Xin Chen

89 papers · 2016–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (11) 🧬 Topic Evolution 👥 Mega-Team (25) 🤝 Dynamic Duo (15) 🔬 Deep Specialist (16) 🏆 Keyword Champion 🏆 Grand Slam 📈 Trend Setter 🗃️ Keyword Collector (387) 🔥 Unstoppable (10) ❓ The Questioner ⚡ Prolific Year (10) 💎 Century Club (86)

Conferences

CVPR (19) AAAI (14) NIPS (11) ICCV (10) ECCV (7) IJCAI (6) ICML (6) ICLR (3) EMNLP (3) MICCAI (2) ACL (2) COLING (1) AISTATS (1) IJCNLP (1) INTERSPEECH (1) UAI (1) WACV (1)

Top co-authors

Gang Yu (15) Tao Chen (11) Dong Wang (8) Wen Liu (7) Huchuan Lu (7) Qi Tian (6) Jingyi Yu (6) Lingxi Xie (6) Fukun Yin (6) Sijin Chen (5)

Keywords

diffusion model (8) 3d reconstruction (5) neural architecture search (5) large language model (4) medical imaging (4) object tracking (4) point cloud (4) semantic segmentation (3) conditional generation (3) model compression (3) implicit neural representation (3) multi-modal learning (3) transfer learning (3) knowledge distillation (3) 3d vision (3) novel view synthesis (3) transformer architecture (2) stochastic optimization (2) visual object tracking (2) sample complexity (2)

Papers

G-IR: Geometric Image Representation for Learning AAAI 2026

PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis AAAI 2026

Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026

From Generalist to Specialist: A Survey of Large Language Models for Chemistry COLING 2025

Efficient Motion Prompt Learning for Robust Visual Tracking ICML 2025

Disentangled Graph Spectral Domain Adaptation ICML 2025

La RoSA: Enhancing LLM Efficiency via Layerwise Rotated Sparse Activation ICML 2025

Learning Safety Constraints for Large Language Models ICML 2025

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation MICCAI 2025

MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D CVPR 2025

MikuDance: Animating Character Art with Mixed Motion Dynamics ICCV 2025

X-Dancer: Expressive Music to Human Dance Video Generation ICCV 2025

ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection ICCV 2025

Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025

SUTrack: Towards Simple and Unified Single Object Tracking AAAI 2025

Exploring Enhanced Contextual Information for Video-Level Object Tracking AAAI 2025

ERL-MPP: Evolutionary Reinforcement Learning with Multi-head Puzzle Perception for Solving Large-scale Jigsaw Puzzles of Eroded Gaps AAAI 2025

Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking AAAI 2025

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025

CohEx: A Generalized Framework for Cohort Explanation AAAI 2025

Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation CVPR 2025

Sparsely Annotated Medical Image Segmentation via Cross-SAM of 3D and 2D Networks MICCAI 2025

OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers CVPR 2024

M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions ECCV 2024

MotionChain: Conversational Motion Controllers via Multimodal Prompts ECCV 2024

To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now ECCV 2024

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models NIPS 2024

Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures NIPS 2024

Gradient descent in matrix factorization: Understanding large initialization UAI 2024

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation AAAI 2024

Plug-In Diffusion Model for Sequential Recommendation AAAI 2024

REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024

LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024

Learning to Maximize Mutual Information for Chain-of-Thought Distillation ACL 2024

Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024

TapMo: Shape-aware Motion Generation of Skeleton-free Characters ICLR 2024

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models ICLR 2024

Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024

3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection NIPS 2024

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning CVPR 2024

Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models CVPR 2024

Executing Your Commands via Motion Diffusion in Latent Space CVPR 2023

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation NIPS 2023

MotionGPT: Human Motion as a Foreign Language NIPS 2023

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation NIPS 2023

SeqTrack: Sequence to Sequence Learning for Visual Object Tracking CVPR 2023

End-to-End 3D Dense Captioning With Vote2Cap-DETR CVPR 2023

Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023

Visual Prompt Multi-Modal Tracking CVPR 2023

Text-Visual Prompting for Efficient 2D Temporal Video Grounding CVPR 2023

Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking ICCV 2023

A Large-Scale Outdoor Multi-Modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction ICCV 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023

Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval ICCV 2023

Sketched Ridgeless Linear Regression: The Role of Downsampling ICML 2023

ETR: An Efficient Transformer for Re-Ranking in Visual Place Recognition WACV 2023

Cornerformer: Purifying Instances for Corner-Based Detectors ECCV 2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search CVPR 2022

AstBERT: Enabling Language Model for Financial Code Understanding with Abstract Syntax Trees EMNLP 2022

Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022

Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting AAAI 2022

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022

Contrastive Deep Supervision ECCV 2022

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation CVPR 2022

Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning IJCNLP 2021

On the Bias-Variance-Cost Tradeoff of Stochastic Optimization NIPS 2021

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021

Transformer Tracking CVPR 2021

ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References CVPR 2021

TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search CVPR 2021

Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021

Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection ICCV 2021

Few-shot Neural Human Performance Rendering from Sparse RGBD Videos IJCAI 2021

Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning ACL 2021

Graph Stochastic Neural Networks for Semi-supervised Learning NIPS 2020

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search ICLR 2020

Intelligent Virtual Machine Provisioning in Cloud Computing IJCAI 2020

Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NIPS 2020

Circumventing Outliers of AutoAugment with Knowledge Distillation ECCV 2020

CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search ECCV 2020

Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise ICCV 2019

Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NIPS 2019

Robustness Verification of Classification Deep Neural Networks via Linear Programming CVPR 2019

Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019

Sparse Photometric 3D Face Reconstruction Guided by Morphable Models CVPR 2018

Filter Sampling and Combination CNN (FSC-CNN): A Compact CNN Model for Small-footprint ASR Acoustic Modeling Using Raw Waveforms INTERSPEECH 2018

Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control IJCAI 2017

Hierarchical Model Predictive Control for Multi-Robot Navigation IJCAI 2016