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ORCIDFeng Wu 0001
Person information
- affiliation: University of Science and Technology of China, Hefei, China
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation: University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Hefei, China
- affiliation (PhD 1999): Harbin Institute of Technology, China
Other persons with the same name
- Feng Wu — disambiguation page
- Feng Wu 0002
![[0000-0002-0780-404X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0780-404X")
— Southwest Petroleum University, Chengdu, China - Feng Wu 0003 — Huazhong University of Science and Technology, Wuhan, China
- Feng Wu 0004 — South China University of Technology, Guangzhou, China
- Feng Wu 0005 — Intel Corporation, Shanghai, China
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2020 – today
- 2023
[j211]Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
An effective hybrid search algorithm for the multiple traveling repairman problem with profits. Eur. J. Oper. Res. 304(2): 381-394 (2023)- [j210]Lilu Zhu, Feng Wu, Yanfeng Hu, Kai Huang, Xinmei Tian:
A heuristic multi-objective task scheduling framework for container-based clouds via actor-critic reinforcement learning. Neural Comput. Appl. 35(13): 9687-9710 (2023) - [j209]Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu:
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1652-1667 (2023) - [j208]Haichuan Ma, Dong Liu, Feng Wu:
Rectified Wasserstein Generative Adversarial Networks for Perceptual Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3648-3663 (2023) - [j207]Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised and Unsupervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5252-5267 (2023) - [j206]Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Task-Aware Weakly Supervised Object Localization With Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9109-9121 (2023) - [j205]Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Continual Image Deraining With Hypergraph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9534-9551 (2023) - [j204]Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang, Feng Wu:
Adaptive Part Mining for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11443-11457 (2023) - [j203]Lilu Zhu, Feng Wu, Kun Fu, Yanfeng Hu, Yang Wang, Xinmei Tian, Kai Huang:
An Active Service Recommendation Model for Multi-Source Remote Sensing Information Using Fusion of Attention and Multi-Perspective. Remote. Sens. 15(10): 2564 (2023) - [j202]Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu:
Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. 70(5): 1539-1552 (2023) - [j201]Aolin Feng, Kang Liu, Dong Liu, Li Li, Feng Wu:
Partition Map Prediction for Fast Block Partitioning in VVC Intra-Frame Coding. IEEE Trans. Image Process. 32: 2237-2251 (2023) - [j200]Qing Cai, Yiming Qian, Jinxing Li, Jun Lyu, Yee-Hong Yang, Feng Wu, David Zhang:
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution. IEEE Trans. Image Process. 32: 3226-3237 (2023) - [j199]Shenglong Zhou, Bo Hu, Zhiwei Xiong, Feng Wu:
Self-Distilled Hierarchical Network for Unsupervised Deformable Image Registration. IEEE Trans. Medical Imaging 42(8): 2162-2175 (2023) - [j198]Changsheng Gao, Dong Liu, Li Li, Feng Wu:
Towards Task-Generic Image Compression: A Study of Semantics-Oriented Metrics. IEEE Trans. Multim. 25: 721-735 (2023) - [c353]Yansong Peng, Yueyi Zhang, Peilin Xiao, Xiaoyan Sun, Feng Wu:
Better and Faster: Adaptive Event Conversion for Event-Based Object Detection. AAAI 2023: 2056-2064 - [c352]Haoyuan Sun, Feng Wu:
Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines. AAMAS 2023: 1239-1247 - [c351]Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu:
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers. CVPR 2023: 2904-2914 - [c350]Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Camouflaged Instance Segmentation via Explicit De-Camouflaging. CVPR 2023: 17918-17927 - [c349]Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
DualRel: Semi-Supervised Mitochondria Segmentation from A Prototype Perspective. CVPR 2023: 19617-19626 - [c348]Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CVPR 2023: 21898-21908 - [c347]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR 2023 - [c346]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR 2023 - [c345]Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Appearance Prompt Vision Transformer for Connectome Reconstruction. IJCAI 2023: 1423-1431 - [i62]Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. CoRR abs/2302.00244 (2023) - [i61]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR abs/2302.01129 (2023) - [i60]Jinming Ma, Feng Wu, Yingfeng Chen, Xianpeng Ji, Yu Ding:
