← Authors

Qibin Zhao

39 papers · 2011–2025 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (10) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (156) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) ⚑ Prolific Year (5) πŸ’Ž Century Club (39)

Conferences

ICML (8) AAAI (7) NIPS (6) CVPR (5) ACL (2) IJCAI (2) JMLR (2) ACML (1) AISTATS (1) ECCV (1) ICCV (1) ICLR (1) IJCNLP (1) MICCAI (1)

Top co-authors

CHAO LI (17) Guoxu Zhou (10) Andong Wang (8) Yuning Qiu (7) Toshihisa Tanaka (5) Zerui Tao (5) Zhun Sun (4) Zhong Jin (4) Jiajia Tang (4) Junhua Zeng (4)

Keywords

tensor decomposition (13) structure search (3) multimodal learning (3) tensor network (3) tensor ring (2) tensor ring decomposition (2) representation learning (2) tensor completion (2) diffusion model (2) variational inference (2) multimodal sentiment analysis (2) image inpainting (2) low-rank approximation (2) bayesian inference (2) singular value decomposition (2) low-rank tensor recovery (2) multimodal fusion (2) low-rank recovery (2) convex optimization (1) zero-shot learning (1)

Papers

Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance CVPR 2025
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search CVPR 2025
Scaling Capability in Token Space: An Analysis of Large Vision Language Model JMLR 2025
Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression ICML 2025
Tensor Decomposition Based Memory-Efficient Incremental Learning ICML 2025
Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks MICCAI 2025
Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NIPS 2024
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance ICML 2024
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework ICML 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) ICML 2024
Jacobian Regularizer-based Neural Granger Causality ICML 2024
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks NIPS 2023
Memorization Weights for Instance Reweighting in Adversarial Training AAAI 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations ICML 2023
Undirected Probabilistic Model for Tensor Decomposition NIPS 2023
Permutation Search of Tensor Network Structures via Local Sampling ICML 2022
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG NIPS 2022
Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective JMLR 2022
MMT: Multi-way Multi-modal Transformer for Multimodal Learning IJCAI 2022
Bayesian Latent Factor Model for Higher-order Data ACML 2021
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network IJCNLP 2021
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion AAAI 2021
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network ACL 2021
On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data ECCV 2020
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling AAAI 2020
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019
Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising CVPR 2019
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization ACL 2019
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling NIPS 2019
Generative Adversarial Positive-Unlabelled Learning IJCAI 2018
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011