Jian Tang
- Visualizing Large-scale and High-dimensional Data
2016/02/01 by Jian Tang, Jingzhou Liu, Ming Zhang +1 · 1 voice · 9 citations
Computer Science · #Data Visualization and Analytics #Data Management and Algorithms #Video Surveillance and Tracking Methods
- GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
2022/03/06 by Minkai Xu, Lantao Yu, Xu, Minkai +9 · 1 voice · 49 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Protein Structure and Dynamics #cs.LG #q-bio.QM
- RotatE: Knowledge Graph Embedding by Relational Rotation in Complex\n Space
2019/02/26 by Zhiqing Sun, Zhihong Deng, Sun, Zhiqing +5 · 126 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Topic Modeling #Data Quality and Management
- Scientific discovery in the age of artificial intelligence
2023/08/02 by Hanchen Wang, Tianfan Fu, Yuanqi Du +32 · 103 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Materials Science
- TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation
2024/09/19 by Junjie Wen, Wen, Junjie, Yichen Zhu +21 · 106 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO)
- Neutrino physics with JUNO
2016/02/11 by Fengpeng An, Guangpeng An, Qi An +265 · 31 citations
Physics and Astronomy · #Dark Matter and Cosmic Phenomena #Neutrino Physics Research #Particle physics theoretical and experimental studies
- KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
2019/11/13 by Xiaozhi Wang, Tianyu Gao, Wang, Xiaozhi +11 · 36 citations
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
2021/06/13 by Zhaocheng Zhu, Zuobai Zhang, Zhu, Zhaocheng +5 · 27 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
2019/07/31 by Fan-Yun Sun, Sun, Fan-Yun, Jordan Hoffmann +5 · 22 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Pre-training Molecular Graph Representation with 3D Geometry
2021/10/07 by Shengchao Liu, Hanchen Wang, Liu, Shengchao +9 · 27 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM) #electronic engineering #information engineering
- Learning on Large-scale Text-attributed Graphs via Variational Inference
2022/10/26 by Jianan Zhao, Meng Qu, Zhao, Jianan +13 · 23 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
2024/12/18 by Kun Wu, Wu, Kun, Chengkai Hou +67 · 49 citations
Computer Science · #Semantic Web and Ontologies
- A Survey on Robotics with Foundation Models: toward Embodied AI
2024/02/04 by Zhiyuan Xu, Xu, Zhiyuan, Kun Wu +11 · 24 citations
Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Robotics (cs.RO)
- GMNN: Graph Markov Neural Networks
2019/05/15 by Meng Qu, Yoshua Bengio, Qu, Meng +3 · 22 citations
Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
2020/10/08 by Meng Qu, Qu, Meng, Junkun Chen +7 · 11 citations
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Topic Modeling
- Learning Gradient Fields for Molecular Conformation Generation
2021/05/09 by Chence Shi, Shitong Luo, Shi, Chence +5 · 11 citations
Materials Science · Biochemistry, Genetics and Molecular Biology · Chemistry · #Machine Learning in Materials Science #Protein Structure and Dynamics #Mass Spectrometry Techniques and Applications
- LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
2024/01/04 by Yichen Zhu, Minjie Zhu, Zhu, Yichen +9 · 17 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Speech and dialogue systems #Topic Modeling
- Towards Foundation Models for Knowledge Graph Reasoning
2023/10/06 by Mikhail Galkin, Galkin, Mikhail, Xinyu Yuan +7 · 1 voice · 13 citations
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling #cs.AI #cs.CL
- Continuous Graph Neural Networks
2019/12/02 by Louis-Pascal Xhonneux, Meng Qu, Xhonneux, Louis-Pascal A. C. +3 · 9 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
2022/09/28 by Shaohua Fan, Fan, Shaohua, Xiao Wang +7 · 11 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs
2022/06/07 by Zhaocheng Zhu, Xinyu Yuan, Zhu, Zhaocheng +9 · 8 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Topic Modeling
- Lattice dynamics, phonon chirality and spin-phonon coupling in 2D itinerant ferromagnet Fe3GeTe2
2019/09/04 by Luojun Du, Jian Tang, Du, Luojun +29 · 6 citations
Materials Science · Physics and Astronomy · #2D Materials and Applications #Topological Materials and Phenomena #Graphene research and applications
- Robotic Grasping from Classical to Modern: A Survey
2022/02/08 by Hanbo Zhang, Zhang, Hanbo, Jian Tang +5 · 7 citations
Engineering · #FOS: Computer and information sciences #Robot Manipulation and Learning #Robotics (cs.RO)
- Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation
2024/09/22 by Minjie Zhu, Yichen Zhu, Zhu, Minjie +19 · 16 citations
