrier Methods", IEEE International Conference on Robotics and Automation (ICRA'25), Atlanta, GA, May 19-23, 2025.

Huai-an Su, Jiaxiang Geng, Liang Li, Xiaoqi Qin, Yanzhao Hou, Hao Wang, Xin Fu, Miao Pan, "WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling", AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, PA, February 25-March 4, 2025. (Acceptance ratio: 3,032/12,957 = 23.4%).

Youming Tao, Chenglong Wang, Miao Pan, Dongxiao Yu, Xiuzhen Cheng, and Di Wang, "Communication Efficient and Provable Federated Unlearning," International Conference on Very Large Data Bases (VLDB 2024), Guangzhou, China, August 24-29, 2024.

Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, and Miao Pan, "Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization," IEEE/CVF International Conference on Computer Vision (ICCV'23), Paris, France, October 2-6, 2023. (Acceptance ratio: 2160/8068 = 26.8%)

Jiadong Lou, Xu Yuan, Miao Pan, Hao Wang, and Nian-Feng Tzeng, "Data Privacy Examination against Semi-supervised Learning," ACM ASIA Conference on Computer and Communications Security (AsiaCCS'23), Melbourne, Australia, July 10-14, 2023. (Acceptance ratio: 35/204 = 17.15%)

Rui Chen, Qiyu Wan, Xinyue Zhang, Xiaoqi Qin, Yanzhao Hou, Di Wang, Xin Fu, and Miao Pan, "EEFL: High-Speed Wireless Communications Inspired Energy Efficient Federated Learning over Mobile Devices", ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'23), Helsinki, Finland, June 18-22, 2023. (Acceptance ratio: 41/198 = 20.71%)

Peichun Li, Guoliang Cheng, Xumin Huang, Jiawen Kang, Rong Yu, Yuan Wu, and Miao Pan, "AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices", IEEE International Conference on Computer Communications (INFOCOM'23), New York area, May 17-20, 2023. (Acceptance ratio: 252/1,266 = 19.91%)

Liang Li, Dian Shi, Ronghui Hou, Hui Li, Miao Pan, and Zhu Han, "To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices", IEEE International Conference on Computer Communications (INFOCOM'21), Virtual Conference, May 10-13, 2021. (Acceptance ratio: 252/1,266 = 19.91%)

Jiahao Ding, Guannan Liang, Jinbo Bi, and Miao Pan, "Differentially Private and Communication Efficient Collaborative Learning", AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, February 2-9, 2021. (Acceptance ratio: 1,692/7,911 = 21.38%)

Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, and Jinbo Bi, "Effective Proximal Methods for Non-convex Non-smooth Regularized Learning", IEEE International Conference on Data Mining (ICDM'20), Sorrento, Italy, November 17-20, 2020. (Regular Paper, Acceptance ratio: 91/930 = 9.8%)

Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, and Miao Pan, "Towards Plausible Differentially Private ADMM Based Distributed Machine Learning", ACM International Conference on Information and Knowledge Management (CIKM'20), Fully ONLINE, October 19-23, 2020. (Acceptance ratio: 193/920 = 20.98%)

Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, and Miao Pan, "Differentially Private and Fair Classification via Calibrated Functional Mechanism", AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, February 7-12, 2020. (Acceptance ratio: 1,591/7,737 = 20.56%)