← Authors

Yiran Chen

59 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (88) πŸ† Grand Slam 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (202) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (58) πŸ”₯ Unstoppable (11)

Conferences

ICML (10) WACV (9) NIPS (8) CVPR (5) ICCV (5) ICLR (5) AAAI (4) ECCV (3) ACL (2) EMNLP (2) IJCAI (2) AUTOML (1) COLING (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Hai Li (24) Jianyi Zhang (11) Jingwei Sun (11) Wei Wen (8) Nathan Inkawhich (6) Jingyang Zhang (6) Ang Li (5) Feng Yan (5) Danqing Wang (4) Saeed Vahidian (4)

Research topics

Privacy (2) Optimization (1)

Keywords

model compression (7) neural architecture search (6) federated learning (5) large language model (4) representation learning (3) self-supervised learning (3) convolutional neural network (3) diffusion model (3) neural network optimization (2) adversarial training (2) computational efficiency (2) automatic speech recognition (2) deep learning (2) adversarial robustness (2) semantic segmentation (2) text summarization (2) privacy preservation (2) object detection (2) document summarization (2) image generation (2)

Papers

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