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Zhe Li

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

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (9)
🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (10) 🏆 Keyword Champion 👥 Mega-Team (32) 🏆 Grand Slam 🗃️ Keyword Collector (289) Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (59) 🔥 Unstoppable (10) 📈 Trend Setter The Questioner (2)

Conferences

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

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