Chenglin Li

Interleaved Latent Visual Reasoning with Selective Perceptual Modeling ACL 2026 Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers CVPR 2026 VideoPro: Adaptive Program Reasoning for Long Video Understanding ACL 2026 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation CVPR 2025 LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation ICML 2025 METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models ICCV 2025 Noise Conditional Variational Score Distillation ICML 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression ICLR 2025 Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training ICML 2024 BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation ICLR 2024 Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation ICML 2024 Frequency-Aware Transformer for Learned Image Compression ICLR 2024 Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation ECCV 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models NeurIPS 2024 Mixed Distillation Helps Smaller Language Models Reason Better EMNLP 2024 Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search EMNLP 2024 Teaching Small Language Models Reasoning through Counterfactual Distillation EMNLP 2024 Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing ECCV 2024 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 AiluRus: A Scalable ViT Framework for Dense Prediction NeurIPS 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning NeurIPS 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization ICML 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation AAAI 2023 Progressively Compressed Auto-Encoder for Self-supervised Representation Learning ICLR 2023 Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization CVPR 2023 Contrastive Regression for Domain Adaptation on Gaze Estimation CVPR 2022 MatRank: Text Re-ranking by Latent Preference Matrix EMNLP 2022 Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization ICCV 2021 Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021 Rotation Equivariant Graph Convolutional Network for Spherical Image Classification CVPR 2020 SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020