PPaperPicks

Junchi Yan

125 papers at tracked venues · 119 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-9639-7679 ↗

Venues

ICLR ×34NeurIPS ×30ICML ×19CVPR ×11AAAI ×9ICCV ×5ACL ×4SIGKDD ×4ECCV ×2IJCAI ×2WWW ×2ACM MM ×1EMNLP ×1ICRA ×1

Frequent coauthors

Liangliang Shi
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Yang Li
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Mingquan Feng
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Yiting Chen
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Ge Yan
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Tianyi Bao
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Huaijin Wu
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Yuqing Zhang
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Xiaohan Qin
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Yehui Tang
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Hao Xiong
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Xiangdong Zhang
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Papers

  1. On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
    AAAI 2026 ·
    Tongcheng Zhang
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  2. ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
    AAAI 2026 ·
    Qingmei Wang
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  3. Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization
    AAAI 2026 ·
    Ge Yan
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  4. BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
    ICLR 2025 ·
    Hao Yuan
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  5. Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation
    ICLR 2025 ·
    Tianyi Bao
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  6. BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems
    SIGKDD 2025 ·
    Liangliang Shi
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  7. Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization
    NeurIPS 2025 ·
    Qi Liu
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  8. Bridging Crypto with ML-based Solvers: the SAT Formulation and Benchmarks
    NeurIPS 2025 ·
    Xinhao Zheng
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  9. COExpander: Adaptive Solution Expansion for Combinatorial Optimization
    ICML 2025 ·
    Jiale Ma
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  10. CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
    NeurIPS 2025 ·
    Pengyi Li
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  11. CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning
    ICLR 2025 ·
    Shaofeng Zhang
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  12. DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge
    ICML 2025 ·
    Liangliang Shi
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  13. DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
    ICLR 2025 ·
    Xiaosong Jia
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  14. Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
    NeurIPS 2025 ·
    Xiangyu Zhao
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  15. FlatFusion: Delving Into Details of Sparse Transformer-Based Camera-LiDAR Fusion for Autonomous Driving
    ICRA 2025 ·
    Yutao Zhu
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  16. Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape
    NeurIPS 2025 ·
    Shiyue Wang
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  17. FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers
    ICCV 2025 ·
    Haisheng Su
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  18. Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization
    NeurIPS 2025 ·
    Yang Li
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  19. Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning
    ICML 2025 ·
    Yang Li
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  20. GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-Based Transformer
    ICCV 2025 ·
    Xin Jin
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  21. GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
    ICLR 2025 ·
    Renqiu Xia
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  22. HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs
    ICML 2025 ·
    Mingquan Feng
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  23. HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing
    ICLR 2025 ·
    Huaijin Wu
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  24. Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning
    AAAI 2025 ·
    Xiaolei Chen
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  25. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
    ACL 2025 ·
    Qibing Ren
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  26. Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision
    ICML 2025 ·
    Anqi Lu
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  27. Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching
    ICLR 2025 ·
    Zetian Jiang
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  28. ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs
    NeurIPS 2025 ·
    Jiale Ma
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  29. MS-Bench: Evaluating LMMs in Ancient Manuscript Study through a Dunhuang Case Study
    NeurIPS 2025 ·
    Yuqing Zhang
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  30. NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective
    NeurIPS 2025 ·
    Xiaohan Qin
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  31. On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation
    ICLR 2025 ·
    Xinyu Ye
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  32. On the Role of Label Noise in the Feature Learning Process
    ICML 2025 ·
    Andi Han
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  33. Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
    AAAI 2025 ·
    Mingquan Feng
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  34. Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
    ICLR 2025 ·
    Liangliang Shi
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  35. Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach
    IJCAI 2025 ·
    Jingwei Hu
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  36. Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities
    ICLR 2025 ·
    Yichen Wang
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  37. PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark
    ICLR 2025 ·
    Mingquan Feng
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  38. Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning
    ICCV 2025 ·
    Zeyu Xi
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  39. Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
    CVPR 2025 ·
    Yi Yu
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  40. QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline
    ICML 2025 ·
    Tianyi Bao
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  41. QuEST: Low-Bit Diffusion Model Quantization via Efficient Selective Finetuning
    ICCV 2025 ·
    Haoxuan Wang
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  42. QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
    ICLR 2025 ·
    Yehui Tang
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  43. QuanONet: Quantum Neural Operator with Application to Differential Equation
    ICML 2025 ·
    Ruocheng Wang
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  44. Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
    NeurIPS 2025 ·
    Zhenjie Yang
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  45. Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
    ACL 2025 ·
    Zhihu Wang
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  46. Regularizing Energy among Training Samples for Out-of-Distribution Generalization
    ICLR 2025 ·
    Yiting Chen
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  47. Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training
    SIGKDD 2025 ·
    Hao Xiong
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  48. Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design
    NeurIPS 2025 ·
    Nianzu Yang
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  49. Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
    ICLR 2025 ·
    Siyu Sun
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  50. Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
    ICLR 2025 ·
    Qi Liu
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  51. Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
    CVPR 2025 ·
    Xiaohan Qin
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  52. RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments
    CVPR 2025 ·
    Haisheng Su
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  53. SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
    ICLR 2025 ·
    Mingquan Feng
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  54. SelKD: Selective Knowledge Distillation via Optimal Transport Perspective
    ICLR 2025 ·
    Liangliang Shi
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  55. Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training
    ICLR 2025 ·
    Zhanpeng Zhou
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  56. StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization
    NeurIPS 2025 ·
    Yu Wang
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  57. Tensor Network: from the Perspective of AI4Science and Science4AI
    IJCAI 2025 · Junchi Yan
  58. The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training
    ICML 2025 ·
    Jinbo Wang
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  59. Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
    CVPR 2025 ·
    Xiaohan Qin
