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Feng 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 — 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
- 2024
- [j233]Shuai Huo, Dong Liu, Haotian Zhang, Li Li, Siwei Ma, Feng Wu, Wen Gao:
Towards Hybrid-Optimization Video Coding. ACM Comput. Surv. 56(9): 225:1-225:36 (2024) - [j232]Wei Zhai, Pingyu Wu, Kai Zhu, Yang Cao, Feng Wu, Zheng-Jun Zha:
Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation. Int. J. Comput. Vis. 132(3): 750-775 (2024) - [j231]Runyu Yang, Dong Liu, Feng Wu, Wen Gao:
CC-SMC: Chain coding-based segmentation map lossless compression. J. Vis. Commun. Image Represent. 103: 104222 (2024) - [j230]Yiwen Hou, Jinming Ma, Haoyuan Sun, Feng Wu:
Effective Offline Robot Learning With Structured Task Graph. IEEE Robotics Autom. Lett. 9(4): 3633-3640 (2024) - [j229]Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu:
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. IEEE Trans. Cybern. 54(3): 1997-2010 (2024) - [j228]Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
EI-MVSNet: Epipolar-Guided Multi-View Stereo Network With Interval-Aware Label. IEEE Trans. Image Process. 33: 753-766 (2024) - [j227]Zhangxiang Shi, Tianzhu Zhang, Xi Wei, Feng Wu, Yongdong Zhang:
Decoupled Cross-Modal Phrase-Attention Network for Image-Sentence Matching. IEEE Trans. Image Process. 33: 1326-1337 (2024) - [j226]Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu:
Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning. IEEE Trans. Image Process. 33: 1938-1951 (2024) - [j225]Jinming Ma, Feng Wu:
Learning to Coordinate Traffic Signals With Adaptive Network Partition. IEEE Trans. Intell. Transp. Syst. 25(1): 263-274 (2024) - [j224]Zehui Chen, Chenhongyi Yang, Jiahao Chang, Feng Zhao, Zheng-Jun Zha, Feng Wu:
DDOD: Dive Deeper into the Disentanglement of Object Detector. IEEE Trans. Multim. 26: 284-298 (2024) - [j223]Jie Zhao, Xuejin Chen, Zhiwei Xiong, Zheng-Jun Zha, Feng Wu:
Graph Representation Learning for Large-Scale Neuronal Morphological Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5461-5472 (2024) - [j222]Runyu Yang, Dong Liu, Siwei Ma, Feng Wu, Wen Gao:
Perceptual Quality-Oriented Rate Allocation via Distillation from End-to-End Image Compression. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 198:1-198:22 (2024) - [c392]Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu:
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing. AAAI 2024: 1174-1182 - [c391]Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu:
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation. AAAI 2024: 4162-4170 - [c390]Shenglong Zhou, Zhiwei Xiong, Feng Wu:
Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration. AAAI 2024: 7677-7685 - [c389]Jinfeng Huang, Qiaoqiao She, Wenbin Jiang, Hua Wu, Yang Hao, Tong Xu, Feng Wu:
QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks. LREC/COLING 2024: 13395-13406 - [c388]Jiateng Shou, Zeyu Xiao, Shiyu Deng, Wei Huang, Peiyao Shi, Ruobing Zhang, Zhiwei Xiong, Feng Wu:
Learning Large-Factor EM Image Super-Resolution with Generative Priors. CVPR 2024: 11313-11322 - [c387]Changsheng Gao, Zhuoyuan Li, Li Li, Dong Liu, Feng Wu:
Rethinking the Joint Optimization in Video Coding for Machines: A Case Study. DCC 2024: 556 - [c386]Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu:
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 - [c385]Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu:
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling. ICLR 2024 - [c384]Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
Reinforcement Learning within Tree Search for Fast Macro Placement. ICML 2024 - [c383]Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu:
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 - [c382]Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu:
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. ICML 2024 - [c381]Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024 - [c380]Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu:
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024 - [c379]Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu:
Improving Offline Reinforcement Learning with Inaccurate Simulators. ICRA 2024: 5162-5168 - [c378]Yang Qu, Jinming Ma, Feng Wu:
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control. IJCAI 2024: 184-192 - [i88]Shi Yin, Xinyang Pan, Xudong Zhu, Tianyu Gao, Haochong Zhang, Feng Wu, Lixin He:
Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework. CoRR abs/2401.00744 (2024) - [i87]Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu:
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing. CoRR abs/2401.03043 (2024) - [i86]Xiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Wei Huang, Bo Hu, Xiaoyan Sun, Feng Wu:
Graph Relation Distillation for Efficient Biomedical Instance Segmentation. CoRR abs/2401.06370 (2024) - [i85]Hong Wang, Zhongkai Hao, Jie Wang, Zijie Geng, Zhen Wang, Bin Li, Feng Wu:
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling. CoRR abs/2401.09516 (2024) - [i84]Zhuoyuan Li, Zikun Yuan, Li Li, Dong Liu, Xiaohu Tang, Feng Wu:
Object Segmentation-Assisted Inter Prediction for Versatile Video Coding. CoRR abs/2403.11694 (2024) - [i83]Yansong Peng, Hebei Li, Yueyi Zhang, Xiaoyan Sun, Feng Wu:
Scene Adaptive Sparse Transformer for Event-based Object Detection. CoRR abs/2404.01882 (2024) - [i82]Xize Liang, Chao Chen, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye:
Robust Preference Optimization with Provable Noise Tolerance for LLMs. CoRR abs/2404.04102 (2024) - [i81]Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. CoRR abs/2404.12638 (2024) - [i80]Changsheng Gao, Yiheng Jiang, Li Li, Dong Liu, Feng Wu:
DMOFC: Discrimination Metric-Optimized Feature Compression. CoRR abs/2405.04044 (2024) - [i79]Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu:
Improving Offline Reinforcement Learning with Inaccurate Simulators. CoRR abs/2405.04307 (2024) - [i78]Shi Yin, Xinyang Pan, Fengyan Wang, Feng Wu, Lixin He:
A Framework of SO(3)-equivariant Non-linear Representation Learning and its Application to Electronic-Structure Hamiltonian Prediction. CoRR abs/2405.05722 (2024) - [i77]Yang Qu, Jinming Ma, Feng Wu:
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control. CoRR abs/2405.08443 (2024) - [i76]Yinda Chen, Haoyuan Shi, Xiaoyu Liu, Te Shi, Ruobing Zhang, Dong Liu, Zhiwei Xiong, Feng Wu:
TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction. CoRR abs/2405.16847 (2024) - [i75]Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Yongdong Zhang, Feng Wu:
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR abs/2407.15026 (2024) - [i74]Zhuoyuan Li, Junqi Liao, Chuanbo Tang, Haotian Zhang, Yuqi Li, Yifan Bian, Xihua Sheng, Xinmin Feng, Yao Li, Changsheng Gao, Li Li, Dong Liu, Feng Wu:
USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s. CoRR abs/2409.08481 (2024) - 2023
- [j221]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) - [j220]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) - [j219]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) - [j218]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) - [j217]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) - [j216]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) - [j215]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) - [j214]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) - [j213]Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha:
Image De-Raining Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12978-12995 (2023) - [j212]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) - [j211]Qi Xu, Junpeng Wang, Bo Yuan, Qi Sun, Song Chen, Bei Yu, Yi Kang, Feng Wu:
Reliability-Driven Memristive Crossbar Design in Neuromorphic Computing Systems. IEEE Trans Autom. Sci. Eng. 20(1): 74-87 (2023) - [j210]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) - [j209]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) - [j208]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) - [j207]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) - [j206]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) - [j205]Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. IEEE Trans. Multim. 25: 4335-4348 (2023) - [j204]Naishan Zheng, Jie Huang, Feng Zhao, Xueyang Fu, Feng Wu:
Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance. IEEE Trans. Multim. 25: 5469-5484 (2023) - [c377]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 - [c376]Haoyuan Sun, Feng Wu:
Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines. AAMAS 2023: 1239-1247 - [c375]Jinming Ma, Feng Wu:
Learning to Coordinate from Offline Datasets with Uncoordinated Behavior Policies. AAMAS 2023: 1258-1266 - [c374]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 - [c373]Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Camouflaged Instance Segmentation via Explicit De-Camouflaging. CVPR 2023: 17918-17927 - [c372]Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
DualRel: Semi-Supervised Mitochondria Segmentation from A Prototype Perspective. CVPR 2023: 19617-19626 - [c371]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 - [c370]Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu:
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation. ICCV 2023: 1218-1228 - [c369]Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu:
GET: Group Event Transformer for Event-Based Vision. ICCV 2023: 6015-6025 - [c368]Xiaoyu Liu, Wei Huang, Zhiwei Xiong, Shenglong Zhou, Yueyi Zhang, Xuejin Chen, Zheng-Jun Zha, Feng Wu:
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation. ICCV 2023: 21050-21060 - [c367]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 - [c366]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 - [c365]Shaokai Liu, Hao Feng, Wengang Zhou, Houqiang Li, Cong Liu, Feng Wu:
DocMAE: Document Image Rectification via Self-supervised Representation Learning. ICME 2023: 1613-1618 - [c364]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 - [c363]Jinming Ma, Feng Wu:
Effective Traffic Signal Control with Offline-to-Online Reinforcement Learning. IROS 2023: 1-7 - [c362]Rui Sun, Huayu Mai, Naisong Luo, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation. MICCAI (4) 2023: 523-533 - [c361]Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu:
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. NeurIPS 2023 - [c360]Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu:
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation. NeurIPS 2023 - [c359]Mingxuan Ye, Yufei Kuang, Jie Wang, Yang Rui, Wengang Zhou, Houqiang Li, Feng Wu:
State Sequences Prediction via Fourier Transform for Representation Learning. NeurIPS 2023 - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CoRR abs/2303.16624 (2023) - [i67]Shaokai Liu, Hao Feng, Wengang Zhou, Houqiang Li, Cong Liu, Feng Wu:
DocMAE: Document Image Rectification via Self-supervised Representation Learning. CoRR abs/2304.10341 (2023) - [i66]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) - [i65]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) - [i64]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) - [i63]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR abs/2309.14907 (2023) - [i62]Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu:
GET: Group Event Transformer for Event-Based Vision. CoRR abs/2310.02642 (2023) - [i61]Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu:
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability. CoRR abs/2310.02807 (2023) - [i60]Yufei Kuang, Xijun Li, Jie Wang, Fangzhou Zhu, Meng Lu, Zhihai Wang, Jia Zeng, Houqiang Li, Yongdong Zhang, Feng Wu:
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning. CoRR abs/2310.11845 (2023) - [i59]Haoyang Liu, Yufei Kuang, Jie Wang, Xijun Li, Yongdong Zhang, Feng Wu:
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation. CoRR abs/2310.14161 (2023) - [i58]Mingxuan Ye, Yufei Kuang, Jie Wang, Rui Yang, Wengang Zhou, Houqiang Li, Feng Wu:
State Sequences Prediction via Fourier Transform for Representation Learning. CoRR abs/2310.15888 (2023) - 2022
- [j203]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) - [j202]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) - [j201]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) - [j200]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) - [j199]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) - [j198]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) - [j197]Zhimin Lu, Jue Wang, Zhiwei Li, Song Chen, Feng Wu:
A Resource-Efficient Pipelined Architecture for Real-Time Semi-Global Stereo Matching. IEEE Trans. Circuits Syst. Video Technol. 32(2): 660-673 (2022) - [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]