Zhang, Dan

50 publications

ICML 2025 A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models Mengyang Sun, Yihao Wang, Tao Feng, Dan Zhang, Yifan Zhu, Jie Tang

NeurIPS 2025 Can Large Language Models Master Complex Card Games? Wei Wang, Fuqing Bie, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang

AAAI 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation Wenwen Gong, Yangliao Geng, Dan Zhang, Yifan Zhu, Xiaolong Xu, Haolong Xiang, Amin Beheshti, Xuyun Zhang, Lianyong Qi

ICLRW 2025 Foundation Model-Based Data Selection for Dense Prediction Tasks Niclas Popp, Dan Zhang, Jan Hendrik Metzen, Matthias Hein, Lukas Schott

UAI 2025 Generative Uncertainty in Diffusion Models Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt

ICLRW 2025 Generative Uncertainty in Diffusion Models Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt

ICCV 2025 LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models Haiwen Huang, Anpei Chen, Volodymyr Havrylov, Andreas Geiger, Dan Zhang

ICLR 2025 SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

TMLR 2025 Temporal Test-Time Adaptation with State-Space Models Mona Schirmer, Dan Zhang, Eric Nalisnick

ICLR 2025 VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis Yumeng Li, William H. Beluch, Margret Keuper, Dan Zhang, Anna Khoreva

ICML 2025 ZeroFlow: Overcoming Catastrophic Forgetting Is Easier than You Think Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang

ICLR 2024 Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva

ICML 2024 Directly Denoising Diffusion Models Dan Zhang, Jingjing Wang, Feng Luo

ICMLW 2024 Domain-Aware Fine-Tuning of Foundation Models Uğur Ali Kaplan, Yumeng Li, Margret Keuper, Anna Khoreva, Dan Zhang

UAI 2024 Early-Exit Neural Networks with Nested Prediction Sets Metod Jazbec, Patrick Forré, Stephan Mandt, Dan Zhang, Eric Nalisnick

IJCAI 2024 FactCHD: Benchmarking Fact-Conflicting Hallucination Detection Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen

NeurIPS 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICMLW 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICMLW 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICLRW 2024 Multimodal Dataset Upgrading: A New Challenge for Data Annotation Haiwen Huang, Dan Zhang, Andreas Geiger

NeurIPS 2024 REST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang

NeurIPS 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger

NeurIPS 2024 SciInstruct: A Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang

WACV 2024 SciOL and MuLMS-Img: Introducing a Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich

ICMLW 2024 Test-Time Adaptation with State-Space Models Mona Schirmer, Dan Zhang, Eric Nalisnick

ECCV 2024 ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers Jinke Li, Xiao He, Chonghua Zhou, Xiaoqiang Cheng, Yang Wen, Dan Zhang

ICCVW 2023 Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li

NeurIPSW 2023 Beyond Top-Class Agreement: Using Divergences to Forecast Performance Under Distribution Shift Mona Schirmer, Dan Zhang, Eric Nalisnick

NeurIPS 2023 Controlling Text-to-Image Diffusion by Orthogonal Finetuning Zeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf

ICLR 2023 GOOD: Exploring Geometric Cues for Detecting Objects in an Open World Haiwen Huang, Andreas Geiger, Dan Zhang

ICCV 2023 Identification of Systematic Errors of Image Classifiers on Rare Subgroups Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang

WACV 2023 Intra-Source Style Augmentation for Improved Domain Generalization Yumeng Li, Dan Zhang, Margret Keuper, Anna Khoreva

NeurIPS 2023 Learning Sample Difficulty from Pre-Trained Models for Reliable Prediction Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

CVPRW 2023 MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask Based on Blind-Spot Network Dan Zhang, Fangfang Zhou, Yuwen Jiang, Zhengming Fu

WACV 2023 One-Shot Synthesis of Images and Segmentation Masks Vadim Sushko, Dan Zhang, Jürgen Gall, Anna Khoreva

ECML-PKDD 2023 Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang

NeurIPS 2023 Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity Metod Jazbec, James Allingham, Dan Zhang, Eric Nalisnick

CVPR 2022 Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap Jinke Li, Xiao He, Yang Wen, Yuan Gao, Xiaoqiang Cheng, Dan Zhang

ICLR 2021 Multi-Class Uncertainty Calibration via Mutual Information Maximization-Based Binning Kanil Patel, William H. Beluch, Bin Yang, Michael Pfeiffer, Dan Zhang

ICLR 2021 You Only Need Adversarial Supervision for Semantic Image Synthesis Edgar Schönfeld, Vadim Sushko, Dan Zhang, Juergen Gall, Bernt Schiele, Anna Khoreva

ECCVW 2020 3D Noise and Adversarial Supervision Is All You Need for Multi-Modal Semantic Image Synthesis Vadim Sushko, Edgar Schönfeld, Dan Zhang, Jürgen Gall, Bernt Schiele, Anna Khoreva

NeurIPS 2020 Understanding Anomaly Detection with Deep Invertible Networks Through Hierarchies of Distributions and Features Robin Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang

NeurIPS 2019 Progressive Augmentation of GANs Dan Zhang, Anna Khoreva

ECCV 2014 Learning to Hash with Partial Tags: Exploring Correlation Between Tags and Hashing Bits for Large Scale Image Retrieval Qifan Wang, Luo Si, Dan Zhang

ICML 2013 MILEAGE: Multiple Instance LEArning with Global Embedding Dan Zhang, Jingrui He, Luo Si, Richard Lawrence

ECCV 2012 A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification Qifan Wang, Luo Si, Dan Zhang

NeurIPS 2011 Multiple Instance Learning on Structured Data Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence

AAAI 2011 Transfer Latent Semantic Learning: Microblog Mining with Less Supervision Dan Zhang, Yan Liu, Richard D. Lawrence, Vijil Chenthamarakshan

IJCAI 2009 M3IC: Maximum Margin Multiple Instance Clustering Dan Zhang, Fei Wang, Luo Si, Tao Li

AAAI 2008 Multi-View Local Learning Dan Zhang, Fei Wang, Changshui Zhang, Tao Li