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CHEN LIN

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

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (71) πŸ† Grand Slam 🀝 Dynamic Duo (13) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (168) πŸ’Ž Century Club (45) πŸš€ 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