| 2026 | AAAI | You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures. | Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang |
| 2026 | AAAI | Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions. | Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang |
| 2026 | AAAI | LLM Collaborative Filtering: User-Item Graph as New Language. | Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang |
| 2026 | ACL | LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning. | Zerui Chen, Qinggang Zhang, Zhishang Xiang, Zhimin Wei, Linfeng Gao, Xiao Huang, Zhihong Zhang, Jinsong Su |
| 2026 | ACL | FinMaster: A Holistic Benchmark for Full-Pipeline Financial Management with Large Language Models. | Junzhe Jiang, Chang Yang, Aixin Cui, Sihan Jin, Yujing Zhang, Yilin Xiao, Ruiyu Wang, Bo Li, Xiao Huang, Danny Dongning Sun, Xinrun Wang |
| 2026 | ACL | LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation. | Yilin Xiao, Jin Chen, Qinggang Zhang, Yujing Zhang, Chuang Zhou, Longhao Yang, Lingfei Ren, Xin Yang, Xiao Huang |
| 2026 | ACL | Query-Aware Knowledge Retrieval via Hyperbolic Structuring. | Chuang Zhou, Junnan Dong, Yilin Xiao, Shengyuan Chen, Su Dong, Di Yin, Xing Sun, Zhaozhuo Xu, Xiao Huang |
| 2026 | ACL | Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG. | Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao, Junnan Dong, Siyu An, Di Yin, Xing Sun, Xiao Huang |
| 2026 | ICDE | Knapsack Optimization-Based Schema Linking for LLM-Based Text-to-SQL Generation. | Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Qing Li, Xiao Huang |
| 2026 | PAKDD | MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information. | Jiaxi Li, Yucheng Shi, Xiao Huang, Jin Lu, Ninghao Liu |
| 2026 | WCNC | Hierarchical Deep Reinforcement Learning-Based Adaptive Task Allocation for Multi-AUV Cooperative Hunting. | Jiarun Tang, Shilong Hu, Xiao Huang, Wei Liu, Shimin Gong, Jing Xu |
| 2026 | WWW | Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs. | Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang |
| 2026 | WWW | LoSemB: Logic-Guided Semantic Bridging for Inductive Tool Retrieval. | Luyao Zhuang, Qinggang Zhang, Huachi Zhou, Yujing Zhang, Xiao Huang |
| 2025 | ACL | Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. | Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang |
| 2025 | ACL | Each graph is a new language: Graph Learning with LLMs. | Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang |
| 2025 | ASPDAC | SCSC: Leveraging Sparsity and Fault-Tolerance for Energy-Efficient Spiking Neural Networks. | Bo Li, Yue Liu, Wei Liu, Jinghai Wang, Xiao Huang, Zhiyi Yu, Shanlin Xiao |
| 2025 | COLING | Text-Attributed Graph Learning with Coupled Augmentations. | Chuang Zhou, Jiahe Du, Huachi Zhou, Hao Chen, Feiran Huang, Xiao Huang |
| 2025 | EMNLP | Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning. | Chang Yang, Xinrun Wang, Qinggang Zhang, Qi Jiang, Xiao Huang |
| 2025 | ICASSP | Class-wise Adaptive Logits Distillation with Meta-Learning. | Xiao Huang, Wu Chen, Wei Zhou |
| 2025 | ICASSP | One-step Incomplete Multi-view Clustering based on Bipartite Graph Learning. | Minghao Li, Hechuan Lin, Huiying Xu, Ziying Wang, Xinzhong Zhu, Xiao Huang |
| 2025 | ICASSP | RestorMamba: An Enhanced Synergistic State Space Model for Image Restoration. | Zeyu Wang, Chen Li, Huiying Xu, Xinzhong Zhu, Xiao Huang, Hongbo Li |
| 2025 | ICASSP | MambaInst: Lightweight State Space Model for Real-Time Instance Segmentation. | Zeyu Wang, Chen Li, Huiying Xu, Xinzhong Zhu, Xiao Huang, Hongbo Li |
| 2025 | ICLR | Reframing Structure-Based Drug Design Model Evaluation via Metrics Correlated to Practical Needs. | Bowen Gao, Haichuan Tan, Yanwen Huang, Minsi Ren, Xiao Huang, Wei-Ying Ma, Ya-Qin Zhang, Yanyan Lan |
| 2025 | ICML | Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. | Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang |
| 2025 | ICML | Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation. | Xiao Huang, Xu Liu, Enze Zhang, Tong Yu, Shuai Li |
