Matching Reviews to Object Based on 2-Stage CRF. - Yongxin Zhang; Qingzhong Li; Dequan Wang; Yanhui Ding; Congli Liu; Zhongmin Yan (APWeb, 2015)

Weakly supervised semantic segmentation for social images. - Wei Zhang 016; Sheng Zeng; Dequan Wang; Xiangyang Xue 001 (CVPR, 2015)

Multiple Granularity Descriptors for Fine-Grained Categorization. - Dequan Wang; Zhiqiang Shen; Jie Shao 006; Wei Zhang 016; Xiangyang Xue 001; Zheng Zhang 001 (ICCV, 2015)

Learning to Point and Count. - Jie Shao 006; Dequan Wang; Xiangyang Xue 001; Zheng Zhang 001 (CoRR, 2015)

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. - Judy Hoffman; Dequan Wang; Fisher Yu 001; Trevor Darrell (CoRR, 2016)

Enhancing semi-supervised learning through label-aware base kernels. - Qiaojun Wang; Kai Zhang 001; Zhengzhang Chen; Dequan Wang; Guofei Jiang; Ivan Marsic (Neurocomputing, 2016)

Iterative object and part transfer for fine-grained recognition. - Zhiqiang Shen; Yu-Gang Jiang 001; Dequan Wang; Xiangyang Xue 001 (ICME, 2017)

Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Trevor Darrell (CoRR, 2017)

VisDA: The Visual Domain Adaptation Challenge. - Xingchao Peng; Ben Usman; Neela Kaushik; Judy Hoffman; Dequan Wang; Kate Saenko (CoRR, 2017)

VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. - Xingchao Peng; Ben Usman; Neela Kaushik; Dequan Wang; Judy Hoffman; Kate Saenko (CVPR Workshops, 2018)

Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Evan Shelhamer; Trevor Darrell (CVPR, 2018)

Learning Rich Image Representation with Deep Layer Aggregation. - Fisher Yu 001; Dequan Wang; Evan Shelhamer; Trevor Darrell (ICLR (Workshop), 2018)

Joint Monocular 3D Vehicle Detection and Tracking. - Hou-Ning Hu; Qi-Zhi Cai; Dequan Wang; Ji Lin 002; Min Sun 001; Philipp Krähenbühl; Trevor Darrell; Fisher Yu 001 (ICCV, 2019)

Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. - Chiyu Max Jiang; Dequan Wang; Jingwei Huang 001; Philip Marcus; Matthias Nießner (ICLR (Poster), 2019)

Deep Object-Centric Policies for Autonomous Driving. - Dequan Wang; Coline Devin; Qi-Zhi Cai; Fisher Yu 001; Trevor Darrell (ICRA, 2019)

Monocular Plan View Networks for Autonomous Driving. - Dequan Wang; Coline Devin; Qi-Zhi Cai; Philipp Krähenbühl; Trevor Darrell (IROS, 2019)

Algorithm-hardware Co-design for Deformable Convolution. - Qijing Huang 001; Dequan Wang; Yizhao Gao 002; Yaohui Cai; Zhen Dong 003; Bichen Wu; Kurt Keutzer; John Wawrzynek (EMC2@NeurIPS, 2019)

Objects as Points. - Xingyi Zhou; Dequan Wang; Philipp Krähenbühl (CoRR, 2019)

Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. - Evan Shelhamer; Dequan Wang; Trevor Darrell (CoRR, 2019)

Dynamic Scale Inference by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Bruno A. Olshausen; Trevor Darrell (CoRR, 2019)

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. - Zhen Dong 003; Dequan Wang; Qijing Huang 001; Yizhao Gao 002; Yaohui Cai; Bichen Wu; Kurt Keutzer; John Wawrzynek (CoRR, 2020)

Fully Test-time Adaptation by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Shaoteng Liu; Bruno A. Olshausen; Trevor Darrell (CoRR, 2020)

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud. - Mong H. Ng; Kaahan Radia; Jianfei Chen; Dequan Wang; Ionel Gog; Joseph E. Gonzalez (CoRR, 2020)

Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage. - Bahiyah Omar; Dequan Wang (Int. J. Interact. Mob. Technol., 2020)

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. - Qijing Huang 001; Dequan Wang; Zhen Dong 003; Yizhao Gao 002; Yaohui Cai; Tian Li; Bichen Wu; Kurt Keutzer; John Wawrzynek (FPGA, 2021)

Tent: Fully Test-Time Adaptation by Entropy Minimization. - Dequan Wang; Evan Shelhamer; Shaoteng Liu; Bruno A. Olshausen; Trevor Darrell (ICLR, 2021)

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. - Jianfei Chen; Lianmin Zheng; Zhewei Yao; Dequan Wang; Ion Stoica; Michael W. Mahoney; Joseph Gonzalez 001 (ICML, 2021)

Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. - Dequan Wang; An Ju; Evan Shelhamer; David A. Wagner 001; Trevor Darrell (CoRR, 2021)

On-target Adaptation. - Dequan Wang; Shaoteng Liu; Sayna Ebrahimi; Evan Shelhamer; Trevor Darrell (CoRR, 2021)

Contrastive Test-Time Adaptation. - Dian Chen 001; Dequan Wang; Trevor Darrell; Sayna Ebrahimi (CVPR, 2022)

GACT: Activation Compressed Training for Generic Network Architectures. - Xiaoxuan Liu; Lianmin Zheng; Dequan Wang; Yukuo Cen; Weize Chen; Xu Han 007; Jianfei Chen; Zhiyuan Liu 001; Jie Tang 001; Joey Gonzalez; Michael W. Mahoney; Alvin Cheung (ICML, 2022)

