| 2026 | AAAI | CLER: Improving Multimodal Financial Reasoning by Cross-MLLM Error Reflection. | Shuangyan Deng, Zhongsheng Wang, Rui Mao, Ciprian Doru Giurcaneanu, Jiamou Liu |
| 2026 | AAAI | RefleXNet: Targeted Self-Reflection for Accurate Chest X-ray Reporting. | Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria |
| 2026 | AAAI | Are Language Models Any Good at Density Modeling? | Sriram Ranga, Sai Shashank Bedampeta, Rui Mao, Anupam Chattopadhyay |
| 2026 | AAAI | LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models. | Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria |
| 2026 | AAAI | MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning. | Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu |
| 2026 | ACL | Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View. | Hao Liao, Jiwei Zhang, Jianxun Lian, Wensheng Lu, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Mingyang Zhou, Rui Mao |
| 2026 | ACL | LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence. | Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria |
| 2026 | ACL | Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. | Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria |
| 2026 | ACL | GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models. | Ziyang Wang, Jiangfeng Xiao, Chuan Xiao, Ruoxiang Li, Rui Mao, Jianbin Qin |
| 2026 | ACL | MAXS: Meta-Adaptive Exploration with LLM Agents. | Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu |
| 2026 | ACL | Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement. | Qimin Zhong, Hao Liao, Haiming Qin, Mingyang Zhou, Rui Mao, Wei Chen, Naipeng Chao |
| 2026 | DASFAA | ExperMatch: A Unified Benchmark for Bidirectional and Cross-Domain Expertise Matching. | Wei Chen, Kaibin Chen, Yu-Xuan Qiu, Weipeng Zhang, Minhua Lu, Qianting Chen, Jiuzhang Liu, Wai Kin Chan, Rui Mao |
| 2026 | DASFAA | Automatic String Data Validation with Pattern Discovery. | Ziyan Han, Xinwei Lin, Peng Di, Chuan Xiao, Makoto Onizuka, Jiuzhang Liu, Rui Mao, Jianbin Qin |
| 2026 | ICDE | BClean+: A Bayesian Data Cleaning System with Automated Prior Generation. | Ziyan Han, Jing Zhu, Jinbin Huang, Rui Mao, Jianbin Qin |
| 2026 | ICDE | VPS: Rethinking OLTP Database Performance Evaluation Through Transactional Value. | Jianbin Qin, Yibin Lin, Wendi Hua, Rui Mao, Chuan Xiao |
| 2026 | ICDE | ShareFlow: An Efficient Framework for Multi-Query Continuous Subgraph Matching. | Peiqi Yuan, Zhaohang Feng, Ruiqi Xu, Keming Li, Rui Mao, Bo Tang |
| 2026 | ICDE | Efficient Query Rewrite Rule Discovery via Standardized Enumeration and Learning-to-Rank. | Yuan Zhang, Yuxing Chen, Yuekun Yu, Jinbin Huang, Rui Mao, Anqun Pan, Lixiong Zheng, Jianbin Qin |
| 2026 | LREC | The Evolution of Philosophy: A Metaphorical Cognition Perspective. | Rui Mao, Dapeng Chen, Zihao Huang, Xulang Zhang, Erik Cambria |
| 2026 | LREC | Mapping Liberty Metaphors across Cultures and Time. | Sidney Suen, Rui Mao, Kenneth Kwok, Erik Cambria |
| 2026 | LREC | Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory. | Jayant Teotia, Xiaowei Wang, Xulang Zhang, Rui Mao, Erik Cambria |
| 2026 | LREC | Appraisal Theory-Informed Emotion Prediction. | Xiaowei Wang, Jayant Teotia, Rui Mao, Wandeep Kaur Ratan Singh, Sabrina Binti Tiun, Erik Cambria |
| 2026 | LREC | Implicit Bias in Peer Review: Through the Lens of Language Abstraction. | Xulang Zhang, Rui Mao, Erik Cambria |
| 2026 | PAKDD | AI Adoption Phases in Business Intelligence: From Outsourcing to Human-Centered Systems. | Erik Cambria, Rui Mao, Frank Xing, Gianmarco Mengaldo |
| 2026 | PAKDD | PAED: Physics-Anchored and Emotion Disentangled Memory Diffusion for Talking Face Generation. | Xingchu Zhang, Chuwen Zhang, Rui Mao, Zehao Deng |
