CHEN LIN

45 papers · 2014–2025 · 13 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌈 Renaissance Researcher (8)

🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (71) 🏆 Grand Slam 🤝 Dynamic Duo (13) 🔥 Unstoppable (9) ⚡ Prolific Year (7) 🗃️ Keyword Collector (168) 💎 Century Club (45) 🚀 Conference Pioneer

Conferences

ICCV (8) NAACL (6) EMNLP (5) ACL (4) CVPR (4) NIPS (4) AAAI (3) ICLR (3) ICML (3) ECCV (2) COLING (1) EACL (1) IJCAI (1)

Top co-authors

Wanli Ouyang (13) Junjie Yan (11) Yeyun Gong (9) Timothy Miller (8) Chuming Li (8) Guergana Savova (8) Ming Sun (8) Dmitriy Dligach (7) Steven Bethard (7) Zhenghao Lin (7)

Keywords

neural architecture search (6) large language model (5) temporal relation extraction (5) transfer learning (3) chain-of-thought prompting (3) few-shot learning (3) model compression (3) neural network optimization (3) data augmentation (3) electronic medical record (2) clinical nlp (2) augmentation policy (2) image classification (2) neural network (2) convolutional neural network (2) zero-shot learning (2) weight sharing (2) reinforcement learning (2) relation classification (2) iterative optimization (1)

Papers

DRaM-LHM: A Quaternion Framework for Iterative Camera Pose Estimation ICCV 2025 PEMV: Improving Spatial Distribution for Emotion Recognition in Conversations Using Proximal Emotion Mean Vectors NAACL 2025 Enhancing Sequential Recommendation with Global Diffusion AAAI 2025 Scalable Equilibrium Sampling with Sequential Boltzmann Generators ICML 2025 Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs ACL 2025 Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models NAACL 2024 LOCR: Location-Guided Transformer for Optical Character Recognition EMNLP 2024 APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning COLING 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ICLR 2024 Competition-Level Problems are Effective LLM Evaluators ACL 2024 Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024 Not All Tokens Are What You Need for Pretraining NIPS 2024 AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators NAACL 2024 Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023 Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization CVPR 2023 OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation CVPR 2023 Algebraically Rigorous Quaternion Framework for the Neural Network Pose Estimation Problem ICCV 2023 Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling ICLR 2023 Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise ICML 2023 Graph Inductive Biases in Transformers without Message Passing ICML 2023 Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis EMNLP 2022 Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches ECCV 2022 Inception Convolution With Efficient Dilation Search CVPR 2021 EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain NAACL 2021 GLiT: Neural Architecture Search for Global and Local Image Transformer ICCV 2021 BN-NAS: Neural Architecture Search With Batch Normalization ICCV 2021 Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021 Evolving Search Space for Neural Architecture Search ICCV 2021 A Continuous Mapping For Augmentation Design NIPS 2021 Extracting Relations between Radiotherapy Treatment Details EMNLP 2020 Defining and Learning Refined Temporal Relations in the Clinical Narrative EMNLP 2020 Improving One-Shot NAS by Suppressing the Posterior Fading CVPR 2020 Computation Reallocation for Object Detection ICLR 2020 A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction ACL 2020 Improving Auto-Augment via Augmentation-Wise Weight Sharing NIPS 2020 Powering One-shot Topological NAS with Stabilized Share-parameter Proxy ECCV 2020 Online Hyper-Parameter Learning for Auto-Augmentation Strategy ICCV 2019 A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction NAACL 2019 AM-LFS: AutoML for Loss Function Search ICCV 2019 Non-Compensatory Psychological Models for Recommender Systems AAAI 2019 Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction EMNLP 2018 Live Face Verification with Multiple Instantialized Local Homographic Parameterization IJCAI 2018 Synaptic Strength For Convolutional Neural Network NIPS 2018 Neural Temporal Relation Extraction EACL 2017 Descending-Path Convolution Kernel for Syntactic Structures ACL 2014