Dequan Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts. | Keyu Li, Junhao Shi, Yang Xiao, Mohan Jiang, Jie Sun, Yunze Wu, Dayuan Fu, Shijie Xia, Xiaojie Cai, Tianze Xu, Weiye Si, Wenjie Li, Dequan Wang, Pengfei Liu |
| 2026 | CHI | FlowGait: Enabling Robust Long-Term Gait Recognition Across Real-World Covariates with mmWave Radar. | Dequan Wang, Chenming He, Lingyu Wang, Chengzhen Meng, Xiaoran Fan, Yanyong Zhang |
| 2026 | CHI | FeelWave: Enabling Emotion-Aware Voice Interaction through Noise-Robust mmWave Emotion Sensing. | Lingyu Wang, You Zuo, Dequan Wang, Chenming He, Chengzhen Meng, Xinran Zhang, Xiaoran Fan, Yanyong Zhang |
| 2026 | Mobisys | Needle in a Haystack: Tracking UAVs from Massive Noise in Real-World 5G-A Base Station Data. | Chengzhen Meng, Chenming He, Yidong Jiang, Xiaoran Fan, Dequan Wang, Lingyu Wang, Jianmin Ji, Yanyong Zhang |
| 2025 | ICRA | Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models. | Fangyu Wu, Dequan Wang, Minjune Hwang, Chenhui Hao, Jiawei Lu, Jiamu Zhang, Christopher Chou, Trevor Darrell, Alexandre M. Bayen |
| 2025 | MOBICOM | Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel. | Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Haojie Ren, Jianmin Ji, Yanyong Zhang |
| 2024 | ECCV | Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions. | Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang |
| 2024 | ECCV | KAN-Mixer: Kolmogorov-Arnold Networks for Gene Expression Prediction in Plant Species. | Jin Gao, Juntu Zhao, Keyu Li, Dequan Wang |
| 2024 | ECCV | Solving Inverse Problem with Unspecified Forward Operator Using Diffusion Models. | Jialing Zhang, Chongxuan Li, Dequan Wang |
| 2024 | ECCV | Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models. | Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang |
| 2024 | ECCV | HumanSim: Human-Like Multi-agent Novel Driving Simulation for Corner Case Generation. | Lingfeng Zhou, Mohan Jiang, Dequan Wang |
| 2024 | ICLR | BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. | Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng |
| 2024 | ICLR | An Extensible Framework for Open Heterogeneous Collaborative Perception. | Yifan Lu, Yue Hu, Yiqi Zhong, Dequan Wang, Yanfeng Wang, Siheng Chen |
| 2023 | CVPR | Back to the Source: Diffusion-Driven Adaptation to Test-Time Corruption. | Jin Gao, Jialing Zhang, Xihui Liu, Trevor Darrell, Evan Shelhamer, Dequan Wang |
| 2023 | MICCAI | Text-Guided Foundation Model Adaptation for Pathological Image Classification. | Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang |
| 2022 | CVPR | Contrastive Test-Time Adaptation. | Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi |
| 2022 | ICML | GACT: Activation Compressed Training for Generic Network Architectures. | 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 |
| 2021 | FPGA | CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. | Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek |
| 2021 | ICLR | Tent: Fully Test-Time Adaptation by Entropy Minimization. | Dequan Wang, Evan Shelhamer, Shaoteng Liu, Bruno A. Olshausen, Trevor Darrell |
| 2021 | ICML | 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 |
| 2019 | ICCV | Joint Monocular 3D Vehicle Detection and Tracking. | Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krhenbhl, Trevor Darrell, Fisher Yu |
| 2019 | ICLR | Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation. | Chiyu Max Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Niener |
| 2019 | IROS | Monocular Plan View Networks for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Philipp Krhenbhl, Trevor Darrell |
| 2019 | ICRA | Deep Object-Centric Policies for Autonomous Driving. | Dequan Wang, Coline Devin, Qi-Zhi Cai, Fisher Yu, Trevor Darrell |
| 2018 | CVPR | VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. | Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, Kate Saenko |
| 2018 | CVPR | Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2018 | ICLR | Learning Rich Image Representation with Deep Layer Aggregation. | Fisher Yu, Dequan Wang, Evan Shelhamer, Trevor Darrell |
| 2015 | APWEB | Matching Reviews to Object Based on 2-Stage CRF. | Yongxin Zhang, Qingzhong Li, Dequan Wang, Yanhui Ding, Congli Liu, Zhongmin Yan |
| 2015 | CVPR | Weakly supervised semantic segmentation for social images. | Wei Zhang, Sheng Zeng, Dequan Wang, Xiangyang Xue |
| 2015 | ICCV | Multiple Granularity Descriptors for Fine-Grained Categorization. | Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang |