| 2026 | AAAI | LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation. | Hao Jiang, Guoquan Wang, Donglin Zhou, Sheng Yu, Yang Zeng, Wencong Zeng, Kun Gai, Guorui Zhou |
| 2026 | AAAI | GraphGrasp: Lightweight and Efficient Graph-Guided 6-DoF Robotic Grasp Pose Estimation Network. | Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2026 | SIGIR | ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation. | Hao Jiang, Long Zhang, Guoquan Wang, Sheng Yu, Yang Zeng, Wencong Zeng, Fei Pan, Peng Jiang, Guorui Zhou |
| 2025 | AAAI | KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints. | Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2025 | IROS | RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance. | Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2025 | ICRA | Rapid Dynamic Obstacle Avoidance for UAVs Enhanced by DVS and Neuromorphic Computing. | Siyang Wang, Sheng Yu, Tingbang Liang, Yilin Shi, Yongqiang Ma, Pengju Ren |
| 2025 | RAID | On the Effectiveness of Custom Transformers for Binary Analysis. | Xuezixiang Li, Lian Gao, Sheng Yu, Yu Qu, Heng Yin |
| 2024 | AAAI | CatFormer: Category-Level 6D Object Pose Estimation with Transformer. | Sheng Yu, Di-Hua Zhai, Yuanqing Xia |
| 2024 | DSN | On the Correctness of Metadata-Based SBOM Generation: A Differential Analysis Approach. | Sheng Yu, Wei Song, Xunchao Hu, Heng Yin |
| 2024 | ISCAS | GraSS: Graph Neural Networks for Loop Closure Detection with Semantic and Spatial Assistance. | Shihang Lu, Zhuolin Peng, Zhuoling Xiao, Bo Yan, Shuisheng Lin, Sheng Yu, Di He |
| 2024 | NDSS | SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing. | Lian Gao, Yu Qu, Sheng Yu, Yue Duan, Heng Yin |
| 2023 | CGI | Op-PSA: An Instance Segmentation Model for Occlusion of Garbage. | Sheng Yu, Fei Ye |
| 2023 | ICONIP | MRRC: Multi-agent Reinforcement Learning with Rectification Capability in Cooperative Tasks. | Sheng Yu, Wei Zhu, Shuhong Liu, Zhengwen Gong, Haoran Chen |
| 2023 | KSEM | PRACM: Predictive Rewards for Actor-Critic with Mixing Function in Multi-Agent Reinforcement Learning. | Sheng Yu, Bo Liu, Wei Zhu, Shuhong Liu |
| 2022 | ACL | An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection. | Shengxuan Luo, Sheng Yu |
| 2022 | NAACL | Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity Recognition. | Huaiyuan Ying, Shengxuan Luo, Tiantian Dang, Sheng Yu |
| 2022 | NAACL | Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning. | Hongyi Yuan, Zheng Yuan, Sheng Yu |
| 2019 | IWCMC | Emergent LBS: If GNSS Fails, How Can 5G-enabled Vehicles Get Locations Using Fogs? | Sheng Yu, Jianhua Li, Jun Wu |
| 2018 | AMIA | High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS. | Katherine P. Liao, Jiehuan Sun, Tianrun A. Cai, Nicholas B. Link, Chuan Hong, Jie Huang, Jennifer E. Huffman, Jessica L. Gronsbell, Lauren Costa, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, John Michael Gaziano, Kelly Cho, Peter Szolovits, Isaac S. Kohane, Sheng Yu, Tianxi Cai |
| 2017 | AMIA | High-throughput Phenotyping via Denoised Normal Mixture Transformation. | Sheng Yu, Yumeng Ma, Jessica L. Gronsbell, Katherine P. Liao, Tianrun A. Cai, Ashwin N. Ananthakrishnan, Vivian S. Gainer, Susanne E. Churchill, Peter Szolovits, Shawn N. Murphy, Isaac S. Kohane, Tianxi Cai |
| 2015 | AMIA | Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records. | Uri Kartoun, Vishesh Kumar, Su-Chun Cheng, Sheng Yu, Katherine P. Liao, Elizabeth W. Karlson, Ashwin N. Ananthakrishnan, Zongqi Xia, Vivian S. Gainer, Andrew Cagan, Guergana Savova, Pei J. Chen, Shawn N. Murphy, Susanne E. Churchill, Isaac S. Kohane, Peter Szolovits, Tianxi Cai, Stanley Y. Shaw |
| 2015 | AMIA | Computable Phenotypes enabled by the i2b2 Validation Platform. | Shawn N. Murphy, Vivian S. Gainer, Victor M. Castro, Alyssa P. Goodson, Lori C. Phillips, Sheng Yu, Tianxi Cai |
| 2014 | BIBE | Analysis of the Suitability of Existing Medical Ontologies for Building a Scalable Semantic Interoperability Solution Supporting Multi-site Collaboration in Oncology. | Ahmed Ibrahim, Anca I. D. Bucur, Andre Dekker, M. Scott Marshall, David Prez-Rey, Ral Alonso-Calvo, Holger Stenzhorn, Sheng Yu, Cyril Krykwinski, Anouar Laarif, Keyur Mehta |
