Xianchao Zhang
20 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Artificial Intelligence
(13)
Core AI
(11)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Natural Language Processing
(6)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Applications
(5)
Application Areas
(3)
Models
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Architectures
(2)
Generation
(2)
Keywords
text classification
(4)
contrastive learning
(3)
multimodal learning
(3)
black-box attack
(3)
few-shot learning
(3)
semantic similarity
(3)
short video
(2)
temporal knowledge graph
(2)
word substitution
(2)
fake news detection
(2)
adversarial attack
(2)
query efficiency
(2)
diffusion model
(2)
graph neural network
(2)
knowledge distillation
(1)
knowledge transfer
(1)
logical reasoning
(1)
symbolic reasoning
(1)
sample efficiency
(1)
representation learning
(1)
Papers
Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition
AAAI 2026
Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning
UAI 2025
Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs
COLING 2025
Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection
AAAI 2025
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
RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion
COLING 2024
Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection
ACL 2024
Video-Context Aligned Transformer for Video Question Answering
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
An Adaptive Hierarchical Compositional Model for Phrase Embedding
IJCAI 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