← Authors

Zhe Li

61 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (14) πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (112) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (10) πŸ† Keyword Champion πŸ‘₯ Mega-Team (32) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (289) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (59) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

CVPR (16) IJCAI (7) ICCV (6) EMNLP (5) ECCV (4) AAAI (3) ICLR (3) ICML (3) MICCAI (3) NIPS (3) ACL (2) AISTATS (2) INTERSPEECH (2) EACL (1) NSDI (1)

Top co-authors

Yebin Liu (8) Tianbao Yang (7) Zerong Zheng (6) Wei Zhao (4) Jun Sun (4) Yige Li (4) Zhendong Yang (3) Chun Yuan (3) Feng Zheng (3) Tao Yu (3)

Keywords

large language model (5) representation learning (4) 3d reconstruction (4) 3d gaussian splatting (3) stochastic optimization (3) adversarial attack (3) model compression (3) knowledge distillation (3) neural network (3) vision-language model (2) matrix completion (2) zero-shot learning (2) diffusion model (2) neural radiance field (2) semantic parsing (2) convergence analysis (2) medical imaging (2) weakly supervised learning (2) image classification (2) pose estimation (2)

Papers

Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026
Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction AAAI 2026
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
DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning CVPR 2025
TrInk: Ink Generation with Transformer Network EMNLP 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
Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs EMNLP 2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models AAAI 2025
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis MICCAI 2025
Boosting Generalizability in NPC ART Prediction via Multi-Omics Feature Mapping MICCAI 2025
Joint Speaker Features Learning for Audio-visual Multichannel Speech Separation and Recognition 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
Parameter-efficient Fine-tuning of Speaker-Aware Dynamic Prompts for Speaker Verification 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
Resource-Efficient RGBD Aerial Tracking CVPR 2023
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels ICCV 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting IJCAI 2023
A Bitwise GAC Algorithm for Alldifferent Constraints IJCAI 2023
Masked Generative Distillation ECCV 2022
Focal and Global Knowledge Distillation for Detectors CVPR 2022
RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction ACL 2022
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline ECCV 2022
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture ECCV 2022
Temporal Action Segmentation From Timestamp Supervision CVPR 2021
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
Robust 3D Self-Portraits in Seconds CVPR 2020
Long Short-Term Sample Distillation AAAI 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
A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019
Reading selectively via Binary Input Gated Recurrent Unit IJCAI 2019
Learning from brains how to regularize machines NIPS 2019
Thoracic Disease Identification and Localization With Limited Supervision CVPR 2018
Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NIPS 2018
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
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank ICML 2017
Improved Dropout for Shallow and Deep Learning NIPS 2016