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Zhiqiang Tao

34 papers · 2017–2026 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (60) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Grand Slam 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Prolific πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner (3) πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (6) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (153)

Papers

IF-Prune: Information-Flow Guided Token Pruning for Efficient Vision-Language Models CVPR 2026 Contrastive Multi-view Subspace Clustering via Tensor Transformers Autoencoder AAAI 2025 Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems COLING 2025 Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning EMNLP 2025 Efficient Multi-view Clustering via Reinforcement Contrastive Learning IJCAI 2025 Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts EMNLP 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue ICCV 2025 Visual Self-Refinement for Autoregressive Models EMNLP 2025 X-CoT: Explainable Text-to-Video Retrieval via LLM-based Chain-of-Thought Reasoning EMNLP 2025 Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging NeurIPS 2024 Diffusion-Inspired Truncated Sampler for Text-Video Retrieval NeurIPS 2024 Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers NAACL 2024 Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024 Federated Multi-View Clustering via Tensor Factorization IJCAI 2024 Partial Multi-View Clustering via Self-Supervised Network AAAI 2024 Prototypical Transformer As Unified Motion Learners ICML 2024 Self-Training Large Language and Vision Assistant for Medical Question Answering EMNLP 2024 SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant ECCV 2024 Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval CVPR 2024 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution ICCV 2023 Dual Lottery Ticket Hypothesis ICLR 2022 Modeling Mask Uncertainty in Hyperspectral Image Reconstruction ECCV 2022 Parameter-Efficient Masking Networks NeurIPS 2022 Correlative Channel-Aware Fusion for Multi-View Time Series Classification AAAI 2021 Automated Relational Meta-learning ICLR 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Multi-View Attribute Graph Convolution Networks for Clustering IJCAI 2020 Adversarial Graph Embedding for Ensemble Clustering IJCAI 2019 Deep Adversarial Multi-view Clustering Network IJCAI 2019 Generative Multi-View Human Action Recognition ICCV 2019 Deep Sequential Context Networks for Action Prediction CVPR 2017 From Ensemble Clustering to Multi-View Clustering IJCAI 2017 Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017