Xiaotong Zhang

23 papers · 2015–2025 · 8 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.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (49)

🧭 Keyword Pioneer 🤝 Dynamic Duo (21) 🗃️ Keyword Collector (114) 💎 Century Club · Bronze ⚡ Prolific Year · Productive

Venues

AAAI (6) IJCAI (5) EMNLP (4) ACL (2) CVPR (2) NAACL (2) Interspeech (1) NeurIPS (1)

Top co-authors

Han Liu (21) Xianchao Zhang (12) Feng Zhang (10) Hong Yu (10) Fenglong Ma (8) Hongyang Chen (7) Xiao-ming Wu (5) Wei Wang (5) Qimai LI (5) Siyang Zhao (3)

Research topics

Machine Learning (19) Learning Types · Machine Learning (16) Artificial Intelligence (12) Natural Language Processing (10) Deep Learning (9) Applications (8) Core AI (8) Core Methods (8) Learning Types · Deep Learning (8) Learning Paradigms (5) Application Areas (4) Generation (3) Optimization & Theory (3) Computer Vision (1) Architectures (1)

Keywords

few-shot learning (5) text classification (4) contrastive learning (4) black-box attack (3) dialogue system (3) multi-label classification (3) zero-shot learning (3) zero-shot intent classification (2) word substitution (2) pseudo sample generation (2) adversarial attack (2) semantic similarity (2) query efficiency (2) capsule network (2) intent classification (2) intent detection (2) prototype learning (2) representation learning (2) parameter-efficient fine-tuning (2) unsupervised clustering (1)

Papers

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection ACL 2025 Improving Clustering with Positive Pairs Generated from LLM-Driven Labels EMNLP 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning AAAI 2025 Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection NAACL 2025 SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification NAACL 2025 A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection EMNLP 2024 A Goal Interaction Graph Planning Framework for Conversational Recommendation AAAI 2024 Depression Detection via Capsule Networks with Contrastive Learning AAAI 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NeurIPS 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023 An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021 Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis CVPR 2021 Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification ACL 2020 Attributed Graph Clustering via Adaptive Graph Convolution IJCAI 2019 Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019 Reconstructing Capsule Networks for Zero-shot Intent Classification EMNLP 2019 Imbalance Learning-based Framework for Fear Recognition in the MediaEval Emotional Impact of Movies Task Interspeech 2018 Multi-Task Clustering with Model Relation Learning IJCAI 2018 Self-Adapted Multi-Task Clustering IJCAI 2016 Multi-Task Multi-View Clustering for Non-Negative Data IJCAI 2015