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2020 – today
- 2023
[j63]Wenxuan Guo
, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. 20(5): 640-655 (2023)- [j62]Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan:
A survey for solving mixed integer programming via machine learning. Neurocomputing 519: 205-217 (2023) - [j61]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 178:1-178:75 (2023) - [j60]Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2384-2399 (2023) - [j59]Xue Yang, Gefan Zhang, Xiaojiang Yang, Yue Zhou, Wentao Wang, Jin Tang, Tao He, Junchi Yan:
Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4335-4354 (2023) - [j58]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6984-7000 (2023) - [j57]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10500-10518 (2023) - [j56]Xiaosong Jia, Penghao Wu, Li Chen, Yu Liu, Hongyang Li, Junchi Yan:
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13860-13875 (2023) - [j55]Xiaoxing Wang, Zhirui Lian, Jiale Lin, Chao Xue, Junchi Yan:
DIY Your EasyNAS for Vision: Convolution Operation Merging, Map Channel Reducing, and Search Space to Supernet Conversion Tooling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13974-13990 (2023) - [j54]Xuemin Hu, Yanfang Liu, Bo Tang, Junchi Yan, Long Chen:
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 24(11): 11921-11933 (2023) - [j53]Hao Xiong, Junchi Yan, Zengfeng Huang:
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. 35(5): 5017-5034 (2023) - [j52]Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang:
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. IEEE Trans. Knowl. Data Eng. 35(6): 6058-6072 (2023) - [j51]Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang:
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. IEEE Trans. Knowl. Data Eng. 35(7): 7118-7137 (2023) - [j50]Min Cao, Cong Ding, Chen Chen, Hao Dou, Xiyuan Hu, Junchi Yan:
Progressive Context-Aware Graph Feature Learning for Target Re-Identification. IEEE Trans. Multim. 25: 1230-1242 (2023) - [j49]Junchi Yan, Hongteng Xu, Liangda Li, Mehrdad Farajtabar, Xiaokang Yang:
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1634-1638 (2023) - [j48]Tianqi Zhang, Qitian Wu, Junchi Yan:
Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5144-5155 (2023) - [j47]Xiaojiang Yang, Junchi Yan, Yu Cheng, Yizhe Zhang:
Learning Deep Generative Clustering via Mutual Information Maximization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6263-6275 (2023) - [j46]Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Xiaokang Yang:
Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8566-8578 (2023) - [c220]Fangyu Ding, Junchi Yan, Haiyang Wang:
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process. AAAI 2023: 7369-7377 - [c219]Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 436-438 - [c218]Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li:
Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection. CVPR 2023: 992-1001 - [c217]Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan:
Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR 2023: 6272-6281 - [c216]Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li:
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CVPR 2023: 21983-21994 - [c215]Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan:
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CVPR 2023: 23715-23724 - [c214]Yulin Su, Boan Chen, Ziming Feng, Junchi Yan:
Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. ICANN (8) 2023: 38-50 - [c213]Bin Liu, Fengfu Li, Xiaogang Wang, Bo Zhang, Junchi Yan:
Ternary Weight Networks. ICASSP 2023: 1-5 - [c212]Wujiang Xu, Runzhong Wang, Xiaobo Guo, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Zhenfeng Zhu, Junchi Yan:
MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. ICASSP 2023: 1-5 - [c211]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE 2023: 3763-3764 - [c210]Yulin Su, Liangliang Shi, Ziming Feng, Pengzhi Chu, Junchi Yan:
Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing. ICIP 2023: 430-434 - [c209]Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, Qi Tian:
The KFIoU Loss for Rotated Object Detection. ICLR 2023 - [c208]Xue Yang, Gefan Zhang, Wentong Li, Yue Zhou, Xuehui Wang, Junchi Yan:
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection. ICLR 2023 - [c207]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. ICLR 2023 - [c206]Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan:
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR 2023 - [c205]Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan:
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR 2023 - [c204]Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan:
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case. ICLR 2023 - [c203]Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao:
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling. ICLR 2023 - [c202]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. ICLR 2023 - [c201]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR 2023 - [c200]Chenxiao Yang, Qitian Wu, Jiahua Wang, Junchi Yan:
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs. ICLR 2023 - [c199]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining. ICLR 2023 - [c198]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. ICLR 2023 - [c197]Yunhao Zhang, Junchi Yan:
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting. ICLR 2023 - [c196]Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan:
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark. ICML 2023: 22880-22898 - [c195]Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan:
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. ICML 2023: 31408-31421 - [c194]Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan:
LinSATNet: The Positive Linear Satisfiability Neural Networks. ICML 2023: 36605-36625 - [c193]Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan:
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms. ICML 2023: 37745-37764 - [c192]Ge Yan, Huaijin Wu, Junchi Yan:
Quantum 3D Graph Learning with Applications to Molecule Embedding. ICML 2023: 39126-39137 - [c191]Xinyu Ye, Ge Yan, Junchi Yan:
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver. ICML 2023: 39903-39912 - [c190]Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan:
Patch-level Contrastive Learning via Positional Query for Visual Pre-training. ICML 2023: 41990-41999 - [c189]Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan:
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI 2023: 1460-1469 - [c188]Yang Li, Liangliang Shi, Junchi Yan:
IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. IJCAI 2023: 3929-3938 - [c187]Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun:
Transformers in Time Series: A Survey. IJCAI 2023: 6778-6786 - [c186]Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan:
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD 2023: 518-530 - [c185]Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan:
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD 2023: 531-543 - [c184]Huaqing Shao, Lanjun Wang, Junchi Yan:
Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. KDD 2023: 2010-2022 - [c183]Xinyu Ye, Ge Yan, Junchi Yan:
VQNE: Variational Quantum Network Embedding with Application to Network Alignment. KDD 2023: 3105-3115 - [c182]Jianyong Yuan, Jiayi Zhang, Zinuo Cai, Junchi Yan:
Towards Variance Reduction for Reinforcement Learning of Industrial Decision-making Tasks: A Bi-Critic based Demand-Constraint Decoupling Approach. KDD 2023: 3162-3172 - [c181]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. KDD 2023: 3525-3536 - [c180]Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan:
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD 2023: 4414-4425 - [c179]Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia 2023: 1157-1166 - [c178]Wenxuan Liu, Tianyao He, Chen Gong, Ning Zhang, Hua Yang, Junchi Yan:
Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset. ACM Multimedia 2023: 8839-8848 - [c177]Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan:
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. WWW 2023: 4075-4085 - [i149]Penghao Wu, Li Chen, Hongyang Li, Xiaosong Jia, Junchi Yan, Yu Qiao:
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling. CoRR abs/2301.01006 (2023) - [i148]Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan:
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. CoRR abs/2301.09474 (2023) - [i147]Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan:
Energy-based Out-of-Distribution Detection for Graph Neural Networks. CoRR abs/2302.02914 (2023) - [i146]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. CoRR abs/2302.03933 (2023) - [i145]Ying Zeng, Xue Yang, Qingyun Li, Yushi Chen, Junchi Yan:
ARS-DETR: Aspect Ratio Sensitive Oriented Object Detection with Transformer. CoRR abs/2303.04989 (2023) - [i144]Ning Liao, Bowen Shi, Min Cao, Xiaopeng Zhang, Qi Tian, Junchi Yan:
Rethinking Visual Prompt Learning as Masked Visual Token Modeling. CoRR abs/2303.04998 (2023) - [i143]Ning Liao, Xiaopeng Zhang, Min Cao, Qi Tian, Junchi Yan:
R-Tuning: Regularized Prompt Tuning in Open-Set Scenarios. CoRR abs/2303.05122 (2023) - [i142]Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan:
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR abs/2303.12341 (2023) - [i141]Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan:
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CoRR abs/2303.14382 (2023) - [i140]Linyan Huang, Huijie Wang, Jia Zeng, Shengchuan Zhang, Liujuan Cao, Junchi Yan, Hongyang Li:
Geometric-aware Pretraining for Vision-centric 3D Object Detection. CoRR abs/2304.03105 (2023) - [i139]Yi Yu, Xue Yang, Qingyun Li, Yue Zhou, Gefan Zhang, Feipeng Da, Junchi Yan:
H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning. CoRR abs/2304.04403 (2023) - [i138]Tianyu Li, Li Chen, Xiangwei Geng, Huijie Wang, Yang Li, Zhenbo Liu, Shengyin Jiang, Yuting Wang, Hang Xu, Chunjing Xu, Feng Wen, Ping Luo, Junchi Yan, Wei Zhang, Xiaogang Wang, Yu Qiao, Hongyang Li:
