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2020 – today
- 2024
- [j39]Jiafei Lyu
, Le Wan, Xiu Li, Zongqing Lu:
Off-policy RL algorithms can be sample-efficient for continuous control via sample multiple reuse. Inf. Sci. 666: 120371 (2024) - [j38]Yuanpei Chen
, Yiran Geng
, Fangwei Zhong
, Jiaming Ji
, Jiechuang Jiang
, Zongqing Lu
, Hao Dong
, Yaodong Yang
:
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2804-2818 (2024) - [j37]Weiming Luo
, Zongqing Lu, Qingmin Liao:
LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction. Sensors 24(8): 2400 (2024) - [j36]Shumin An
, Qingmin Liao
, Zongqing Lu, Jing-Hao Xue
:
Dual Correlation Network for Efficient Video Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1572-1585 (2024) - [j35]Kefan Su, Zongqing Lu:
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [c96]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. AAAI 2024: 17371-17379 - [c95]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI 2024: 17444-17452 - [c94]Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu:
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) 2024: 1620-1634 - [c93]Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu:
Multi-Agent Alternate Q-Learning. AAMAS 2024: 1791-1799 - [c92]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS 2024: 2369-2371 - [c91]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR 2024 - [c90]Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu:
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. ICLR 2024 - [c89]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. ICLR 2024 - [i63]Jiechuan Jiang, Kefan Su, Zongqing Lu:
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR abs/2401.04934 (2024) - [i62]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR abs/2402.02097 (2024) - [i61]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR abs/2402.02701 (2024) - [i60]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR abs/2402.03807 (2024) - [i59]Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia:
RL-GPT: Integrating Reinforcement Learning and Code-as-policy. CoRR abs/2402.19299 (2024) - [i58]Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson
, Bo An, Zongqing Lu:
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR abs/2403.03186 (2024) - [i57]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. CoRR abs/2403.09072 (2024) - [i56]Yujiao Jiang, Qingmin Liao, Xiaoyu Li, Li Ma, Qi Zhang, Chaopeng Zhang, Zongqing Lu, Ying Shan:
UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling. CoRR abs/2403.11589 (2024) - [i55]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i54]Jingrui Ye, Zongkai Zhang, Yujiao Jiang, Qingmin Liao, Wenming Yang, Zongqing Lu:
OccGaussian: 3D Gaussian Splatting for Occluded Human Rendering. CoRR abs/2404.08449 (2024) - [i53]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i52]Yujiao Jiang, Qingmin Liao, Zhaolong Wang, Xiangru Lin, Zongqing Lu, Yuxi Zhao, Hanqing Wei, Jingrui Ye, Yu Zhang, Zhijing Shao:
SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations. CoRR abs/2405.19609 (2024) - [i51]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. CoRR abs/2407.01491 (2024) - 2023
- [j34]Liwen Zhu
, Peixi Peng
, Zongqing Lu
, Yonghong Tian
:
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. 35(11): 11570-11584 (2023) - [j33]Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j32]Jiacheng Chen
, Bin-Bin Gao
, Zongqing Lu, Jing-Hao Xue
, Chengjie Wang
, Qingmin Liao
:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 25: 4361-4373 (2023) - [c88]Jiechuan Jiang, Zongqing Lu:
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI 2023: 8050-8059 - [c87]Yicheng Feng, Zongqing Lu:
Multi-Agent Language Learning: Symbolic Mapping. ACL (Findings) 2023: 7756-7770 - [c86]Jiechuan Jiang, Zongqing Lu:
