Junchi Yan - researchr alias

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Viewing Publication 1 - 100 from 339

2024

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithmsGe Yan 0001, Hongxu Chen, Kaisen Pan, Junchi Yan. iclr 2024: [doi]

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category TheoryYiting Chen 0003, Zhanpeng Zhou, Junchi Yan. iclr 2024: [doi]

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert SpaceHao Xiong 0003, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan. iclr 2024: [doi]

Alpharotate: A Rotation Detection Benchmark Using TensorflowXue Yang 0005, Yue Zhou 0005, Wenlong Liao, Tao He, Junchi Yan. icassp 2024: 9481-9485 [doi]

L2P-MIP: Learning to Presolve for Mixed Integer ProgrammingChang Liu 0021, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan. iclr 2024: [doi]

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target SimulationBo Zhang 0069, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen 0003, Si Liu 0001, Junchi Yan, Yu Qiao 0001. iclr 2024: [doi]

Graph Out-of-Distribution Detection Goes Neighborhood ShapingTianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan. icml 2024: [doi]

MixSATGEN: Learning Graph Mixing for SAT Instance GenerationXinyan Chen, Yang Li, Runzhong Wang, Junchi Yan. iclr 2024: [doi]

GMTR: Graph Matching TransformersJinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu 0021, Junchi Yan. icassp 2024: 6535-6539 [doi]

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance GenerationZiao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan. icml 2024: [doi]

ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual CategorizationDanning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen. AAAI 2024: 2866-2873 [doi]

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous DrivingTianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li 0001. iclr 2024: [doi]

View Crafting For Instance-Level Representation from Scene ImagesBin Liu, YuChen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan. icassp 2024: 5355-5359 [doi]

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and ClusteringJiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan. iclr 2024: [doi]

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsXudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang 0069, Junchi Yan, Hongsheng Li 0001. acl 2024: 6159-6172 [doi]

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code CompletionQibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma. acl 2014: 11437-11452 [doi]

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing RangeHuaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan. kdd 2024: 2596-2607 [doi]

Double-Bounded Optimal Transport for Advanced Clustering and ClassificationLiangliang Shi, Zhaoqi Shen, Junchi Yan. AAAI 2024: 14982-14990 [doi]

OT-CLIP: Understanding and Generalizing CLIP via Optimal TransportLiangliang Shi, Jack Fan, Junchi Yan. icml 2024: [doi]

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test NodesJiawei Sun, Kailai Li, Ruoxin Chen, Jie Li 0002, Chentao Wu, Yue Ding 0001, Junchi Yan. iclr 2024: [doi]

SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State ClassificationYehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan. icml 2024: [doi]

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A BenchmarkYehui Tang, Hao Xiong 0003, Nianzu Yang, Tailong Xiao, Junchi Yan. iclr 2024: [doi]

Progressive reinforcement learning for video summarizationGuolong Wang, Xun Wu, Junchi Yan. isci, 655:119888, January 2024. [doi]

Pygmtools: A Python Graph Matching ToolkitRunzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan. jmlr, 25, 2024. [doi]

Learning Divergence Fields for Shift-Robust Graph RepresentationsQitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan. icml 2024: [doi]

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy ModelHuaijin Wu, Wei Liu 0005, Yatao Bian, Jiaxiang Wu 0001, Nianzu Yang, Junchi Yan. iclr 2024: [doi]

Graph Out-of-Distribution Generalization via Causal InterventionQitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan. WWW 2024: 850-860 [doi]

Efficient Architecture Search for Real-Time Instance SegmentationRenqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan. icassp 2024: 3310-3314 [doi]

Rethinking Cross-Domain Sequential Recommendation under Open-World AssumptionsWujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan. WWW 2024: 3173-3184 [doi]

How Graph Neural Networks Learn: Lessons from Training DynamicsChenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun 0001, Junchi Yan. icml 2024: [doi]

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology GenerationNianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu 0001, Yimin Wang, Junchi Yan. icml 2024: [doi]

ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object DetectionYing Zeng, Yushi Chen, Xue Yang 0005, Qingyun Li, Junchi Yan. tgrs, 62:1-15, 2024. [doi]

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series AnalysisYunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan. icml 2024: [doi]

MILP-FBGen: LP/MILP Instance Generation with Feasibility/BoundednessYahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan. icml 2024: [doi]

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based ApproachShaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang 0019, Jiebo Luo, Junchi Yan. iclr 2024: [doi]

ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale TransformationTianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han. tnn, 35(4):4478-4490, April 2024. [doi]

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation ApproachChangwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan. iclr 2024: [doi]

GeoMix: Towards Geometry-Aware Data AugmentationWentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan. kdd 2024: 4500-4511 [doi]

Dynamic Reactive Spiking Graph Neural NetworkHan Zhao, Xu Yang, Cheng Deng, Junchi Yan. AAAI 2024: 16970-16978 [doi]

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell ModelingRuizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan. AAAI 2024: 17087-17095 [doi]

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning ParadigmZhanpeng Zhou, Zijun Chen, Yilan Chen 0002, Bo Zhang 0069, Junchi Yan. icml 2024: [doi]

2023

Learning Regularized Noise Contrastive Estimation for Robust Network EmbeddingHao Xiong 0003, Junchi Yan, Zengfeng Huang. tkde, 35(5):5017-5034, May 2023. [doi]

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionXue Yang 0005, Gefan Zhang, Wentong Li, Yue Zhou 0005, Xuehui Wang, Junchi Yan. iclr 2023: [doi]

The KFIoU Loss for Rotated Object DetectionXue Yang 0005, Yue Zhou 0005, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang 0008, Qi Tian 0001. iclr 2023: [doi]

Detecting Rotated Objects as Gaussian Distributions and its 3-D GeneralizationXue Yang 0005, Gefan Zhang, Xiaojiang Yang, Yue Zhou 0005, Wentao Wang, Jin Tang 0001, Tao He, Junchi Yan. pami, 45(4):4335-4354, April 2023. [doi]

Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling ApproachJianyong Yuan 0032, Jiayi Zhang, Zinuo Cai, Junchi Yan. kdd 2023: 3162-3172 [doi]

Progressive Context-Aware Graph Feature Learning for Target Re-IdentificationMin Cao, Cong Ding 0013, Chen Chen 0036, Hao Dou, Xiyuan Hu, Junchi Yan. tmm, 25:1230-1242, 2023. [doi]

C-NTPP: Learning Cluster-Aware Neural Temporal Point ProcessFangyu Ding, Junchi Yan, Haiyang Wang. AAAI 2023: 7369-7377 [doi]

HubRouter: Learning Global Routing via Hub Generation and Pin-hub ConnectionXingbo Du, Chonghua Wang, Ruizhe Zhong, Junchi Yan. nips 2023: [doi]

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled RepresentationsHaoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan. kdd 2023: 518-530 [doi]

GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural PredictionHaoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan. kdd 2023: 531-543 [doi]

Machine Learning Methods in Solving the Boolean Satisfiability ProblemWenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan. ijautcomp, 20(5):640-655, October 2023. [doi]

HSA: Hyperbolic Self-attention for Sequential RecommendationPeizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan. apweb 2024: 250-264 [doi]

Learning Dynamic Graph for Overtaking Strategy in Autonomous DrivingXuemin Hu, Yanfang Liu, Bo Tang 0011, Junchi Yan, Long Chen 0005. tits, 24(11):11921-11933, November 2023. [doi]

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous DrivingXiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li 0001. cvpr 2023: 21983-21994 [doi]

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous DrivingXiaosong Jia, YuLu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li. iccv 2023: 7919-7929 [doi]

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene EncodingXiaosong Jia, Penghao Wu, Li Chen, Yu Liu 0015, Hongyang Li, Junchi Yan. pami, 45(11):13860-13875, November 2023. [doi]

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement LearningWenhao Li, Bo Jin 0003, Xiangfeng Wang, Junchi Yan, Hongyuan Zha. jmlr, 24, 2023. [doi]

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware BaselineYang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan. kdd 2023: 4414-4425 [doi]

IID-GAN: an IID Sampling Perspective for Regularizing Mode CollapseYang Li, Liangliang Shi, Junchi Yan. IJCAI 2023: 3929-3938 [doi]

From Distribution Learning in Training to Gradient Search in Testing for Combinatorial OptimizationYang Li, Jinpei Guo, Runzhong Wang, Junchi Yan. nips 2023: [doi]

Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale DatasetWenxuan Liu, Tianyao He, Chen Gong, Ning Zhang, Hua Yang, Junchi Yan. mm 2023: 8839-8848 [doi]

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph MatchingChang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan. iclr 2023: [doi]

Ternary Weight NetworksBin Liu, Fengfu Li, Xiaogang Wang 0001, Bo Zhang, Junchi Yan. icassp 2023: 1-5 [doi]

