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Chun-Liang Li

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

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 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