Zhen Liu

28

Papers

157

Total Citations

Papers (28)

FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution

Ghost on the Shell: An Expressive Representation of General 3D Shapes

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues

Orthogonal Over-Parameterized Training

DINER: Disorder-Invariant Implicit Neural Representation

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network

Minimum Latency Deep Online Video Stabilization

Structural Causal 3D Reconstruction

Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer

ChatGarment: Garment Estimation, Generation and Editing via Large Language Models

Learning to See in the Extremely Dark

FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Decoupled Networks

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Learning towards Minimum Hyperspherical Energy

Coupled Variational Bayes via Optimization Embedding

Exponential Family Estimation via Adversarial Dynamics Embedding

Neural Similarity Learning

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Iterative Teaching by Label Synthesis

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation

Towards Black-box Iterative Machine Teaching