Topology Reasoning for Driving Scenes. CoRR abs/2304.05277 (2023) - [i137]Huijie Wang, Zhenbo Liu, Yang Li, Tianyu Li, Li Chen, Chonghao Sima, Yuting Wang, Shengyin Jiang, Feng Wen, Hang Xu, Ping Luo, Junchi Yan, Wei Zhang, Jun Yao, Yu Qiao, Hongyang Li:
Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving. CoRR abs/2304.10440 (2023) - [i136]Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou:
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. CoRR abs/2305.04297 (2023) - [i135]Xiaosong Jia, Penghao Wu, Li Chen, Jiangwei Xie, Conghui He, Junchi Yan, Hongyang Li:
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving. CoRR abs/2305.06242 (2023) - [i134]Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan:
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. CoRR abs/2306.08385 (2023) - [i133]Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan:
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR abs/2306.10759 (2023) - [i132]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR abs/2306.11264 (2023) - [i131]Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan:
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. CoRR abs/2306.13337 (2023) - [i130]Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu:
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. CoRR abs/2307.08286 (2023) - [i129]Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li:
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. CoRR abs/2308.00398 (2023) - [i128]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. CoRR abs/2309.05527 (2023) - [i127]Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao:
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. CoRR abs/2309.10527 (2023) - [i126]Renqiu Xia, Bo Zhang, Haoyang Peng, Ning Liao, Peng Ye, Botian Shi, Junchi Yan, Yu Qiao:
StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding. CoRR abs/2309.11268 (2023) - [i125]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space. CoRR abs/2310.05105 (2023) - [i124]Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael Bronstein, Junchi Yan:
Advective Diffusion Transformers for Topological Generalization in Graph Learning. CoRR abs/2310.06417 (2023) - [i123]Ning Liao, Shaofeng Zhang, Renqiu Xia, Bo Zhang, Min Cao, Yu Qiao, Junchi Yan:
REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets. CoRR abs/2310.06594 (2023) - [i122]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. CoRR abs/2310.06756 (2023) - [i121]Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan:
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. CoRR abs/2310.18444 (2023) - [i120]Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan:
LLM4Drive: A Survey of Large Language Models for Autonomous Driving. CoRR abs/2311.01043 (2023) - [i119]Ziyu Wang, Wenhao Jiang, Zixuan Zhang, Wei Tang, Junchi Yan:
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning. CoRR abs/2311.02123 (2023) - [i118]Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan:
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. CoRR abs/2311.04590 (2023) - [i117]Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan:
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems. CoRR abs/2311.07633 (2023) - [i116]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. CoRR abs/2311.08141 (2023) - [i115]Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan:
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR abs/2311.10483 (2023) - [i114]Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li:
PointOBB: Learning Oriented Object Detection via Single Point Supervision. CoRR abs/2311.14757 (2023) - [i113]Yu Yi, Xue Yang, Qingyun Li, Feipeng Da, Junchi Yan, Jifeng Dai, Yu Qiao:
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision. CoRR abs/2311.14758 (2023) - [i112]Shaobo Wang, Xiangdong Zhang, Junchi Yan:
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR abs/2311.15993 (2023) - 2022
- [j45]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(2): 50 (2022) - [j44]Tao Yin, Xingbo Du, Weipeng Zhang, Yunan Zhao, Bing Han, Junchi Yan:
Real-Trading-Oriented Price Prediction With Explainable Multiobjective Optimization in Quantitative Trading. IEEE Access 10: 57685-57695 (2022) - [j43]Xue Yang, Junchi Yan:
On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. 130(5): 1340-1365 (2022) - [j42]Xue Yang, Junchi Yan:
Correction to: On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited. Int. J. Comput. Vis. 130(7): 1873-1874 (2022) - [j41]Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang:
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU. Proc. ACM Hum. Comput. Interact. 6(MHCI): 1-22 (2022) - [j40]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5261-5279 (2022) - [j39]Weipeng Zhang, Ning Zhang, Junchi Yan, Guofu Li, Xiaokang Yang:
Auto uning of price prediction models for high-frequency trading via reinforcement learning. Pattern Recognit. 125: 108543 (2022) - [j38]