Wang, Jianyu

26 publications

ICML 2025 Evolving Prompts In-Context: An Open-Ended, Self-Replicating Perspective Jianyu Wang, Zhiqiang Hu, Lidong Bing

ICML 2025 Instruction-Following Pruning for Large Language Models Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei

NeurIPS 2025 Point4Bit: Post Training 4-Bit Quantization for Point Cloud 3D Detection Jianyu Wang, Yu Wang, Shengjie Zhao, Sifan Zhou

CVPR 2025 Towards High-Fidelity 3D Talking Avatar with Personalized Dynamic Texture Xuanchen Li, Jianyu Wang, Yuhao Cheng, Yikun Zeng, Xingyu Ren, Wenhan Zhu, Weiming Zhao, Yichao Yan

ICLR 2024 FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent Ziyao Wang, Jianyu Wang, Ang Li

ECCV 2024 MM1: Methods, Analysis & Insights from Multimodal LLM Pre-Training Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Samuel Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Futang Peng, Anton Belyi, Max A Schwarzer, Hongyu Hè, Xianzhi Du, Haotian Zhang, Karanjeet Singh, Doug Kang, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang

NeurIPSW 2024 Momentum Approximation in Asynchronous Private Federated Learning Tao Yu, Congzheng Song, Jianyu Wang, Mona Chitnis

TMLR 2024 On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data Jianyu Wang, Rudrajit Das, Gauri Joshi, Satyen Kale, Zheng Xu, Tong Zhang

CVPR 2024 PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment Tianchen Deng, Guole Shen, Tong Qin, Jianyu Wang, Wentao Zhao, Jingchuan Wang, Danwei Wang, Weidong Chen

ICML 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

AISTATS 2023 Federated Learning Under Distributed Concept Drift Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip B. Gibbons

CVPR 2023 Few-Shot Non-Line-of-Sight Imaging with Signal-Surface Collaborative Regularization Xintong Liu, Jianyu Wang, Leping Xiao, Xing Fu, Lingyun Qiu, Zuoqiang Shi

CVPR 2023 Non-Line-of-Sight Imaging with Signal Superresolution Network Jianyu Wang, Xintong Liu, Leping Xiao, Zuoqiang Shi, Lingyun Qiu, Xing Fu

ICLR 2023 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

AISTATS 2022 Towards Understanding Biased Client Selection in Federated Learning Yae Jee Cho, Jianyu Wang, Gauri Joshi

NeurIPSW 2022 Federated Learning Under Distributed Concept Drift Ellango Jothimurugesan, Kevin Hsieh, Jianyu Wang, Gauri Joshi, Phillip Gibbons

NeurIPSW 2022 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

JMLR 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms Jianyu Wang, Gauri Joshi

ICLR 2020 SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael Rabbat

NeurIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

NeurIPS 2019 Defense Against Adversarial Attacks Using Feature Scattering-Based Adversarial Training Haichao Zhang, Jianyu Wang

ICLR 2018 Mitigating Adversarial Effects Through Randomization Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille

ICCV 2017 Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

CVPR 2015 Semantic Part Segmentation Using Compositional Model Combining Shape and Appearance Jianyu Wang, Alan L. Yuille

CVPR 2005 Online Selecting Discriminative Tracking Features Using Particle Filter Jianyu Wang, Xilin Chen, Wen Gao