| 2026 | WCNC | ASTDroid: Abstract Syntax Trees Enhanced GNNs for Android Malware Detection. | Lihao Liu, Xingyuan Wei, Rui Mao, Yan Wang, Fangyuan Li |
| 2025 | ACL | Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization. | Keane Ong, Rui Mao, Deeksha Varshney, Erik Cambria, Gianmarco Mengaldo |
| 2025 | ACL | AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. | Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang |
| 2025 | ACL | QAEval: Mixture of Evaluators for Question-Answering Task Evaluation. | Tan Yue, Rui Mao, Xuzhao Shi, Shuo Zhan, Zuhao Yang, Dongyan Zhao |
| 2025 | ADMA | HSP: Efficient Framework for Hamming Similarity Search in PostgreSQL. | Shengsong Liu, Jiangfeng Xiao, Yaoshu Wang, Hua Yan, Yan Ji, Rui Mao, Jianbin Qin |
| 2025 | CogSci | Decoding Metaphors and Brain Signals in Naturalistic Contexts: An Empirical Study based on EEG and MetaPro. | Rui Mao, Tao Wang, Erik Cambria |
| 2025 | CogSci | Cognitive Mechanisms in Loan Marketing: Insights from Concept Mappings. | Rui Mao, Tao Wang, Xulang Zhang, Xinlong Li, Erik Cambria |
| 2025 | COLING | Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models. | Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao, Yuanfeng Song |
| 2025 | CVPR | VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? | Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu |
| 2025 | EMNLP | Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation. | Keane Ong, Rui Mao, Deeksha Varshney, Paul Pu Liang, Erik Cambria, Gianmarco Mengaldo |
| 2025 | EMNLP | R-CHAR: A Metacognition-Driven Framework for Role-Playing in Large Language Models. | Haiming Qin, Jiwei Zhang, Wei Zhang, Kezhong Lu, Mingyang Zhou, Hao Liao, Rui Mao |
| 2025 | EMNLP | F2TEval: Human-Aligned Multi-Dimensional Evaluation for Figure-to-Text Task. | Tan Yue, Rui Mao, Zilong Song, Zonghai Hu, Dongyan Zhao |
| 2025 | EMNLP | Hierarchical Reward Modeling for Fault Localization in Large Code Repositories. | Jiwei Zhang, Jianxun Lian, Haiming Qin, Mingyang Zhou, Kezhong Lu, Rui Mao, Hao Liao |
| 2025 | ICDM | Combining LLM-Generated Knowledge Graphs with RAG for Financial Sentiment Extraction. | Zihao Huang, Kelvin Du, Xulang Zhang, Rui Mao, Erik Cambria |
| 2025 | ICLR | Can a Large Language Model be a Gaslighter? | Wei Li, Luyao Zhu, Yang Song, Ruixi Lin, Rui Mao, Yang You |
| 2025 | ICONIP | LAF-YOLO: A Lightweight Architecture with Haar Wavelet Feature Learning for In-field Crop Disease Detection. | Hongli Yuan, Ying Shi, Xi Guan, Jin Zheng, Yeye Wei, Rui Mao |
| 2025 | IJCAI | Deduction with Induction: Combining Knowledge Discovery and Reasoning for Interpretable Deep Reinforcement Learning. | Haodi Zhang, Xiangyu Zeng, Junyang Chen, Yuanfeng Song, Rui Mao, Fangzhen Lin |
| 2025 | ICRA | Effective Heterogeneous Point Cloud-Based Place Recognition and Relative Localization for Ground and Aerial Vehicles. | Rui Mao, Hui Cheng |
| 2025 | IJCNN | MFWNet: Optimizing UAV-based Detection of Wheat Fusarium Head Blight Using Multi-scale Feature Fusion and Wavelet Convolution. | Jialin Li, Feilong Li, Dongxiang Li, Mingchen Feng, Ben Gu, Ziqi Liu, Jiange Wang, Rui Mao |
| 2025 | INDIN | MS-HA-DETR: A Multi-Scale and Hybrid-Attention Model for Enhancing Pig Abnormal Behavior Detection in Dense Farming. | Yusen Guo, Yan Wang, Xiaobo Wang, Bo Peng, Xinyan Ran, Rui Mao |
| 2025 | IROS | Seamless Transition Control in Spring-Legged Quadrotors: A Hybrid Dynamics Perspective with Guaranteed Feasibility. | Hongli Li, Botao Zhang, Rui Mao, Tao Wang, Hui Cheng |
| 2025 | NAACL | The Plagiarism Singularity Conjecture. | Sriram Ranga, Rui Mao, Erik Cambria, Anupam Chattopadhyay |
