Zhe Li
62 papers · 2016–2026 · 15 conferences · across top CS/AI conferences
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CVPR (16)
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Keywords
large language model
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representation learning
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3d reconstruction
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3d gaussian splatting
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neural network
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adversarial attack
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knowledge distillation
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stochastic optimization
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model compression
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vision-language model
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zero-shot learning
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matrix completion
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diffusion model
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neural radiance field
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image classification
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convergence analysis
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weakly supervised learning
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pose estimation
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medical imaging
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semantic parsing
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Papers
Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction
AAAI 2026
Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
EACL 2026
Theory-optimal Quantization Based on Flatness
ACL 2026
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning
CVPR 2025
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs
EMNLP 2025
TrInk: Ink Generation with Transformer Network
EMNLP 2025
Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping
MICCAI 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
IJCAI 2025
HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
ICML 2025
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
ICLR 2025
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning
ICLR 2025
BodyGen: Advancing Towards Efficient Embodiment Co-Design
ICLR 2025
Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval
ICCV 2025
DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions
ICCV 2025
A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation
ICCV 2025
Do Influence Functions Work on Large Language Models?
EMNLP 2025
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis
MICCAI 2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
AAAI 2025
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression
CVPR 2025
AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction
CVPR 2025
Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification
INTERSPEECH 2024
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
ACL 2024
General Point Model Pretraining with Autoencoding and Autoregressive
CVPR 2024
Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians
CVPR 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
CVPR 2024
TexVocab: Texture Vocabulary-conditioned Human Avatars
CVPR 2024
Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling
CVPR 2024
MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos
ECCV 2024
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
EMNLP 2024
Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing
EMNLP 2024
Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining
ICML 2024
Efficiency Calibration of Implicit Regularization in Deep Networks via Self-paced Curriculum-Driven Singular Value Selection
IJCAI 2024
Joint Speaker Features Learning for Audio-visual Multichannel Speech Separation and Recognition
INTERSPEECH 2024
Image Distillation for Safe Data Sharing in Histopathology
MICCAI 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
NSDI 2024
A Bitwise GAC Algorithm for Alldifferent Constraints
IJCAI 2023
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
ICCV 2023
Resource-Efficient RGBD Aerial Tracking
CVPR 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting
IJCAI 2023
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
ACL 2022
Focal and Global Knowledge Distillation for Detectors
CVPR 2022
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture
ECCV 2022
Masked Generative Distillation
ECCV 2022
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline
ECCV 2022
POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture
CVPR 2021
Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter
CVPR 2021
Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras
ICCV 2021
Temporal Action Segmentation From Timestamp Supervision
CVPR 2021
Long Short-Term Sample Distillation
AAAI 2020
Robust 3D Self-Portraits in Seconds
CVPR 2020
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation
ICCV 2019
EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch
CVPR 2019
Reading selectively via Binary Input Gated Recurrent Unit
IJCAI 2019
A Robust Zero-Sum Game Framework for Pool-based Active Learning
AISTATS 2019
Learning from brains how to regularize machines
NIPS 2019
A Unified Analysis of Stochastic Momentum Methods for Deep Learning
IJCAI 2018
A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer
AISTATS 2018
Thoracic Disease Identification and Localization With Limited Supervision
CVPR 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization
NIPS 2018
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
ICML 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization
IJCAI 2017
Improved Dropout for Shallow and Deep Learning
NIPS 2016