PPaperPicks

Chenglin Li

33 papers at tracked venues · 24 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Interleaved Latent Visual Reasoning with Selective Perceptual Modeling
  2. RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People
  3. ReStyle-TTS: Relative and Continuous Style Control for Zero-Shot Speech Synthesis
  4. VideoPro: Adaptive Program Reasoning for Long Video Understanding
    ACL 2026 · Chenglin Li
  5. 3DGabSplat: 3D Gabor Splatting for Frequency-adaptive Radiance Field Rendering
  6. ARS-SLAM: Accurate Robust Spinning LiDAR SLAM for a Quadruped Robot in Large-Scale Scenario
  7. Demo of RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People
  8. FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
  9. GLEAM: Parameter-Efficient Transfer Learning via Global Share Local Transform Mixture-of-Experts
  10. HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation
  11. LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
  12. METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
  13. Noise Conditional Variational Score Distillation
  14. On Disentangled Training for Nonlinear Transform in Learned Image Compression
  15. RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
  16. SceneGenA11y: How can Runtime Generative tools improve the Accessibility of a Virtual 3D Scene?
  17. Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
  18. Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
    AAAI 2025 · Chenglin Li
  19. AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
  20. Adversarially Robust Neural Lyapunov Control
  21. BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation
  22. Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
  23. Frequency-Aware Transformer for Learned Image Compression
  24. Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation
  25. Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
  26. Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
  27. MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
  28. Mixed Distillation Helps Smaller Language Models Reason Better
    EMNLP 2024 · Chenglin Li
  29. Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
    EMNLP 2024 · Chenglin Li
  30. Point Cloud Upsampling with Geometric Algebra Driven Inverse Heat Dissipation
  31. Task-Oriented Multi-Bitstream Optimization for Image Compression and Transmission via Optimal Transport
  32. Teaching Small Language Models Reasoning through Counterfactual Distillation
  33. Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-spoofing