| 2025 | WWW | Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. | Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao |
| 2025 | SAC | Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis. | Filippo Pallucchini, Xulang Zhang, Rui Mao, Erik Cambria |
| 2025 | SIGIR | Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. | Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria |
| 2025 | SIGMOD | AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference. | Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang |
| 2025 | SISAP | Memory-Constrained DiskANN: Efficient Approximate Nearest Neighbor Search Under Resource Constraints. | Yuhang Lou, Linyun Ma, Kun Luo, Yan Ruan, Huijia Wu, Minhua Lu, Rui Mao |
| 2025 | SISAP | Variance-Based Pivot Selection for Metric Spaces. | Yan Ruan, Detao Ji, Kun Luo, Yuhang Lou, Minhua Lu, Rui Mao |
| 2024 | ACL | MetaPro 2.0: Computational Metaphor Processing on the Effectiveness of Anomalous Language Modeling. | Rui Mao, Kai He, Claudia Ong, Qian Liu, Erik Cambria |
| 2024 | ACL | SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis. | Xulang Zhang, Rui Mao, Erik Cambria |
| 2024 | CIKM | Explainable Stock Price Movement Prediction using Contrastive Learning. | Kelvin Du, Rui Mao, Frank Xing, Erik Cambria |
| 2024 | CogSci | Unveiling Diplomatic Narratives: Analyzing United Nations Security Council Debates Through Metaphorical Cognition. | Rui Mao, Tianwei Zhang, Qian Liu, Amir Hussain, Erik Cambria |
| 2024 | COLING | GPTEval: A Survey on Assessments of ChatGPT and GPT-4. | Rui Mao, Guanyi Chen, Xulang Zhang, Frank Guerin, Erik Cambria |
| 2024 | COLING | SarcNet: A Multilingual Multimodal Sarcasm Detection Dataset. | Tan Yue, Xuzhao Shi, Rui Mao, Zonghai Hu, Erik Cambria |
| 2024 | CSCWD | Improvement of the Clothes-Changing Person Re-identification with Multiple Loss Functions. | Yongkang Ding, Rui Mao, Hanyue Zhu, Liyan Zhang |
| 2024 | DAC | Leanor: A Learning-Based Accelerator for Efficient Approximate Nearest Neighbor Search via Reduced Memory Access. | Yi Wang, Huan Liu, Jianan Yuan, Jiaxian Chen, Tianyu Wang, Chenlin Ma, Rui Mao |
| 2024 | DASFAA | CPCF: A Flexible Chunking and Proactive Insertion Cuckoo Filter. | Wendi Hua, Ping Xie, Xiao Qin, Rui Mao, Yan Ji, Hao Chen, Hua Yan, Jianbin Qin |
| 2024 | EMNLP | Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. | Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria |
| 2024 | HCI | SenticNet 8: Fusing Emotion AI and Commonsense AI for Interpretable, Trustworthy, and Explainable Affective Computing. | Erik Cambria, Xulang Zhang, Rui Mao, Melvin Chen, Kenneth Kwok |
| 2024 | HCI | Neurosymbolic AI for Personalized Sentiment Analysis. | Luyao Zhu, Rui Mao, Erik Cambria, Bernard J. Jansen |
| 2024 | HPCA | Rapper: A Parameter-Aware Repair-in-Memory Accelerator for Blockchain Storage Platform. | Chenlin Ma, Yingping Wang, Fuwen Chen, Jing Liao, Yi Wang, Rui Mao |
| 2024 | ICDE | Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach. | Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao |
| 2024 | ICDE | BClean: A Bayesian Data Cleaning System. | Jianbin Qin, Sifan Huang, Yaoshu Wang, Jing Zhu, Yifan Zhang, Yukai Miao, Rui Mao, Makoto Onizuka, Chuan Xiao |
| 2024 | ICDM | Investigating the Role of Metaphors in Human-AI Conversation and Engagement. | Pragati Maheshwary, Qiawen Liu, Rui Mao |
| 2024 | ICDM | Sentiment Analysis on Climate Change for Sustainable Investment. | Keane Ong, Rui Mao, Deeksha Varshney, Ranjan Satapathy, Erik Cambria, Gianmarco Mengaldo |
| 2024 | ICDM | Evaluating Vision Language Models in Detecting Learning Engagement. | Jayant Teotia, Xulang Zhang, Rui Mao, Erik Cambria |
