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2020 – today
- 2024
[j40]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)- [j39]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. J. Artif. Intell. Res. 81: 1-42 (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) - [c112]Yicheng Feng, Boshi An, Zongqing Lu:
Learning Multi-Object Positional Relationships via Emergent Communication. AAAI 2024: 17371-17379 - [c111]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI 2024: 17444-17452 - [c110]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 - [c109]Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu:
Multi-Agent Alternate Q-Learning. AAMAS 2024: 1791-1799 - [c108]Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu:
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS 2024: 2369-2371 - [c107]Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao:
Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning. CVPR Workshops 2024: 646-655 - [c106]Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu:
Reinforcement Learning Friendly Vision-Language Model for Minecraft. ECCV (68) 2024: 1-17 - [c105]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. ECCV (30) 2024: 55-72 - [c104]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. ECCV (81) 2024: 249-267 - [c103]Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu:
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. ECCV (8) 2024: 426-443 - [c102]Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang:
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. EMNLP (Findings) 2024: 12806-12816 - [c101]Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu:
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR 2024 - [c100]Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu:
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. ICLR 2024 - [c99]Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu:
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. ICLR 2024 - [c98]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. ICME 2024: 1-6 - [c97]Yige Wang, Risheng Huang, Haozhi Huang, Zongqing Lu:
FusionDreamer: Consistent Images Generation from Sparse-view Images. ICME 2024: 1-6 - [c96]Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu:
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. ICML 2024 - [c95]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. ICML 2024 - [c94]Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu:
MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. IJCNN 2024: 1-8 - [c93]Zhou Jiale, Wenqin Huang, Qingmin Liao, Zongqing Lu, Xiaoqian Liu:
Multi-Dimensional Attention on Cost Volume for Stereo Matching. IJCNN 2024: 1-8 - [c92]Huiqing Su, Wenqin Huang, Qingmin Liao, Zongqing Lu:
Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation. IJCNN 2024: 1-8 - [c91]Wanpeng Zhang, Zongqing Lu:
AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. NAACL-HLT (Findings) 2024: 782-799 - [c90]Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu:
LLaMA-Rider: Spurring Large Language Models to Explore the Open World. NAACL-HLT (Findings) 2024: 4705-4724 - [i76]Jiechuan Jiang, Kefan Su, Zongqing Lu:
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR abs/2401.04934 (2024) - [i75]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR abs/2402.02097 (2024) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - [i68]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i67]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) - [i66]Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li:
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR abs/2405.15369 (2024) - [i65]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) - [i64]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) - [i63]Bohan Zhou, Jiangxing Wang, Zongqing Lu:
NOLO: Navigate Only Look Once. CoRR abs/2408.01384 (2024) - [i62]Haobin Jiang, Zongqing Lu:
Visual Grounding for Object-Level Generalization in Reinforcement Learning. CoRR abs/2408.01942 (2024) - [i61]Zhirui Fang, Ming Yang, Weishuai Zeng, Boyu Li, Junpeng Yue, Ziluo Ding, Xiu Li, Zongqing Lu:
Egocentric Vision Language Planning. CoRR abs/2408.05802 (2024) - [i60]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR abs/2410.02155 (2024) - [i59]Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. CoRR abs/2410.02475 (2024) - [i58]Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu:
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. CoRR abs/2410.02477 (2024) - [i57]Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu:
Cross-Embodiment Dexterous Grasping with Reinforcement Learning. CoRR abs/2410.02479 (2024) - [i56]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - [i55]Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu:
Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models. CoRR abs/2410.03311 (2024) - [i54]Junpeng Yue, Xinrun Xu, Börje F. Karlsson, Zongqing Lu:
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. CoRR abs/2410.03450 (2024) - [i53]Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li:
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR abs/2410.20750 (2024) - [i52]Hao Luo, Bohan Zhou, Zongqing Lu:
Pre-trained Visual Dynamics Representations for Efficient Policy Learning. CoRR abs/2411.03169 (2024) - [i51]Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Zongqing Lu:
VideoOrion: Tokenizing Object Dynamics in Videos. CoRR abs/2411.16156 (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) - [c89]Jiechuan Jiang, Zongqing Lu:
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI 2023: 8050-8059 - [c88]Yicheng Feng, Zongqing Lu:
Multi-Agent Language Learning: Symbolic Mapping. ACL (Findings) 2023: 7756-7770 - [c87]Jiechuan Jiang, Zongqing Lu:
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS 2023: 23-30 - [c86]Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu:
Multi-Agent Automated Machine Learning. CVPR 2023: 11960-11969 - [c85]Jiechuan Jiang, Zongqing Lu:
Offline Decentralized Multi-Agent Reinforcement Learning. ECAI 2023: 1148-1155 - [c84]Kai Tian, Mengze Pan, Zongqing Lu, Qingmin Liao:
Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer. ICANN (6) 2023: 576-587 - [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]