Chen, Yiran

64 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 Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, 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

WACV 2025 Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search Arjun Sridhar, Yiran Chen

ICLR 2025 Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, 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

ICML 2025 LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang

ICLRW 2025 LoBAM: LoRA-Based Backdoor Attack on Model Merging Ming Yin, Jingyang Zhang, Jingwei Sun, Minghong Fang, Hai Helen 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 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

ICCV 2025 SAFER: Sharpness Aware Layer-Selective Finetuning for Enhanced Robustness in Vision Transformers Bhavna Gopal, Huanrui Yang, Mark Horton, Yiran Chen

ICML 2025 Which Agent Causes Task Failures and When? on Automated Failure Attribution of LLM Multi-Agent Systems Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu

CVPRW 2024 CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

CVPR 2024 Efficient Dataset Distillation via Minimax Diffusion Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen

ICML 2024 FedBPT: Efficient Federated Black-Box Prompt Tuning for Large Language Models Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R Roth

ICML 2024 LaMAGIC: Language-Model-Based Topology Generation for Analog Integrated Circuits Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

NeurIPS 2024 Reimagining Mutual Information for Enhanced Defense Against Data Leakage in Collaborative Inference Lin Duan, Jingwei Sun, Jinyuan Jia, Yiran Chen, Maria Gorlatova

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

WACV 2024 Tunable Hybrid Proposal Networks for the Open World Matthew Inkawhich, Nathan Inkawhich, Hai Li, 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

ICCV 2023 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth

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

CoLLAs 2023 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

WACV 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu

IJCAI 2023 LISSNAS: Locality-Based Iterative Search Space Shrinkage for Neural Architecture Search Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen

WACV 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

WACV 2023 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

ICCV 2023 Stable and Causal Inference for Discriminative Self-Supervised Deep Visual Representations Yuewei Yang, Hai Li, Yiran Chen

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

CVPR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Li, Yiran Chen

NeurIPSW 2022 Fine-Grain Inference on Out-of-Distribution Data with Hierarchical Classification Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Li, Yiran Chen

CVPRW 2022 Privacy Leakage of Adversarial Training Models in Federated Learning Systems Jingyang Zhang, Yiran Chen, Hai Helen Li

AutoML 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

WACV 2022 The Untapped Potential of Off-the-Shelf Convolutional Neural Networks Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, 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

ICLR 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang, Lin Duan, Yiran Chen, Hai Li

ICCVW 2021 Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen

AAAI 2021 Enhancing Scientific Papers Summarization with Citation Graph Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

NeurIPS 2021 FL-WBC: Enhancing Robustness Against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun, Ang Li, Louis DiValentin, Amin Hassanzadeh, Yiran Chen, Hai Li

ICML 2021 Improving Gradient Regularization Using Complex-Valued Neural Networks Eric C Yeats, Yiran Chen, Hai Li

AAAI 2021 NASGEM: Neural Architecture Search via Graph Embedding Method Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

CVPR 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

ECCV 2020 Accelerating CNN Training by Pruning Activation Gradients Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen

ICLR 2020 AutoGrow: Automatic Layer Growing in Deep Convolutional Networks Wei Wen, Feng Yan, Yiran Chen, Hai Li

AAAI 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen

CVPRW 2020 Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

ECCV 2020 Neural Predictor for Neural Architecture Search Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans

ICML 2020 PENNI: Pruned Kernel Sharing for Efficient CNN Inference Shiyu Li, Edward Hanson, Hai Li, Yiran Chen

NeurIPS 2020 Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich, Kevin Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen

IJCAI 2020 TRP: Trained Rank Pruning for Efficient Deep Neural Networks Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

ICLR 2020 Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich, Kevin J Liang, Lawrence Carin, Yiran Chen

ICCVW 2019 MSNet: Structural Wired Neural Architecture Search for Internet of Things Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li

NeurIPS 2018 Generalized Inverse Optimization Through Online Learning Chaosheng Dong, Yiran Chen, Bo Zeng

ICLR 2018 Learning Intrinsic Sparse Structures Within Long Short-Term Memory Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

CVPR 2017 A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai Li

ICCV 2017 Coordinating Filters for Faster Deep Neural Networks Wei Wen, Cong Xu, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

ICLR 2017 Faster CNNs with Direct Sparse Convolutions and Guided Pruning Jongsoo Park, Sheng R. Li, Wei Wen, Ping Tak Peter Tang, Hai Li, Yiran Chen, Pradeep Dubey

NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

NeurIPS 2016 Learning Structured Sparsity in Deep Neural Networks Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li