Guangrun Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search. | Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin |
| 2026 | ACL | Stable Language Guidance for Vision-Language-Action Models. | Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lyu, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang |
| 2025 | CVPR | VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. | Zijian He, Yuwei Ning, Yipeng Qin, Guangrun Wang, Sibei Yang, Liang Lin, Guanbin Li |
| 2025 | ICASSP | Anima | Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Liang Lin |
| 2024 | AAAI | NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. | Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr |
| 2024 | CVPR | AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. | Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang |
| 2024 | ECCV | WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. | Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin |
| 2024 | ECCV | Making Large Language Models Better Planners with Reasoning-Decision Alignment. | Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang |
| 2024 | ECCV | GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. | Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu |
| 2024 | ICASSP | Language-Free Compositional Action Generation via Decoupling Refinement. | Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim |
| 2023 | ICCV | MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. | Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang |
| 2023 | ICCV | Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. | Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang |
| 2023 | ICCV | LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. | Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2023 | ICLR | ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. | Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang |
| 2022 | CVPR | Automated Progressive Learning for Efficient Training of Vision Transformers. | Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang |
| 2022 | CVPR | Beyond Fixation: Dynamic Window Visual Transformer. | Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang |
| 2022 | CVPR | Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. | Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr |
| 2021 | CVPR | Dynamic Slimmable Network. | Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang |
| 2021 | EMNLP | EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. | Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang |
| 2021 | ICCV | BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. | Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang |
| 2021 | ICCV | Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. | Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Solving Inefficiency of Self-supervised Representation Learning. | Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin |
| 2020 | CVPR | Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. | Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin |
| 2020 | CVPR | Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. | Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang |
| 2020 | CVPR | Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. | Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang |
| 2020 | ECCV | EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. | Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang |
| 2020 | KDD | Grammatically Recognizing Images with Tree Convolution. | Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin |
| 2019 | CIKM | CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. | Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin |
| 2019 | CVPR | Adaptively Connected Neural Networks. | Guangrun Wang, Keze Wang, Liang Lin |
| 2017 | CVPR | Learning Object Interactions and Descriptions for Semantic Image Segmentation. | Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang |
| 2017 | ICCV | Deep Dual Learning for Semantic Image Segmentation. | Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang |
| 2016 | AAAI | DARI: Distance Metric and Representation Integration for Person Verification. | Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang |
| 2016 | CVPR | Deep Structured Scene Parsing by Learning with Image Descriptions. | Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo |