| 2026 | AAAI | Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations. | Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu |
| 2025 | ACL | GAMEBoT: Transparent Assessment of LLM Reasoning in Games. | Wenye Lin, Jonathan Roberts, Yunhan Yang, Samuel Albanie, Zongqing Lu, Kai Han |
| 2025 | EMNLP | Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning. | Jiazheng Liu, Sipeng Zheng, Brje F. Karlsson, Zongqing Lu |
| 2025 | ICCV | MotionCtrl: A Real-Time Controllable Vision-Language-Motion Model. | Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu |
| 2025 | ICCV | VideoOrion: Tokenizing Object Dynamics in Videos. | Yicheng Feng, Yijiang Li, Wanpeng Zhang, Sipeng Zheng, Hao Luo, Zihao Yue, Zongqing Lu |
| 2025 | ICCV | GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training. | Tong Wei, Yijun Yang, Junliang Xing, Yuanchun Shi, Zongqing Lu, Deheng Ye |
| 2025 | ICCV | Unified Multimodal Understanding via Byte-Pair Visual Encoding. | Wanpeng Zhang, Yicheng Feng, Hao Luo, Yijiang Li, Zihao Yue, Sipeng Zheng, Zongqing Lu |
| 2025 | ICLR | From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. | Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu |
| 2025 | ICLR | Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping. | Ziye Huang, Haoqi Yuan, Yuhui Fu, Zongqing Lu |
| 2025 | ICLR | Discrete Latent Plans via Semantic Skill Abstractions. | Haobin Jiang, Jiangxing Wang, Zongqing Lu |
| 2025 | ICLR | Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer. | Hao Luo, Zongqing Lu |
| 2025 | ICLR | Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint. | Jiafei Lyu, Mengbei Yan, Zhongjian Qiao, Runze Liu, Xiaoteng Ma, Deheng Ye, Jingwen Yang, Zongqing Lu, Xiu Li |
| 2025 | ICLR | Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy. | Jiangxing Wang, Zongqing Lu |
| 2025 | ICLR | Cross-Embodiment Dexterous Grasping with Reinforcement Learning. | Haoqi Yuan, Bohan Zhou, Yuhui Fu, Zongqing Lu |
| 2025 | ICLR | MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents. | Junpeng Yue, Xinrun Xu, Brje F. Karlsson, Zongqing Lu |
| 2025 | ICML | Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning. | Yueheng Li, Guangming Xie, Zongqing Lu |
| 2025 | ICML | Cradle: Empowering Foundation Agents towards General Computer Control. | Weihao Tan, Wentao Zhang, Xinrun Xu, Haochong Xia, Ziluo Ding, Boyu Li, Bohan Zhou, Junpeng Yue, Jiechuan Jiang, Yewen Li, Ruyi An, Molei Qin, Chuqiao Zong, Longtao Zheng, Yujie Wu, Xiaoqiang Chai, Yifei Bi, Tianbao Xie, Pengjie Gu, Xiyun Li, Ceyao Zhang, Long Tian, Chaojie Wang, Xinrun Wang, Brje F. Karlsson, Bo An, Shuicheng Yan, Zongqing Lu |
| 2025 | ICML | Scaling Large Motion Models with Million-Level Human Motions. | Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng, Qin Jin, Zongqing Lu |
| 2025 | IROS | NOLO: Navigate Only Look Once. | Bohan Zhou, Zhongbin Zhang, Jiangxing Wang, Zongqing Lu |
| 2025 | NAACL | LLM-Based Explicit Models of Opponents for Multi-Agent Games. | Xiaopeng Yu, Wanpeng Zhang, Zongqing Lu |
| 2025 | UAI | Creative Agents: Empowering Agents with Imagination for Creative Tasks. | Penglin Cai, Chi Zhang, Yuhui Fu, Haoqi Yuan, Zongqing Lu |
| 2025 | UAI | Best Possible Q-Learning. | Jiechuan Jiang, Zongqing Lu |
| 2024 | AAAI | Learning Multi-Object Positional Relationships via Emergent Communication. | Yicheng Feng, Boshi An, Zongqing Lu |
| 2024 | AAAI | Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. | Haobin Jiang, Ziluo Ding, Zongqing Lu |
| 2024 | ACL | Language Model Adaption for Reinforcement Learning with Natural Language Action Space. | Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu |
| 2024 | CVPR | Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-supervised Learning. | Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao |
| 2024 | ECCV | Visual Grounding for Object-Level Generalization in Reinforcement Learning. | Haobin Jiang, Zongqing Lu |
| 2024 | ECCV | Reinforcement Learning Friendly Vision-Language Model for Minecraft. | Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu |
| 2024 | ECCV | Pre-trained Visual Dynamics Representations for Efficient Policy Learning. | Hao Luo, Bohan Zhou, Zongqing Lu |
