Zhiqiang Tao
33 papers · 2017–2025 · 11 conferences · across top CS/AI conferences
Achievements
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Conferences
IJCAI (8)
EMNLP (5)
NIPS (5)
AAAI (3)
ICCV (3)
CVPR (2)
ECCV (2)
ICLR (2)
COLING (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
multi-view clustering
(7)
large language model
(3)
federated learning
(3)
vision-language model
(3)
contrastive learning
(2)
text-video retrieval
(2)
fairness evaluation
(2)
bias mitigation
(2)
feature representation
(2)
spectral clustering
(2)
chain-of-thought reasoning
(2)
embedding space
(2)
model compression
(2)
k-means clustering
(2)
video understanding
(2)
ensemble clustering
(2)
subspace clustering
(2)
adversarial training
(2)
consensus partition
(2)
graph clustering
(1)
Papers
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems
COLING 2025
Visual Self-Refinement for Autoregressive Models
EMNLP 2025
Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue
ICCV 2025
Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
EMNLP 2025
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
EMNLP 2025
Efficient Multi-view Clustering via Reinforcement Contrastive Learning
IJCAI 2025
X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning
EMNLP 2025
Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder
AAAI 2025
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers
NAACL 2024
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval
NIPS 2024
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
NIPS 2024
Partial Multi-View Clustering via Self-Supervised Network
AAAI 2024
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval
CVPR 2024
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant
ECCV 2024
Self-Training Large Language and Vision Assistant for Medical Question Answering
EMNLP 2024
Prototypical Transformer As Unified Motion Learners
ICML 2024
Federated Multi-View Clustering via Tensor Factorization
IJCAI 2024
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means
IJCAI 2024
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
NIPS 2023
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
ICCV 2023
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction
ECCV 2022
Dual Lottery Ticket Hypothesis
ICLR 2022
Parameter-Efficient Masking Networks
NIPS 2022
Correlative Channel-Aware Fusion for Multi-View Time Series Classification
AAAI 2021
Learning to Mutate with Hypergradient Guided Population
NIPS 2020
Automated Relational Meta-learning
ICLR 2020
Multi-View Attribute Graph Convolution Networks for Clustering
IJCAI 2020
Generative Multi-View Human Action Recognition
ICCV 2019
Deep Adversarial Multi-view Clustering Network
IJCAI 2019
Adversarial Graph Embedding for Ensemble Clustering
IJCAI 2019
From Ensemble Clustering to Multi-View Clustering
IJCAI 2017
Deep Sequential Context Networks for Action Prediction
CVPR 2017
Large-scale Subspace Clustering by Fast Regression Coding
IJCAI 2017