Zongqing Lu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 164

Top Venues

Publications

Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu
Language Model Adaption for Reinforcement Learning with Natural Language Action Space. ACL (1) (2024)
Weiming Luo, Zongqing Lu, Qingmin Liao
LNMVSNet: A Low-Noise Multi-View Stereo Depth Inference Method for 3D Reconstruction. Sensors 24 (8) (2024)
Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu
UniCode: Learning a Unified Codebook for Multimodal Large Language Models. CoRR (2024)
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 (2024)
Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. ICLR (2024)
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 (2024)
Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR (2024)
Haobin Jiang, Ziluo Ding, Zongqing Lu
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR (2024)
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence. CoRR (2024)
Jingrui Ye, Zongkai Zhang, Yujiao Jiang, Qingmin Liao, Wenming Yang, Zongqing Lu
OccGaussian: 3D Gaussian Splatting for Occluded Human Rendering. CoRR (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
Kefan Su, Zongqing Lu
A Fully Decentralized Surrogate for Multi-Agent Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
Towards Understanding How to Reduce Generalization Gap in Visual Reinforcement Learning. AAMAS (2024)
Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li
Cross-Domain Policy Adaptation by Capturing Representation Mismatch. CoRR (2024)
Haobin Jiang, Ziluo Ding, Zongqing Lu
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI (2024)
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) (2024)
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
SEABO: A Simple Search-Based Method for Offline Imitation Learning. CoRR (2024)
Jiechuan Jiang, Kefan Su, Zongqing Lu
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey. CoRR (2024)
Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Li Xiu, Zongqing Lu
SEABO: A Simple Search-Based Method for Offline Imitation Learning. ICLR (2024)
Yicheng Feng, Boshi An, Zongqing Lu
Learning Multi-Object Positional Relationships via Emergent Communication. AAAI (2024)
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 (2024)
Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. ICLR (2024)
Kefan Su, Siyuan Zhou, Jiechuan Jiang, Chuang Gan, Xiangjun Wang, Zongqing Lu
Multi-Agent Alternate Q-Learning. AAMAS (2024)
Qinpeng Cui, Xinyi Zhang, Zongqing Lu, Qingmin Liao
Elucidating the solution space of extended reverse-time SDE for diffusion models. CoRR (2023)
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 (2023)
Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu
Multi-Agent Automated Machine Learning. CVPR (2023)
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)
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 (2023)
Yicheng Feng, Zongqing Lu
Multi-Agent Language Learning: Symbolic Mapping. ACL (Findings) (2023)
Chi Zhang, Penglin Cai, Yuhui Fu, Haoqi Yuan, Zongqing Lu
Creative Agents: Empowering Agents with Imagination for Creative Tasks. CoRR (2023)
Jiechuan Jiang, Zongqing Lu
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. AAAI (2023)
Hao Luo, Jiechuan Jiang, Zongqing Lu
Model-Based Decentralized Policy Optimization. CoRR (2023)
Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu
LLaMA Rider: Spurring Large Language Models to Explore the Open World. CoRR (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. CoRR (2023)
Yicheng Feng, Boshi An, Zongqing Lu
Learning Multi-Object Positional Relationships via Emergent Communication. CoRR (2023)
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)
Jiawei Xu, Zongqing Lu, Qingmin Liao
LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. ICIP (2023)
Jiechuan Jiang, Zongqing Lu
Offline Decentralized Multi-Agent Reinforcement Learning. ECAI (2023)
Jiechuan Jiang, Zongqing Lu
Adaptive Learning Rates for Multi-Agent Reinforcement Learning. AAMAS (2023)
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) (2023)
Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. CoRR (2023)
Jiechuan Jiang, Zongqing Lu
Best Possible Q-Learning. CoRR (2023)
Wanpeng Zhang, Zongqing Lu
RLAdapter: Bridging Large Language Models to Reinforcement Learning in Open Worlds. CoRR (2023)
Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. NeurIPS (2023)
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML (2023)
Bohan Zhou, Ke Li, Jiechuan Jiang, Zongqing Lu
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. CoRR (2023)
Jiangxing Wang, Deheng Ye, Zongqing Lu
Mutual-Information Regularized Multi-Agent Policy Iteration. NeurIPS (2023)
Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR (2023)
Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. CoRR (2023)
Jiafei Lyu, Le Wan, Zongqing Lu, Xiu Li
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse. CoRR (2023)
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)
Jiawei Xu, Zongqing Lu, Qingmin Liao
LLA-FLOW: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. CoRR (2023)
Jiangxing Wang, Deheng Ye, Zongqing Lu
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. ICLR (2023)
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
State Advantage Weighting for Offline RL. Tiny Papers @ ICLR (2023)
Haoqi Yuan, Zongqing Lu
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. ICML (2022)
Kefan Su, Zongqing Lu
Decentralized Policy Optimization. CoRR (2022)
Kefan Su, Siyuan Zhou, Chuang Gan, Xiangjun Wang, Zongqing Lu
MA2QL: A Minimalist Approach to Fully Decentralized Multi-Agent Reinforcement Learning. CoRR (2022)
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)
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR (2022)
Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu
Learning to Share in Networked Multi-Agent Reinforcement Learning. NeurIPS (2022)
Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu
Multi-Agent Automated Machine Learning. CoRR (2022)
Jiechuan Jiang, Zongqing Lu
I2Q: A Fully Decentralized Q-Learning Algorithm. NeurIPS (2022)
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
Mildly Conservative Q-Learning for Offline Reinforcement Learning. CoRR (2022)
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 (2022)
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) (2022)
Jiafei Lyu, Xiu Li, Zongqing Lu
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. NeurIPS (2022)
Jiangxing Wang, Deheng Ye, Zongqing Lu
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. CoRR (2022)
Jiafei Lyu, Xiu Li, Zongqing Lu
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination. CoRR (2022)
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
Mildly Conservative Q-Learning for Offline Reinforcement Learning. NeurIPS (2022)
Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu
Multi-Agent Sequential Decision-Making via Communication. CoRR (2022)
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) (2022)
Haoqi Yuan, Zongqing Lu
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. CoRR (2022)
Kefan Su, Zongqing Lu
Divergence-Regularized Multi-Agent Actor-Critic. ICML (2022)
Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li
State Advantage Weighting for Offline RL. CoRR (2022)
Xiaopeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
Model-Based Opponent Modeling. NeurIPS (2022)
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) (2022)
Yueheng Li, Guangming Xie, Zongqing Lu
Difference Advantage Estimation for Multi-Agent Policy Gradients. ICML (2022)
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 (2021)
Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. ICIP (2021)
Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. ICML (2021)
Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue
Disparity Estimation with Scene Depth Cues. ICME (2021)
Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu
Learning to Share in Multi-Agent Reinforcement Learning. CoRR (2021)
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) (2021)
Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei
Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. DATE (2021)
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 (2021)
Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu
Hierarchically and Cooperatively Learning Traffic Signal Control. AAAI (2021)
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) (2021)
Jiechuan Jiang, Zongqing Lu
The Emergence of Individuality. ICML (2021)
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) (2021)
Yifan Yu, Haobin Jiang, Zongqing Lu
Informative Policy Representations in Multi-Agent Reinforcement Learning via Joint-Action Distributions. CoRR (2021)
Xiaopeng Yu, Jiechuan Jiang, Haobin Jiang, Zongqing Lu
Model-Based Opponent Modeling. CoRR (2021)
Leyang Xu, Zongqing Lu
ReFlowNet: Revisiting Coarse-to-fine Learning of Optical Flow. PRCV (1) (2021)
Jiechuan Jiang, Zongqing Lu
Offline Decentralized Multi-Agent Reinforcement Learning. CoRR (2021)
Kefan Su, Zongqing Lu
Divergence-Regularized Multi-Agent Actor-Critic. CoRR (2021)
Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue
Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. ICME (2021)
Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR (2021)
Ang A. Li, Zongqing Lu, Chenglin Miao
Revisiting Prioritized Experience Replay: A Value Perspective. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zongqing Lu