| 2024 | ECCV | UniCode: Learning a Unified Codebook for Multimodal Large Language Models. | Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu |
| 2024 | EMNLP | LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning. | Siwei Li, Yifan Yang, Yifei Shen, Fangyun Wei, Zongqing Lu, Lili Qiu, Yuqing Yang |
| 2024 | ICLR | SEABO: A Simple Search-Based Method for Offline Imitation Learning. | Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu |
| 2024 | ICLR | Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning. | Haoqi Yuan, Zhancun Mu, Feiyang Xie, Zongqing Lu |
| 2024 | ICLR | Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds. | Sipeng Zheng, Jiazheng Liu, Yicheng Feng, Zongqing Lu |
| 2024 | ICML | Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. | Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu |
| 2024 | ICML | Cross-Domain Policy Adaptation by Capturing Representation Mismatch. | Jiafei Lyu, Chenjia Bai, Jingwen Yang, Zongqing Lu, Xiu Li |
| 2024 | IJCNN | MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation. | Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu |
| 2024 | IJCNN | Multi-Dimensional Attention on Cost Volume for Stereo Matching. | Zhou Jiale, Wenqin Huang, Qingmin Liao, Zongqing Lu, Xiaoqian Liu |
| 2024 | IJCNN | Cross-Patch Relation Enhanced for Weakly Supervised Semantic Segmentation. | Huiqing Su, Wenqin Huang, Qingmin Liao, Zongqing Lu |
| 2024 | NAACL | LLaMA-Rider: Spurring Large Language Models to Explore the Open World. | Yicheng Feng, Yuxuan Wang, Jiazheng Liu, Sipeng Zheng, Zongqing Lu |
| 2024 | NAACL | AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. | Wanpeng Zhang, Zongqing Lu |
| 2023 | AAAI | Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning. | Jiechuan Jiang, Zongqing Lu |
| 2023 | ACL | Multi-Agent Language Learning: Symbolic Mapping. | Yicheng Feng, Zongqing Lu |
| 2023 | CVPR | Multi-Agent Automated Machine Learning. | Zhaozhi Wang, Kefan Su, Jian Zhang, Huizhu Jia, Qixiang Ye, Xiaodong Xie, Zongqing Lu |
| 2023 | ECAI | Offline Decentralized Multi-Agent Reinforcement Learning. | Jiechuan Jiang, Zongqing Lu |
| 2023 | ICANN | Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer. | Kai Tian, Mengze Pan, Zongqing Lu, Qingmin Liao |
| 2023 | ICCV | ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. | Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi |
| 2023 | ICIP | LLA-Flow: A Lightweight Local Aggregation on Cost Volume for Optical Flow Estimation. | Jiawei Xu, Zongqing Lu, Qingmin Liao |
| 2023 | ICLR | State Advantage Weighting for Offline RL. | Jiafei Lyu, Aicheng Gong, Le Wan, Zongqing Lu, Xiu Li |
| 2023 | ICLR | More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization. | Jiangxing Wang, Deheng Ye, Zongqing Lu |
| 2023 | ICML | Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. | Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu |
| 2022 | ICML | Difference Advantage Estimation for Multi-Agent Policy Gradients. | Yueheng Li, Guangming Xie, Zongqing Lu |
| 2022 | ICML | Divergence-Regularized Multi-Agent Actor-Critic. | Kefan Su, Zongqing Lu |
| 2022 | ICML | Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning. | Haoqi Yuan, Zongqing Lu |
| 2021 | AAAI | Hierarchically and Cooperatively Learning Traffic Signal Control. | Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu |
| 2021 | BMVC | Lane Line Detection based on Parallel Spatial Separation Convolution. | Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue |
| 2021 | DATE | Asynchronous Reinforcement Learning Framework for Net Order Exploration in Detailed Routing. | Tong Qu, Yibo Lin, Zongqing Lu, Yajuan Su, Yayi Wei |
| 2021 | ICIP | Parallax Contextual Representations For Stereo Matching. | Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue |
| 2021 | ICIP | A Region-Based Descriptor Network for Uniformly Sampled Keypoints. | Kai Lv, Zongqing Lu, Qingmin Liao |
| 2021 | ICIP | CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. | Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue |
| 2021 | ICML | The Emergence of Individuality. | Jiechuan Jiang, Zongqing Lu |
