Yu Meng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
86
Venues
30
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*KDD10 papers
- CIGARSS10 papers
- AMICCAI8 papers
- A*EMNLP7 papers
- A*WWW6 papers
- A*ICLR5 papers
- AWSDM5 papers
- A*ACL4 papers
- A*ICML3 papers
- A*ICDM3 papers
- NationalGRC3 papers
- A*AAAI2 papers
- ANAACL2 papers
- CICMLA2 papers
- BIJCNN1 paper
- BACCV1 paper
- A*CVPR1 paper
- CGPC1 paper
- NationalWSC1 paper
- CHPCC1 paper
- A*SIGIR1 paper
- BFPL1 paper
- ACIKM1 paper
- A*ICRA1 paper
- CPDCAT1 paper
- CBSN1 paper
- NationalICIG1 paper
- MulticonferenceICCS1 paper
- BPAKDD1 paper
- NationalICNC1 paper
Papers
86 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards Aligned and Efficient Large Language Models. | Yu Meng |
| 2026 | ACL | Aligning Large Language Models via Fully Self-Synthetic Data. | Shangjian Yin, Zhepei Wei, Xinyu Zhu, Wei-Lin Chen, Yu Meng |
| 2025 | EMNLP | Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. | Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li |
| 2025 | ICLR | InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales. | Zhepei Wei, Wei-Lin Chen, Yu Meng |
| 2025 | ICML | LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. | Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan . Arik |
| 2025 | ICML | AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism. | Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng |
| 2025 | IJCNN | DOA: Advancing Cross-View Geo-Localization via Domain and Objective Alignment. | Yu Meng, Lei Sun |
| 2024 | ACCV | Diffusing Background Dictionary for Hyperspectral Anomaly Detection. | Yaochen Wu, Yu Meng, Lei Sun |
| 2024 | ACL | Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. | Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han |
| 2024 | CVPR | iToF-Flow-Based High Frame Rate Depth Imaging. | Yu Meng, Zhou Xue, Xu Chang, Xuemei Hu, Tao Yue |
| 2024 | EMNLP | Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. | Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen |
| 2024 | EMNLP | Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. | Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han |
| 2024 | GPC | AUV Cluster Obstacle Avoidance Algorithm Based on DHMATD3. | Yu Meng, Yuxi Wu |
| 2024 | ICLR | Representation Deficiency in Masked Language Modeling. | Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer |
| 2024 | ICLR | Evaluating Large Language Models at Evaluating Instruction Following. | Zhiyuan Zeng, Jiatong Yu, Tianyu Gao, Yu Meng, Tanya Goyal, Danqi Chen |
| 2023 | ACL | Patton: Language Model Pretraining on Text-Rich Networks. | Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han |
| 2023 | ACL | ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. | Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang |
| 2023 | EMNLP | PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. | Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han |
| 2023 | ICLR | Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. | Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han |
| 2023 | ICML | Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. | Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han |
| 2023 | KDD | Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. | Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han |
| 2023 | KDD | Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. | Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | WWW | SCStory: Self-supervised and Continual Online Story Discovery. | Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han |
| 2023 | WWW | The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. | Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han |
| 2023 | WSDM | FineSum: Target-Oriented, Fine-Grained Opinion Summarization. | Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han |
| 2023 | WSDM | Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. | Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han |
| 2022 | ICLR | Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. | Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song |
| 2022 | KDD | Adapting Pretrained Representations for Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | KDD | Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. | Jiaxin Huang, Yu Meng, Jiawei Han |
| 2022 | NAACL | Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. | Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han |
| 2022 | WWW | Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | WSDM | MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. | Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
| 2021 | EMNLP | Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han |
| 2021 | KDD | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2021 | KDD | UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. | Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang |
| 2021 | NAACL | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. | Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han |
| 2021 | WSC | Simulating Online Social Response: A Stimulus/Response Perspective. | Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, Gyrgy Korniss, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin |
| 2021 | WSDM | Hierarchical Metadata-Aware Document Categorization under Weak Supervision. | Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han |
| 2020 | EMNLP | Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. | Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han |
| 2020 | EMNLP | Text Classification Using Label Names Only: A Language Model Self-Training Approach. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han |
| 2020 | HPCC | DynaScale: An Intelligent Image Scale Selection Framework for Visual Matching in Smart IoT. | Bo-Lung Tsai, Kwei-Jay Lin, Yuheng Cao, Yu Meng |
| 2020 | ICDM | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2020 | KDD | CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. | Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han |
| 2020 | KDD | Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. | Yu Meng, Jiaxin Huang, Jiawei Han |
| 2020 | KDD | Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han |
| 2020 | WWW | Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. | Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han |
| 2020 | WWW | Discriminative Topic Mining via Category-Name Guided Text Embedding. | Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han |
| 2020 | SIGIR | Minimally Supervised Categorization of Text with Metadata. | Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han |
| 2020 | WSDM | Separate and Attend in Personal Email Search. | Yu Meng, Maryam Karimzadehgan, Honglei Zhuang, Donald Metzler |
| 2019 | AAAI | Weakly-Supervised Hierarchical Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2019 | FPL | A Data-Center FPGA Acceleration Platform for Convolutional Neural Networks. | Xiaoyu Yu, Jianlin Gao, Yuwei Wang, Jie Miao, Ephrem Wu, Heng Zhang, Yu Meng, Bo Zhang, Biao Min, Dewei Chen |
| 2019 | ICDM | HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. | Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han |
| 2019 | ICMLA | Through-Wall Pose Imaging in Real-Time with a Many-to-Many Encoder/Decoder Paradigm. | Kevin Meng, Yu Meng |
| 2018 | CIKM | Weakly-Supervised Neural Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2018 | ICMLA | Vehicle Action Prediction Using Artificial Intelligence. | Kevin Meng, Cheng Shi, Yu Meng |
| 2018 | ICRA | A Synchronization Scheme for Position Control of Multiple Rope-Climbing Robots. | Guangli Sun, Xiang Li, Peng Li, Yu Meng, Yang Zhou, Enzhi Xu, Yun-Hui Liu |
| 2017 | IGARSS | Decision tree coupled with feature optimization for object-based classification of ZY-1-02C satellite images. | Anzhi Yue, Yu Meng, Jiansheng Chen, Qingqing Huang, Chengyi Wang, Jingbo Chen, Dong-xu He |
| 2017 | IGARSS | Landslide change detection based on spatio-temporal context. | Qingqing Huang, Yu Meng, Jingbo Chen, Anzhi Yue, Lei Lin |
| 2017 | MICCAI | Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data. | Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information. | Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li |
| 2017 | MICCAI | 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation. | Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen |
| 2017 | MICCAI | Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity. | Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen |
| 2016 | IGARSS | Vehicles detection using GF-2 imagery based on watershed image segmentation. | Guofeng Wang, Yu Meng, Hichem Sahli, Anzhi Yue, Jiansheng Chen, Jingbo Chen, Dong-xu He, Bin Wu |
| 2016 | IGARSS | Improved snow cover monitoring method based on HJ-1B infrared data. | Qingqing Huang, Yu Meng, Jiancheng Li, Anzhi Yue, Jiansheng Chen, Xiaoyi Liu, Lei Lin |
| 2016 | IGARSS | Improving unsupervised flood detection with spatio-temporal context on HJ-1B CCD data. | Xiaoyi Liu, Jiancheng Li, Hichem Sahli, Yu Meng, Qingqing Huang |
| 2016 | MICCAI | Learning-Based Topological Correction for Infant Cortical Surfaces. | Shijie Hao, Gang Li, Li Wang, Yu Meng, Dinggang Shen |
| 2016 | MICCAI | Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset. | Yu Meng, Gang Li, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2016 | PDCAT | A Learning-Based System for Monitoring Electrical Load in Smart Grid. | Shugeng Ding, Yidong Li, Xiaolin Xu, Hongwei Xing, Zhen Wang, Liang Chen, Gang Wang, Yu Meng |
| 2015 | BSN | A model-based method to evaluate autonomic regulation of cardiovascular system. | Lang Wang, Zhipei Huang, Jian-Kang Wu, Yu Meng, Rongjing Ding |
| 2015 | ICIG | A Novel Control Point Dispersion Method for Image Registration Robust to Local Distortion. | Yuan Yuan, Yu Meng, Lei Lin, Jian Yang, Jingbo Chen, Anzhi Yue, Dong-xu He |
| 2015 | MICCAI | Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains. | Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen |
| 2015 | MICCAI | Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study. | Yu Meng, Gang Li, Weili Lin, John H. Gilmore, Dinggang Shen |
| 2012 | IGARSS | Fast detection of changed blocks in land use map. | Bin Wu, Jian Yang, Yu Meng, Jingbo Chen, Chengyi Wang, Dong-xu He, Jiansheng Chen |
| 2012 | IGARSS | The extraction of buildings elevation information on UAV DSM. | Jiansheng Chen, Yu Meng, Jian Yang, Jingbo Chen, Bin Wu |
| 2012 | IGARSS | A cloud detection method based on color model and undecimated wavelet transformation. | Dong-xu He, Yu Meng, Chengyi Wang, Jingbo Chen, Jian Yang |
| 2012 | IGARSS | Improved registration method for infrared and visible remote sensing image using NSCT and SIFT. | Qingqing Huang, Jian Yang, Chengyi Wang, Jingbo Chen, Yu Meng |
| 2011 | IGARSS | Contrast pyramid based image fusion scheme for infrared image and visible image. | Dong-xu He, Yu Meng, Chengyi Wang |
| 2006 | GRC | Online Mining of Risk Level of Traffic Anomalies with User~s Feedbacks. | Yu Meng, Margaret H. Dunham |
| 2006 | GRC | Rare Event Detection in a Spatiotemporal Environment. | Yu Meng, Margaret H. Dunham, Marco F. Marchetti, Jie Huang |
| 2006 | GRC | Collision detection for deforming linear objects using particle swarm optimization. | Yi Wang, Wenhui Li, Tianzhu Wang, Dongfeng Han, Yu Meng |
| 2006 | ICCS | An Evolution Computation Based Approach to Synthesize Video Texture. | Yu Meng, Wen-hui Li, Yan Wang, Wu Guo, Wei Pang |
| 2006 | PAKDD | Efficient Mining of Emerging Events in a Dynamic Spatiotemporal Environment. | Yu Meng, Margaret H. Dunham |
| 2005 | ICNC | Intelligent Mosaics Algorithm of Overlapping Images. | Yan Zhang, Wenhui Li, Yu Meng, Haixu Chen, Tong Wang |
| 2005 | KDD | Mining Significant Usage Patterns from Clickstream Data. | Lin Lu, Margaret H. Dunham, Yu Meng |
| 2004 | ICDM | Extensible Markov Model. | Margaret H. Dunham, Yu Meng, Jie Huang |