Zhili Liu
15 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (6)
πΊοΈ
Taxonomy Completionist
(39)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π₯
Mega-Team
(30)
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(67)
π
Century Club
(15)
Conferences
CVPR (3)
ICLR (3)
AAAI (2)
ACL (2)
ECCV (2)
EMNLP (1)
ICCV (1)
WACV (1)
Top co-authors
Keywords
self-supervised learning
(2)
diffusion model
(2)
vision-language model
(2)
multimodal learning
(2)
model compression
(2)
transfer learning
(2)
visual perception
(1)
domain adaptation
(1)
contrastive learning
(1)
object tracking
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
speech synthesis
(1)
speech processing
(1)
model robustness
(1)
visual representation
(1)
image reconstruction
(1)
video generation
(1)
emotion recognition
(1)
object detection
(1)
Papers
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models
WACV 2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning
EMNLP 2025
Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment
ACL 2025
Image-level Memorization Detection via Inversion-based Inference Perturbation
ICLR 2025
"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation"
ECCV 2024
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
ACL 2024
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
CVPR 2024
Implicit Concept Removal of Diffusion Models
ECCV 2024
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning
ICCV 2023
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
ICLR 2023
Mixed Autoencoder for Self-Supervised Visual Representation Learning
CVPR 2023
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
AAAI 2022
EHSOD: CAM-Guided End-to-End Hybrid-Supervised Object Detection with Cascade Refinement
AAAI 2020