| 2021 | ICML | FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning. | Tianhao Zhang, Yueheng Li, Chen Wang, Guangming Xie, Zongqing Lu |
| 2020 | AAAI | Generative Exploration and Exploitation. | Jiechuan Jiang, Zongqing Lu |
| 2020 | ICIP | Noise-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer. | Yang Chen, Zongqing Lu, Xuechen Zhang, Lei Chen, Qingmin Liao |
| 2020 | ICLR | Graph Convolutional Reinforcement Learning. | Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu |
| 2019 | ICIP | Exploring Discriminative Features in Mueller Matrix Images for Electrospinning Classification. | Dongdong Ma, Zongqing Lu, Youcheng Zhang, Qingmin Liao, Hui Ma |
| 2019 | ICIP | Estimating Human Shape Under Clothing from Single Frontal View Point Cloud of a Dressed Human. | Jialu Wang, Zongqing Lu, Qingmin Liao |
| 2019 | SENSYS | Heterogeneous Transfer Learning for Thermal Comfort Modeling. | Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen |
| 2018 | INFOCOM | A Computing Platform for Video Crowdprocessing Using Deep Learning. | Zongqing Lu, Kevin S. Chan, Thomas La Porta |
| 2017 | ICASSP | Wavelet-based single image super-resolution with an overall enhancement procedure. | Zongqing Lu, Quan Zou, Fei Zhou, Qingmin Liao |
| 2017 | ICASSP | Locality Sensitive Hashing based deepmatching for optical flow estimation. | Chen Wang, Zongqing Lu, Qingmin Liao, Danyi Li |
| 2016 | ICNP | On-demand video processing in wireless networks. | Zongqing Lu, Kevin S. Chan, Rahul Urgaonkar, Thomas La Porta |
| 2016 | INFOCOM | Cooperative data offloading in opportunistic mobile networks. | Zongqing Lu, Xiao Sun, Thomas La Porta |
| 2016 | ISCAS | Visual enhancement using sparsity-based image decomposition for low backlight displays. | Chih-Tsung Shen, Zongqing Lu, Yi-Ping Hung, Soo-Chang Pei |
| 2016 | PERCOM | Networking smartphones for disaster recovery. | Zongqing Lu, Guohong Cao, Thomas La Porta |
| 2015 | ICCCN | Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks. | Zongqing Lu, Jing Zhao, Yibo Wu, Guohong Cao |
| 2015 | ICIP | Texture classification using uniform rotation invariant gradient. | Wenteng Zhao, Zongqing Lu, Qingmin Liao |
| 2015 | PERCOM | Targeted vaccination based on a wireless sensor system. | Xiao Sun, Zongqing Lu, Xiaomei Zhang, Marcel Salath, Guohong Cao |
| 2014 | ICIP | Vanishing point estimation for challenging road images. | Qingyun She, Zongqing Lu, Qingmin Liao |
| 2014 | ICIP | Local texture based optical flow for complex brightness variations. | Chen Wang, Zongqing Lu, Qingmin Liao |
| 2014 | INFOCOM | Information diffusion in mobile social networks: The speed perspective. | Zongqing Lu, Yonggang Wen, Guohong Cao |
| 2014 | SECON | Skeleton construction in mobile social networks: Algorithms and applications. | Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao |
| 2013 | PERCOM | Community detection in weighted networks: Algorithms and applications. | Zongqing Lu, Yonggang Wen, Guohong Cao |
| 2012 | MASS | Credit routing for source-location privacy protection in wireless sensor networks. | Zongqing Lu, Yonggang Wen |
| 2011 | AINA | Fusion Function Placement Algorithm for Distributed Data Fusion Application in Wireless Sensor Networks. | Zongqing Lu, Su-Lim Tan, Jit Biswas |
| 2011 | LCN | A power-aware framework for distributed data fusion application in wireless sensor networks. | Zongqing Lu, Su-Lim Tan, Jit Biswas |
| 2011 | MASS | Function Placement of Data Fusion for Active Networks Paradigm in Wireless Sensor Networks. | Zongqing Lu, Su-Lim Tan, Jit Biswas |
| 2009 | ICIG | An Effective Method for Foreground Segmentation of Video. | Jianfeng Shen, Zongqing Lu, Qingmin Liao |
| 2009 | ICIP | A variational approach to automatic segmentation of RNFL on OCT data sets of the retina. | Zongqing Lu, Qingmin Liao, Fan Yang |
| 2006 | ICPR | A PDE-Based Method For Optical Flow Estimation. | Zongqing Lu, Weixin Xie |
| 2006 | ICPR | A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter. | Jihong Pei, Zongqing Lu, Weixin Xie |
| 2005 | WACV | Dynamic Texture Recognition by Spatio-Temporal Multiresolution Histograms. | Zongqing Lu, Weixin Xie, Jihong Pei, Jianjun Huang |