Xiaotong Zhang
24 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Conference Polyglot (9)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(9)
π€
Dynamic Duo
(22)
ποΈ
Keyword Collector
(117)
β‘
Prolific Year
(5)
π
Century Club
(24)
Conferences
AAAI (6)
IJCAI (5)
EMNLP (4)
ACL (2)
CVPR (2)
NAACL (2)
IJCNLP (1)
INTERSPEECH (1)
NIPS (1)
Top co-authors
Keywords
few-shot learning
(5)
text classification
(4)
zero-shot learning
(4)
dialogue system
(4)
contrastive learning
(4)
capsule network
(3)
black-box attack
(3)
intent classification
(3)
multi-label classification
(3)
semantic capsule
(2)
word substitution
(2)
adversarial attack
(2)
semantic similarity
(2)
zero-shot intent classification
(2)
prototype learning
(2)
query efficiency
(2)
intent detection
(2)
representation learning
(2)
unsupervised clustering
(1)
label propagation
(1)
Papers
Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection
NAACL 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
SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification
NAACL 2025
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection
EMNLP 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
AAAI 2024
A Goal Interaction Graph Planning Framework for Conversational Recommendation
AAAI 2024
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
NIPS 2023
Boosting Few-Shot Text Classification via Distribution Estimation
AAAI 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
AAAI 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
IJCAI 2023
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis
CVPR 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
EMNLP 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
Reconstructing Capsule Networks for Zero-shot Intent Classification
EMNLP 2019
Reconstructing Capsule Networks for Zero-shot Intent Classification
IJCNLP 2019
Label Efficient Semi-Supervised Learning via Graph Filtering
CVPR 2019
Multi-Task Clustering with Model Relation Learning
IJCAI 2018
Imbalance Learning-based Framework for Fear Recognition in the MediaEval Emotional Impact of Movies Task
INTERSPEECH 2018
Self-Adapted Multi-Task Clustering
IJCAI 2016
Multi-Task Multi-View Clustering for Non-Negative Data
IJCAI 2015