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement. CoRR abs/2302.09318 (2023) - [i59]Jie Wang, Rui Yang, Zijie Geng, Zhihao Shi, Mingxuan Ye, Qi Zhou, Shuiwang Ji, Bin Li, Yongdong Zhang, Feng Wu:
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution. CoRR abs/2302.09601 (2023) - [i58]Jie Wang, Zhihao Shi, Xize Liang, Shuiwang Ji, Bin Li, Feng Wu:
Provably Convergent Subgraph-wise Sampling for Fast GNN Training. CoRR abs/2303.11081 (2023) - [i57]Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CoRR abs/2303.16624 (2023) - [i56]Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR abs/2309.03208 (2023) - [i55]Jie Wang, Hanzhu Chen, Qitan Lv, Zhihao Shi, Jiajun Chen, Huarui He, Hongtao Xie, Yongdong Zhang, Feng Wu:
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction. CoRR abs/2309.11528 (2023) - [i54]Wei Zhai, Pingyu Wu, Kai Zhu, Yang Cao, Feng Wu, Zheng-Jun Zha:
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation. CoRR abs/2309.12943 (2023) - 2022
- [j197]Siwei Ma, Li Zhang, Shiqi Wang, Chuanmin Jia, Shanshe Wang, Tiejun Huang, Feng Wu, Wen Gao:
Evolution of AVS video coding standards: twenty years of innovation and development. Sci. China Inf. Sci. 65(9): 1-24 (2022) - [j196]Jintong Ren, Jin-Kao Hao, Feng Wu, Zhang-Hua Fu:
Intensification-driven local search for the traveling repairman problem with profits. Expert Syst. Appl. 202: 117072 (2022) - [j195]Zheng-Jun Zha, Daqing Liu, Hanwang Zhang, Yongdong Zhang, Feng Wu:
Context-Aware Visual Policy Network for Fine-Grained Image Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 710-722 (2022) - [j194]Haichuan Ma, Dong Liu, Ning Yan, Houqiang Li, Feng Wu:
End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1247-1263 (2022) - [j193]Yaochen Zhu, Zhenzhong Chen, Feng Wu:
Affective Video Content Analysis via Multimodal Deep Quality Embedding Network. IEEE Trans. Affect. Comput. 13(3): 1401-1415 (2022) - [j192]Kun Yang, Dong Liu, Zhibo Chen, Feng Wu, Weiping Li:
Spatiotemporal Generative Adversarial Network-Based Dynamic Texture Synthesis for Surveillance Video Coding. IEEE Trans. Circuits Syst. Video Technol. 32(1): 359-373 (2022) - [j191]Changsheng Gao, Li Li, Dong Liu, Zhibo Chen, Weiping Li, Feng Wu:
Two-Step Fast Mode Decision for Intra Coding of Screen Content. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5608-5622 (2022) - [j190]Bo Hu, Shenglong Zhou, Zhiwei Xiong, Feng Wu:
Cross-Resolution Distillation for Efficient 3D Medical Image Registration. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7269-7283 (2022) - [j189]Qing Cai, Yiming Qian, Sanping Zhou, Jinxing Li, Yee-Hong Yang, Feng Wu, David Zhang:
AVLSM: Adaptive Variational Level Set Model for Image Segmentation in the Presence of Severe Intensity Inhomogeneity and High Noise. IEEE Trans. Image Process. 31: 43-57 (2022) - [j188]Meng Meng, Tianzhu Zhang, Wenfei Yang, Jian Zhao, Yongdong Zhang, Feng Wu:
Diverse Complementary Part Mining for Weakly Supervised Object Localization. IEEE Trans. Image Process. 31: 1774-1788 (2022) - [j187]Qing Cai, Jinxing Li, Huafeng Li, Yee-Hong Yang, Feng Wu, David Zhang:
TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution. IEEE Trans. Image Process. 31: 2375-2389 (2022) - [j186]Mu Li, Jinxing Li, Shuhang Gu, Feng Wu, David Zhang:
End-to-End Optimized 360° Image Compression. IEEE Trans. Image Process. 31: 6267-6281 (2022) - [j185]Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Adversarial Transformers for Weakly Supervised Object Localization. IEEE Trans. Image Process. 31: 7130-7143 (2022) - [j184]Yulin Li, Tianzhu Zhang, Xiang Liu, Qi Tian, Yongdong Zhang, Feng Wu:
Visible-Infrared Person Re-Identification With Modality-Specific Memory Network. IEEE Trans. Image Process. 31: 7165-7178 (2022) - [j183]Bo Hu, Shenglong Zhou, Zhiwei Xiong, Feng Wu:
Recursive Decomposition Network for Deformable Image Registration. IEEE J. Biomed. Health Informatics 26(10): 5130-5141 (2022) - [j182]Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu:
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics 26(11): 5641-5652 (2022) - [j181]Wei Huang, Chang Chen, Zhiwei Xiong, Yueyi Zhang, Xuejin Chen, Xiaoyan Sun, Feng Wu:
Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning. IEEE Trans. Medical Imaging 41(11): 3016-3028 (2022) - [j180]Yongqiang Gui, Hancheng Lu, Feng Wu, Chang Wen Chen:
LensCast: Robust Wireless Video Transmission Over MmWave MIMO With Lens Antenna Array. IEEE Trans. Multim. 24: 33-48 (2022) - [j179]Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong, Zhu Li, Feng Wu:
Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes. IEEE Trans. Multim. 24: 2617-2632 (2022) - [j178]Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6931-6945 (2022) - [j177]Mengke Ge, Xiaobing Ni, Qi Xu, Song Chen, Jinglei Huang, Yi Kang, Feng Wu:
Synthesizing Brain-network-inspired Interconnections for Large-scale Network-on-chips. ACM Trans. Design Autom. Electr. Syst. 27(1): 9:1-9:30 (2022) - [c344]Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha:
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. AAAI 2022: 303-311 - [c343]Jinming Ma, Yingfeng Chen, Feng Wu, Xianpeng Ji, Yu Ding:
Multimodal Reinforcement Learning with Effective State Representation Learning. AAMAS 2022: 1684-1686 - [c342]Mingrui Ai, Kaiping Xue, Bo Luo, Lutong Chen, Nenghai Yu, Qibin Sun, Feng Wu:
Blacktooth: Breaking through the Defense of Bluetooth in Silence. CCS 2022: 55-68 - [c341]Huarui He, Jie Wang, Yunfei Liu, Feng Wu:
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. CIKM 2022: 717-726 - [c340]Jiamin Wu, Tianzhu Zhang, Zhe Zhang, Feng Wu, Yongdong Zhang:
Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition. CVPR 2022: 9141-9150 - [c339]Ganchao Tan, Yang Wang, Han Han, Yang Cao, Feng Wu, Zhengjun Zha:
Multi-grained Spatio-Temporal Features Perceived Network for Event-based Lip-Reading. CVPR 2022: 20062-20071 - [c338]Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu:
Cross-Modality Transformer for Visible-Infrared Person Re-Identification. ECCV (14) 2022: 480-496 - [c337]Fuyu Feng, Tianzhu Zhang, Rui Sun, Jianfeng He, Zhiwei Xiong, Feng Wu:
Electron Microscopy Image Registration with Transformers. ICONIP (3) 2022: 14-25 - [c336]Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu:
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. KDD 2022: 534-544 - [c335]Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu:
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. KDD 2022: 2242-2252 - [c334]Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu:
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. ACM Multimedia 2022: 3974-3982 - [c333]Siying Wu, Xueyang Fu, Feng Wu, Zheng-Jun Zha:
Cross-modal Semantic Alignment Pre-training for Vision-and-Language Navigation. ACM Multimedia 2022: 4233-4241 - [c332]Jie Xiao, Xueyang Fu, Feng Wu, Zheng-Jun Zha:
Stochastic Window Transformer for Image Restoration. NeurIPS 2022 - [c331]Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. WWW 2022: 798-807 - [i53]Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu:
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. CoRR abs/2202.05679 (2022) - [i52]Qing Cai, Yiming Qian, Jinxing Li, Jun Lv, Yee-Hong Yang, Feng Wu, David Zhang:
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution. CoRR abs/2203.10247 (2022) - [i51]Jinze Chen, Yang Wang, Yang Cao, Feng Wu, Zheng-Jun Zha:
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. CoRR abs/2203.11732 (2022) - [i50]Jie Wang, Zhanqiu Zhang, Zhihao Shi, Jianyu Cai, Shuiwang Ji, Feng Wu:
Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings. CoRR abs/2203.12949 (2022) - [i49]Rui Yang, Jie Wang, Zijie Geng, Mingxuan Ye, Shuiwang Ji, Bin Li, Feng Wu:
Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions. CoRR abs/2205.10218 (2022) - [i48]Huarui He, Jie Wang, Zhanqiu Zhang, Feng Wu:
Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation. CoRR abs/2205.11678 (2022) - [i47]Jinming Ma, Feng Wu:
Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control. CoRR abs/2205.13836 (2022) - [i46]Xueliang Wang, Jiajun Chen, Feng Wu, Jie Wang:
Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities. CoRR abs/2206.08021 (2022) - [i45]Xueliang Wang, Jianyu Cai, Shuiwang Ji, Houqiang Li, Feng Wu, Jie Wang:
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification. CoRR abs/2206.08150 (2022) - [i44]Yixiang Wang, Yujing Hu, Feng Wu, Yingfeng Chen:
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. CoRR abs/2207.14722 (2022) - [i43]Huarui He, Jie Wang, Yunfei Liu, Feng Wu:
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. CoRR abs/2208.05482 (2022) - [i42]Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu:
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. CoRR abs/2209.07030 (2022) - 2021
- [j176]Joel E. Fischer, Chris Greenhalgh, Wenchao Jiang, Sarvapali D. Ramchurn, Feng Wu, Tom Rodden:
In-the-loop or on-the-loop? Interactional arrangements to support team coordination with a planning agent. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j175]Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu:
