Chen, Yixin

78 publications

ICCV 2025 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang, Xinghao Ding

ICML 2025 Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation Yixin Chen, Wenjing Chen, Alan Kuhnle

CVPR 2025 Decompositional Neural Scene Reconstruction with Generative Diffusion Prior Junfeng Ni, Yu Liu, Ruijie Lu, Zirui Zhou, Song-Chun Zhu, Yixin Chen, Siyuan Huang

CVPR 2025 Dynamic Motion Blending for Versatile Motion Editing Nan Jiang, Hongjie Li, Ziye Yuan, Zimo He, Yixin Chen, Tengyu Liu, Yixin Zhu, Siyuan Huang

ICLR 2025 GOFA: A Generative One-for-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

ICCV 2025 GWM: Towards Scalable Gaussian World Models for Robotic Manipulation Guanxing Lu, Baoxiong Jia, Puhao Li, Yixin Chen, Ziwei Wang, Yansong Tang, Siyuan Huang

TMLR 2025 Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges Zhouyang Liu, Ning Liu, Yixin Chen, Ziqing Wen, Jiezhong He, Dongsheng Li

CVPR 2025 InteractAnything: Zero-Shot Human Object Interaction Synthesis via LLM Feedback and Object Affordance Parsing Jinlu Zhang, Yixin Chen, Zan Wang, Jie Yang, Yizhou Wang, Siyuan Huang

AAAI 2025 Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Yanglan Gan, Bofeng Zhang, Yixin Chen

ICLR 2025 Learning System Dynamics Without Forgetting Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao

CVPR 2025 METASCENES: Towards Automated Replica Creation for Real-World 3D Scans Huangyue Yu, Baoxiong Jia, Yixin Chen, Yandan Yang, Puhao Li, Rongpeng Su, Jiaxin Li, Qing Li, Wei Liang, Song-Chun Zhu, Tengyu Liu, Siyuan Huang

CVPR 2025 MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes Ruijie Lu, Yixin Chen, Junfeng Ni, Baoxiong Jia, Yu Liu, Diwen Wan, Gang Zeng, Siyuan Huang

ICCV 2025 Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation Ziyu Zhu, Xilin Wang, Yixuan Li, Zhuofan Zhang, Xiaojian Ma, Yixin Chen, Baoxiong Jia, Wei Liang, Qian Yu, Zhidong Deng, Siyuan Huang, Qing Li

ICCV 2025 TACO: Taming Diffusion for In-the-Wild Video Amodal Completion Ruijie Lu, Yixin Chen, Yu Liu, Jiaxiang Tang, Junfeng Ni, Diwen Wan, Gang Zeng, Siyuan Huang

ICCV 2025 Trace3D: Consistent Segmentation Lifting via Gaussian Instance Tracing Hongyu Shen, Junfeng Ni, Yixin Chen, Weishuo Li, Mingtao Pei, Siyuan Huang

NeurIPS 2024 Discretely Beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization Yixin Chen, Ankur Nath, Chunli Peng, Alan Kuhnle

CVPRW 2024 DuST: Dual Swin Transformer for Multi-Modal Video and Time-Series Modeling Liang Shi, Yixin Chen, Meimei Liu, Feng Guo

CVPR 2024 Move as You Say Interact as You Can: Language-Guided Human Motion Generation with Scene Affordance Zan Wang, Yixin Chen, Baoxiong Jia, Puhao Li, Jinlu Zhang, Jingze Zhang, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang

ICLR 2024 One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

NeurIPS 2024 PhyRecon: Physically Plausible Neural Scene Reconstruction Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, Siyuan Huang

JAIR 2024 Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint Yixin Chen, Alan Kuhnle

ICLR 2024 Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong, Muhan Zhang, Philip Payne, Michael A Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen

ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao

JAIR 2024 Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models Yixin Chen, Tonmoy Dey, Alan Kuhnle

CVPR 2024 Scaling up Dynamic Human-Scene Interaction Modeling Nan Jiang, Zhiyuan Zhang, Hongjie Li, Xiaoxuan Ma, Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Siyuan Huang

ECCV 2024 SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding Baoxiong Jia, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, Siyuan Huang

CVPR 2024 Sheared Backpropagation for Fine-Tuning Foundation Models Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao

ECCV 2024 SlotLifter: Slot-Guided Feature Lifting for Learning Object-Centric Radiance Fields Yu Liu, Baoxiong Jia, Yixin Chen, Siyuan Huang

ECCV 2024 Unifying 3D Vision-Language Understanding via Promptable Queries Ziyu Zhu, Zhuofan Zhang, Xiaojian Ma, Xuesong Niu, Yixin Chen, Baoxiong Jia, Zhidong Deng, Siyuan Huang, Qing Li

ICCV 2023 3D-VisTA: Pre-Trained Transformer for 3D Vision and Text Alignment Ziyu Zhu, Xiaojian Ma, Yixin Chen, Zhidong Deng, Siyuan Huang, Qing Li

TMLR 2023 A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A Fritz, Daniel Felsky, Michael Avidan, Yixin Chen, Christopher Ryan King

ICLR 2023 CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang

AAAI 2023 DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization Tonmoy Dey, Yixin Chen, Alan Kuhnle