Engineering · Materials Science · #Advanced Surface Polishing Techniques #Copper Interconnects and Reliability #Magnetic Properties and Applications
- A Graph to Graphs Framework for Retrosynthesis Prediction
2020/03/28 by Chence Shi, Shi, Chence, Minkai Xu +7 · 7 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
2020/11/05 by Xuanzhao Wang, Wang, Xuanzhao, Zhengping Che +15 · 6 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Network Security and Intrusion Detection #Artificial Immune Systems Applications
- An End-to-End Framework for Molecular Conformation Generation via\n Bilevel Programming
2021/01/01 by Minkai Xu, Wujie Wang, Xu, Minkai +11 · 5 citations
Chemistry · Computer Science · Engineering · Materials Science · Mathematics · #Advanced Optimization Algorithms Research #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mathematical Biology Tumor Growth #Metal-Organic Frameworks: Synthesis and Applications #Process Optimization and Integration
- Self-supervised Graph-level Representation Learning with Local and Global Structure
2021/06/08 by Minghao Xu, Xu, Minghao, Hang Wang +7 · 6 citations
Computer Science · Materials Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Machine Learning in Bioinformatics
- Learning Neural Generative Dynamics for Molecular Conformation Generation
2021/02/20 by Minkai Xu, Xu, Minkai, Shitong Luo +7 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- Current-driven magnetization switching in a van der Waals ferromagnet Fe3GeTe2
2019/02/15 by Xiao Wang, Wang, Xiao, Jian Tang +51 · 4 citations
Materials Science · Physics and Astronomy · Engineering · #2D Materials and Applications #Magnetic properties of thin films #Advanced Memory and Neural Computing
- ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
2023/01/28 by Minghao Xu, Xu, Minghao, Xinyu Yuan +5 · 6 citations
Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics #RNA and protein synthesis mechanisms
- Experience-driven Networking: A Deep Reinforcement Learning based Approach
2018/01/17 by Zhiyuan Xu, Xu, Zhiyuan, Jian Tang +11 · 6 citations
Computer Science · Engineering · #Software-Defined Networks and 5G #Age of Information Optimization #Traffic control and management
- Learning To Navigate The Synthetically Accessible Chemical Space Using\n Reinforcement Learning
2020/04/26 by Sai Krishna Gottipati, Boris Sattarov, Gottipati, Sai Krishna +21 · 5 citations
Computer Science · Engineering · Materials Science · #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Computational Drug Discovery Methods #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Structure Language Models for Protein Conformation Generation
2024/10/24 by Jiarui Lu, Xiaoyin Chen, Lu, Jiarui +11 · 1 voice · 7 citations
Computer Science · #Software Engineering Research
- Fully-inductive Node Classification on Arbitrary Graphs
2024/05/30 by Jianan Zhao, Zhao, Jianan, Zhaocheng Zhu +9 · 8 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games
2020/02/21 by Ashutosh Adhikari, Xingdi Yuan, Adhikari, Ashutosh +17 · 6 citations
Computer Science · #Artificial Intelligence in Games #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
2024/07/12 by Sitao Luan, Chenqing Hua, Luan, Sitao +25 · 1 voice · 6 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #cs.LG #cs.SI
- Evaluating Self-Supervised Learning for Molecular Graph Embeddings
2022/06/16 by Hanchen Wang, Wang, Hanchen, Jean Kaddour +9 · 4 citations
Computer Science · Materials Science · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Advanced Graph Neural Networks
- Neural-Symbolic Models for Logical Queries on Knowledge Graphs
2022/05/16 by Zhaocheng Zhu, Zhu, Zhaocheng, Mikhail Galkin +5 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
2022/10/12 by Yangtian Zhang, Zhang, Yangtian, Huiyu Cai +7 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- GENERator: A Long-Context Generative Genomic Foundation Model
2025/02/11 by Wei Wu, Wu, Wei, Qiuyi Li +23 · 1 voice · 7 citations
#cs.CL #q-bio.GN
- Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
2020/07/05 by Meng Qu, Tianyu Gao, Qu, Meng +5 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
- Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
2024/01/08 by Minjie Zhu, Yichen Zhu, Zhu, Minjie +19 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robotics (cs.RO) #Topic Modeling
- Unsupervised Path Representation Learning with Curriculum Negative Sampling
2021/06/17 by Chenjuan Guo, Yang, Sean Bin, Guo, Chenjuan +6 · 3 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
- Graph Policy Network for Transferable Active Learning on Graphs