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS 2023: 23-30 - [c85]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CVPR 2023: 11960-11969 - [c84]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. ECAI 2023: 1148-1155 - [c83]Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi:
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. ICCV 2023: 9133-9141 - [c82]Jiawei Xu, Zongqing Lu, Qingmin Liao:
LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. ICIP 2023: 3220-3224 - [c81]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR 2023 - [c80]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR 2023 - [c79]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML 2023: 8103-8119 - [c78]Wenjia Ren
, Qingmin Liao
, Zhijing Shao
, Xiangru Lin
, Xin Yue
, Yu Zhang
, Zongqing Lu
:
Patchmatch Stereo++: Patchmatch Binocular Stereo with Continuous Disparity Optimization. ACM Multimedia 2023: 2315-2325 - [c77]Jiangxing Wang, Deheng Ye, Zongqing Lu:
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS 2023 - [c76]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. NeurIPS 2023 - [i50]Wenzhe Li, Hao Luo
, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye:
A Survey on Transformers in Reinforcement Learning. CoRR abs/2301.03044 (2023) - [i49]Jiechuan Jiang, Zongqing Lu:
Best Possible Q-Learning. CoRR abs/2302.01188 (2023) - [i48]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. CoRR abs/2302.08084 (2023) - [i47]Hao Luo
, Jiechuan Jiang, Zongqing Lu:
Model-Based Decentralized Policy Optimization. CoRR abs/2302.08139 (2023) - [i46]Ziluo Ding, Hao Luo
, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu:
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR abs/2303.10571 (2023) - [i45]Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - [i44]Jiawei Xu, Zongqing Lu, Qingmin Liao:
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. CoRR abs/2304.08101 (2023) - [i43]Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li:
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR abs/2305.18443 (2023) - [i42]Wanpeng Zhang
, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. CoRR abs/2306.02747 (2023) - [i41]Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu:
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. CoRR abs/2306.12860 (2023) - [i40]Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao:
Elucidating the solution space of extended reverse-time SDE for diffusion models. CoRR abs/2309.06169 (2023) - [i39]Wanpeng Zhang
, Zongqing Lu:
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. CoRR abs/2309.17176 (2023) - [i38]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA Rider: Spurring Large Language Models to Explore the Open World. CoRR abs/2310.08922 (2023) - [i37]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. CoRR abs/2310.13255 (2023) - [i36]Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu:
Creative Agents: Empowering Agents with Imagination for Creative Tasks. CoRR abs/2312.02519 (2023) - 2022
- [j31]Yibo Lin
, Tong Qu
, Zongqing Lu
, Yajuan Su, Yayi Wei
:
Asynchronous Reinforcement Learning Framework and Knowledge Transfer for Net-Order Exploration in Detailed Routing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3132-3142 (2022) - [j30]Youcheng Zhang
, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue
, Qingmin Liao:
Deep Learning in Lane Marking Detection: A Survey. IEEE Trans. Intell. Transp. Syst. 23(7): 5976-5992 (2022) - [j29]Shumin An
, Qingmin Liao, Zongqing Lu, Jing-Hao Xue
:
Efficient Semantic Segmentation via Self-Attention and Self-Distillation. IEEE Trans. Intell. Transp. Syst. 23(9): 15256-15266 (2022) - [c75]Yueheng Li, Guangming Xie, Zongqing Lu:
Difference Advantage Estimation for Multi-Agent Policy Gradients. ICML 2022: 13066-13085 - [c74]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. ICML 2022: 20580-20603 - [c73]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. ICML 2022: 25747-25759 - [c72]Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS 2022 - [c71]Jiechuan Jiang, Zongqing Lu:
