Ze Wang
30 papers · 2020–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (68) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π± Topic Pioneer
π€
Dynamic Duo
(14)
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(155)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Deep Learning
(18)
Artificial Intelligence
(15)
Machine Learning
(15)
Core AI
(13)
Computer Vision
(12)
Models
(10)
Architectures
(8)
Learning Types Β· Machine Learning
(7)
Application Areas
(6)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Techniques
(6)
Analysis
(5)
Generation
(5)
Processing
(4)
Keywords
image generation
(5)
large language model
(4)
diffusion model
(4)
convolutional filter
(3)
few-shot learning
(3)
filter decomposition
(3)
latent space
(2)
filter atom
(2)
reinforcement learning
(2)
convolutional neural network
(2)
variational inference
(2)
energy-based model
(2)
video understanding
(2)
multimodal learning
(2)
preference optimization
(2)
bias detection
(2)
generative model
(2)
image synthesis
(2)
spatio-temporal learning
(2)
anomaly detection
(1)
Papers
Conditional Text-to-Image Generation with Reference Guidance
WACV 2026
Hierarchical Attention Network with Correction for Cross-Domain User Association
AAAI 2026
OneOcc: Semantic Occupancy Prediction for Legged Robots with a Single Panoramic Camera
CVPR 2026
Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning
ACL 2026
VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking
CVPR 2026
Agent Laboratory: Using LLM Agents as Research Assistants
EMNLP 2025
Bias Amplification: Large Language Models as Increasingly Biased Media
IJCNLP 2025
Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph
AAAI 2025
EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data
WACV 2025
LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries
ACL 2025
Masked Autoencoders Are Effective Tokenizers for Diffusion Models
ICML 2025
MPF: Aligning and Debiasing Language Models post Deployment via Multi-Perspective Fusion
IJCNLP 2025
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness Calibration
COLING 2025
Self-Taught Agentic Long Context Understanding
ACL 2025
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
CVPR 2025
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
ICLR 2025
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
ECCV 2024
JobFair: A Framework for Benchmarking Gender Hiring Bias in Large Language Models
EMNLP 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
CVPR 2024
Binary Latent Diffusion
CVPR 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models
ICLR 2023
Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding
WACV 2023
Continual Learning with Filter Atom Swapping
ICLR 2022
Few-Shot Fast-Adaptive Anomaly Detection
NeurIPS 2022
Adaptive Convolutions With Per-Pixel Dynamic Filter Atom
ICCV 2021
Image Generation using Continuous Filter Atoms
NeurIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
NeurIPS 2021
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
NeurIPS 2021
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
NeurIPS 2020
Stochastic Conditional Generative Networks with Basis Decomposition
ICLR 2020