PPaperPicks

Yong Liu

Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China

47 papers at tracked venues · 30 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. LLM-Oriented Token-Adaptive Knowledge Distillation
  2. OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization
  3. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging
  4. The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios
  5. Action Detail Matters: Refining Video Recognition with Local Action Queries
  6. AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
  7. CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking
  8. DriveArena: A Closed-Loop Generative Simulation Platform for Autonomous Driving
  9. Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
  10. DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
  11. Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
  12. GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model
  13. Hash-GS: Anchor-Based 3D Gaussian Splatting with Multi-Resolution Hash Encoding for Efficient Scene Reconstruction
  14. KGN-Pro: Keypoint-Based Grasp Prediction through Probabilistic 2D-3D Correspondence Learning
  15. L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model
  16. L2Calib: SE (3)-Manifold Reinforcement Learning for Robust Extrinsic Calibration with Degenerate Motion Resilience
  17. LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
  18. Sundial: A Family of Highly Capable Time Series Foundation Models
    ICML 2025 · Yong Liu
  19. TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation
  20. Timer-XL: Long-Context Transformers for Unified Time Series Forecasting
    ICLR 2025 · Yong Liu
  21. TimesBERT: A BERT-Style Foundation Model for Time Series Understanding
  22. X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability
  23. A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation
  24. A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
  25. A Robotic-centric Paradigm for 3D Human Tracking Under Complex Environments Using Multi-modal Adaptation
  26. AutoTimes: Autoregressive Time Series Forecasters via Large Language Models
    NeurIPS 2024 · Yong Liu
  27. Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving
  28. Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
  29. Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control
  30. Hierarchical Search-Based Cooperative Motion Planning
  31. Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization
  32. MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion
  33. MaxQ: Multi-Axis Query for N: m Sparsity Network
  34. Monocular Event-Inertial Odometry with Adaptive decay-based Time Surface and Polarity-aware Tracking
  35. Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer
  36. OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks
  37. Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models
  38. RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale
  39. SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
  40. Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
  41. Semi-Supervised Learning for Visual Bird's Eye View Semantic Segmentation
  42. Structured Optimal Brain Pruning for Large Language Models
  43. TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
  44. Timer: Generative Pre-trained Transformers Are Large Time Series Models
    ICML 2024 · Yong Liu
  45. Timestep-Aware Correction for Quantized Diffusion Models
  46. Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
  47. iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
    ICLR 2024 · Yong Liu