Zhiqi Shen
29 papers · 2018–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (76) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Grand Slam
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(9)
❓
The Questioner
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(170)
Top co-authors
Research topics
Machine Learning
(24)
Deep Learning
(17)
Artificial Intelligence
(14)
Core AI
(12)
Core Methods
(11)
Architectures
(9)
Learning Types · Machine Learning
(9)
Application Areas
(8)
Learning Types · Deep Learning
(8)
Natural Language Processing
(6)
Data Science & Analytics
(5)
Computer Vision
(4)
Applications
(4)
Models
(4)
Optimization & Theory
(4)
Keywords
graph neural network
(4)
few-shot learning
(3)
code generation
(2)
adversarial learning
(2)
representation learning
(2)
affective computing
(2)
deep neural network
(2)
multivariate time series
(2)
large language model
(2)
visual attention
(2)
time series forecasting
(2)
text classification
(1)
natural language processing
(1)
visual saliency
(1)
feature extraction
(1)
vision transformer
(1)
contrastive learning
(1)
ensemble learning
(1)
image fusion
(1)
anomaly detection
(1)
Papers
EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks
AAAI 2026
Learning to Learn Weight Generation via Local Consistency Diffusion
CVPR 2026
Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring
AAAI 2026
A Generalizable Anomaly Detection Method in Dynamic Graphs
AAAI 2025
GiFT: Gibbs Fine-Tuning for Code Generation
ACL 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
AAAI 2025
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
ICCV 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025
The POWER of Ikigai: Optimizing Life Fulfillment with an Integrated User Simulator and Adaptive Hobby Recommender
AAAI 2025
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
ICLR 2025
A Survey on Natural Language Counterfactual Generation
EMNLP 2024
ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing
AAAI 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
NeurIPS 2024
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation
AAAI 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise
IJCAI 2024
IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment
AAAI 2024
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
ACL 2024
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition
EMNLP 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
AAAI 2023
Next POI Recommendation with Dynamic Graph and Explicit Dependency
AAAI 2023
Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective
AAAI 2023
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection
CVPR 2021
A Gamified Assessment Platform for Predicting the Risk of Dementia +Parkinson’s disease (DPD) Co-Morbidity
IJCAI 2020
An AI-empowered Visual Storyline Generator
IJCAI 2020
Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract)
AAAI 2020
Computing Argumentative Explanations in Bipolar Argumentation Frameworks
AAAI 2019
Emotion-Aware Human Attention Prediction
CVPR 2019
Building Ethics into Artificial Intelligence
IJCAI 2018
Emotional Attention: A Study of Image Sentiment and Visual Attention
CVPR 2018