I2Q: A Fully Decentralized Q-Learning Algorithm. NeurIPS 2022 - [c70]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS 2022 - [c69]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS 2022 - [c68]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Networked Multi-Agent Reinforcement Learning. NeurIPS 2022 - [c67]Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. NeurIPS 2022 - [i35]Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu:
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR abs/2206.04745 (2022) - [i34]Jiafei Lyu, Xiu Li, Zongqing Lu:
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR abs/2206.07989 (2022) - [i33]Yuanpei Chen, Yaodong Yang
, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i32]Haoqi Yuan, Zongqing Lu:
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. CoRR abs/2206.10442 (2022) - [i31]Kefan Su, Siyuan Zhou, Chuang Gan, Xiangjun Wang, Zongqing Lu:
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2209.08244 (2022) - [i30]Jiangxing Wang, Deheng Ye, Zongqing Lu:
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR abs/2209.12681 (2022) - [i29]Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu:
Multi-Agent Sequential Decision-Making via Communication. CoRR abs/2209.12713 (2022) - [i28]Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li:
State Advantage Weighting for Offline RL. CoRR abs/2210.04251 (2022) - [i27]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CoRR abs/2210.09084 (2022) - [i26]Ziluo Ding, Wanpeng Zhang
, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR abs/2210.13942 (2022) - [i25]Kefan Su, Zongqing Lu:
Decentralized Policy Optimization. CoRR abs/2211.03032 (2022) - 2021
- [j28]Fidan Mehmeti, Noor Felemban, Zongqing Lu, Kristina Wheatman, Gregory H. Cirincione, Thomas F. La Porta:
Quality of Information in Gathering Information via Video Analytics for Military Networks. IEEE Commun. Mag. 59(2): 50-55 (2021) - [j27]Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang
, Zongqing Lu, Zhanyu Ma:
Guest Editorial: Special issue on deep learning with small samples. Neurocomputing 456: 461-462 (2021) - [j26]Huy Phan
, Oliver Y. Chén
, Philipp Koch, Zongqing Lu
, Ian McLoughlin
, Alfred Mertins, Maarten De Vos
:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Trans. Biomed. Eng. 68(6): 1787-1798 (2021) - [j25]Youcheng Zhang
, Zongqing Lu, Dongdong Ma
, Jing-Hao Xue
, Qingmin Liao:
Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. IEEE Trans. Intell. Transp. Syst. 22(3): 1532-1542 (2021) - [j24]Zongqing Lu
, Swati Rallapalli, Kevin Chan
, Shiliang Pu, Thomas La Porta
:
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. IEEE Trans. Mob. Comput. 20(2): 352-365 (2021) - [j23]Noor Felemban
, Fidan Mehmeti
, Hana Khamfroush
, Zongqing Lu
, Swati Rallapalli, Kevin S. Chan
, Thomas La Porta
:
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. IEEE Trans. Mob. Comput. 20(4): 1574-1589 (2021) - [c66]Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu:
Hierarchically and Cooperatively Learning Traffic Signal Control. AAAI 2021: 669-677 - [c65]Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue:
Lane Line Detection based on Parallel Spatial Separation Convolution. BMVC 2021: 114 - [c64]Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei:
Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. DATE 2021: 1815-1820 - [c63]Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Parallax Contextual Representations For Stereo Matching. ICIP 2021: 3193-3197 - [c62]Kai Lv, Zongqing Lu, Qingmin Liao:
A Region-Based Descriptor Network for Uniformly Sampled Keypoints. ICIP 2021: 3278-3282 - [c61]Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue:
