Jingwei Zhang
19 papers · 2014–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(71)
Top co-authors
Research topics
Keywords
generative model
(3)
differential clustering
(2)
random fourier feature
(2)
medical imaging
(2)
whole slide image
(2)
gradient descent
(1)
adversarial robustness
(1)
reinforcement learning
(1)
neural network interpretability
(1)
bird's eye view
(1)
minimax optimization
(1)
multiple instance learning
(1)
adversarial learning
(1)
survival analysis
(1)
kernel-based methods
(1)
transformer
(1)
optimization landscape
(1)
3d object detection
(1)
image representation
(1)
point cloud
(1)
Papers
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
CVPR 2025
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach
CVPR 2025
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
ICML 2024
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
ECCV 2024
Genie: Generative Interactive Environments
ICML 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
MICCAI 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models
ICML 2024
On Convergence in Wasserstein Distance and f-divergence Minimization Problems
AISTATS 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
CVPR 2024
Towards a Scalable Reference-Free Evaluation of Generative Models
NeurIPS 2024
CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension
EMNLP 2023
Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds
ICCV 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
ICCV 2023
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems
L4DC 2021
Boosting Deep Neural Network Efficiency with Dual-Module Inference
ICML 2020
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
ECCV 2020
Theoretical Analysis of Adversarial Learning: A Minimax Approach
NeurIPS 2019
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
EMNLP 2015
Word Semantic Representations using Bayesian Probabilistic Tensor Factorization
EMNLP 2014