Yiran Chen

CONCORD: Concept-Informed Diffusion for Dataset Distillation WACV 2026 FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models AAAI 2026 Nixie: Efficient, Transparent Temporal Multiplexing for Consumer GPUs OSDI 2026 ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models WACV 2025 Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training ICML 2025 CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models ICML 2025 Delta-NAS: Difference of Architecture Encoding for Predictor-Based Evolutionary Neural Architecture Search WACV 2025 Group Distributionally Robust Dataset Distillation with Risk Minimization ICLR 2025 Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing ICCV 2025 LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation ICML 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility ICLR 2025 SADA: Stability-guided Adaptive Diffusion Acceleration ICML 2025 SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025 Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems ICML 2025 Efficient Dataset Distillation via Minimax Diffusion CVPR 2024 FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models ICML 2024 LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits ICML 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NeurIPS 2024 Tunable Hybrid Proposal Networks for the Open World WACV 2024 Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents ECCV 2024 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples ICCV 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023 LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search IJCAI 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments WACV 2023 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud WACV 2023 ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models ACL 2023 Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations ICCV 2023 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 Language-specific Effects on Automatic Speech Recognition Errors for World Englishes COLING 2022 MTG: A Benchmark Suite for Multilingual Text Generation NAACL 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AutoML 2022 The Untapped Potential of Off-the-Shelf Convolutional Neural Networks WACV 2022 Training and typological bias in ASR performance for world Englishes Interspeech 2022 Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NeurIPS 2022 Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization ICLR 2021 Enhancing Scientific Papers Summarization with Citation Graph AAAI 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NeurIPS 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Accelerating CNN Training by Pruning Activation Gradients ECCV 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020 Extractive Summarization as Text Matching ACL 2020 Neural Predictor for Neural Architecture Search ECCV 2020 PENNI: Pruned Kernel Sharing for Efficient CNN Inference ICML 2020 Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability NeurIPS 2020 Transferable Perturbations of Deep Feature Distributions ICLR 2020 TRP: Trained Rank Pruning for Efficient Deep Neural Networks IJCAI 2020 Feature Space Perturbations Yield More Transferable Adversarial Examples CVPR 2019 Generalized Inverse Optimization through Online Learning NeurIPS 2018 Learning Intrinsic Sparse Structures within Long Short-Term Memory ICLR 2018 A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation CVPR 2017 Coordinating Filters for Faster Deep Neural Networks ICCV 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning NeurIPS 2017 Learning Structured Sparsity in Deep Neural Networks NeurIPS 2016