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Di He

  1. Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
    2023/05/24 by Guhao Feng, Bohang Zhang, Feng, Guhao +9 · 1 voice · 52 citations
    #cs.LG #cs.CC #cs.CL #stat.ML
  2. Representation Degeneration Problem in Training Natural Language Generation Models
    2019/07/27 by Jun Gao, Di He, Gao, Jun +9 · 20 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  3. GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
    2020/09/07 by Tianle Cai, Cai, Tianle, Shengjie Luo +9 · 13 citations
    Computer Science · Engineering · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #FOS: Mathematics #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Optimization and Control (math.OC)
  4. REST: Retrieval-Based Speculative Decoding
    2023/11/14 by Zhenyu He, He, Zhenyu, Zexuan Zhong +7 · 19 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  5. DPO Meets PPO: Reinforced Token Optimization for RLHF
    2024/04/29 by Zhong Han, Zhong, Han, Guhao Feng +13 · 18 citations
    Computer Science · Engineering · #Real-Time Systems Scheduling #Real-time simulation and control systems
  6. Rethinking the Expressive Power of GNNs via Graph Biconnectivity
    2023/01/23 by Bohang Zhang, Zhang, Bohang, Shengjie Luo +5 · 12 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Invertible Image Rescaling
    2020/05/12 by Shuxin Zheng, Xiao, Mingqing, Zheng, Shuxin +14 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #Digital Holography and Microscopy #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  8. Online Training Through Time for Spiking Neural Networks
    2022/10/09 by Mingqing Xiao, Xiao, Mingqing, Qingyan Meng +7 · 11 citations
    Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  9. MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
    2020/01/08 by Runtian Zhai, Dan Chen, Zhai, Runtian +13 · 13 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
  10. A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
    2023/02/14 by Bohang Zhang, Guhao Feng, Zhang, Bohang +7 · 9 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Computational Complexity (cs.CC) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Topic Modeling
  11. Your Transformer May Not be as Powerful as You Expect
    2022/05/26 by Shengjie Luo, Shanda Li, Luo, Shengjie +9 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. One Transformer Can Understand Both 2D & 3D Molecular Data
    2022/10/04 by Shengjie Luo, Tianlang Chen, Luo, Shengjie +11 · 5 citations
    Materials Science · Computer Science · Chemistry · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Various Chemistry Research Topics
  13. FRAGE: Frequency-Agnostic Word Representation
    2018/09/18 by Chengyue Gong, Gong, Chengyue, Di He +9 · 4 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
  14. Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
    2023/07/17 by Ruichen Li, Haotian Ye, Li, Ruichen +19 · 1 voice · 1 citation
    Computer Science · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #cs.LG #physics.chem-ph #physics.comp-ph
  15. End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction
    2024/01/08 by Qingsi Lai, Lai, Qingsi, Xu, Fanjie +18 · 5 citations
    Materials Science · Engineering · #X-ray Diffraction in Crystallography #Crystallization and Solubility Studies #Powder Metallurgy Techniques and Materials
  16. LazyFormer: Self Attention with Lazy Update
    2021/02/25 by Chengxuan Ying, Guolin Ke, Ying, Chengxuan +5 · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Text Analysis Techniques
  17. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning
    2025/02/12 by Qian Yu, Zhenyu He, Yu, Qifan +11 · 7 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Cognitive Science and Mapping #Online Learning and Analytics
  18. Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
    2024/01/29 by Zhenyu He, He, Zhenyu, Guhao Feng +15 · 3 citations
    Computer Science · #Advanced Data Compression Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques
  19. Do Efficient Transformers Really Save Computation?
    2024/02/21 by Kai Yang, Jan Ackermann, Yang, Kai +15 · 3 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #Quantum Computing Algorithms and Architecture
  20. Denoising Masked AutoEncoders Help Robust Classification
    2022/10/10 by Quanlin Wu, Wu, Quanlin, Hang Ye +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG)
  21. Personalized Predictive ASR for Latency Reduction in Voice Assistants
    2023/05/23 by Andreas Schwarz, Schwarz, Andreas, Di He +7 · 2 citations
    Computer Science · #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Speech Recognition and Synthesis #Speech and Audio Processing #Speech and dialogue systems #electronic engineering #information engineering
  22. Non-Autoregressive Machine Translation with Auxiliary Regularization
    2019/02/22 by Yiren Wang, Fei Tian, Wang, Yiren +9 · 2 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
  23. Defective Convolutional Networks
    2019/11/19 by Tiange Luo, Luo, Tiange, Tianle Cai +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  24. Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
    2021/02/10 by Bohang Zhang, Tianle Cai, Zhang, Bohang +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. GeoMFormer: A General Architecture for Geometric Molecular Representation Learning
    2024/06/24 by Tianlang Chen, Chen, Tianlang, Shengjie Luo +9 · 2 citations
    Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods
  26. Learning Physics-Informed Neural Networks without Stacked Back-propagation
    2022/02/18 by Di He, Shanda Li, He, Di +13 · 1 citation
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  27. HousE: Knowledge Graph Embedding with Householder Parameterization
    2022/02/16 by Rui Li, Li, Rui, Jianan Zhao +21 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
  28. Bridging Geometric States via Geometric Diffusion Bridge
    2024/10/31 by Shengjie Luo, Yixian Xu, Luo, Shengjie +8 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Cellular Automata and Applications #Computational Geometry and Mesh Generation #DNA and Biological Computing #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM)
  29. Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion
    2024/01/26 by Jinhan Wang, Wang, Jinhan, Long Chen +15 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and dialogue systems #electronic engineering #information engineering
  30. Review of APSIM's soil nitrogen modelling capability for agricultural systems analyses
    2024/12/14 by Kirsten Verburg, Heather Pasley, Heather R. Pasley +32 · 1 citation
    Agricultural and Biological Sciences · Environmental Science · #Crop Yield and Soil Fertility #Soil Carbon and Nitrogen Dynamics #Wastewater Treatment and Nitrogen Removal
  31. MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View
    2025/04/25 by Linlin Lu, Di He, Lu, Liugang +5 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #UAV Applications and Optimization
  32. AREX: Towards a Recursively Self-Improving Agent for Deep Research
    2026/07/23 by Shuqi Lu, Chaofan Li, Kun Luo +21 · 2 voices
    #cs.AI
  33. Muse: Representation Geometry of Muon Beyond Normalized Momentum
    2026/07/16 by Da Chang, Qiankun Shi, Lvgang Zhang +4
    #cs.LG