Zhen Liu

46 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (11) 🗺️ Taxonomy Completionist (97) 🤝 Dynamic Duo (17) 🏆 Keyword Champion 🏆 Grand Slam ⚡ Prolific Year (9) 📈 Trend Setter 🗃️ Keyword Collector (202) 💎 Century Club (44) 🔥 Unstoppable (8) ❓ The Questioner

Conferences

NIPS (9) AAAI (7) CVPR (7) ICLR (6) ICML (6) ICCV (4) ACL (2) AISTATS (2) ECCV (2) IJCAI (1)

Top co-authors

Weiyang Liu (17) Qianli Ma (10) Le Song (9) Bernhard Schölkopf (8) Adrian Weller (8) Shuaicheng Liu (6) Bo Dai (6) Rongmei Lin (5) Michael J. Black (5) Yicheng Luo (5)

Keywords

hyperspherical energy (4) time series classification (4) representation learning (4) neural network regularization (3) image restoration (3) spectral bia (2) diffusion model (2) iterative machine teaching (2) metric learning (2) neural network optimization (2) implicit neural representation (2) semi-supervised learning (2) image reconstruction (2) convolutional neural network (2) label propagation (2) multimodal learning (2) contrastive learning (2) sample complexity (2) flow matching (2) machine teaching (2)

Papers

A Unified Shape-Aware Foundation Model for Time Series Classification AAAI 2026

RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching AAAI 2026

FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation AAAI 2025

HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting ICML 2025

ChatGarment: Garment Estimation, Generation and Editing via Large Language Models CVPR 2025

Can Large Language Models Understand Symbolic Graphics Programs? ICLR 2025

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets ICLR 2025

Learning to See in the Extremely Dark ICCV 2025

Hi-Patch: Hierarchical Patch GNN for Irregular Multivariate Time Series ICML 2025

Learning Soft Sparse Shapes for Efficient Time-Series Classification ICML 2025

Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues ICCV 2025

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization ICLR 2024

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution CVPR 2024

FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions CVPR 2024

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks ICLR 2024

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NIPS 2024

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features AAAI 2024

Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024

Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024

Ghost on the Shell: An Expressive Representation of General 3D Shapes ICLR 2024

Minimum Latency Deep Online Video Stabilization ICCV 2023

Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NIPS 2023

Controlling Text-to-Image Diffusion by Orthogonal Finetuning NIPS 2023

Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA AAAI 2023

Span-level Aspect-based Sentiment Analysis via Table Filling ACL 2023

Iterative Teaching by Data Hallucination AISTATS 2023

DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023

Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network ICCV 2023

MeshDiffusion: Score-based Generative 3D Mesh Modeling ICLR 2023

CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023

Generative Flow Networks for Discrete Probabilistic Modeling ICML 2022

Structural Causal 3D Reconstruction ECCV 2022

Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer ECCV 2022

Iterative Teaching by Label Synthesis NIPS 2021

Learning with Hyperspherical Uniformity AISTATS 2021

A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning NIPS 2021

Orthogonal Over-Parameterized Training CVPR 2021

Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020

Exponential Family Estimation via Adversarial Dynamics Embedding NIPS 2019

Neural Similarity Learning NIPS 2019

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation ICML 2018

Decoupled Networks CVPR 2018

Coupled Variational Bayes via Optimization Embedding NIPS 2018

Learning towards Minimum Hyperspherical Energy NIPS 2018

Towards Black-box Iterative Machine Teaching ICML 2018