Zhang, Jingwei

18 publications

CVPR 2025 2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification Jingwei Zhang, Anh Tien Nguyen, Xi Han, Vincent Quoc-Huy Trinh, Hong Qin, Dimitris Samaras, Mahdi S. Hosseini

TMLR 2025 LBMamba: Locally Bi-Directional Mamba Jingwei Zhang, Xi Han, Hong Qin, Mahdi S. Hosseini, Dimitris Samaras

CVPR 2025 Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach Jingwei Zhang, Mohammad Jalali, Cheuk Ting Li, Farzan Farnia

NeurIPS 2025 When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product Youqi Wu, Jingwei Zhang, Farzan Farnia

ICML 2024 An Interpretable Evaluation of Entropy-Based Novelty of Generative Models Jingwei Zhang, Cheuk Ting Li, Farzan Farnia

ECCV 2024 Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following Qiaomu Miao, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras

ICML 2024 Genie: Generative Interactive Environments Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Maria Elisabeth Bechtle, Feryal Behbahani, Stephanie C.Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando De Freitas, Satinder Singh, Tim Rocktäschel

ICML 2024 Offline Actor-Critic Reinforcement Learning Scales to Large Models Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Maria Elisabeth Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin Riedmiller

AISTATS 2024 On Convergence in Wasserstein Distance and F-Divergence Minimization Problems Cheuk Ting Li, Jingwei Zhang, Farzan Farnia

CVPR 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

NeurIPS 2024 Towards a Scalable Reference-Free Evaluation of Generative Models Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia

ICCV 2023 Clusterformer: Cluster-Based Transformer for 3D Object Detection in Point Clouds Yu Pei, Xian Zhao, Hao Li, Jingyuan Ma, Jingwei Zhang, Shiliang Pu

ICCV 2023 MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope Jingwei Zhang, Farzan Farnia

CVPRW 2021 A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification Jingwei Zhang, Ke Ma, John S. Van Arnam, Rajarsi Gupta, Joel H. Saltz, Maria Vakalopoulou, Dimitris Samaras

L4DC 2021 Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems Jingwei Zhang, Zhuoran Yang, Zhengyuan Zhou, Zhaoran Wang

ICML 2020 Boosting Deep Neural Network Efficiency with Dual-Module Inference Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie

ECCV 2020 CycAs: Self-Supervised Cycle Association for Learning Re-Identifiable Descriptions Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang

NeurIPS 2019 Theoretical Analysis of Adversarial Learning: A Minimax Approach Zhuozhuo Tu, Jingwei Zhang, Dacheng Tao