GACT: Activation Compressed Training for General Architectures. - Xiaoxuan Liu; Lianmin Zheng; Dequan Wang; Yukuo Cen; Weize Chen; Xu Han 007; Jianfei Chen; Zhiyuan Liu 001; Jie Tang 001; Joey Gonzalez; Michael W. Mahoney; Alvin Cheung (CoRR, 2022)

Back to the Source: Diffusion-Driven Test-Time Adaptation. - Jin Gao; Jialing Zhang; Xihui Liu; Trevor Darrell; Evan Shelhamer; Dequan Wang (CoRR, 2022)

Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset. - Fangyu Wu 003; Dequan Wang; Minjune Hwang; Chenhui Hao; Jiawei Lu; Jiamu Zhang; Christopher Chou; Trevor Darrell; Alexandre M. Bayen (CoRR, 2022)

MAROAM: Map-based Radar SLAM through Two-step Feature Selection. - Dequan Wang; Yifan Duan; Xiaoran Fan; Chengzhen Meng; Jianmin Ji; Yanyong Zhang (CoRR, 2022)

Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. - Jin Gao; Jialing Zhang; Xihui Liu; Trevor Darrell; Evan Shelhamer; Dequan Wang (CVPR, 2023)

Text-Guided Foundation Model Adaptation for Pathological Image Classification. - Yunkun Zhang; Jin Gao; Mu Zhou; Xiaosong Wang 001; Yu Qiao 001; Shaoting Zhang 001; Dequan Wang (MICCAI (5), 2023)

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. - Huahui Yi; Ziyuan Qin 001; Qicheng Lao; Wei Xu 046; Zekun Jiang; Dequan Wang; Shaoting Zhang 001; Kang Li 004 (CoRR, 2023)

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. - Dequan Wang; Xiaosong Wang 001; Lilong Wang; Mengzhang Li; Qian Da; Xiaoqiang Liu; Xiangyu Gao; Jun Shen; Junjun He; Tian Shen; Qi Duan; Jie Zhao 014; et al. (CoRR, 2023)

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. - Jin Gao; Lei Gan; Yuankai Li; Yixin Ye; Dequan Wang (ECCV (57), 2024)

KAN-Mixer: Kolmogorov-Arnold Networks for Gene Expression Prediction in Plant Species. - Jin Gao; Juntu Zhao; Keyu Li; Dequan Wang (ECCV Workshops (2), 2024)

Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models. - Jialing Zhang; Chongxuan Li; Dequan Wang (ECCV Workshops (9), 2024)

Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. - Juntu Zhao; Junyu Deng; Yixin Ye; Chongxuan Li; Zhijie Deng; Dequan Wang (ECCV (69), 2024)

HumanSim: Human-Like Multi-agent Novel Driving Simulation for Corner Case Generation. - Lingfeng Zhou; Mohan Jiang; Dequan Wang (ECCV Workshops (7), 2024)

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. - Siqi Kou; Lei Gan; Dequan Wang; Chongxuan Li; Zhijie Deng (ICLR, 2024)

An Extensible Framework for Open Heterogeneous Collaborative Perception. - Yifan Lu; Yue Hu; Yiqi Zhong; Dequan Wang; Yanfeng Wang 001; Siheng Chen (ICLR, 2024)

Data-Centric Foundation Models in Computational Healthcare: A Survey. - Yunkun Zhang; Jin Gao; Zheling Tan; Lingfeng Zhou; Kexin Ding; Mu Zhou; Shaoting Zhang 001; Dequan Wang (CoRR, 2024)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang 001; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)

Direct Preference Knowledge Distillation for Large Language Models. - Yixing Li; Yuxian Gu; Li Dong 004; Dequan Wang; Yu Cheng; Furu Wei (CoRR, 2024)

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models. - Zhenyu Wang; Yi Xu; Dequan Wang; Lingfeng Zhou; Yiqi Zhou (CoRR, 2024)

mmPlace: Robust Place Recognition With Intermediate Frequency Signal of Low-Cost Single-Chip Millimeter Wave Radar. - Chengzhen Meng; Yifan Duan; Chenming He; Dequan Wang; Xiaoran Fan; Yanyong Zhang (IEEE Robotics Autom. Lett., 2024)

RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar. - Dequan Wang; Xinran Zhang; Kai Wang; Lingyu Wang; Xiaoran Fan; Yanyong Zhang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Editorial for Special Issue on Foundation Models for Medical Image Analysis. - Xiaosong Wang 001; Dequan Wang; Xiaoxiao Li; Jens Rittscher; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2025)

MedForge: Building Medical Foundation Models Like Open Source Software Development. - Zheling Tan; Kexin Ding; Jin Gao; Mu Zhou; Dimitris N. Metaxas; Shaoting Zhang 001; Dequan Wang (CoRR, 2025)

DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery. - Keyu Li; Mohan Jiang; Dayuan Fu; Yunze Wu; Xiangkun Hu; Dequan Wang; Pengfei Liu (CoRR, 2025)

PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play? - Lingfeng Zhou; Jialing Zhang; Jin Gao; Mohan Jiang; Dequan Wang (CoRR, 2025)

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding. - Mohan Jiang; Jin Gao; Jiahao Zhan; Dequan Wang (CoRR, 2025)

GR-Fall: A Fall Detection System with Gait Recognition for Indoor Environments Using SISO mmWave Radar. - Chengzhen Meng; Chenming He; Dequan Wang; Yuxuan Xiao; Lingyu Wang; Xiaoran Fan; Lu Zhang; Yanyong Zhang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)