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. ICIP 2021: 3283-3287 - [c60]Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue:
Disparity Estimation with Scene Depth Cues. ICME 2021: 1-6 - [c59]Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue:
Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. ICME 2021: 1-6 - [c58]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality. ICML 2021: 4992-5001 - [c57]Tianhao Zhang
, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu:
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. ICML 2021: 12491-12500 - [c56]Chengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan, Jing-Hao Xue:
How Video Super-Resolution and Frame Interpolation Mutually Benefit. ACM Multimedia 2021: 5445-5453 - [c55]Leyang Xu, Zongqing Lu:
ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow. PRCV (1) 2021: 429-442 - [i24]Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR abs/2101.00746 (2021) - [i23]Ang A. Li, Zongqing Lu, Chenglin Miao:
Revisiting Prioritized Experience Replay: A Value Perspective. CoRR abs/2102.03261 (2021) - [i22]Kai Lv, Zongqing Lu, Qingmin Liao:
A region-based descriptor network for uniformly sampled keypoints. CoRR abs/2103.01780 (2021) - [i21]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. CoRR abs/2104.09216 (2021) - [i20]Yifan Yu, Haobin Jiang, Zongqing Lu:
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions. CoRR abs/2106.05802 (2021) - [i19]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. CoRR abs/2108.01832 (2021) - [i18]Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu:
Model-Based Opponent Modeling. CoRR abs/2108.01843 (2021) - [i17]Kefan Su, Zongqing Lu:
Divergence-Regularized Multi-Agent Actor-Critic. CoRR abs/2110.00304 (2021) - [i16]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. CoRR abs/2111.12263 (2021) - [i15]Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu:
Learning to Share in Multi-Agent Reinforcement Learning. CoRR abs/2112.08702 (2021) - 2020
- [j22]Liping Zhang, Zongqing Lu, Qingmin Liao:
OFR-Net: Optical Flow Refinement with a Pyramid Dense Residual Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(11): 1312-1318 (2020) - [j21]Zongqing Lu
, Kevin Chan
, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta
:
NetVision: On-Demand Video Processing in Wireless Networks. IEEE/ACM Trans. Netw. 28(1): 196-209 (2020) - [c54]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. AAAI 2020: 4337-4344 - [c53]Wenrui Liu, Zongqing Lu, He Xu:
Auxiliary Edge Detection for Semantic Image Segmentation. ICCAI 2020: 182-187 - [c52]Liping Zhang, Zongqing Lu:
Optical Flow Estimation Using a Non-Local Convolutional Network. ICCAI 2020: 407-411 - [c51]Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. ICIP 2020: 2780-2784 - [c50]Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu:
Graph Convolutional Reinforcement Learning. ICLR 2020 - [c49]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [i14]Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
XSepConv: Extremely Separated Convolution. CoRR abs/2002.12046 (2020) - [i13]Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao:
Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. CoRR abs/2005.08806 (2020) - [i12]Jiechuan Jiang, Zongqing Lu:
The Emergence of Individuality in Multi-Agent Reinforcement Learning. CoRR abs/2006.05842 (2020) - [i11]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR abs/2006.06455 (2020)
2010 – 2019
- 2019
- [j20]Zongqing Lu
, Kevin S. Chan
, Shiliang Pu, Thomas La Porta
:
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. IEEE Trans. Mob. Comput. 18(7): 1513-1526 (2019) - [c48]Dongdong Ma
, Zongqing Lu, Youcheng Zhang, Qingmin Liao, Hui Ma:
Exploring Discriminative Features in Mueller Matrix Images for Electrospinning Classification. ICIP 2019: 225-229 - [c47]Jialu Wang, Zongqing Lu, Qingmin Liao:
Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. ICIP 2019: 330-334 - [c46]Bin Yuan, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Approach to Automatic Clothing Matting from Mannequins. ICME 2019: 880-885 - [c45]Zhengyang Sun, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. ICME 2019: 1570-1575 - [c44]Yachi Zhang, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Rotation-Invariant Deep Network for 3D Object Recognition. ICME 2019: 1606-1611 - [c43]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. NeurIPS 2019: 13854-13865 - [c42]Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys@SenSys 2019: 61-70 - [i10]Jiechuan Jiang, Zongqing Lu:
Generative Exploration and Exploitation. CoRR abs/1904.09605 (2019) - [i9]Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos:
Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. CoRR abs/1907.13177 (2019) - [i8]Jiechuan Jiang, Zongqing Lu:
Learning Fairness in Multi-Agent Systems. CoRR abs/1910.14472 (2019) - 2018
- [j19]Wanping Zhang, Zhen Xu, Yichuan Wang, Zongqing Lu, Weifeng Li, Qingmin Liao:
Binarized features with discriminant manifold filters for robust single-sample face recognition. Signal Process. Image Commun. 65: 1-10 (2018) - [c41]Zongqing Lu, Kevin S. Chan, Thomas La Porta:
A Computing Platform for Video Crowdprocessing Using Deep Learning. INFOCOM 2018: 1430-1438 - [c40]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. NeurIPS 2018: 7265-7275 - [i7]Jiechuan Jiang, Zongqing Lu:
Learning Attentional Communication for Multi-Agent Cooperation. CoRR abs/1805.07733 (2018) - [i6]Liping Zhang, Zongqing Lu, Qingmin Liao:
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. CoRR abs/1809.00588 (2018) - [i5]Jiechuan Jiang, Chen Dun, Zongqing Lu:
Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR abs/1810.09202 (2018) - 2017
- [j18]Weifeng Li, Yichuan Wang, Zhen Xu, Yinyan Jiang, Zongqing Lu, Qingmin Liao:
Weighted contourlet binary patterns and image-based fisher linear discriminant for face recognition. Neurocomputing 267: 436-446 (2017) - [j17]Zongqing Lu
, Guohong Cao, Thomas La Porta:
TeamPhone: Networking SmartPhones for Disaster Recovery. IEEE Trans. Mob. Comput. 16(12): 3554-3567 (2017) - [j16]Zongqing Lu
, Xiao Sun, Thomas La Porta:
Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure. IEEE/ACM Trans. Netw. 25(6): 3382-3395 (2017) - [j15]Weizhan Zhang, Yuxuan Chen, Xiang Gao, Zhichao Mo, Qinghua Zheng, Zongqing Lu
:
Cluster-Aware Virtual Machine Collaborative Migration in Media Cloud. IEEE Trans. Parallel Distributed Syst. 28(10): 2808-2822 (2017) - [c39]Nan Liu, Zongqing Lu, Bokun Xu, Qingmin Liao:
Learning a convolutional neural network for sleep stage classification. CISP-BMEI 2017: 1-6 - [c38]Kai Tian, Zongqing Lu, Qingmin Liao, Na Wang:
Video saliency detection based on robust seeds generation and spatio-temporal propagation. CISP-BMEI 2017: 1-6 - [c37]Zongqing Lu, Rixi Li, Qingmin Liao:
Scale-variance pedestrian detection via an integrated system. GCCE 2017: 1-5 - [c36]Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao:
Wavelet-based single image super-resolution with an overall enhancement procedure. ICASSP 2017: 1447-1451 - [c35]Chen Wang, Zongqing Lu, Qingmin Liao, Danyi Li:
Locality Sensitive Hashing based deepmatching for optical flow estimation. ICASSP 2017: 1472-1476 - [c34]Zongqing Lu, Bokun Xu, Nan Liu, Qingmin Liao:
Face recognition via weighted sparse representation using metric learning. ICME 2017: 391-396 - [c33]Zongqing Lu, Noor Felemban, Kevin S. Chan, Thomas La Porta:
On-demand Information Retrieval from Videos Using Deep Learning in Wireless Networks: Demo Abstract. IoTDI 2017: 279-280 - [c32]Zhen Xu, Zongqing Lu, Weifeng Li, Qingmin Liao:
Removing contaminated data for illumination-robust face recognition. IWSSIP 2017: 1-3 - [c31]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. ACM Multimedia 2017: 1663-1671 - [i4]Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices. CoRR abs/1709.09503 (2017) - 2016
- [j14]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Infectious Disease Containment Based on a Wireless Sensor System. IEEE Access 4: 1548-1559 (2016) - [j13]Zuodong Yang, Yong Wu, Wenteng Zhao, Yicong Zhou
, Zongqing Lu, Weifeng Li, Qingmin Liao:
A novel illumination-robust local descriptor based on sparse linear regression. Digit. Signal Process. 48: 269-275 (2016) - [j12]Zongqing Lu, Yonggang Wen, Weizhan Zhang, Qinghua Zheng, Guohong Cao:
Towards Information Diffusion in Mobile Social Networks. IEEE Trans. Mob. Comput. 15(5): 1292-1304 (2016) - [c30]Noor Felemban, Zongqing Lu, Thomas La Porta, Kevin S. Chan:
Video processing of complex activity detection in resource-constrained networks. GlobalSIP 2016: 1345-1348 - [c29]Ben Niu, Sheng Gao
, Fenghua Li, Hui Li, Zongqing Lu:
Protection of location privacy in continuous LBSs against adversaries with background information. ICNC 2016: 1-6 - [c28]Xiafei Lei, Yue Zhang, Zongqing Lu:
Deep learning feature representation for electrocardiogram identification. DSP 2016: 11-14 - [c27]Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta:
On-demand video processing in wireless networks. ICNP 2016: 1-10 - [c26]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative data offloading in opportunistic mobile networks. INFOCOM 2016: 1-9 - [c25]Chih-Tsung Shen, Zongqing Lu, Yi-Ping Hung, Soo-Chang Pei:
Visual enhancement using sparsity-based image decomposition for low backlight displays. ISCAS 2016: 2563-2566 - [c24]Zongqing Lu, Guohong Cao, Thomas La Porta:
Networking smartphones for disaster recovery. PerCom 2016: 1-9 - [c23]Zongqing Lu, Wenjian Zhang, Qingmin Liao:
Pedestrian detection aided by scale-discriminative network. SSCI 2016: 1-7 - [i3]Zongqing Lu, Guohong Cao, Thomas La Porta:
TeamPhone: Networking Smartphones for Disaster Recovery. CoRR abs/1606.03417 (2016) - [i2]Zongqing Lu, Xiao Sun, Thomas La Porta:
Cooperative Data Offloading in Opportunistic Mobile Networks. CoRR abs/1606.03493 (2016) - 2015
- [j11]Zongqing Lu
, Xiao Sun, Yonggang Wen, Guohong Cao, Thomas La Porta:
Algorithms and Applications for Community Detection in Weighted Networks. IEEE Trans. Parallel Distributed Syst. 26(11): 2916-2926 (2015) - [c22]Zuodong Yang, Yinyan Jiang, Yong Wu, Zongqing Lu, Weifeng Li, Qingmin Liao:
Weber binary pattern and Weber ternary pattern for illumination-robust face recognition. APSIPA 2015: 1050-1053 - [c21]Xiao Sun, Zongqing Lu, Wenjie Hu, Guohong Cao:
SymDetector: detecting sound-related respiratory symptoms using smartphones. UbiComp 2015: 97-108 - [c20]Zongqing Lu, Jing Zhao, Yibo Wu
, Guohong Cao:
Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks. ICCCN 2015: 1-9 - [c19]Ben Niu, Xiaoyan Zhu, Weihao Li, Hui Li, Yingjuan Wang, Zongqing Lu:
A personalized two-tier cloaking scheme for privacy-aware location-based services. ICNC 2015: 94-98 - [c18]Wenteng Zhao, Zongqing Lu, Qingmin Liao:
Texture classification using uniform rotation invariant gradient. ICIP 2015: 3650-3654 - [c17]Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salathé, Guohong Cao:
Targeted vaccination based on a wireless sensor system. PerCom 2015: 215-220 - 2014
- [b1]Zongqing Lu:
Exploring social structures for network protocol designs. Nanyang Technological University, Singapore, 2014 - [j10]Kaihong Shi, Zongqing Lu, Qingyun She, Fei Zhou, Qingmin Liao:
Optical Flow Estimation Combining Spatial-Temporal Derivatives Based Nonlinear Filtering. IEICE Trans. Inf. Syst. 97-D(9): 2559-2562 (2014) - [j9]Qingyun She, Zongqing Lu, Weifeng Li, Qingmin Liao:
Multigrid Bilateral Filtering. IEICE Trans. Inf. Syst. 97-D(10): 2748-2759 (2014) - [j8]Yong Wu
, Yinyan Jiang, Yicong Zhou
, Weifeng Li, Zongqing Lu, Qingmin Liao:
Generalized Weber-face for illumination-robust face recognition. Neurocomputing 136: 262-267 (2014) - [j7]Zongqing Lu, Yonggang Wen:
Distributed Algorithm for Tree-Structured Data Aggregation Service Placement in Smart Grid. IEEE Syst. J. 8(2): 553-561 (2014) - [c16]Qingyun She, Zongqing Lu, Qingmin Liao:
Vanishing point estimation for challenging road images. ICIP 2014: 996-1000 - [c15]Chen Wang, Zongqing Lu, Qingmin Liao:
Local texture based optical flow for complex brightness variations. ICIP 2014: 1972-1976 - [c14]Zongqing Lu, Yonggang Wen, Guohong Cao:
Information diffusion in mobile social networks: The speed perspective. INFOCOM 2014: 1932-1940 - [c13]Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao:
Skeleton construction in mobile social networks: Algorithms and applications. SECON 2014: 477-485 - [i1]Ben Niu, Tanran Zhang, Xiaoyan Zhu, Hui Li, Zongqing Lu:
Priority-Aware Private Matching Schemes for Proximity-Based Mobile Social Networks. CoRR abs/1401.8064 (2014) - 2013
- [j6]Zongqing Lu, Yonggang Wen, Rui Fan, Su-Lim Tan, Jit Biswas:
Toward Efficient Distributed Algorithms for In-Network Binary Operator Tree Placement in Wireless Sensor Networks. IEEE J. Sel. Areas Commun. 31(4): 743-755 (2013) - [j5]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion function placement for Active Networks paradigm in wireless sensor networks. Wirel. Networks 19(7): 1525-1536 (2013) - [j4]Zongqing Lu, Su-Lim Tan, Jit Biswas:
D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks. Wirel. Pers. Commun. 70(1): 391-410 (2013) - [c12]Zongqing Lu, Yonggang Wen, Guohong Cao:
Community detection in weighted networks: Algorithms and applications. PerCom 2013: 179-184 - 2012
- [c11]Zongqing Lu, Yonggang Wen:
Credit routing for source-location privacy protection in wireless sensor networks. MASS 2012: 164-172 - [c10]Zongqing Lu, Yonggang Wen:
Distributed and Asynchronous Solution to Operator Placement in Large Wireless Sensor Networks. MSN 2012: 100-107 - 2011
- [j3]Lin Lin, Kai Juan Wong, Arun Kumar
, Zongqing Lu, Su-Lim Tan, Soo-Jay Phee:
Evaluation of a TDMA-based energy efficient MAC protocol for multiple capsule networks. EURASIP J. Wirel. Commun. Netw. 2011: 54 (2011) - [c9]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks. AINA Workshops 2011: 329-334 - [c8]Zongqing Lu, Su-Lim Tan, Jit Biswas:
A power-aware framework for distributed data fusion application in wireless sensor networks. LCN 2011: 127-130 - [c7]Zongqing Lu, Su-Lim Tan, Jit Biswas:
Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks. MASS 2011: 152-154
2000 – 2009
- 2009
- [j2]Zongqing Lu, Qingmin Liao, Jihong Pei:
A Nonlinear Filtering Based Optical Flow Computation. Int. J. Image Graph. 9(1): 121-132 (2009) - [c6]Jianfeng Shen, Zongqing Lu, Qingmin Liao:
An Effective Method for Foreground Segmentation of Video. ICIG 2009: 288-292 - [c5]Zongqing Lu, Qingmin Liao, Fan Yang:
A variational approach to automatic segmentation of RNFL on OCT data sets of the retina. ICIP 2009: 3345-3348 - 2008
- [c4]Zongqing Lu, Xiong Zhang, Chuiliang Sun:
An Embedded System with uClinux Based on FPGA. PACIIA (2) 2008: 691-694 - 2006
- [c3]Zongqing Lu, Weixin Xie:
A PDE-Based Method For Optical Flow Estimation. ICPR (2) 2006: 78-81 - [c2]Jihong Pei, Zongqing Lu, Weixin Xie:
A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter. ICPR (3) 2006: 846-849 - 2005
- [j1]Zongqing Lu, Weixin Xie, Jihong Pei:
A Robust Optical Flow Estimation under Varying Illumination. Int. J. Inf. Acquis. 2(4): 303-313 (2005) - [c1]Zongqing Lu, Weixin Xie, Jihong Pei, Jianjun Huang:
Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms. WACV/MOTION 2005: 241-246
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
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