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Junchi Yan
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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]