| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2026 | WiOpt | HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training. | Aakriti Lnu, Zhe Li, Dandan Liang, Chao Huang, Rui Li, Haibo Yang |
| 2025 | AAAI | PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. | Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang |
| 2025 | ACSSC | Achieving Extremely Low Communication Overhead in Federated Learning via Zeroth-Order SignSGD. | Zhe Li, Bicheng Ying, Dandan Liang, Zidong Liu, Rui Li, Haibo Yang |
| 2025 | ICLR | Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization. | Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang |
| 2025 | IJCAI | FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning. | Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang |
| 2025 | MICCAI | DisDiff: Disentanglement Diffusion Network for MR Imaging Translation. | Yipin Zhang, Ziqi Yu, Xiange Zhang, Shengjie Zhang, Xiang Chen, Haibo Yang, Xiao-Yong Zhang |
| 2025 | NDSS | Do We Really Need to Design New Byzantine-robust Aggregation Rules? | Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang |
| 2025 | UAI | STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. | Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu |
| 2024 | CVPR | VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation. | Yang Chen, Yingwei Pan, Haibo Yang, Ting Yao, Tao Mei |
| 2024 | ECCV | DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation. | Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei |
| 2024 | ICML | Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation. | Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu |
| 2024 | ICML | Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. | Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao |
| 2024 | MOBIHOC | Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? | Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff |
| 2022 | ICLR | Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach. | Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi-To Wai, Sijia Liu |
| 2022 | ICML | Anarchic Federated Learning. | Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu |
| 2022 | ISCAS | A Dual-Band Vector-Sum Phase Shifter for 28-GHz and 60-GHz Phased Arrays in 65-nm CMOS. | Haibo Yang, Yiming Yu, Chenxi Zhao, Huihua Liu, Yunqiu Wu, Kai Kang |
| 2022 | ISIT | Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control. | Haibo Yang, Peiwen Qiu, Jia Liu, Aylin Yener |
| 2022 | MICCAI | Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic Confidence. | Haibo Yang, Shengjie Zhang, Xiaoyang Han, Botao Zhao, Yan Ren, Yaru Sheng, Xiao-Yong Zhang |
| 2022 | MICCAI | 3D Global Fourier Network for Alzheimer's Disease Diagnosis Using Structural MRI. | Shengjie Zhang, Xiang Chen, Bohan Ren, Haibo Yang, Ziqi Yu, Xiao-Yong Zhang, Yuan Zhou |
| 2022 | MOBIHOC | NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. | Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu |
| 2021 | ICLR | Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning. | Haibo Yang, Minghong Fang, Jia Liu |
| 2021 | WiOpt | CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning. | Haibo Yang, Jia Liu, Elizabeth S. Bentley |
| 2016 | CSCWD | Towards a unified conceptualisation of IS agility. | Haibo Yang, Pedro Antunes, Mary Tate |
| 2010 | ICARCV | A novel fractional-order signal processing based edge detection method. | Haibo Yang, Yongqiang Ye, Danwei Wang, Bin Jiang |
| 2010 | ICNC | The contents of visual working memory on visual search. | Haibo Yang, Shasha Yin, Xuejun Bai |
| 2009 | HIS | The Design and Implementation of an Enhanced SIP ALG to Support MSRP Sessions. | Haibo Yang, Hu Lin, Jin Li, Weimin Lei |