Zhi Liu
22 papers · 2016–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (57)
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Conference Polyglot
(9)
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Conference Pioneer
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Century Club
(19)
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Prolific Year
(6)
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(7)
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Keyword Collector
(104)
Conferences
AAAI (8)
MICCAI (3)
CVPR (2)
ECCV (2)
EMNLP (2)
ACL (1)
CORL (1)
ICCV (1)
NSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
semantic segmentation
(2)
recommender system
(2)
top-k metrics
(2)
evaluation metric
(2)
zero-shot learning
(2)
contrastive learning
(2)
large language model
(2)
few-shot learning
(2)
text classification
(1)
statistical analysis
(1)
representation learning
(1)
bayesian inference
(1)
cross-modal learning
(1)
knowledge distillation
(1)
probabilistic modeling
(1)
depth estimation
(1)
point cloud
(1)
semi-supervised learning
(1)
expectation maximization
(1)
stance detection
(1)
Papers
SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition
AAAI 2026
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment
ACL 2026
SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection
AAAI 2026
LLM-Driven Implicit Target Augmentation and Fine-Grained Contextual Modeling for Zero-Shot and Few-Shot Stance Detection
EMNLP 2025
C2PD: Continuity-Constrained Pixelwise Deformation for Guided Depth Super-Resolution
AAAI 2025
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
AAAI 2025
MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image
CVPR 2025
KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models
EMNLP 2025
Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
MICCAI 2025
CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment
MICCAI 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
ECCV 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling
AAAI 2024
Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis
MICCAI 2024
Towards Reliable Item Sampling for Recommendation Evaluation
AAAI 2023
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
WACV 2023
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
CORL 2022
On Estimating Recommendation Evaluation Metrics under Sampling
AAAI 2021
Cross-Modal Weighting Network for RGB-D Salient Object Detection
ECCV 2020
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
AAAI 2019
Cross-Modal Self-Attention Network for Referring Image Segmentation
CVPR 2019
Semi-Global Weighted Least Squares in Image Filtering
ICCV 2017
Embark: Securely Outsourcing Middleboxes to the Cloud
NSDI 2016