| 2024 | ICDM | Understanding the Hidden State of Language Models from the Perspective of Sentiment Analysis. | Kaicheng Xue, Xulang Zhang, Rui Mao, Erik Cambria |
| 2024 | IJCAI | Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction. | Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao |
| 2024 | IJCAI | Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. | Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria |
| 2024 | IJCNN | A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction. | Kelvin Du, Rui Mao, Frank Xing, Erik Cambria |
| 2024 | ICRA | ColAG: A Collaborative Air-Ground Framework for Perception-Limited UGVs' Navigation. | Zhehan Li, Rui Mao, Nanhe Chen, Chao Xu, Fei Gao, Yanjun Cao |
| 2024 | IJCNN | Multilingual Emotion Recognition: Discovering the Variations of Lexical Semantics between Languages. | Xulang Zhang, Rui Mao, Erik Cambria |
| 2024 | IECON | Design of Magnetic Feet for Climbing Robot with Novel Circular Halbach Net EPM Structure. | Sucan Zhang, An Li, Bo Tao, Tianyu Hu, Rui Mao, Qinyang Yu, Han Ding |
| 2024 | ISCC | Smartphone Gait Authentication Based on Activity Recognition Task in Unconstrained Environment. | Di Cheng, Rui Mao, Qing Hao, Yan Wang, Jiacheng Li |
| 2024 | IWQoS | Low-Latency Video Conferencing via Optimized Packet Routing and Reordering. | Yao Xiao, Sitian Chen, Amelie Chi Zhou, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang |
| 2024 | PRICAI | Position-Aware Dynamic Graph Convolutional Recurrent Network for Traffic Forecasting. | Rui Mao, Xufei Zhuang, Xudong Gao, Haitao Zhang, Qing-Dao-Er-Ji Ren, Bao Shi, Yatu Ji, Nier Wu |
| 2024 | WWW | Accelerating the Decentralized Federated Learning via Manipulating Edges. | Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao |
| 2024 | VCIP | Perceptual Image Compression With Conditional Diffusion Transformers. | Rui Mao, Xinmin Feng, Changsheng Gao, Li Li, Dong Liu, Xiaoyan Sun |
| 2023 | AAAI | SKIER: A Symbolic Knowledge Integrated Model for Conversational Emotion Recognition. | Wei Li, Luyao Zhu, Rui Mao, Erik Cambria |
| 2023 | ACL | MetaPro Online: A Computational Metaphor Processing Online System. | Rui Mao, Xiao Li, Kai He, Mengshi Ge, Erik Cambria |
| 2023 | ACL | TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. | Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu, Erik Cambria |
| 2023 | ACL | Finding the Pillars of Strength for Multi-Head Attention. | Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria |
| 2023 | ACL | PAED: Zero-Shot Persona Attribute Extraction in Dialogues. | Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea, Erik Cambria |
| 2023 | ADMA | TabMentor: Detect Errors on Tabular Data with Noisy Labels. | Yaru Zhang, Jianbin Qin, Yaoshu Wang, Muhammad Asif Ali, Yan Ji, Rui Mao |
| 2023 | APWEB | Adaptive Label Cleaning for Error Detection on Tabular Data. | Yaru Zhang, Jianbin Qin, Rui Mao, Yan Ji, Yaoshu Wang, Muhammad Asif Ali |
| 2023 | DAC | Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks. | Jiaxian Chen, Zhaoyu Zhong, Kaoyi Sun, Chenlin Ma, Rui Mao, Yi Wang |
| 2023 | EMNLP | Neuro-Symbolic Sentiment Analysis with Dynamic Word Sense Disambiguation. | Xulang Zhang, Rui Mao, Kai He, Erik Cambria |
| 2023 | ICDM | Discovering the Cognition behind Language: Financial Metaphor Analysis with MetaPro. | Rui Mao, Kelvin Du, Yu Ma, Luyao Zhu, Erik Cambria |
| 2023 | IJCNN | A Multi-task Learning Model for Gold-two-mention Co-reference Resolution. | Ruicheng Liu, Guanyi Chen, Rui Mao, Erik Cambria |
| 2023 | IROS | Lightweight Real-Time Detection Model for Multi-Sheep Abnormal Behaviour Based on Yolov7-Tiny. | Haotian Zhang, Yuan Ma, Xiaobo Wang, Rui Mao, Meili Wang |
