Zizhao Zhang
34 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Academic Marathon (9) π Conference Polyglot (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(66)
π§¬
Topic Evolution
π₯
Mega-Team
(20)
π€
Dynamic Duo
(13)
π
Conference Pioneer
π
Century Club
(33)
π
Trend Setter
ποΈ
Keyword Collector
(134)
π₯
Unstoppable
(10)
β‘
Prolific Year
(6)
Conferences
CVPR (8)
AAAI (5)
ICLR (4)
NIPS (4)
ACL (3)
ECCV (3)
WACV (2)
CORL (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
generative adversarial network
(4)
semi-supervised learning
(3)
large language model
(3)
information retrieval
(2)
3d shape recognition
(2)
catastrophic forgetting
(2)
pseudo label
(2)
image synthesis
(2)
medical imaging
(2)
knowledge distillation
(2)
image generation
(2)
continual learning
(2)
consistency regularization
(2)
retrieval-augmented generation
(2)
hypergraph learning
(2)
attention mechanism
(2)
question answering
(2)
sparse representation
(1)
structure learning
(1)
ensemble learning
(1)
Papers
COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context
ACL 2026
SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation
ACL 2025
CodecLM: Aligning Language Models with Tailored Synthetic Data
NAACL 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation
NIPS 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning
WACV 2024
OpenResearcher: Unleashing AI for Accelerated Scientific Research
EMNLP 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
NIPS 2024
QueryForm: A Simple Zero-shot Form Entity Query Framework
ACL 2023
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction
CORL 2023
Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning
WACV 2023
AutoGT: Automated Graph Transformer Architecture Search
ICLR 2023
Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts
AAAI 2022
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning
ECCV 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
ECCV 2022
Learning To Prompt for Continual Learning
CVPR 2022
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
AAAI 2022
Improved Transformer for High-Resolution GANs
NIPS 2021
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
ICLR 2021
Learning Fast Sample Re-Weighting Without Reward Data
ICCV 2021
Improved Consistency Regularization for GANs
AAAI 2021
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
NIPS 2020
Loss-Based Attention for Deep Multiple Instance Learning
AAAI 2020
Distilling Effective Supervision From Severe Label Noise
CVPR 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
ECCV 2020
Consistency Regularization for Generative Adversarial Networks
ICLR 2020
Distance-Based Learning from Errors for Confidence Calibration
ICLR 2020
Hypergraph Neural Networks
AAAI 2019
Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
CVPR 2019
Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network
CVPR 2018
Dynamic Hypergraph Structure Learning
IJCAI 2018
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition
CVPR 2018
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network
CVPR 2018
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
CVPR 2017
SemiContour: A Semi-Supervised Learning Approach for Contour Detection
CVPR 2016