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  60. Towards More Diverse and Challenging Pre-Training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
    ICCV 2025 ·
    Xiangdong Zhang
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  61. Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree
    NeurIPS 2025 ·
    Xingbo Du
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  62. Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving
    ICLR 2025 ·
    Kairui Yang
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  63. UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
    ICLR 2025 ·
    Wenzheng Pan
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  64. UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection
    CVPR 2025 ·
    Xin Jin
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  65. Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search
    ICLR 2025 ·
    Yang Li
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  66. VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models
    NeurIPS 2025 ·
    Xiangdong Zhang
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  67. ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
    ICML 2024 ·
    Ziao Guo
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  68. Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
    NeurIPS 2024 ·
    Xiaosong Jia
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  69. Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
    NeurIPS 2024 ·
    Haoyu Geng
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  70. Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach
    CVPR 2024 ·
    Beichen Zhang
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  71. Boundary Matters: A Bi-Level Active Finetuning Method
    NeurIPS 2024 ·
    Han Lu
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  72. CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving
    ACM MM 2024 ·
    Wenlong Liao
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  73. Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range
    SIGKDD 2024 ·
    Huaqing Shao
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  74. Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning
    CVPR 2024 ·
    Hao Xiong
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  75. Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
    NeurIPS 2024 ·
    Qingwen Bu
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  76. CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
    ACL 2024 ·
    Qibing Ren
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  77. Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach
    ICLR 2024 ·
    Shaofeng Zhang
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  78. Double-Bounded Optimal Transport for Advanced Clustering and Classification
    AAAI 2024 ·
    Liangliang Shi
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  79. Dynamic Reactive Spiking Graph Neural Network
    AAAI 2024 ·
    Han Zhao
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  80. EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
    ICLR 2024 ·
    Huaijin Wu
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  81. Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization
    NeurIPS 2024 ·
    Yang Li
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  82. FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
    NeurIPS 2024 ·
    Ruizhe Zhong
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  83. GeoMix: Towards Geometry-Aware Data Augmentation
    SIGKDD 2024 ·
    Wentao Zhao
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  84. Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
    ICLR 2024 ·
    Yiting Chen
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  85. Graph Out-of-Distribution Detection Goes Neighborhood Shaping
    ICML 2024 ·
    Tianyi Bao
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  86. Graph Out-of-Distribution Generalization via Causal Intervention
    WWW 2024 ·
    Qitian Wu
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  87. Grounding and Enhancing Grid-based Models for Neural Fields
    CVPR 2024 ·
    Zelin Zhao
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  88. How Graph Neural Networks Learn: Lessons from Training Dynamics
    ICML 2024 ·
    Chenxiao Yang
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  89. InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
    ICLR 2024 ·
    Jiawei Sun
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  90. L2P-MIP: Learning to Presolve for Mixed Integer Programming
    ICLR 2024 ·
    Chang Liu
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  91. LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
    ECCV 2024 ·
    Yuqing Zhang
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  92. LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
    ICLR 2024 ·
    Tianyu Li
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  93. Learning Divergence Fields for Shift-Robust Graph Representations
    ICML 2024 ·
    Qitian Wu
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  94. Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
    NeurIPS 2024 ·
    Xinhao Zheng
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  95. Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
    NeurIPS 2024 ·
    Jian Hu
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  96. M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
    ICLR 2024 ·
    Jiaxin Lu
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  97. MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness
    ICML 2024 ·
    Yahong Zhang
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  98. MixSATGEN: Learning Graph Mixing for SAT Instance Generation
    ICLR 2024 ·
    Xinyan Chen
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  99. MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation
    ICML 2024 ·
    Nianzu Yang
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  100. Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
    ICLR 2024 ·
    Hao Xiong
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  101. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
    ACL 2024 ·
    Xudong Lu
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  102. OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport
    ICML 2024 ·
    Liangliang Shi
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  103. On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm
    ICML 2024 ·
    Zhanpeng Zhou
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  104. PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
    NeurIPS 2024 ·
    Xiangdong Zhang
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  105. PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study
    EMNLP 2024 ·
    Yuqing Zhang
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  106. Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision
    CVPR 2024 ·
    Yi Yu
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  107. PointOBB: Learning Oriented Object Detection via Single Point Supervision
    CVPR 2024 ·
    Junwei Luo
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  108. PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
    AAAI 2024 ·
    Ruizhe Zhong
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  109. QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation
    NeurIPS 2024 ·
    Huaijin Wu
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  110. ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
    NeurIPS 2024 ·
    Xiaoxing Wang
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  111. ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
    ICLR 2024 ·
    Bo Zhang
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  112. Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
    WWW 2024 ·
    Wujiang Xu
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  113. Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
    NeurIPS 2024 ·
    Ge Yan
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  114. Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
    ICLR 2024 ·
    Ge Yan
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  115. SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
    ICML 2024 ·
    Yehui Tang
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  116. Theoretically Achieving Continuous Representation of Oriented Bounding Boxes
    CVPR 2024 ·
    Zi-Kai Xiao
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  117. Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2)
    ECCV 2024 ·
    Qifeng Li
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  118. Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
    NeurIPS 2024 ·
    Chang Liu
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  119. Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
    ICLR 2024 ·
    Changwen Zhang
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  120. Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
    ICLR 2024 ·
    Yehui Tang
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  121. Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
    NeurIPS 2024 ·
    Hancheng Ye
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  122. UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis
    ICML 2024 ·
    Yunhao Zhang
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  123. Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance
    NeurIPS 2024 ·
    Yiting Chen
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  124. ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
    AAAI 2024 ·
    Danning Lao
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  125. What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information
    NeurIPS 2024 ·
    Yiting Chen
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