← Authors

Yixin Chen

60 papers · 2004–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (80) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (21) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (23) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (226) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (60) πŸ“ˆ Trend Setter

Conferences

NIPS (13) CVPR (11) ICCV (11) ICLR (8) ICML (5) ECCV (4) AAAI (3) ACL (1) AISTATS (1) IJCAI (1) JMLR (1) MICCAI (1)

Top co-authors

Siyuan Huang (23) Muhan Zhang (12) Yixin Zhu (10) Baoxiong Jia (9) Song-chun Zhu (9) Dacheng Tao (9) Tengyu Liu (7) Qing Li (7) Jiarui Feng (5) Lecheng Kong (5)

Keywords

graph neural network (8) diffusion model (5) submodular maximization (4) scene reconstruction (3) message passing (3) 3d scene understanding (3) 3d reconstruction (3) semantic segmentation (3) object detection (3) cardinality constraint (3) human-object interaction (3) human pose estimation (3) large language model (3) neural architecture search (2) contrastive learning (2) feature learning (2) knowledge distillation (2) context-aware learning (2) multimodal learning (2) transfer learning (2)

Papers

MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes CVPR 2025
GWM: Towards Scalable Gaussian World Models for Robotic Manipulation ICCV 2025
Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing ICCV 2025
ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching ICCV 2025
Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation ICML 2025
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling ICLR 2025
Learning system dynamics without forgetting ICLR 2025
Large Language Model Meets Graph Neural Network in Knowledge Distillation AAAI 2025
TACO: Taming Diffusion for in-the-wild Video Amodal Completion ICCV 2025
Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation ICCV 2025
Decompositional Neural Scene Reconstruction with Generative Diffusion Prior CVPR 2025
METASCENES: Towards Automated Replica Creation for Real-world 3D Scans CVPR 2025
InteractAnything: Zero-shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing CVPR 2025
Dynamic Motion Blending for Versatile Motion Editing CVPR 2025
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024
Scaling Up Dynamic Human-Scene Interaction Modeling CVPR 2024
SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields ECCV 2024
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding ECCV 2024
Unifying 3D Vision-Language Understanding via Promptable Queries ECCV 2024
CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability ICLR 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024
LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation MICCAI 2024
Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024
Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance CVPR 2024
PhyRecon: Physically Plausible Neural Scene Reconstruction NIPS 2024
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization NIPS 2024
One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024
CktGNN: Circuit Graph Neural Network for Electronic Design Automation ICLR 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NIPS 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network NIPS 2023
Retrieval-Augmented Multiple Instance Learning NIPS 2023
Learning Context-Aware Classifier for Semantic Segmentation AAAI 2023
DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization AAAI 2023
Detecting Human-Object Contact in Images CVPR 2023
3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment ICCV 2023
Full-Body Articulated Human-Object Interaction ICCV 2023
Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023
How Powerful are K-hop Message Passing Graph Neural Networks NIPS 2022
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs ICML 2022
HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes NIPS 2022
Geodesic Graph Neural Network for Efficient Graph Representation Learning NIPS 2022
YouRefIt: Embodied Reference Understanding With Language and Gesture ICCV 2021
Deep Structured Instance Graph for Distilling Object Detectors ICCV 2021
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel NIPS 2021
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning ICML 2020
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities ECCV 2020
Inductive Matrix Completion Based on Graph Neural Networks ICLR 2020
PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points NIPS 2019
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense ICCV 2019
Deep Learning for Seeing Through Window With Raindrops ICCV 2019
Deep Model Transferability from Attribution Maps NIPS 2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs NIPS 2019
Link Prediction Based on Graph Neural Networks NIPS 2018
Inferring Shared Attention in Social Scene Videos CVPR 2018
Filtered Search for Submodular Maximization with Controllable Approximation Bounds AISTATS 2015
Compressing Neural Networks with the Hashing Trick ICML 2015
Maximum Variance Correction with Application to A* Search ICML 2013
Image Categorization by Learning and Reasoning with Regions JMLR 2004