Selected Top-tier Publication

[Note] Selected peer-reviewed papers listed below. For the full and most up-to-date publication list, see Google Scholar: Qi She

★ Selected Highlights

2025

MammothModa2: A Unified AR-Diffusion Framework for Multimodal Understanding and Generation

T Shen, X Wan, T Chen, R Zhang, J Pan, D Lu, F Lei, Z Lu, Y Yang, ...

ICCV 2025

Beyond text-visual attention: Exploiting visual cues for effective token pruning in vlms

Q Zhang, A Cheng, M Lu, R Zhang, Z Zhuo, J Cao, S Guo, Qi She, ...

2024

Mammothmoda: Multi-modal large language model

Qi She, J Pan, X Wan, R Zhang, D Lu, K Huang

CSUR 2021

Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

Zhengwei Wang, Qi She , Tomas E Ward.

CVPR 2022

On Learning Contrastive Representations for Learning with Noisy Labels

Li Yi, Sheng Liu, Qi She, Lei Zhu, A. Ian McLeod, Boyu Wang

CVPR 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition

Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li

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.

CVPR 2021

Involution: Inverting the Inherence of Convolution for Visual Recognition

Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen.

CVPR 2021

ACTION-Net: Multipath Excitation for Action Recognition

Zhengwei Wang, Qi She, Aljosa Smolic.

ICRA 2020

OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning

Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, 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, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She

Year:

Topic:

Journal 7

• 
  Background-aware Classification Activation Map for Weakly Supervised Object Localization TPAMI

  Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu

  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

  Localization

  PDF BibTex Code

• 📄
  Generative Adversarial Networks in Time Series: A Systematic Literature Review CSUR

  Eoin Brophy, Zhengwei Wang, Qi She , Tomas E Ward.

  ACM Computing Surveys (CSUR), 2023.

  PDF BibTex arXiv

• 📄
  Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment TNNLS

  Fan Feng, Lu Hou, Qi She , Rosa H. M. Chan, James T Kwok

  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

  BibTex

• 
  Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy CSUR

  Zhengwei Wang, Qi She , Tomas E Ward.

  ACM Computing Surveys (CSUR), 2021.

  PDF BibTex Code arXiv

• 
  An Efficient and Flexible Spike Train Model via Empirical Bayes TSP

  Qi She , Xiaoli Wu, Beth Jelfs, Adam S. Charles, Rosa H. M. Chan.

  IEEE Transactions on Signal Processing (TSP), 2021.

  PDF BibTex Code arXiv

• 
  Synthetic-Neuroscore: Using a Neuro-AI Interface for Evaluating Generative Adversarial Networks

  Zhengwei Wang, Qi She , Alan F Smeaton, Tomas E Ward, Graham Healy.

  Neurocomputing, 2020.

  PDF BibTex Code arXiv

• 
  Evaluating the Small-World-Ness of a Sampled Network: Functional Connectivity of Entorhinal-Hippocampal Circuitry

  Qi She , Guanrong Chen, Rosa H. M. Chan.

  Nature Scientific Reports, 2016.

  PDF BibTex Nature Scientific Reports

Conference 23

• 🎓
  Video-KTR: Reinforcing Video Reasoning via Key Token Attribution ICLR

  Z Wang, S Jin, Z Zuo, J Wu, H Qiu, Qi She, H Zhang, X Jiang

  International Conference on Learning Representations (ICLR), 2026.

  VideoReasoning
• 
  ThinkGen: Generalized Thinking for Visual Generation CVPR

  S Jiao, Y Lin, Y Zhong, Qi She, W Zhou, X Lan, Z Huang, F Yu, Y Yu, ...

  Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

  GenerationMLLM
• 🎓
  CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning CVPR

  Q Song, H Li, Y Yu, H Zhou, L Yang, S Bai, Qi She, Z Huang, Y Zhao

  Conference on Computer Vision and Pattern Recognition (CVPR), 2026.

  MLLMReasoning
• 
  UniEdit-I: Training-free Image Editing for Unified VLM via Iterative Understanding, Editing and Verifying CVPR

  C Bai, J Chen, X Bai, Y Chen, Qi She, M Lu, S Zhang

  Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
• 
  TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning ICLR

  J Pan, Q Zhang, R Zhang, M Lu, X Wan, Y Zhang, C Liu, Qi She

  International Conference on Learning Representations (ICLR), 2026.

  VideoAgent
• 
  Branchgrpo: Stable and efficient grpo with structured branching in diffusion models ICLR

  Y Li, Y Wang, Y Zhu, Z Zhao, M Lu, Qi She, S Zhang

  International Conference on Learning Representations (ICLR), 2026.
• 🎓
  Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs NeurIPS

  Q Zhang, M Liu, L Li, M Lu, Y Zhang, J Pan, Qi She, S Zhang

  Neural Information Processing Systems (NeurIPS), 2025.

  MLLMEfficiency
• 
  Beyond text-visual attention: Exploiting visual cues for effective token pruning in vlms ICCV

  Q Zhang, A Cheng, M Lu, R Zhang, Z Zhuo, J Cao, S Guo, Qi She, ...

  International Conference on Computer Vision (ICCV), 2025.

  VLMEfficiency
• 
  PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs ICML

  Zhenyang Shen, Tao Hong, Qi She, Jinwei Ma, Zhouchen Lin

  International Conference on Machine Learning (ICML), 2022.

  PDF BibTex arXiv

• 
  Weakly Supervised Object Localization as Domain Adaption CVPR

  Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu

  Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  PDF BibTex Code

• 
  On Learning Contrastive Representations for Learning with Noisy Labels CVPR

  Li Yi, Sheng Liu, Qi She, Lei Zhu, A. Ian McLeod, Boyu Wang

  Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  PDF BibTex arXiv

• 
  Learning from Temporal Gradient for Semi-supervised Action Recognition CVPR

  Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li

  Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  PDF BibTex

• 
  Unifying Nonlocal Blocks for Neural Networks ICCV

  Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang

  International Conference on Computer Vision (ICCV), 2021.

  PDF BibTex Code arXiv

• 
  MT-ORL: Multi-Task Occlusion Relationship Learning ICCV

  Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin ZHANG, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming.

  International Conference on Computer Vision (ICCV), 2021.

  PDF BibTex Code arXiv

• 
  MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis ICCV

  Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee.

  International Conference on Computer Vision (ICCV), 2021.

  PDF BibTex Code arXiv Papers With Code

• 
  Involution: Inverting the Inherence of Convolution for Visual Recognition CVPR

  Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen.

  Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  ArchitectureCNN

  PDF BibTex Code arXiv Papers With Code

• 
  ACTION-Net: Multipath Excitation for Action Recognition CVPR

  Zhengwei Wang, Qi She, Aljosa Smolic.

  Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  PDF BibTex Code arXiv

• 
  Learning the Superpixel in a Non-iterative and Lifelong Manner CVPR

  Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu.

  Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  PDF BibTex Code

• 
  OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning ICRA

  Qi She, Fan Feng, Xinyue Hao, Qihan Yang, Chuanlin Lan, Vincenzo Lomonaco, Xuesong Shi, Zhengwei Wang, Yao Guo, Yimin Zhang, Fei Qiao, Rosa H. M. Chan.

  The International Conference on Robotics and Automation (ICRA), 2020.

  PDF BibTex Project page Code arXiv

• 
  Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM ICRA

  Xuesong Shi, Dongjiang Li, Pengpeng Zhao, Qinbin Tian, Yuxin Tian, Qiwei Long, Chunhao Zhu, Jingwei Song, Fei Qiao, Le Song, Yangquan Guo, Zhigang Wang, Yimin Zhang, Baoxing Qin, Wei Yang, Fangshi Wang, Rosa H. M. Chan, Qi She

  The International Conference on Robotics and Automation (ICRA), 2020.

  PDF BibTex Project page arXiv

• 🎓
  Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks UAI

  Qi She , Anqi Wu.

