Junchi Yan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 488

Top Venues

Publications

Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao
Poisson Process for Bayesian Optimization. CoRR (2024)
Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. ACL (Findings) (2024)
Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. CoRR (2024)
Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang
Towards Vision-Language Geo-Foundation Model: A Survey. CoRR (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR (2024)
Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR (2024)
Liangliang Shi, Zhaoqi Shen, Junchi Yan
Double-Bounded Optimal Transport for Advanced Clustering and Classification. CoRR (2024)
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. WWW (2024)
Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR (2024)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GeoMix: Towards Geometry-Aware Data Augmentation. CoRR (2024)
Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. ICLR (2024)
Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR (2024)
Ge Yan, Wenjie Wu, Chen Yuheng, Kaisen Pan, Xudong Lu, Zhou Zixiang, Wang Yuhan, Ruocheng Wang, Junchi Yan
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. CoRR (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI (2024)
Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. CoRR (2024)
Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR (2024)
Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan
Alpharotate: A Rotation Detection Benchmark Using Tensorflow. ICASSP (2024)
Yiting Chen, Zhanpeng Zhou, Junchi Yan
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR (2024)
Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR (2024)
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. ICLR (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan
Learning Divergence Fields for Shift-Robust Graph Representations. CoRR (2024)
Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan
LinSATNet: The Positive Linear Satisfiability Neural Networks. CoRR (2024)
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR (2024)
Han Zhao, Xu Yang, Cheng Deng, Junchi Yan
Dynamic Reactive Spiking Graph Neural Network. AAAI (2024)
Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. ICLR (2024)
Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR (2024)
Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization. CoRR (2024)
Liangliang Shi, Zhaoqi Shen, Junchi Yan
Double-Bounded Optimal Transport for Advanced Clustering and Classification. AAAI (2024)
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR (2024)
Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. ICLR (2024)
Tianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Guolong Wang, Xun Wu, Junchi Yan
Progressive reinforcement learning for video summarization. Inf. Sci. 655 (2024)
Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. ICLR (2024)
Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR (2024)
Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR (2024)
Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan
Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach. CoRR (2024)
Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. CoRR (2024)
Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan
Efficient Architecture Search for Real-Time Instance Segmentation. ICASSP (2024)
Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach. CoRR (2024)
Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR (2024)
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. ACL (1) (2024)
Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
Graph Out-of-Distribution Generalization via Causal Intervention. CoRR (2024)
Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. KDD (2024)
Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan
View Crafting For Instance-Level Representation from Scene Images. ICASSP (2024)
Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR (2024)
Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li
TerDiT: Ternary Diffusion Models with Transformers. CoRR (2024)
Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. AAAI (2024)
Shen Cai, Zhanhao Wu, Lingxi Guo, Jiachun Wang, Siyu Zhang, Junchi Yan, Shuhan Shen
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. CoRR (2024)
Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
Boundary Matters: A Bi-Level Active Finetuning Framework. CoRR (2024)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GeoMix: Towards Geometry-Aware Data Augmentation. KDD (2024)
Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR (2024)
Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. ICLR (2024)
Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan
Grounding and Enhancing Grid-based Models for Neural Fields. CoRR (2024)
Ying Zeng, Yushi Chen, Xue Yang, Qingyun Li, Junchi Yan
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR (2024)
Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CoRR (2024)
Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. CoRR (2024)
Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
GMTR: Graph Matching Transformers. ICASSP (2024)
Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR (2024)
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR (2024)
Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma
Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR (2024)
Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu
Knowledge Graph Supported Benchmark and Video Captioning for Basketball. CoRR (2024)
Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan
Graph Out-of-Distribution Generalization via Causal Intervention. WWW (2024)
Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. CoRR (2024)
Qitian Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. ICLR (2023)
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 (2023)
Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun
Transformers in Time Series: A Survey. IJCAI (2023)
Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR (2023)
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) (2023)
Zhenjie Yang, Xiaosong Jia, Hongyang Li, Junchi Yan
A Survey of Large Language Models for Autonomous Driving. CoRR (2023)
Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR (2023)
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)
Yulin Su, Boan Chen, Ziming Feng, Junchi Yan
Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. ICANN (8) (2023)
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)
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) (2023)
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)
Yichen Xie, Han Lu, Junchi Yan, Xiaokang Yang, Masayoshi Tomizuka, Wei Zhan
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm. CVPR (2023)
Shaobo Wang, Xiangdong Zhang, Junchi Yan
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework. CoRR (2023)
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)
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. ICCV (2023)
Ziyu Wang, Wenhao Jiang, Zixuan Zhang, Wei Tang, Junchi Yan
RigLSTM: Recurrent Independent Grid LSTM for Generalizable Sequence Learning. CoRR (2023)
Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE (2023)
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 (2023)
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. CoRR (2023)
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 (2023)
Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks. CoRR (2023)
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 (2023)
Runzhong Wang, Ziao Guo, Shaofei Jiang, Xiaokang Yang, Junchi Yan
Deep Learning of Partial Graph Matching via Differentiable Top-K. CVPR (2023)
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 (2023)
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 (2023)
Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity. NeurIPS (2023)
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 (2023)
Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning. ICLR (2023)
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)
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)
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) (2023)
Hao Xiong, Junchi Yan, Zengfeng Huang
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Hongyang Li, Yang Li, Huijie Wang, Jia Zeng, Pinlong Cai, Huilin Xu, Dahua Lin, Junchi Yan, Feng Xu, Lu Xiong, Jingdong Wang, Futang Zhu, Kai Yan, Chunjing Xu, Tiancai Wang, Beipeng Mu, Shaoqing Ren, Zhihui Peng, Yu Qiao
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future. CoRR (2023)
Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junchi Yan