| 2025 | ICML | Structure-Guided Large Language Models for Text-to-SQL Generation. | Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang |
| 2025 | IJCNN | Fuzzy Knowledge-Driven Human-in-the-Loop Learning for Autonomous Driving. | Yiming Zeng, Yin Xu, Xichong Zhang, Xiao Huang, Mingjun Xiao |
| 2025 | KDD | AliBoost: Ecological Boosting Framework in Alibaba Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen |
| 2025 | WCNC | An Energy-Aware AUV-Assisted Data Collection Scheme for Maximizing Network Lifetime in UWSNs. | Jiarun Tang, Xuan Gu, Xiao Huang, Wei Liu, Jianhua He, Jing Xu |
| 2024 | ACL | Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. | Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang |
| 2024 | ACL | Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM. | Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang |
| 2024 | ACL | Enhancing Explainable Rating Prediction through Annotated Macro Concepts. | Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang |
| 2024 | CIKM | Feedback Reciprocal Graph Collaborative Filtering. | Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang |
| 2024 | EMNLP | QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. | Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu |
| 2024 | GLOBECOM | Exploiting Deep Reinforcement Learning for Multi-AUV Assisted VoI-Maximum Data Collection in UWSNs. | Xuan Gu, Jiarun Tang, Xiao Huang, Jianhua He, Jing Xu |
| 2024 | GLOBECOM | Electrical Dispersion Pre-Compensation Based on Multi-Output Neural Network for 200 Gbps O-band IM-DD Short Reach Optical Systems. | Weihao Ni, Liming Chen, Mingzhu Yin, Xiao Huang, Fan Li |
| 2024 | ICASSP | Zigzag Attention: A Structural Aware Module For Lane Detection. | Jiajun Ling, Yifan Chen, Qimin Cheng, Xiao Huang |
| 2024 | ICML | Configurable Mirror Descent: Towards a Unification of Decision Making. | Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Shuyue Hu, Xiao Huang, Hau Chan, Bo An |
| 2024 | IJCAI | Denoising-Aware Contrastive Learning for Noisy Time Series. | Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung |
| 2024 | IJCAI | Self-adaptive PSRO: Towards an Automatic Population-based Game Solver. | Pengdeng Li, Shuxin Li, Chang Yang, Xinrun Wang, Xiao Huang, Hau Chan, Bo An |
| 2024 | IJCAI | Reinforcement Nash Equilibrium Solver. | Xinrun Wang, Chang Yang, Shuxin Li, Pengdeng Li, Xiao Huang, Hau Chan, Bo An |
| 2024 | ICRA | LiDAR-Camera Extrinsic Calibration with Hierachical and Iterative Feature Matching. | Xuzhong Hu, Zaipeng Duan, Junfeng Ding, Zhe Zhang, Xiao Huang, Jie Ma |
| 2024 | ICRA | Towards Visibility Estimation and Noise-Distribution-Based Defogging for LiDAR in Autonomous Driving. | Jie Zhan, Yucong Duan, Junfeng Ding, Xuzhong Hu, Xiao Huang, Jie Ma |
| 2024 | KDD | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | KDD | Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion. | Qinggang Zhang, Keyu Duan, Junnan Dong, Pai Zheng, Xiao Huang |
| 2024 | WWW | Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. | Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang |
| 2024 | WWW | Large Language Models for Graph Learning. | Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li |
| 2024 | WWW | Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. | Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu |
| 2023 | ACL | Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model. | Pengwei Zhan, Jing Yang, Xiao Huang, Chunlei Jing, Jingying Li, Liming Wang |
| 2023 | ACL | Similarizing the Influence of Words with Contrastive Learning to Defend Word-level Adversarial Text Attack. | Pengwei Zhan, Jing Yang, He Wang, Chao Zheng, Xiao Huang, Liming Wang |
| 2023 | CIKM | Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. | Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang |
| 2023 | CSCWD | A Blockchain-Based Privacy-Preserving Data Sharing Scheme with Security-Enhanced Access Control. | Benyu Li, Jing Yang, Yuxiang Wang, Xiao Huang, Junshuai Ren, Liming Wang |