| 2014 | GLOBECOM | Informative mobility scheduling for mobile data collector in wireless sensor networks. | Sheng Yu, Jie Hao, Baoxian Zhang, Cheng Li |
| 2014 | GLOBECOM | A lightweight ring-based routing protocol for wireless sensor networks with mobile sinks. | Sheng Yu, Dezhong Shang, Zheng Yao, Baoxian Zhang, Cheng Li |
| 2013 | CIS | Pedestrian Counting for a Large Scene Using a GigaPan Panorama and Exemplar-SVMs. | Shaoming Zhang, Sheng Yu, Qingyu Ma, Pengchao Shang, Popo Gui, Jianmei Wang, Tiantian Feng |
| 2013 | COCOA | An Optimal Single-Machine Scheduling with Linear Deterioration Rate and Rate-Modifying Activities. | Sheng Yu |
| 2012 | TAMC | Online Makespan Scheduling of Linear Deteriorating Jobs on Parallel Machines. | Sheng Yu, Jude-Thaddeus Ojiaku, Prudence W. H. Wong, Yinfeng Xu |
| 2011 | CBMS | Performance analysis and assessment of a tf-idf based archetype-SNOMED-CT binding algorithm. | Sheng Yu, Damon Berry, Jess Bisbal |
| 2011 | COCOA | Optimal Policy for Single-Machine Scheduling with Deterioration Effects, Learning Effects, Setup Times, and Availability Constraints. | Sheng Yu, Yinfeng Xu, Ming Liu, Feifeng Zheng |
| 2011 | DLT | State Complexity Research and Approximation. | Sheng Yu, Yuan Gao |
| 2011 | LATA | Undecidability of the State Complexity of Composed Regular Operations. | Arto Salomaa, Kai Salomaa, Sheng Yu |
| 2009 | LATA | State Complexity of Combined Operations for Prefix-Free Regular Languages. | Yo-Sub Han, Kai Salomaa, Sheng Yu |
| 2008 | LATA | Length Codes, Products of Languages and Primality. | Arto Salomaa, Kai Salomaa, Sheng Yu |
| 2007 | LATA | State Complexity of Basic Operations Combined with Reversal. | Guangwu Liu, Carlos Martn-Vide, Arto Salomaa, Sheng Yu |
| 2006 | DLT | On Weakly Ambiguous Finite Transducers. | Nicolae Santean, Sheng Yu |
| 2005 | CPM | Reducing the Size of NFAs by Using Equivalences and Preorders. | Lucian Ilie, Roberto Solis-Oba, Sheng Yu |
| 2004 | PDPTA | Process Traces With the Option Operation. | Sheng Yu, Qing Zhao |
| 2003 | PDPTA | Introduction to Process Traces. | Lucian Ilie, Sheng Yu, Qing Zhao |
| 2003 | STACS | Fast Algorithms for Extended Regular Expression Matching and Searching. | Lucian Ilie, Baozhen Shan, Sheng Yu |
| 2002 | COCOON | Repetition Complexity of Words. | Lucian Ilie, Sheng Yu, Kaizhong Zhang |
| 2002 | CPM | Constructing NFA s by Optimal Use of Positions in Regular Expressions. | Lucian Ilie, Sheng Yu |
| 2002 | MFCS | Algorithms for Computing Small NFAs. | Lucian Ilie, Sheng Yu |
| 2001 | DLT | Minimal Covers of Formal Languages. | Michael Domaratzki, Jeffrey O. Shallit, Sheng Yu |
| 1999 | DLT | On the decomposition of finite languages. | Arto Salomaa, Sheng Yu |
| 1998 | MCU | Using DNA to solve the Bounded Post Correspondence Problem. | Lila Kari, Greg Gloor, Sheng Yu |
| 1997 | DLT | Decidability of fairness for context-free languages. | Alexandru Mateescu, Kai Salomaa, Sheng Yu |
| 1995 | DLT | Nondeterminism Degrees for Context-Free Languages. | Kai Salomaa, Sheng Yu |
| 1994 | MFCS | Complexity of E0L Structural Equivalence. | Kai Salomaa, Derick Wood, Sheng Yu |
| 1993 | FCT | Structural Equivalences and ET0L Grammars (Extended Abstract). | Kai Salomaa, Derick Wood, Sheng Yu |
| 1993 | ICALP | Inclusion is Undecidable for Pattern Languages. | Tao Jiang, Arto Salomaa, Kai Salomaa, Sheng Yu |
| 1992 | ICCI | Obtaining Tight Upper Bounds for the State Complexities of DFA Operations. | Sheng Yu, Qingyu Zhuang, Kai Salomaa |
| 1992 | MFCS | Characterizing Regular Languages with Polynomial Densities. | Andrew Szilard, Sheng Yu, Kaizhong Zhang, Jeffrey O. Shallit |
| 1992 | SAC | Iterative tree automata, alternating Turing machines, and uniform Boolean circuits: relationships and characterization. | Abdelaziz Fellah, Sheng Yu |
| 1991 | COMPSAC | ParC project: practical constructs for parallel programming languages. | R. Govindarajan, Lifu Guo, Sheng Yu, P. Wang |
| 1991 | FCT | Degrees of Nondeterminism for Pushdown Automata. | Kai Salomaa, Sheng Yu |
| 1985 | ICPP | Translation of Systolic Algorithms between Systems of Different Topology. | Karel Culk II, Sheng Yu |