QAS-Bench: Rethinking Quantum Architecture Search and A BenchmarkXudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan. icml 2023: 22880-22898 [doi]

Adaptable Conservative Q-Learning for Offline Reinforcement LearningLyn Qiu, Xu Li, Lenghan Liang, Mingming Sun, Junchi Yan. prcv 2024: 200-212 [doi]

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output SpaceHuaqing Shao, Lanjun Wang, Junchi Yan. kdd 2023: 2010-2022 [doi]

Learning Structured Communication for Multi-Agent Reinforcement LearningJunjie Sheng, Xiangfeng Wang, Bo Jin 0003, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha. atal 2023: 436-438 [doi]

Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) ClassificationLiangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan. nips 2023: [doi]

Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport PerspectiveLiangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan. icml 2023: 31408-31421 [doi]

Adaptive Embedding and Distribution Re-margin for Long-Tail RecognitionYulin Su, Boan Chen, Ziming Feng, Junchi Yan. icann 2023: 38-50 [doi]

Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio BalancingYulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan. icip 2023: 430-434 [doi]

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive SequencingPeiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen 0031, Mingxuan Yuan, Jianye Hao, Junchi Yan. iccad 2023: 1-9 [doi]

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning ApproachHaoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan. IJCAI 2023: 1460-1469 [doi]

DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion ToolingXiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan. pami, 45(11):13974-13990, November 2023. [doi]

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingHuijie Wang, Tianyu Li, Yang Li, Li Chen, Chonghao Sima, Zhenbo Liu, Bangjun Wang, Peijin Jia, YuTing Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Hongyang Li. nips 2023: [doi]

Transformers in Time Series: A SurveyQingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun 0001. IJCAI 2023: 6778-6786 [doi]

Policy Pre-training for Autonomous Driving via Self-supervised Geometric ModelingPenghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao 0006. iclr 2023: [doi]

Energy-based Out-of-Distribution Detection for Graph Neural NetworksQitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan. iclr 2023: [doi]

QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum AlgorithmsWenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan. icml 2023: 37745-37764 [doi]

Simplifying and Empowering Transformers for Large-Graph RepresentationsQitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan. nips 2023: [doi]

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained DiffusionQitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan. iclr 2023: [doi]

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video SummarizationWujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo 0005, Zhenfeng Zhu, Junchi Yan. icassp 2023: 1-5 [doi]

Quantum 3D Graph Learning with Applications to Molecule EmbeddingGe Yan, Huaijin Wu, Junchi Yan. icml 2023: 39126-39137 [doi]

Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPsChenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan. iclr 2023: [doi]

MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation LearningNianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan. WWW 2023: 4075-4085 [doi]

Learning Deep Generative Clustering via Mutual Information MaximizationXiaojiang Yang, Junchi Yan, Yu Cheng, Yizhe Zhang. tnn, 34(9):6263-6275, September 2023. [doi]

VQNE: Variational Quantum Network Embedding with Application to Network AlignmentXinyu Ye, Ge Yan, Junchi Yan. kdd 2023: 3105-3115 [doi]

Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP SolverXinyu Ye, Ge Yan, Junchi Yan. icml 2023: 39903-39912 [doi]

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object DetectionYi Yu, Xue Yang, Qingyun Li, Yue Zhou 0005, Feipeng Da, Junchi Yan. nips 2023: [doi]

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL EnvironmentJianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan. iccad 2023: 1-9 [doi]

Distilling Focal Knowledge from Imperfect Expert for 3D Object DetectionJia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li. cvpr 2023: 992-1001 [doi]

Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation LearningShaofeng Zhang, Feng Zhu 0006, Rui Zhao 0001, Junchi Yan. iclr 2023: [doi]

Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series ForecastingYunhao Zhang, Junchi Yan. iclr 2023: [doi]

Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual PretrainingShaofeng Zhang, Feng Zhu 0006, Rui Zhao 0001, Junchi Yan. iclr 2023: [doi]

Patch-level Contrastive Learning via Positional Query for Visual Pre-trainingShaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan. icml 2023: 41990-41999 [doi]

Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation CombinationTianqi Zhang, Qitian Wu, Junchi Yan. tnn, 34(8):5144-5155, August 2023. [doi]

A survey for solving mixed integer programming via machine learningJiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan. ijon, 519:205-217, 2023. [doi]

GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural NetworksWentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan. kdd 2023: 3525-3536 [doi]

Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature ConnectivityZhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu. nips 2023: [doi]

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