| 2025 | CVPR | Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. | Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi |
| 2025 | ICML | DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making. | Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang |
| 2024 | AAAI | BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion. | Yuming Qiao, Fanyi Wang, Jingwen Su, Yanhao Zhang, Yunjie Yu, Siyu Wu, Guo-Jun Qi |
| 2024 | CVPR | OmniMotionGPT: Animal Motion Generation with Limited Data. | Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang |
| 2024 | CVPR | OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. | Zilyu Ye, Jinxiu Liu, Jinjin Cao, Zhiyang Chen, Ziwei Xuan, Mingyuan Zhou, Qi Liu, Guo-Jun Qi |
| 2024 | ECCV | Towards Open Domain Text-Driven Synthesis of Multi-person Motions. | Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill |
| 2024 | IJCAI | Zero-shot High-fidelity and Pose-controllable Character Animation. | Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang |
| 2023 | CVPR | High-Fidelity Clothed Avatar Reconstruction from a Single Image. | Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, Zhen Lei |
| 2023 | CVPR | POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery. | Ce Zheng, Xianpeng Liu, Guo-Jun Qi, Chen Chen |
| 2023 | CVPR | FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. | Ce Zheng, Matas Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen |
| 2023 | ICCV | Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. | Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu |
| 2023 | ICCV | Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. | Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei |
| 2022 | CoRL | Planning Paths through Occlusions in Urban Environments. | Yutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell |
| 2022 | ECCV | Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. | Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada |
| 2021 | AAAI | A Unified Multi-Scenario Attacking Network for Visual Object Tracking. | Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi |
| 2021 | AAAI | Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. | Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi |
| 2021 | CVPR | AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. | Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi |
| 2021 | ICCV | Knowledge-Enriched Distributional Model Inversion Attacks. | Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi |
| 2021 | ICCV | Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. | Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada |
| 2020 | CVPR | GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. | Xiang Gao, Wei Hu, Guo-Jun Qi |
| 2020 | CVPR | Transformation GAN for Unsupervised Image Synthesis and Representation Learning. | Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li |
| 2020 | CVPR | Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. | Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong |
| 2020 | CVPR | WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. | Liheng Zhang, Guo-Jun Qi |
| 2020 | ICLR | PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search. | Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong |
| 2019 | AAAI | Learning to Adaptively Scale Recurrent Neural Networks. | Hao Hu, Liqiang Wang, Guo-Jun Qi |
| 2019 | CVPR | Task Agnostic Meta-Learning for Few-Shot Learning. | Muhammad Abdullah Jamal, Guo-Jun Qi |
| 2019 | CVPR | AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. | Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo |
| 2019 | ICCV | Few-Shot Image Recognition With Knowledge Transfer. | Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang |
| 2019 | ICCV | AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. | Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian |
| 2019 | WACV | Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. | Li Ren, Guo-Jun Qi, Kien A. Hua |
| 2019 | WACV | Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. | Liheng Zhang, Vivek K. Singh, Guo-Jun Qi, Terrence Chen |
| 2018 | CVPR | Global Versus Localized Generative Adversarial Nets. | Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua |
| 2018 | CVPR | Interleaved Structured Sparse Convolutional Neural Networks. | Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi |
| 2018 | ECCV | Generalized Loss-Sensitive Adversarial Learning with Manifold Margins. | Marzieh Edraki, Guo-Jun Qi |
| 2018 | ECCV | An Adversarial Approach to Hard Triplet Generation. | Yiru Zhao, Zhongming Jin, Guo-Jun Qi, Hongtao Lu, Xian-Sheng Hua |
| 2017 | AAAI | CLARE: A Joint Approach to Label Classification and Tag Recommendation. | Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li |
| 2017 | CVPR | Temporal Domain Neural Encoder for Video Representation Learning. | Hao Hu, Zhaowen Wang, Joon-Young Lee, Zhe Lin, Guo-Jun Qi |
| 2017 | CVPR | Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. | Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang |
| 2017 | FlAIRS | A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. | Kristjan Arumae, Guo-Jun Qi, Fei Liu |
| 2017 | ICCV | Interleaved Group Convolutions. | Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang |
| 2017 | ICML | State-Frequency Memory Recurrent Neural Networks. | Hao Hu, Guo-Jun Qi |
| 2017 | KDD | Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. | Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo |
| 2017 | KDD | Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. | Liheng Zhang, Charu C. Aggarwal, Guo-Jun Qi |
| 2016 | CVPR | Hierarchically Gated Deep Networks for Semantic Segmentation. | Guo-Jun Qi |
| 2016 | CVPR | Supervised Quantization for Similarity Search. | Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang |
| 2016 | ISM | Supervised Ranking Hash for Semantic Similarity Search. | Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua |
| 2016 | KDD | Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection. | Hao Hu, Joey Velez-Ginorio, Guo-Jun Qi |
| 2015 | CVPR | Sparse composite quantization. | Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang |
| 2015 | ICCV | Differential Recurrent Neural Networks for Action Recognition. | Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi |
| 2015 | KDD | Heterogeneous Network Embedding via Deep Architectures. | Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2015 | KDD | State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. | Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno |
| 2015 | KDD | Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. | Vivek Veeriah, Rohit Durvasula, Guo-Jun Qi |
| 2014 | ICDM | Factorized Similarity Learning in Networks. | Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang |
| 2013 | ICDE | Link prediction across networks by biased cross-network sampling. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2013 | ICDM | Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. | Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui, Thomas S. Huang |
| 2013 | WWW | Mining collective intelligence in diverse groups. | Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang |
| 2013 | WSDM | Online community detection in social sensing. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | ICDE | Community Detection with Edge Content in Social Media Networks. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | WSDM | On clustering heterogeneous social media objects with outlier links. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2012 | SDM | Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. | Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang |
| 2011 | CVPR | Towards cross-category knowledge propagation for learning visual concepts. | Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang |
| 2011 | RTSS | PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness. | Md. Yusuf Sarwar Uddin, Hongyan Wang, Fatemeh Saremi, Guo-Jun Qi, Tarek F. Abdelzaher, Thomas S. Huang |
| 2009 | ICML | An efficient sparse metric learning in high-dimensional space via | Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha, Tat-Seng Chua, Hong-Jiang Zhang |
| 2008 | CVPR | Two-Dimensional Active Learning for image classification. | Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang |
| 2008 | CVPR | A joint appearance-spatial distance for kernel-based image categorization. | Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Zheng-Jun Zha, Hong-Jiang Zhang |
| 2008 | CVPR | Joint multi-label multi-instance learning for image classification. | Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong Wang, Guo-Jun Qi, Zengfu Wang |
| 2007 | CVPR | Concurrent Multiple Instance Learning for Image Categorization. | Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, Hong-Jiang Zhang |
| 2007 | ICIP | Temporally Consistent Gaussian Random Field for Video Semantic Analysis. | Jinhui Tang, Xian-Sheng Hua, Tao Mei, Guo-Jun Qi, Shipeng Li, Xiuqing Wu |
| 2007 | PAKDD | Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation. | Jinhui Tang, Xian-Sheng Hua, Yan Song, Guo-Jun Qi, Xiuqing Wu |
| 2006 | CVPR | Video Annotation by Active Learning and Cluster Tuning. | Guo-Jun Qi, Yan Song, Xian-Sheng Hua, Hong-Jiang Zhang, Li-Rong Dai |