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Chun-Liang Li

48 papers · 2012–2026 · 18 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (16) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍 Conference Polyglot (17) πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🀝 Dynamic Duo (20) πŸ† Grand Slam πŸ‘₯ Mega-Team (24) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) πŸ—ƒοΈ Keyword Collector (189) πŸ’Ž Century Club (47) ⚑ Prolific Year (10)

Conferences

NIPS (10) ICLR (8) CVPR (6) ACL (5) AISTATS (4) WACV (2) JMLR (2) EMNLP (1) ICCV (1) ECCV (1) ICML (1) IJCAI (1) IJCNLP (1) EACL (1) NAACL (1) ACML (1) UAI (1) AAAI (1)

Top co-authors

Tomas Pfister (20) Chen-Yu Lee (13) Kihyuk Sohn (10) BarnabΓ‘s PΓ³czos (9) Wei-Cheng Chang (6) Yasuhisa Fujii (6) Hsuan-tien Lin (6) Zizhao Zhang (5) Vincent Perot (4) Renshen Wang (4)

Research topics

Probability (1)

Keywords

large language model (5) representation learning (5) contrastive learning (4) image classification (4) maximum mean discrepancy (3) generative adversarial network (3) data augmentation (3) self-supervised learning (3) information extraction (3) zero-shot learning (3) generative model (2) document understanding (2) unsupervised learning (2) document information extraction (2) synthetic datum (2) anomaly detection (2) semi-supervised learning (2) model compression (2) domain generalization (2) knowledge distillation (2)

Papers

Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training EACL 2026 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 MUSCLE: A Model Update Strategy for Compatible LLM Evolution EMNLP 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ICLR 2024 CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024 The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better NIPS 2024 Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NIPS 2024 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 Hyperbolic Contrastive Learning for Visual Representations Beyond Objects CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval CVPR 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 DISSECT: Disentangled Simultaneous Explanations via Concept Traversals ICLR 2022 FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction ACL 2022 Learning Instance-Specific Adaptation for Cross-Domain Segmentation ECCV 2022 Decoupling Local and Global Representations of Time Series AISTATS 2022 Robust Contrastive Learning Using Negative Samples with Diminished Semantics NIPS 2021 Object-aware Contrastive Learning for Debiased Scene Representation NIPS 2021 A Unified View of cGANs with and without Classifiers NIPS 2021 ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction ACL 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021 Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 $i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning ICLR 2021 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation ICLR 2021 ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction IJCNLP 2021 Unsupervised program synthesis for images by sampling without replacement UAI 2021 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting NIPS 2020 FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence NIPS 2020 Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer ICLR 2019 LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds CVPR 2019 Kernel Change-point Detection with Auxiliary Deep Generative Models ICLR 2019 Implicit Kernel Learning AISTATS 2019 Nonparametric Density Estimation under Adversarial Losses NIPS 2018 Sobolev GAN ICLR 2018 One Network to Solve Them All -- Solving Linear Inverse Problems Using Deep Projection Models ICCV 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016 Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA AISTATS 2016 Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013 JMLR 2015 Effective String Processing and Matching for Author Disambiguation JMLR 2014 Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 Active Learning with Hinted Support Vector Machine ACML 2012