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Jingwei Zhang

19 papers · 2014–2025 · 9 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.

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad πŸš€ Conference Pioneer ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (71)

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