| 2022 | AAAI | Explainable Metaphor Identification Inspired by Conceptual Metaphor Theory. | Mengshi Ge, Rui Mao, Erik Cambria |
| 2022 | COLING | Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings. | Sooji Han, Rui Mao, Erik Cambria |
| 2022 | COLING | COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition. | Yucheng Huang, Kai He, Yige Wang, Xianli Zhang, Tieliang Gong, Rui Mao, Chen Li |
| 2022 | DATE | MU-RMW: Minimizing Unnecessary RMW Operations in the Embedded Flash with SMR Disk. | Chenlin Ma, Zhuokai Zhou, Yingping Wang, Yi Wang, Rui Mao |
| 2022 | EMNLP | A Joint Learning Framework for Restaurant Survival Prediction and Explanation. | Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao |
| 2022 | ICDE | Core Decomposition on Uncertain Graphs Revisited (Extended Abstract). | Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan |
| 2022 | ICDE | Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers. | Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, Rui Mao |
| 2022 | ICDM | Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. | Erik Cambria, Rui Mao, Sooji Han, Qian Liu |
| 2022 | IJCNN | Saving Earth One Tweet at a Time through the Lens of Artificial Intelligence. | Cuc Duong, Qian Liu, Rui Mao, Erik Cambria |
| 2022 | ISCC | Implicit Continuous Authentication Model Based on Mobile Terminal Touch Behavior. | Rui Mao, Heming Ji, Di Cheng, Xiaoyu Wang, Yan Wang, Degang Sun |
| 2022 | ISCC | Dynamic Authentication Mechanism Research and Security Protocol Design of HIOT. | Rui Mao, Heming Ji, Xiaoyu Wang |
| 2021 | AAAI | Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. | Rui Mao, Xiao Li |
| 2021 | DAC | LolliRAM: A Cross-Layer Design to Exploit Data Locality in Oblivious RAM. | Yi Wang, Weixuan Chen, Xianhua Wang, Rui Mao |
| 2021 | ICDE | Dynamic Hub Labeling for Road Networks. | Mengxuan Zhang, Lei Li, Wen Hua, Rui Mao, Pingfu Chao, Xiaofang Zhou |
| 2021 | SIGMOD | Consistent and Flexible Selectivity Estimation for High-Dimensional Data. | Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang, Yoshiharu Ishikawa |
| 2020 | ASPDAC | Towards Read-Intensive Key-Value Stores with Tidal Structure Based on LSM-Tree. | Yi Wang, Shangyu Wu, Rui Mao |
| 2020 | ICPP | Developing a Loss Prediction-based Asynchronous Stochastic Gradient Descent Algorithm for Distributed Training of Deep Neural Networks. | Junyu Li, Ligang He, Shenyuan Ren, Rui Mao |
| 2020 | ICWS | A Deep Concept-aware Model for predicting and explaining restaurant future status. | Hao Liao, Xiaojie Zhang, Xin Li, Ming-Yang Zhou, Alexandre Vidmer, Rui Mao |
| 2019 | ACL | End-to-End Sequential Metaphor Identification Inspired by Linguistic Theories. | Rui Mao, Chenghua Lin, Frank Guerin |
| 2019 | COMPSAC | Viscoelasticity Measurements of knee Muscles with Simulated Knee Osteoarthritis Treated by Novel Chinese Medicine: A Preliminary Study. | Siyuan Fang, Lixia Hu, Bin Du, Haoteng Zheng, Minhua Lu, Rui Mao |
| 2019 | DASFAA | Structured Spectral Clustering of PurTree Data. | Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao |
| 2019 | DATE | PATCH: Process-Variation-Resilient Space Allocation for Open-Channel SSD with 3D Flash. | Jing Chen, Yi Wang, Amelie Chi Zhou, Rui Mao, Tao Li |
| 2019 | DATE | Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture. | Shangyu Wu, Yi Wang, Amelie Chi Zhou, Rui Mao, Zili Shao, Tao Li |
| 2019 | INLG | A Stable Variational Autoencoder for Text Modelling. | Ruizhe Li, Xiao Li, Chenghua Lin, Matthew Collinson, Rui Mao |
| 2019 | PDCAT | RNC: Reliable Network Property Classifier Based on Graph Embedding. | Hao Liao, Qi-Xin Liu, Alexandre Vidmer, Ming-Yang Zhou, Rui Mao |