2020/06/24 by Shengding Hu, Hu, Shengding, Zheng Xiong +11 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Machine Learning and Algorithms #Topic Modeling
- vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
2019/06/18 by Fan-Yun Sun, Sun, Fan-Yun, Meng Qu +7 · 4 citations
Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Advanced Graph Neural Networks #Opinion Dynamics and Social Influence
- High-Order Pooling for Graph Neural Networks with Tensor Decomposition
2022/05/24 by Chenqing Hua, Hua, Chenqing, Guillaume Rabusseau +3 · 3 citations
Computer Science · Mathematics · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
- Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data
2018/01/28 by Ning Liu, Liu, Ning, Ying Liu +9 · 2 citations
Decision Sciences · Mathematics · Medicine · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Renal Transplantation Outcomes and Treatments
- FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
2022/09/30 by Songtao Liu, Liu, Songtao, Tu, Zhengkai +13 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #Chemical Synthesis and Analysis #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
- Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation
2024/09/27 by Kun Wu, Yichen Zhu, Wu, Kun +11 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
2019/04/04 by Tongtong Yuan, Weihong Deng, Yuan, Tongtong +7 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
- Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
2024/03/10 by Minjie Zhu, Yichen Zhu, Zhu, Minjie +17 · 4 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems
- Domain Conditioned Adaptation Network
2020/05/14 by Shuang Li, Chi Harold Liu, Li, Shuang +11 · 2 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Object-Centric Instruction Augmentation for Robotic Manipulation
2024/01/05 by Junjie Wen, Yichen Zhu, Wen, Junjie +19 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Robotics (cs.RO)
- HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots
2025/03/12 by Qiang Zhang, Zhang Zhang, Zhang, Qiang +28 · 9 citations
Engineering · Psychology · #FOS: Computer and information sciences #Robot Manipulation and Learning #Robotics (cs.RO) #Robotics and Sensor-Based Localization #Social Robot Interaction and HRI
- Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
2017/03/01 by Liang Zhao, Siyu Liao, Zhao, Liang +11 · 3 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Structural Health Monitoring Techniques
- How to transfer algorithmic reasoning knowledge to learn new algorithms?
2021/10/26 by Louis-Pascal Xhonneux, Xhonneux, Louis-Pascal A. C., Andreea-Ioana Deac +5 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Make A Long Image Short: Adaptive Token Length for Vision Transformers
2021/12/03 by Yichen Zhu, Yuqin Zhu, Zhu, Yichen +11 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving
2022/02/17 by Yinuo Zhao, Kun Wu, Zhao, Yinuo +11 · 2 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods
- Neural Structured Prediction for Inductive Node Classification
2022/04/15 by Meng Qu, Qu, Meng, Huiyu Cai +3 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
2024/06/28 by Jinming Li, Yichen Zhu, Li, Jinming +17 · 5 citations
Engineering · Computer Science · #Robotics and Automated Systems #Speech and dialogue systems #AI in Service Interactions
- Cell-ontology guided transcriptome foundation model
2024/08/22 by Xinyu Yuan, Yuan, Xinyu, Zuobai Zhang +11 · 4 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG)
- SM3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects
2024/01/17 by Haowen Wang, Wang, Haowen, Zhen Zhao +15 · 3 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Advanced Neural Network Applications #Human Pose and Action Recognition
- AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
2019/07/06 by Ning Liu, Xiaolong Ma, Liu, Ning +9 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Deep geometric knowledge distillation with graphs
2019/11/08 by Carlos Lassance, Myriam Bontonou, Lassance, Carlos +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Big Data and Digital Economy #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
2025/03/28 by Zhanke Zhou, Zhaocheng Zhu, Zhou, Zhanke +12 · 6 citations
Computer Science · Social Sciences · #Topic Modeling #Computational and Text Analysis Methods #Multimodal Machine Learning Applications
- Neural Algorithmic Reasoners are Implicit Planners
2021/10/11 by Andreea Deac, Deac, Andreea, Petar Veličković +9 · 2 citations
Computer Science · #Reinforcement Learning in Robotics #AI-based Problem Solving and Planning #Neural Networks and Applications
- Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
