Dequan Wang - RankMe

86 papers A* 16A 3C 1Journal 56Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts. CoRR Keyu Li, Junhao Shi, Yang Xiao, Mohan Jiang, Jie Sun, Yunze Wu, Shijie Xia, Xiaojie Cai, Tianze Xu, Weiye Si, Wenjie Li, Dequan Wang, Pengfei Liu
2026	A*	`conf`	FeelWave: Enabling Emotion-Aware Voice Interaction through Noise-Robust mmWave Emotion Sensing. CHI Lingyu Wang, You Zuo, Dequan Wang, Chenming He, Chengzhen Meng, Xinran Zhang, Xiaoran Fan, Yanyong Zhang
2026	A*	`conf`	FlowGait: Enabling Robust Long-Term Gait Recognition Across Real-World Covariates with mmWave Radar. CHI Dequan Wang, Chenming He, Lingyu Wang, Chengzhen Meng, Xiaoran Fan, Yanyong Zhang
2026	J	`jnl`	Learning Native Continuation for Action Chunking Flow Policies. CoRR Yufeng Liu, Hang Yu, Juntu Zhao, Bocheng Li, Di Zhang, Mingzhu Li, Wenxuan Wu, Yingdong Hu, Junyuan Xie, Junliang Guo, Dequan Wang, Yang Gao
2026	J	`jnl`	Needle in a Haystack: Tracking UAVs from Massive Noise in Real-World 5G-A Base Station Data. CoRR Chengzhen Meng, Chenming He, Yidong Jiang, Xiaoran Fan, Dequan Wang, Lingyu Wang, Jianmin Ji, Yanyong Zhang
2026	J	`jnl`	daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently. CoRR Mohan Jiang, Dayuan Fu, Junhao Shi, Ji Zeng, Weiye Si, Keyu Li, Xuefeng Li, Yang Xiao, Wenjie Li, Dequan Wang, Pengfei Liu
2025	J	`jnl`	DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery. CoRR Keyu Li, Mohan Jiang, Dayuan Fu, Yunze Wu, Xiangkun Hu, Dequan Wang, Pengfei Liu
2025	A*	`conf`	Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models. ICRA Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen
2025	J	`jnl`	Do You Need Proprioceptive States in Visuomotor Policies? CoRR Juntu Zhao, Wenbo Lu, Di Zhang, Yufeng Liu, Yushen Liang, Tianluo Zhang, Yifeng Cao, Junyuan Xie, Yingdong Hu, Shengjie Wang, Junliang Guo, Dequan Wang, Yang Gao
2025	J	`jnl`	Editorial for Special Issue on Foundation Models for Medical Image Analysis. Medical Image Anal. Xiaosong Wang, Dequan Wang, Xiaoxiao Li, Jens Rittscher, Dimitris N. Metaxas, Shaoting Zhang
2025	J	`jnl`	FlockVote: LLM-Empowered Agent-Based Modeling for Simulating U.S. Presidential Elections. CoRR Lingfeng Zhou, Yi Xu, Zhenyu Wang, Dequan Wang
2025	J	`jnl`	FlowMesh: A Service Fabric for Composable LLM Workflows. CoRR Junyi Shen, Noppanat Wadlom, Lingfeng Zhou, Dequan Wang, Xu Miao, Lei Fang, Yao Lu
2025	J	`jnl`	GR-Fall: A Fall Detection System with Gait Recognition for Indoor Environments Using SISO mmWave Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chengzhen Meng, Chenming He, Dequan Wang, Yuxuan Xiao, Lingyu Wang, Xiaoran Fan, Lu Zhang, Yanyong Zhang
2025	A*	`conf`	Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel. MobiCom Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Haojie Ren, Jianmin Ji, Yanyong Zhang
2025	J	`jnl`	Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel. CoRR Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Haojie Ren, Jianmin Ji, Yanyong Zhang
2025	J	`jnl`	LIMI: Less is More for Agency. CoRR Yang Xiao, Mohan Jiang, Jie Sun, Keyu Li, Jifan Lin, Yumin Zhuang, Ji Zeng, Shijie Xia, Qishuo Hua, Xuefeng Li, Xiaojie Cai, Tongyu Wang, Yue Zhang, Liming Liu, Xia Wu, Jinlong Hou, Yuan Cheng, Wenjie Li, Xiang Wang, Dequan Wang, Pengfei Liu
2025	J	`jnl`	MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding. CoRR Mohan Jiang, Jin Gao, Jiahao Zhan, Dequan Wang
2025	J	`jnl`	MedForge: Building Medical Foundation Models Like Open Source Software Development. CoRR Zheling Tan, Kexin Ding, Jin Gao, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang, Dequan Wang
2025	J	`jnl`	PersonaEval: Are LLM Evaluators Human Enough to Judge Role-Play? CoRR Lingfeng Zhou, Jialing Zhang, Jin Gao, Mohan Jiang, Dequan Wang
2025	J	`jnl`	Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games. CoRR Juntu Zhao, Jialing Zhang, Chongxuan Li, Dequan Wang
2024	A*	`conf`	An Extensible Framework for Open Heterogeneous Collaborative Perception. ICLR Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	An Extensible Framework for Open Heterogeneous Collaborative Perception. CoRR Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Siheng Chen, Yanfeng Wang
