A modified hierarchical graph cut based video segmentation approach for high frame rate video. - Xuezhang Hu; Sumit Chakravarty; Qi She; Boyu Wang 004 (Image Processing: Machine Vision Applications, 2013)

Reconstruction of neural network topology using spike train data: Small-world features of hippocampal network. - Qi She; Winnie K. Y. So; Rosa H. M. Chan (EMBC, 2015)

Effective connectivity matrix for neural ensembles. - Qi She; Winnie K. Y. So; Rosa H. M. Chan (EMBC, 2016)

Cross-frequency information transfer from EEG to EMG in grasping. - Winnie K. Y. So; Lingling Yang; Beth Jelfs; Qi She; Savio W. H. Wong; Joseph N. Mak; Rosa H. M. Chan (EMBC, 2016)

Reduced-Rank Linear Dynamical Systems. - Qi She; Yuan Gao 015; Kai Xu; Rosa H. M. Chan (AAAI, 2018)

Weighted Network Density Predicts Range of Latent Variable Model Accuracy. - Jeremiah B. Palmerston; Qi She; Rosa H. M. Chan (EMBC, 2018)

Stochastic Dynamical Systems Based Latent Structure Discovery in High-Dimensional Time Series. - Qi She; Rosa H. M. Chan (ICASSP, 2018)

NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction. - Yuan Gao 015; Qi She; Jiayi Ma 001; Mingbo Zhao; Wei Liu 005; Alan L. Yuille (CoRR, 2018)

Distributed High-Dimension Matrix Operation Optimization on Spark. - Qi She; Jingwei Zhang 003; Ya Zhou; Qing Yang 012; Mingfei Qin (ICACI, 2019)

Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks. - Qi She; Anqi Wu (UAI, 2019)

Neuroscore: A Brain-inspired Evaluation Metric for Generative Adversarial Networks. - Zhengwei Wang; Qi She; Alan F. Smeaton; Tomas E. Ward; Graham Healy (CoRR, 2019)

Generative Adversarial Networks: A Survey and Taxonomy. - Zhengwei Wang; Qi She; Tomas E. Ward (CoRR, 2019)

Stochastic trajectory prediction with social graph network. - Lidan Zhang; Qi She; Ping Guo (CoRR, 2019)

A Spectral Nonlocal Block for Neural Networks. - Lei Zhu 012; Qi She; Lidan Zhang; Ping Guo (CoRR, 2019)

OpenLORIS-Object: A Dataset and Benchmark towards Lifelong Object Recognition. - Qi She; Fan Feng; Xinyue Hao 001; Qihan Yang; Chuanlin Lan; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; Yao Guo; Yimin Zhang 002; Fei Qiao; Rosa H. M. Chan (CoRR, 2019)

CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition. - Zhengwei Wang; Qi She; Tejo Chalasani; Aljosa Smolic (CVPR Workshops, 2020)

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning. - Qi She; Fan Feng; Xinyue Hao 001; Qihan Yang; Chuanlin Lan; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; Yao Guo; Yimin Zhang 002; Fei Qiao; Rosa H. M. Chan (ICRA, 2020)

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM. - Xuesong Shi; Dongjiang Li; Pengpeng Zhao 005; Qinbin Tian; Yuxin Tian; Qiwei Long; Chunhao Zhu; Jingwei Song; Fei Qiao; Le Song; Yangquan Guo; Zhigang Wang; et al. (ICRA, 2020)

Challenges in Task Incremental Learning for Assistive Robotics. - Fan Feng; Rosa H. M. Chan; Xuesong Shi; Yimin Zhang 002; Qi She (IEEE Access, 2020)

A Neuro-AI Interface for Evaluating Generative Adversarial Networks. - Zhengwei Wang; Qi She; Alan F. Smeaton; Tomas E. Ward; Graham Healy (CoRR, 2020)

IROS 2019 Lifelong Robotic Vision Challenge - Lifelong Object Recognition Report. - Qi She; Fan Feng; Qi Liu 042; Rosa H. M. Chan; Xinyue Hao 001; Chuanlin Lan; Qihan Yang; Vincenzo Lomonaco; German Ignacio Parisi; Heechul Bae; Eoin Brophy; Baoquan Chen; et al. (CoRR, 2020)

Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks. - Zhengwei Wang; Qi She; Alan F. Smeaton; Tomás E. Ward; Graham Healy (Neurocomputing, 2020)

IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge [Competitions]. - Heechul Bae; Eoin Brophy; Rosa H. M. Chan; Baoquan Chen; Fan Feng; Gabriele Graffieti; Vidit Goel; Xinyue Hao 001; Hyonyoung Han; Sathursan Kanagarajah; Somesh Kumar; Siew-Kei Lam; et al. (IEEE Robotics Autom. Mag., 2020)

TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding. - Zhengwei Wang; Qi She; Aljosa Smolic (BMVC, 2021)

Inter-intra Variant Dual Representations for Self-supervised Video Recognition. - Lin Zhang 040; Qi She; Zhengyang Shen; Changhu Wang (BMVC, 2021)

Involution: Inverting the Inherence of Convolution for Visual Recognition. - Duo Li; Jie Hu 019; Changhu Wang; Xiangtai Li; Qi She; Lei Zhu 012; Tong Zhang 001; Qifeng Chen (CVPR, 2021)

Avalanche: An End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CVPR Workshops, 2021)

ACTION-Net: Multipath Excitation for Action Recognition. - Zhengwei Wang; Qi She; Aljosa Smolic (CVPR, 2021)

Learning the Superpixel in a Non-Iterative and Lifelong Manner. - Lei Zhu 012; Qi She; Bin Zhang; Yanye Lu; Zhilin Lu; Duo Li; Jie Hu 019 (CVPR, 2021)

MT-ORL: Multi-Task Occlusion Relationship Learning. - Panhe Feng; Qi She; Lei Zhu 012; Jiaxin Li; Lin Zhang 040; Zijian Feng; Changhu Wang; Chunpeng Li; Xuejing Kang; Anlong Ming (ICCV, 2021)

MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. - Jiaxin Li; Zijian Feng; Qi She; Henghui Ding; Changhu Wang; Gim Hee Lee (ICCV, 2021)

Unifying Nonlocal Blocks for Neural Networks. - Lei Zhu 012; Qi She; Duo Li; Yanye Lu; Xuejing Kang; Jie Hu 019; Changhu Wang (ICCV, 2021)

NeMI: Unifying Neural Radiance Fields with Multiplane Images for Novel View Synthesis. - Jiaxin Li; Zijian Feng; Qi She; Henghui Ding; Changhu Wang; Gim Hee Lee (CoRR, 2021)

Avalanche: an End-to-End Library for Continual Learning. - Vincenzo Lomonaco; Lorenzo Pellegrini; Andrea Cossu; Antonio Carta; Gabriele Graffieti; Tyler L. Hayes; Matthias De Lange; Marc Masana; Jary Pomponi; Gido M. van de Ven; Martin Mundt; Qi She; et al. (CoRR, 2021)

How Incomplete is Contrastive Learning? An Inter-intra Variant Dual Representation Method for Self-supervised Video Recognition. - Lin Zhang 040; Qi She; Zhengyang Shen; Changhu Wang (CoRR, 2021)

Generative adversarial networks in time series: A survey and taxonomy. - Eoin Brophy; Zhengwei Wang; Qi She; Tomás Ward (CoRR, 2021)

3rd Place Solution to Google Landmark Recognition Competition 2021. - Cheng Xu; Weimin Wang; Shuai Liu; Yong Wang 051; Yuxiang Tang; Tianling Bian; Yanyu Yan; Qi She; Cheng Yang (CoRR, 2021)

Background-aware Classification Activation Map for Weakly Supervised Object Localization. - Lei Zhu 012; Qi She; Qian Chen; Xiangxi Meng 001; Mufeng Geng; Lujia Jin; Zhe Jiang; Bin Qiu; Yunfei You; Yibao Zhang; Qiushi Ren; Yanye Lu (CoRR, 2021)

An Efficient and Flexible Spike Train Model Via Empirical Bayes. - Qi She; Xiaoli Wu; Beth Jelfs; Adam S. Charles; Rosa H. M. Chan (IEEE Trans. Signal Process., 2021)

Learning from Temporal Gradient for Semi-supervised Action Recognition. - Junfei Xiao; Longlong Jing; Lin Zhang 040; Ju He; Qi She; Zongwei Zhou; Alan L. Yuille; Yingwei Li 002 (CVPR, 2022)

On Learning Contrastive Representations for Learning with Noisy Labels. - Li Yi; Sheng Liu; Qi She; A. Ian McLeod; Boyu Wang 004 (CVPR, 2022)

Weakly Supervised Object Localization as Domain Adaption. - Lei Zhu 012; Qi She; Qian Chen; Yunfei You; Boyu Wang 004; Yanye Lu (CVPR, 2022)

PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. - Zhengyang Shen; Tao Hong; Qi She; Jinwen Ma; Zhouchen Lin (ICML, 2022)

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. - Vincenzo Lomonaco; Lorenzo Pellegrini; Pau Rodríguez; Massimo Caccia; Qi She; Yu Chen; Quentin Jodelet; Ruiping Wang 001; Zheda Mai; David Vázquez 001; German Ignacio Parisi; Nikhil Churamani; et al. (Artif. Intell., 2022)

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy. - Zhengwei Wang; Qi She; Tomás E. Ward (ACM Comput. Surv., 2022)

Towards lifelong object recognition: A dataset and benchmark. - Chuanlin Lan; Fan Feng; Qi Liu 042; Qi She; Qihan Yang; Xinyue Hao 001; Ivan Mashkin; Ka Shun Kei; Dong Qiang; Vincenzo Lomonaco; Xuesong Shi; Zhengwei Wang; et al. (Pattern Recognit., 2022)

Generative Adversarial Networks in Time Series: A Systematic Literature Review. - Eoin Brophy; Zhengwei Wang; Qi She; Tomás Ward (ACM Comput. Surv., 2023)

Background-Aware Classification Activation Map for Weakly Supervised Object Localization. - Lei Zhu 012; Qi She; Qian Chen; Xiangxi Meng 001; Mufeng Geng; Lujia Jin; Yibao Zhang; Qiushi Ren; Yanye Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MammothModa: Multi-Modal Large Language Model. - Qi She; Junwen Pan; Xin Wan; Rui Zhang; Dawei Lu; Kai Huang (CoRR, 2024)

MC-LLaVA: Multi-Concept Personalized Vision-Language Model. - Ruichuan An; Sihan Yang; Ming Lu 002; Kai Zeng; Yulin Luo; Ying Chen; Jiajun Cao; Hao Liang 017; Qi She; Shanghang Zhang; Wentao Zhang 001 (CoRR, 2024)

[CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster. - Qizhe Zhang; Aosong Cheng; Ming Lu 002; Zhiyong Zhuo; Minqi Wang; Jiajun Cao; Shaobo Guo; Qi She; Shanghang Zhang (CoRR, 2024)

ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance. - Yuming Li; Peidong Jia; Daiwei Hong; Yueru Jia; Qi She; Rui Zhao 010; Ming Lu 002; Shanghang Zhang (CoRR, 2024)

Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. - Fan Feng; Lu Hou 002; Qi She; Rosa H. M. Chan; James T. Kwok (IEEE Trans. Neural Networks Learn. Syst., 2024)

Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption. - Lei Zhu 012; Qi She; Qian Chen; Qiushi Ren; Yanye Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TimeSearch: Hierarchical Video Search with Spotlight and Reflection for Human-like Long Video Understanding. - Junwen Pan; Rui Zhang; Xin Wan; Yuan Zhang; Ming Lu; Qi She (CoRR, 2025)

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs. - Qizhe Zhang; Mengzhen Liu; Lichen Li; Ming Lu 002; Yuan Zhang 020; Junwen Pan; Qi She; Shanghang Zhang (CoRR, 2025)

AutoV: Learning to Retrieve Visual Prompt for Large Vision-Language Models. - Yuan Zhang 020; Chun-Kai Fan; Tao Huang 020; Ming Lu 002; Sicheng Yu; Junwen Pan; Kuan Cheng; Qi She; Shanghang Zhang (CoRR, 2025)

FastInit: Fast Noise Initialization for Temporally Consistent Video Generation. - Chengyu Bai; Yuming Li; Zhongyu Zhao; Jintao Chen; Peidong Jia; Qi She; Ming Lu 002; Shanghang Zhang (CoRR, 2025)

UniEdit-I: Training-free Image Editing for Unified VLM via Iterative Understanding, Editing and Verifying. - Chengyu Bai; Jintao Chen; Xiang Bai; Yilong Chen; Qi She; Ming Lu 002; Shanghang Zhang (CoRR, 2025)

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models. - Yuming Li; Yikai Wang 001; Yuying Zhu 012; Zhongyu Zhao; Ming Lu 002; Qi She; Shanghang Zhang (CoRR, 2025)

On the Faithfulness of Visual Thinking: Measurement and Enhancement. - Zujing Liu; Junwen Pan; Qi She; Yuan Gao 015; Guisong Xia (CoRR, 2025)