CVPR 2023 Detecting Human-Object Contact in Images Yixin Chen, Sai Kumar Dwivedi, Michael J. Black, Dimitrios Tzionas

NeurIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

ICCV 2023 Full-Body Articulated Human-Object Interaction Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan Zhang, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

AAAI 2023 Learning Context-Aware Classifier for Semantic Segmentation Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia

NeurIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

NeurIPS 2023 Retrieval-Augmented Multiple Instance Learning Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

NeurIPSW 2023 TabContrast: A Local-Global Level Method for Tabular Contrastive Learning Hao Liu, Yixin Chen, Bradley Fritz, Christopher King

NeurIPS 2022 Geodesic Graph Neural Network for Efficient Graph Representation Learning Lecheng Kong, Yixin Chen, Muhan Zhang

NeurIPS 2022 HUMANISE: Language-Conditioned Human Motion Generation in 3D Scenes Zan Wang, Yixin Chen, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang

NeurIPS 2022 How Powerful Are K-Hop Message Passing Graph Neural Networks Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang

ICML 2022 PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen

NeurIPS 2021 Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel Yixin Chen, Tonmoy Dey, Alan Kuhnle

ICCV 2021 Deep Structured Instance Graph for Distilling Object Detectors Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia

ICCV 2021 YouRefIt: Embodied Reference Understanding with Language and Gesture Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang

ICML 2020 Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu

ICLR 2020 Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang, Yixin Chen

ECCV 2020 LEMMA: A Multi-View Dataset for LEarning Multi-Agent Multi-Task Activities Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu

NeurIPS 2019 D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang, Shali Jiang, Zhicheng Cui, Roman Garnett, Yixin Chen

NeurIPS 2019 Deep Model Transferability from Attribution Maps Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song

NeurIPS 2019 PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu

AAAI 2018 An End-to-End Deep Learning Architecture for Graph Classification Muhan Zhang, Zhicheng Cui, Marion Neumann, Yixin Chen

AAAI 2018 Beyond Link Prediction: Predicting Hyperlinks in Adjacency Space Muhan Zhang, Zhicheng Cui, Shali Jiang, Yixin Chen

NeurIPS 2018 Link Prediction Based on Graph Neural Networks Muhan Zhang, Yixin Chen

AAAI 2015 A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing Quan Zhou, Wenlin Chen, Shiji Song, Jacob R. Gardner, Kilian Q. Weinberger, Yixin Chen

ICML 2015 Compressing Neural Networks with the Hashing Trick Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, Yixin Chen

AISTATS 2015 Filtered Search for Submodular Maximization with Controllable Approximation Bounds Wenlin Chen, Yixin Chen, Kilian Q. Weinberger

AAAI 2014 Feature-Cost Sensitive Learning with Submodular Trees of Classifiers Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen

AAAI 2013 Goal-Oriented Euclidean Heuristics with Manifold Learning Wenlin Chen, Yixin Chen, Kilian Q. Weinberger, Qiang Lu, Xiaoping Chen

ICML 2013 Maximum Variance Correction with Application to A* Search Wenlin Chen, Kilian Weinberger, Yixin Chen

JAIR 2012 SAS+ Planning as Satisfiability Ruoyun Huang, Yixin Chen, Weixiong Zhang

AAAI 2012 Towards Automated Choreographing of Web Services Using Planning Guobing Zou, Yixin Chen, You Xu, Ruoyun Huang, Yang Xiang

ICML 2011 Automatic Feature Decomposition for Single View Co-Training Minmin Chen, Kilian Q. Weinberger, Yixin Chen

AAAI 2010 A Novel Transition Based Encoding Scheme for Planning as Satisfiability Ruoyun Huang, Yixin Chen, Weixiong Zhang

IJCAI 2009 Completeness and Optimality Preserving Reduction for Planning Yixin Chen, Guohui Yao

IJCAI 2009 Stratified Planning Yixin Chen, You Xu, Guohui Yao

AAAI 2008 CRF-OPT: An Efficient High-Quality Conditional Random Field Solver Minmin Chen, Yixin Chen, Michael R. Brent

AAAI 2008 Fast Planning by Search in Domain Transition Graph Yixin Chen, Ruoyun Huang, Weixiong Zhang

IJCAI 2007 Constraint Partitioning for Solving Planning Problems with Trajectory Constraints and Goal Preferences Chih-Wei Hsu, Benjamin W. Wah, Ruoyun Huang, Yixin Chen

IJCAI 2007 Long-Distance Mutual Exclusion for Propositional Planning Yixin Chen, Zhao Xing, Weixiong Zhang

JAIR 2006 Temporal Planning Using Subgoal Partitioning and Resolution in SGPlan Yixin Chen, Benjamin W. Wah, Chih-Wei Hsu

CVPR 2005 A Sparse Support Vector Machine Approach to Region-Based Image Categorization Jinbo Bi, Yixin Chen, James Ze Wang

NeurIPS 2005 Size Regularized Cut for Data Clustering Yixin Chen, Ya Zhang, Xiang Ji

JMLR 2004 Image Categorization by Learning and Reasoning with Regions Yixin Chen, James Z. Wang