Junyu Luo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
20
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing. | Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang |
| 2026 | AAAI | BAMAS: Structuring Budget-Aware Multi-Agent Systems. | Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen |
| 2026 | ACL | SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models. | Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang |
| 2026 | ACL | A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. | Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo |
| 2026 | KDD | DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation. | Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo |
| 2026 | WWW | Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts. | Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang |
| 2025 | AAAI | Attention Bootstrapping for Multi-Modal Test-Time Adaptation. | Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang |
| 2025 | AAAI | TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. | Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | ACL | FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. | Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo |
| 2025 | ACL | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. | Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang |
| 2025 | ACL | Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. | Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Yuxing Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng |
| 2025 | EMNLP | Automate Strategy Finding with LLM in Quant Investment. | Zhizhuo Kou, Holam Yu, Junyu Luo, Jingshu Peng, Xujia Li, Chengzhong Liu, Juntao Dai, Lei Chen, Sirui Han, Yike Guo |
| 2025 | EMNLP | A Survey of RAG-Reasoning Systems in Large Language Models. | Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu |
| 2025 | EMNLP | Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. | Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang |
| 2025 | ICML | Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. | Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang |
| 2025 | ICML | Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes. | Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | INDIN | Deep Embedded Clustering Based on Stacked Autoencoder with Jointly Improved Loss for Daily Coal Mine Load. | Junyu Luo, Huaiping Jin, Haining Wang, Shuangliang Tian, Nanjun Li |
| 2025 | KDD | Future Matters for Present: Towards Effective Physical Simulation over Meshes. | Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun |
| 2025 | NAACL | Semi-supervised Fine-tuning for Large Language Models. | Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2024 | ACL | Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma |
| 2024 | COLING | CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. | Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma |
| 2024 | EMNLP | Zero-Resource Hallucination Prevention for Large Language Models. | Junyu Luo, Cao Xiao, Fenglong Ma |
| 2024 | ICDE | Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation. | Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui |
| 2024 | IJCAI | Rank and Align: Towards Effective Source-free Graph Domain Adaptation. | Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang |
| 2024 | IJCAI | Recent Advances in Predictive Modeling with Electronic Health Records. | Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma |
| 2024 | IJCAI | A Survey of Data-Efficient Graph Learning. | Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang |
| 2024 | SIGIR | Clinical Trial Retrieval via Multi-grained Similarity Learning. | Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma |
| 2023 | CIKM | ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. | Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma |
| 2023 | CIKM | pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. | Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma |
| 2023 | EMNLP | Hierarchical Pretraining on Multimodal Electronic Health Records. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma |
| 2022 | COLING | Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. | Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma |
| 2022 | CVPR | 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection. | Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu |
| 2022 | ICDM | MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. | Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma |
| 2021 | ACL | Fusion: Towards Automated ICD Coding via Feature Compression. | Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma |
| 2021 | CIKM | FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update. | Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao |
| 2021 | CIKM | MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | KDD | Advances in Mining Heterogeneous Healthcare Data. | Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun |
| 2021 | WWW | MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2021 | WACV | ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework. | Junyu Luo, Zekun Li, Jinpeng Wang, Chin-Yew Lin |
| 2020 | CIKM | LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. | Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma |
| 2020 | DAC | SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training. | Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen, Weisheng Zhao |
| 2020 | ECCV | Accelerating CNN Training by Pruning Activation Gradients. | Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen |
| 2020 | ICPR | Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection. | Junyu Luo, Jinpeng Wang, Chin-Yew Lin |
| 2020 | KDD | HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. | Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma |
| 2019 | AAAI | Learning Document Embeddings with Crossword Prediction. | Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai |
| 2019 | CIKM | Cross-modal Image-Text Retrieval with Multitask Learning. | Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang |
| 2018 | WWW | Multi-task Learning for Author Profiling with Hierarchical Features. | Zhile Jiang, Shuai Yu, Qiang Qu, Min Yang, Junyu Luo, Juncheng Liu |
| 2017 | ICONIP | Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. | Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv |