Junyi Zhu - RankMe

28 papers A* 4Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser. CoRR Zijing Ou, Jacob Si, Junyi Zhu, Ondrej Bohdal, Mete Ozay, Taha Ceritli, Yingzhen Li
2026	J	`jnl`	PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments. CoRR Shuochen Liu, Junyi Zhu, Long Shu, Junda Lin, Yuhao Chen, Haotian Zhang, Chao Zhang, Derong Xu, Jia Li, Bo Tang, Zhiyu Li, Feiyu Xiong, Enhong Chen, Tong Xu
2025	J	`jnl`	Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles. CoRR Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu Li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko
2025	J	`jnl`	Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles. Trans. Mach. Learn. Res. Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu Li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko
2025	J	`jnl`	Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification. CoRR Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin
2025	A*	`conf`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. ICLR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Shuaiqi Wang, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2025	—	`conf`	Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER. EMNLP (Industry Track) Junyi Zhu, Savas Özkan, Andrea Maracani, Sinan Mutlu, Cho Jung Min, Mete Ozay
2025	J	`jnl`	Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER. CoRR Junyi Zhu, Savas Özkan, Andrea Maracani, Sinan Mutlu, Cho Jung Min, Mete Ozay
2025	J	`jnl`	Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation. CoRR Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas Özkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay
2025	J	`jnl`	Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations. CoRR Bo Tang, Junyi Zhu, Chenyang Xi, Yunhang Ge, Jiahao Wu, Yuchen Feng, Yijun Niu, Wenqiang Wei, Yu Yu, Chunyu Li, Zehao Lin, Hao Wu, Ning Liao, Yebin Yang, Jiajia Wang, Zhiyu Li, Feiyu Xiong, Jingrun Chen
2024	J	`jnl`	Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	—	`conf`	FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models. EMNLP (Findings) Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko
2024	J	`jnl`	FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models. CoRR Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. CoRR Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Implicit Neural Representations for Robust Joint Sparse-View CT Reconstruction. Trans. Mach. Learn. Res. Jiayang Shi, Junyi Zhu, Daniël Maria Pelt, Kees Joost Batenburg, Matthew B. Blaschko
2024	J	`jnl`	Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
2024	—	`conf`	Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko
2023	A*	`conf`	Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization. CVPR Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
2023	J	`jnl`	Confidence-aware Personalized Federated Learning via Variational Expectation Maximization. CoRR Junyi Zhu, Xingchen Ma, Matthew B. Blaschko
2023	J	`jnl`	Improving Differentially Private SGD via Randomly Sparsified Gradients. Trans. Mach. Learn. Res. Junyi Zhu, Matthew B. Blaschko
2023	A*	`conf`	Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. ICML Junyi Zhu, Ruicong Yao, Matthew B. Blaschko
2023	J	`jnl`	Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. CoRR Junyi Zhu, Ruicong Yao, Matthew B. Blaschko
2021	J	`jnl`	Differentially Private SGD with Sparse Gradients. CoRR Junyi Zhu, Matthew B. Blaschko
2021	A*	`conf`	R-GAP: Recursive Gradient Attack on Privacy. ICLR Junyi Zhu, Matthew B. Blaschko
2020	J	`jnl`	R-GAP: Recursive Gradient Attack on Privacy. CoRR Junyi Zhu, Matthew B. Blaschko
2019	—	`conf`	Learning Path Tracking for Real Car-like Mobile Robots From Simulation. ECMR Danial Kamran, Junyi Zhu, Martin Lauer
2019	—	`conf`	Localization in Aerial Imagery with Grid Maps using LocGAN. ITSC Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer
2019	J	`jnl`	Localization in Aerial Imagery with Grid Maps using LocGAN. CoRR Haohao Hu, Junyi Zhu, Sascha Wirges, Martin Lauer