| 2019 | PDCAT | FPGA-Based Parallel Multi-Core GZIP Compressor in HDFS. | Haoxin Luo, Ye Cai, Qiuming Luo, Rui Mao |
| 2018 | ACL | Word Embedding and WordNet Based Metaphor Identification and Interpretation. | Rui Mao, Chenghua Lin, Frank Guerin |
| 2018 | DASFAA | Geographical Relevance Model for Long Tail Point-of-Interest Recommendation. | Wei Liu, Zhi-Jie Wang, Bin Yao, Mengdie Nie, Jing Wang, Rui Mao, Jian Yin |
| 2018 | ICA3PP | vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen. | Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao |
| 2018 | ICDE | A Comprehensive Performance Evaluation of Modern In-Memory Indices. | Zhongle Xie, Qingchao Cai, Gang Chen, Rui Mao, Meihui Zhang |
| 2018 | NPC | Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training. | Junyu Li, Ligang He, Shenyuan Ren, Rui Mao |
| 2018 | TrustCom | BotCensor: Detecting DGA-Based Botnet Using Two-Stage Anomaly Detection. | Biao Qi, Jianguo Jiang, Zhixin Shi, Rui Mao, Qiwen Wang |
| 2017 | COMPSAC | Alcohol-Induced Differential Variable Genes. | Siyuan Liang, Jianqiang Li, Juan Li, Caiyun Yang, Weiliang Qiu, Ji-Jiang Yang, Zhihua Sun, Rui Mao |
| 2017 | COMPSAC | SLC25A36 and ZFAND5 Expression Levels Altered by the Interaction of EtOH Dosage and Exposure Time in Human Dental Pulp Stem Cells. | Zhirui Wang, Jianqiang Li, Weiliang Qiu, Ji-Jiang Yang, Rui Mao, Shi Chen |
| 2017 | WISE | Incremental Structural Clustering for Dynamic Networks. | Yazhong Chen, Rong-Hua Li, Qiangqiang Dai, Zhenjun Li, Shaojie Qiao, Rui Mao |
| 2017 | WISE | Discovering Hierarchical Subgraphs of K-Core-Truss. | Zhenjun Li, Wei-Peng Zhang, Rong-Hua Li, Jun Guo, Xin Huang, Rui Mao |
| 2016 | ICOST | SVM Based Predictive Model for SGA Detection. | Haowen Mo, Jianqiang Li, Shi Chen, Hui Pan, Ji-Jiang Yang, Qing Wang, Rui Mao |
| 2016 | SIGMOD | Efficient and Progressive Group Steiner Tree Search. | Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao |
| 2015 | APWEB | Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Space. | Taotao Cai, Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Yadi Cai |
| 2015 | ICDE | On random walk based graph sampling. | Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin |
| 2014 | DASFAA | On Data Partitioning in Tree Structure Metric-Space Indexes. | Rui Mao, Sheng Liu, Honglong Xu, Dian Zhang, Daniel P. Miranker |
| 2014 | ICDE | Efficient and accurate query evaluation on uncertain graphs via recursive stratified sampling. | Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin |
| 2010 | PDCAT | A Novel Model and a Simulation Tool for Churn of P2P Network. | Qiuming Luo, Yun Li, Wentao Dong, Gang Liu, Rui Mao |
| 2010 | SISAP | Dimension reduction for distance-based indexing. | Rui Mao, Willard L. Miranker, Daniel P. Miranker |
| 2010 | SISAP | An inverted index for mass spectra similarity query and comparison with a metric-space method: case study. | Rui Mao, Smriti R. Ramakrishnan, Glen Nuckolls, Daniel P. Miranker |
| 2008 | ICDE | Anytime k-nearest neighbor search for database applications. | Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. Ramakrishnan |
| 2008 | SISAP | Anytime K-Nearest Neighbor Search for Database Applications. | Weijia Xu, Daniel P. Miranker, Rui Mao, Smriti R. Ramakrishnan |
| 2006 | BIBE | On Integrating Peptide Sequence Analysis and Relational Distance-Based Indexing. | Weijia Xu, Rui Mao, Shu Wang, Daniel P. Miranker |
| 2003 | BIBE | An Assessment of a Metric Space Database Index to Support Sequence Homology. | Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker |
| 2003 | SSDBM | MoBIoS: A Metric-Space DBMS to Support Biological Discovery. | Daniel P. Miranker, Weijia Xu, Rui Mao |