  Uncertainty in Artificial Intelligence (UAI), 2019.

  Oral PDF BibTex Code Supp. Materials arXiv

• 🎓
  Reduced-Rank Linear Dynamical Systems AAAI

  Qi She , Yuan Gao, Kai Xu, and Rosa H.M. Chan.

  AAAI Conference on Artificial Intelligence (AAAI), 2018.

  PDF BibTex

• 
  Stochastic Dynamical Systems Based Latent Structure Discovery in High-dimensional Time Series ICASSP

  Qi She , Rosa H.M. Chan.

  The international Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2018.

  BibTex

Workshop 3

• 
  Avalanche: an End-to-End Library for Continual Learning

  CVPR 2021, Workshop on Continual Learning in Computer Vision..

  PDF BibTex Code

• 
  CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition

  Zhengwei Wang, Qi She , Tejo Chalasani, Aljosa Smolic.

  CVPR 2020, Workshop on Continual Learning in Computer Vision..

  PDF BibTex

• 🔧
  A Neuro-AI Interface for Evaluating Generative Adversarial Networks

  Zhengwei Wang, Qi She , Alan F. Smeaton, Tomas E. Ward, Graham Healy.

  ICLR 2020, Workshop on Bridging AI and Cognitive Science..

  PDF BibTex

Preprint 9

• 
  MammothModa2: A Unified AR-Diffusion Framework for Multimodal Understanding and Generation

  T Shen, X Wan, T Chen, R Zhang, J Pan, D Lu, F Lei, Z Lu, Y Yang, ...

  arXiv preprint arXiv:2511.18262, 2025.

  arXiv

• 
  ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better

  Y Zhang, M Lu, J Pan, T Huang, K Cheng, Qi She, S Zhang

  arXiv preprint arXiv:2511.17106, 2025.

  arXiv

• 📝
  On the Faithfulness of Visual Thinking: Measurement and Enhancement

  Z Liu, J Pan, Qi She, Y Gao, G Xia

  arXiv preprint arXiv:2510.23482, 2025.

  arXiv

• 📝
  Loss-Oriented Ranking for Automated Visual Prompting in LVLMs

  Y Zhang, CK Fan, T Huang, M Lu, S Yu, J Pan, K Cheng, Qi She, S Zhang

  arXiv preprint arXiv:2506.16112, 2025.

  arXiv

• 
  FastInit: Fast Noise Initialization for Temporally Consistent Video Generation

  C Bai, Y Li, Z Zhao, J Chen, P Jia, Qi She, M Lu, S Zhang

  arXiv preprint arXiv:2506.16119, 2025.

  arXiv

• 
  TimeSearch: Hierarchical video search with spotlight and reflection for human-like long video understanding

  J Pan, R Zhang, X Wan, Y Zhang, M Lu, Qi She

  arXiv preprint arXiv:2504.01407, 2025.

  arXiv

• 
  ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance

  Y Li, P Jia, D Hong, Y Jia, Qi She, R Zhao, M Lu, S Zhang

  arXiv preprint arXiv:2412.06163, 2024.

  arXiv

• 
  MC-LLaVA: Multi-concept personalized vision-language model

  R An, S Yang, M Lu, R Zhang, K Zeng, Y Luo, J Cao, H Liang, Y Chen, ...

  arXiv preprint arXiv:2411.11706, 2024.

  arXiv

• 
  Mammothmoda: Multi-modal large language model

  Qi She, J Pan, X Wan, R Zhang, D Lu, K Huang

  arXiv preprint arXiv:2406.18193, 2024.

  arXiv

Patent 2

• 📋
  Object identification based on adaptive learning

  SG Manepalli, SW Chin, P Guo, Qi She, Y Shen, L ZHANG, Y Zhang

  US Patent 12,511,887, 2025.
• 📋
  Trajectory prediction using directed graph and destination features

  L ZHANG, Qi She, P Guo

  US Patent 12,198,460, 2025.