Zhe Liu

70 papers · 2014–2026 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (111) 🏆 Keyword Champion 🤝 Dynamic Duo (13) 🔬 Deep Specialist (15) 🏆 Grand Slam 🔥 Unstoppable (7) 🗃️ Keyword Collector (301) 💎 Century Club (69) ❓ The Questioner ⚡ Prolific Year (6) 🚀 Conference Pioneer

Conferences

AAAI (17) ICCV (10) CVPR (8) ECCV (8) MICCAI (5) NIPS (5) ACL (3) INTERSPEECH (3) COLING (2) EMNLP (2) NAACL (2) AISTATS (1) ICLR (1) ICML (1) IJCAI (1) OSDI (1)

Top co-authors

Hesheng Wang (13) Xiang Bai (9) Guangming Wang (7) Xiaoqing Ye (6) Xinwang Liu (6) Jiuming Liu (5) Yun-Hui Liu (5) Haoang Li (5) Lu Zhou (4) Qingming Li (4)

Research topics

Differential Privacy (1)

Keywords

3d object detection (7) point cloud (7) knowledge distillation (5) vision transformer (4) contrastive learning (4) 3d vision (4) spectral clustering (3) word error rate (3) domain adaptation (3) differential privacy (3) large language model (3) multi-view clustering (2) attention mechanism (2) multi-modal learning (2) model compression (2) scene understanding (2) point cloud registration (2) pose estimation (2) zero-shot learning (2) feature extraction (2)

Papers

Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios AAAI 2026

Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval ICCV 2025

Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation AAAI 2025

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path AAAI 2025

FLAME: Learning to Navigate with Multimodal LLM in Urban Environments AAAI 2025

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025

DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025

CLIMD: A Curriculum Learning Framework for Imbalanced Multimodal Diagnosis MICCAI 2025

MReg: A Novel Regression Model with MoE-based Video Feature Mining for Mitral Regurgitation Diagnosis MICCAI 2025

TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models ACL 2025

UniCT Depth: Event-Image Fusion Based Monocular Depth Estimation with Convolution-Compensated ViT Dual SA Block IJCAI 2025

Enhancing Learning with Label Differential Privacy by Vector Approximation ICLR 2025

LONG3R: Long Sequence Streaming 3D Reconstruction ICCV 2025

Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models CVPR 2025

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement CVPR 2025

MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices ICCV 2025

Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions EMNLP 2025

LKA: Large Kernel Adapter for Enhanced Medical Image Classification MICCAI 2025

Hierarchical Corpus-View-Category Refinement for Carotid Plaque Risk Grading in Ultrasound MICCAI 2025

Eliminating Language Bias for Medical Visual Question Answering with Counterfactual Contrastive Training MICCAI 2025

SEED: A Simple and Effective 3D DETR in Point Clouds ECCV 2024

OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection ECCV 2024

Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation ECCV 2024

EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding ECCV 2024

Evaluating Speech Recognition Performance Towards Large Language Model Based Voice Assistants INTERSPEECH 2024

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement CVPR 2024

DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation COLING 2024

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment ECCV 2024

LION: Linear Group RNN for 3D Object Detection in Point Clouds NIPS 2024

A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy NIPS 2024

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024

Attribute-Missing Graph Clustering Network AAAI 2024

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering AAAI 2024

RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection CVPR 2024

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning CVPR 2024

Boosting Image Restoration via Priors from Pre-trained Models CVPR 2024

TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry AAAI 2023

Query-based Temporal Fusion with Explicit Motion for 3D Object Detection NIPS 2023

StereoDistill: Pick the Cream from LiDAR for Distilling Stereo-Based 3D Object Detection AAAI 2023

Auto-Weighted Multi-View Clustering for Large-Scale Data AAAI 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering AAAI 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023

PersonaLM: Language Model Personalization via Domain-distributed Span Aggregated K-Nearest N-gram Retrieval Augmentation EMNLP 2023

A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection ICCV 2023

Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning ICCV 2023

RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration ICCV 2023

RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023

Consistency of Multiple Kernel Clustering ICML 2023

Modeling Dependent Structure for Utterances in ASR Evaluation INTERSPEECH 2023

Hilbert Distillation for Cross-Dimensionality Networks NIPS 2022

What Matters for 3D Scene Flow Network ECCV 2022

Learning To Identify Correct 2D-2D Line Correspondences on Sphere CVPR 2021

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization CVPR 2021

Task Aligned Generative Meta-learning for Zero-shot Learning AAAI 2021

Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation ICCV 2021

When and Why a Model Fails? A Human-in-the-loop Error Detection Framework for Sentiment Analysis NAACL 2021

Accountable Error Characterization NAACL 2021

Statistical Testing on ASR Performance via Blockwise Bootstrap INTERSPEECH 2020

EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection ECCV 2020

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention AAAI 2020

Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World ECCV 2020

Retiarii: A Deep Learning Exploratory-Training Framework OSDI 2020

Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction COLING 2020

3D Object Detection Using Scale Invariant and Feature Reweighting Networks AAAI 2019

DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering ACL 2019

Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World ICCV 2019

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis ICCV 2019

Learning Nonparametric Forest Graphical Models with Prior Information AISTATS 2017

Blossom Tree Graphical Models NIPS 2014