Jingwei Zhang
19 papers · 2014–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Academic Marathon (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(31)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π₯
Mega-Team
(25)
π
Conference Pioneer
ποΈ
Keyword Collector
(55)
π
Century Club
(19)
β‘
Prolific Year
(8)
Conferences
ICML (4)
CVPR (3)
EMNLP (3)
ECCV (2)
ICCV (2)
NIPS (2)
AISTATS (1)
L4DC (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
random fourier feature
(2)
generative model
(2)
whole slide image
(2)
medical imaging
(2)
adversarial robustness
(1)
survival analysis
(1)
reinforcement learning
(1)
neural network interpretability
(1)
adversarial learning
(1)
minimax optimization
(1)
multiple instance learning
(1)
gradient descent
(1)
bird's eye view
(1)
image representation
(1)
3d object detection
(1)
optimization landscape
(1)
point cloud
(1)
regret bound
(1)
state space model
(1)
semantic segmentation
(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
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
Offline Actor-Critic Reinforcement Learning Scales to Large Models
ICML 2024
Towards a Scalable Reference-Free Evaluation of Generative Models
NIPS 2024
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
ECCV 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
MICCAI 2024
Genie: Generative Interactive Environments
ICML 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative Models
ICML 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
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions
ECCV 2020
Boosting Deep Neural Network Efficiency with Dual-Module Inference
ICML 2020
Theoretical Analysis of Adversarial Learning: A Minimax Approach
NIPS 2019
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections
EMNLP 2015
Word Semantic Representations using Bayesian Probabilistic Tensor Factorization
EMNLP 2014