2024	A*	`conf`	BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. ICLR Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
2024	J	`jnl`	Data-Centric Foundation Models in Computational Healthcare: A Survey. CoRR Yunkun Zhang, Jin Gao, Zheling Tan, Lingfeng Zhou, Kexin Ding, Mu Zhou, Shaoting Zhang, Dequan Wang
2024	J	`jnl`	Direct Preference Knowledge Distillation for Large Language Models. CoRR Yixing Li, Yuxian Gu, Li Dong, Dequan Wang, Yu Cheng, Furu Wei
2024	—	`conf`	Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. ECCV (57) Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang
2024	J	`jnl`	Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. CoRR Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang
2024	—	`conf`	HumanSim: Human-Like Multi-agent Novel Driving Simulation for Corner Case Generation. ECCV Workshops (7) Lingfeng Zhou, Mohan Jiang, Dequan Wang
2024	J	`jnl`	Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models. CoRR Zhenyu Wang, Yi Xu, Dequan Wang, Lingfeng Zhou, Yiqi Zhou
2024	—	`conf`	KAN-Mixer: Kolmogorov-Arnold Networks for Gene Expression Prediction in Plant Species. ECCV Workshops (2) Jin Gao, Juntu Zhao, Keyu Li, Dequan Wang
2024	—	`conf`	Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. ECCV (69) Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang
2024	J	`jnl`	Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. CoRR Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang
2024	J	`jnl`	OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
2024	J	`jnl`	RDGait: A mmWave Based Gait User Recognition System for Complex Indoor Environments Using Single-chip Radar. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Dequan Wang, Xinran Zhang, Kai Wang, Lingyu Wang, Xiaoran Fan, Yanyong Zhang
2024	—	`conf`	Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models. ECCV Workshops (9) Jialing Zhang, Chongxuan Li, Dequan Wang
2024	J	`jnl`	mmPlace: Robust Place Recognition With Intermediate Frequency Signal of Low-Cost Single-Chip Millimeter Wave Radar. IEEE Robotics Autom. Lett. Chengzhen Meng, Yifan Duan, Chenming He, Dequan Wang, Xiaoran Fan, Yanyong Zhang
2024	J	`jnl`	mmPlace: Robust Place Recognition with Intermediate Frequency Signal of Low-cost Single-chip Millimeter Wave Radar. CoRR Chengzhen Meng, Yifan Duan, Chenming He, Dequan Wang, Xiaoran Fan, Yanyong Zhang
2023	A*	`conf`	Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. CVPR Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
2023	J	`jnl`	BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. CoRR Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
2023	J	`jnl`	MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang
2023	—	`conf`	Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
2023	J	`jnl`	Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
2023	J	`jnl`	Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li
2022	J	`jnl`	Back to the Source: Diffusion-Driven Test-Time Adaptation. CoRR Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang
2022	A*	`conf`	Contrastive Test-Time Adaptation. CVPR Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
2022	J	`jnl`	Contrastive Test-Time Adaptation. CoRR Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
2022	J	`jnl`	Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset. CoRR Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen
2022	J	`jnl`	GACT: Activation Compressed Training for General Architectures. CoRR Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
2022	A*	`conf`	GACT: Activation Compressed Training for Generic Network Architectures. ICML Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung
2022	J	`jnl`	MAROAM: Map-based Radar SLAM through Two-step Feature Selection. CoRR Dequan Wang, Yifan Duan, Xiaoran Fan, Chengzhen Meng, Jianmin Ji, Yanyong Zhang
2021	A*	`conf`	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez
2021	J	`jnl`	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez
2021	A	`conf`	CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek
2021	J	`jnl`	Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks. CoRR Dequan Wang, An Ju, Evan Shelhamer, David A. Wagner, Trevor Darrell
2021	J	`jnl`	On-target Adaptation. CoRR Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell
2021	A*	`conf`	Tent: Fully Test-Time Adaptation by Entropy Minimization. ICLR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2020	J	`jnl`	Algorithm-hardware Co-design for Deformable Convolution. CoRR Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
2020	J	`jnl`	BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud. CoRR Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez
2020	J	`jnl`	CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek
2020	J	`jnl`	Fully Test-time Adaptation by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell
2020	J	`jnl`	Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage. Int. J. Interact. Mob. Technol. Bahiyah Omar, Dequan Wang
2019	—	`conf`	Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
2019	J	`jnl`	Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields. CoRR Evan Shelhamer, Dequan Wang, Trevor Darrell
2019	—	`conf`	Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. ICLR (Poster) Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner
2019	J	`jnl`	Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation. CoRR Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Nießner
2019	A*	`conf`	Deep Object-Centric Policies for Autonomous Driving. ICRA Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
2019	J	`jnl`	Dynamic Scale Inference by Entropy Minimization. CoRR Dequan Wang, Evan Shelhamer, Bruno A. Olshausen, Trevor Darrell
2019	A*	`conf`	Joint Monocular 3D Vehicle Detection and Tracking. ICCV Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2019	A	`conf`	Monocular Plan View Networks for Autonomous Driving. IROS Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
2019	J	`jnl`	Monocular Plan View Networks for Autonomous Driving. CoRR Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krähenbühl, Trevor Darrell
2019	J	`jnl`	Objects as Points. CoRR Xingyi Zhou, Dequan Wang, Philipp Krähenbühl
2018	A*	`conf`	Deep Layer Aggregation. CVPR Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018	J	`jnl`	Deep Object Centric Policies for Autonomous Driving. CoRR Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell
2018	J	`jnl`	Joint Monocular 3D Vehicle Detection and Tracking. CoRR Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2018	—	`conf`	Learning Rich Image Representation with Deep Layer Aggregation. ICLR (Workshop) Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell
2018	—	`conf`	VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. CVPR Workshops Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko
2017	J	`jnl`	Deep Layer Aggregation. CoRR Fisher Yu, Dequan Wang, Trevor Darrell
2017	J	`jnl`	Iterative Object and Part Transfer for Fine-Grained Recognition. CoRR Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
2017	A	`conf`	Iterative object and part transfer for fine-grained recognition. ICME Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
2017	J	`jnl`	VisDA: The Visual Domain Adaptation Challenge. CoRR Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, Kate Saenko
2016	J	`jnl`	Enhancing semi-supervised learning through label-aware base kernels. Neurocomputing Qiaojun Wang, Kai Zhang, Zhengzhang Chen, Dequan Wang, Guofei Jiang, Ivan Marsic
2016	J	`jnl`	FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation. CoRR Judy Hoffman, Dequan Wang, Fisher Yu, Trevor Darrell
2015	J	`jnl`	Learning to Point and Count. CoRR Jie Shao, Dequan Wang, Xiangyang Xue, Zheng Zhang
2015	C	`conf`	Matching Reviews to Object Based on 2-Stage CRF. APWeb Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan
2015	A*	`conf`	Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
2015	A*	`conf`	Weakly supervised semantic segmentation for social images. CVPR Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue