Chun-Liang Li

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