2016/06/01 by Dejun Yang, Guoliang Xue, Xi Fang +1 · 1 citation
- XLVIN: eXecuted Latent Value Iteration Nets
2020/10/25 by Andreea Deac, Deac, Andreea, Petar Veličković +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
- Design of Ligand-Binding Proteins with Atomic Flow Matching
2024/09/18 by Junqi Liu, Shaoning Li, Liu, Junqi +7 · 3 citations
Medicine · #Biomolecules (q-bio.BM) #FOS: Biological sciences #Monoclonal and Polyclonal Antibodies Research
- Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM
2019/03/23 by Shaokai Ye, Xiaoyu Feng, Ye, Shaokai +26 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Speech and Audio Processing
- Visual Robotic Manipulation with Depth-Aware Pretraining
2024/01/17 by Wanying Wang, Jinming Li, Wang, Wanying +17 · 3 citations
Computer Science · #Advanced Vision and Imaging #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robotics (cs.RO)
- SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models
2025/06/04 by Meng Li, Zhen Zhao, Li, Meng +17 · 7 citations
Computer Science · Engineering · Psychology · #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Robotics (cs.RO) #Social Robot Interaction and HRI
- An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
2020/01/20 by Xiaolong Ma, Wei Niu, Ma, Xiaolong +19 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM
- A Foundation Model for Zero-shot Logical Query Reasoning
2024/04/10 by Mikhail Galkin, Jincheng Zhou, Galkin, Mikhail +7 · 2 citations
Computer Science · #Logic, Reasoning, and Knowledge #Semantic Web and Ontologies #Rough Sets and Fuzzy Logic
- Investigating Class-level Difficulty Factors in Multi-label\n Classification Problems
2020/05/01 by Mark Marsden, Kevin McGuinness, Marsden, Mark +15 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Text and Document Classification Technologies
- Iterative Graph Self-Distillation
2020/10/23 by Hanlin Zhang, Zhang, Hanlin, Shuai Lin +11 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies
- Protein Sequence and Structure Co-Design with Equivariant Translation
2022/10/17 by Chence Shi, Chuanrui Wang, Shi, Chence +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Protein Structure and Dynamics
- Inductive Logical Query Answering in Knowledge Graphs
2022/10/13 by Mikhail Galkin, Galkin, Mikhail, Zhaocheng Zhu +5 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- High-Precision Physics Experiments at Huizhou Large-Scale Scientific Facilities
2025/04/29 by Fengpeng An, An, FengPeng, Di Bai +78 · 3 citations
Social Sciences · Engineering · #International Science and Diplomacy #Particle accelerators and beam dynamics #Particle Accelerators and Free-Electron Lasers
- 2023 Low-Power Computer Vision Challenge (LPCVC) Summary
2024/03/11 by Yi Chen, Chen, Leo, Ping Hu +55 · 1 citation
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection
- Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation
2024/01/17 by Kun-Ru Wu, Ning Liu, Wu, Kun +13 · 1 citation
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Pose and Action Recognition #I.2.9 #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
2022/03/30 by Chenjuan Guo, Yang, Sean Bin, Guo, Chenjuan +8 · 1 citation
Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
- Occupancy World Model for Robots
2025/05/07 by Zhang Zhang, Zhang, Zhang, Qiang Zhang +27 · 3 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO) #Robotics and Sensor-Based Localization
- Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
2024/07/07 by Liekang Zeng, Zeng, Liekang, Shengyuan Ye +14 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI) #Parallel #and Cluster Computing (cs.DC)
- Label-Guided Auxiliary Training Improves 3D Object Detector
2022/07/24 by Yaomin Huang, Huang, Yaomin, Xinmei Liu +17 · 2 citations
Computer Science · Earth and Planetary Sciences · #3D Surveying and Cultural Heritage #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition
- EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
2024/10/31 by Xinwang Chen, Ning Liu, Chen, Xinwang +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Digital Filter Design and Implementation #FOS: Computer and information sciences
- FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency
2025/06/10 by Yifei Su, Ning Liu, Su, Yifei +15 · 2 citations
Engineering · Computer Science · #Robot Manipulation and Learning #Generative Adversarial Networks and Image Synthesis #Reinforcement Learning in Robotics
- Final assessment of radioactive impurities in the JUNO detector
2026/07/20 by Thomas Adam, Fengpeng An, Costas Andreopoulos +569
#physics.ins-det #hep-ex
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