Zhang, Jianyi

21 publications

WACV 2025 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang

NeurIPS 2025 Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

ICML 2025 CoreMatching: A Co-Adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen

NeurIPS 2025 KVCOMM: Online Cross-Context KV-Cache Communication for Efficient LLM-Based Multi-Agent Systems Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen

ICCV 2025 Keyframe-Oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing Yudong Liu, Jingwei Sun, Yueqian Lin, Jianyi Zhang, Jingyang Zhang, Ming Yin, Qinsi Wang, Hai Li, Yiran Chen

WACV 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning Jianyi Zhang, Hao Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li

ICLR 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models Jingyang Zhang, Jingwei Sun, Eric Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Frank Yang, Hai Li

ICLR 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

ICML 2025 SADA: Stability-Guided Adaptive Diffusion Acceleration Ting Jiang, Yixiao Wang, Hancheng Ye, Zishan Shao, Jingwei Sun, Jingyang Zhang, Zekai Chen, Jianyi Zhang, Yiran Chen, Hai Li

ICLR 2025 Sufficient Context: A New Lens on Retrieval Augmented Generation Systems Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian

NeurIPS 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen

ECCV 2024 Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen

TMLR 2023 Differentiable Logic Machines Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu

ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li

NeurIPSW 2023 Towards Building the FederatedGPT: Federated Instruction Tuning Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen

NeurIPS 2022 Why Do We Need Large Batchsizes in Contrastive Learning? a Gradient-Bias Perspective Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

CVPRW 2021 Towards Fair Federated Learning with Zero-Shot Data Augmentation Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin

ICLR 2020 Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson

AISTATS 2020 Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen

ICML 2020 Variance Reduction in Stochastic Particle-Optimization Sampling Jianyi Zhang, Yang Zhao, Changyou Chen

AAAI 2019 Self-Adversarially Learned Bayesian Sampling Yang Zhao, Jianyi Zhang, Changyou Chen