Deep Learning-Based Video Coding: A Review and a Case Study. ACM Comput. Surv. 53(1): 11:1-11:35 (2021) - [j174]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John W. Paisley:
Successive Graph Convolutional Network for Image De-raining. Int. J. Comput. Vis. 129(5): 1691-1711 (2021) - [j173]Wanjie Sun, Zhenzhong Chen, Feng Wu:
Visual Scanpath Prediction Using IOR-ROI Recurrent Mixture Density Network. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2101-2118 (2021) - [j172]Kuisong Zheng, Feng Wu, Xiaoping Chen:
Laser-Based People Detection and Obstacle Avoidance for a Hospital Transport Robot. Sensors 21(3): 961 (2021) - [j171]Shuai Huo, Dong Liu, Bin Li, Siwei Ma, Feng Wu, Wen Gao:
Deep Network-Based Frame Extrapolation With Reference Frame Alignment. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1178-1192 (2021) - [j170]Yefei Wang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao:
Ensemble Learning-Based Rate-Distortion Optimization for End-to-End Image Compression. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1193-1207 (2021) - [j169]Yangjun Ou, Zhenzhong Chen, Feng Wu:
Multimodal Local-Global Attention Network for Affective Video Content Analysis. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1901-1914 (2021) - [j168]Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4895-4908 (2021) - [j167]Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Local Correspondence Network for Weakly Supervised Temporal Sentence Grounding. IEEE Trans. Image Process. 30: 3252-3262 (2021) - [j166]Jianfeng He, Tianzhu Zhang, Yuhui Zheng, Mingliang Xu, Yongdong Zhang, Feng Wu:
Consistency Graph Modeling for Semantic Correspondence. IEEE Trans. Image Process. 30: 4932-4946 (2021) - [j165]Wenfei Yang, Tianzhu Zhang, Zhendong Mao, Yongdong Zhang, Qi Tian, Feng Wu:
Multi-Scale Structure-Aware Network for Weakly Supervised Temporal Action Detection. IEEE Trans. Image Process. 30: 5848-5861 (2021) - [j164]Ning Yan, Changsheng Gao, Dong Liu, Houqiang Li, Li Li, Feng Wu:
SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations. IEEE Trans. Image Process. 30: 8939-8954 (2021) - [j163]Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu:
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 25(9): 3564-3575 (2021) - [j162]Ming Zhang, Hancheng Lu, Feng Wu, Chang Wen Chen:
NOMA-Based Scalable Video Multicast in Mobile Networks With Statistical Channels. IEEE Trans. Mob. Comput. 20(6): 2238-2253 (2021) - [j161]Yongqiang Gui, Hancheng Lu, Feng Wu, Chang Wen Chen:
Robust Video Broadcast for Users With Heterogeneous Resolution in Mobile Networks. IEEE Trans. Mob. Comput. 20(11): 3251-3266 (2021) - [j160]Xuejin Chen, Chi Zhang, Jie Zhao, Zhiwei Xiong, Zheng-Jun Zha, Feng Wu:
Weakly Supervised Neuron Reconstruction From Optical Microscopy Images With Morphological Priors. IEEE Trans. Medical Imaging 40(11): 3205-3216 (2021) - [j159]Jinxing Li, Bob Zhang, Guangming Lu, Yong Xu, Feng Wu, David Zhang:
Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5093-5107 (2021) - [j158]Yang Wang, Yang Cao, Jing Zhang, Feng Wu, Zheng-Jun Zha:
Leveraging Deep Statistics for Underwater Image Enhancement. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 116:1-116:20 (2021) - [c330]Jiajun Chen, Huarui He, Feng Wu, Jie Wang:
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. AAAI 2021: 6271-6278 - [c329]Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu:
Training Spiking Neural Networks with Accumulated Spiking Flow. AAAI 2021: 10320-10328 - [c328]Jianyu Cai, Zhanqiu Zhang, Feng Wu, Jie Wang:
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs. ACL/IJCNLP (Findings) 2021: 219-229 - [c327]Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Qi Tian, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection. CVPR 2021: 53-63 - [c326]Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu:
Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer. CVPR 2021: 2898-2907 - [c325]Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang:
Action Unit Memory Network for Weakly Supervised Temporal Action Localization. CVPR 2021: 9969-9979 - [c324]Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang:
Lesion-Aware Transformers for Diabetic Retinopathy Grading. CVPR 2021: 10938-10947 - [c323]Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. CVPR 2021: 13763-13773 - [c322]Jianping Lin, Dong Liu, Jie Liang, Houqiang Li, Feng Wu:
Modulated Variable-Rate Deep Video Compression. DCC 2021: 351 - [c321]Meng Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, Feng Wu:
Foreground Activation Maps for Weakly Supervised Object Localization. ICCV 2021: 3365-3375