| 2023 | HCI | Designing Intelligent Decision Assistants to Assist Seniors with Medicare Plan Decision-Making: An Application of Cognitive Response Theories. | Ebenezer Nana Banyin Harrison, Wi-Suk Kwon, Xiao Huang, Nick McCormick, Salisa Westrick |
| 2023 | HCI | Effects of Conversational AI Assistance and Decision Stages on the Flow Experience of Older Users' of an e-Healthcare Decision Tool. | Xiao Huang, Wi-Suk Kwon, Ebenezer Nana Banyin Harrison, Nick McCormick, Salisa Westrick |
| 2023 | ICDM | Graph Neural Networks with Non-Recursive Message Passing. | Qiaoyu Tan, Xin Zhang, Jiahe Du, Xiao Huang |
| 2023 | ICIP | Context-Aware Data Augmentation for LIDAR 3d Object Detection. | Xuzhong Hu, Zaipeng Duan, Xiao Huang, Ziwen Xu, Delie Ming, Jie Ma |
| 2023 | ICML | RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. | Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu |
| 2023 | IJCNN | HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation. | Rui Chen, Guotao Liang, Chenrui Ma, Qilong Han, Li Li, Xiao Huang |
| 2023 | PAKDD | Interest Driven Graph Structure Learning for Session-Based Recommendation. | Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu |
| 2023 | WWW | Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. | Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang |
| 2023 | SIGIR | Aligning Distillation For Cold-start Item Recommendation. | Feiran Huang, Zefan Wang, Xiao Huang, Yufeng Qian, Zhetao Li, Hao Chen |
| 2023 | SIGIR | Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. | Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang |
| 2023 | WSDM | Active Ensemble Learning for Knowledge Graph Error Detection. | Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao |
| 2023 | WSDM | International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. | Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang |
| 2023 | WSDM | S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. | Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2022 | CIKM | Contrastive Knowledge Graph Error Detection. | Qinggang Zhang, Junnan Dong, Keyu Duan, Xiao Huang, Yezi Liu, Linchuan Xu |
| 2022 | CIKM | Multi-Interest Refinement by Collaborative Attributes Modeling for Click-Through Rate Prediction. | Huachi Zhou, Jiaqi Fan, Xiao Huang, Ka Ho Li, Zhenyu Tang, Dahai Yu |
| 2022 | IJCAI | FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. | Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li |
| 2022 | MICCAI | Harnessing Deep Bladder Tumor Segmentation with Logical Clinical Knowledge. | Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen |
| 2022 | PAKDD | Contrastive Attributed Network Anomaly Detection with Data Augmentation. | Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li |
| 2022 | SIGIR | Generative Adversarial Framework for Cold-Start Item Recommendation. | Hao Chen, Zefan Wang, Feiran Huang, Xiao Huang, Yue Xu, Yishi Lin, Peng He, Zhoujun Li |
| 2022 | SDM | Unseen Anomaly Detection on Networks via Multi-Hypersphere Learning. | Shuang Zhou, Xiao Huang, Ninghao Liu, Qiaoyu Tan, Fu-Lai Chung |
| 2021 | AAAI | Dynamic Memory based Attention Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2021 | CIKM | REFORM: Error-Aware Few-Shot Knowledge Graph Completion. | Song Wang, Xiao Huang, Chen Chen, Liang Wu, Jundong Li |
| 2021 | CIKM | Subtractive Aggregation for Attributed Network Anomaly Detection. | Shuang Zhou, Qiaoyu Tan, Zhiming Xu, Xiao Huang, Fu-Lai Chung |
| 2021 | HCI | What Functions on the Medicare Plan Finder Do Older Medicare Beneficiaries Use? | Mohammad Shahidul Kader, Wi-Suk Kwon, Salisa Westrick, Kassandra Ross, Yi Zhao, Xiao Huang |
| 2021 | HCI | Medicare Plan Decisions: What Strategy Do Older Adults Use for e-Healthcare Decision-Making and What Intelligent Assistance Do They Need? | Kassandra Ross, Wi-Suk Kwon, Salisa Westrick, Mohammad Shahidul Kader, Yi Zhao, Xiao Huang |
| 2021 | ICIP | Pan-Sharpening Via High-Pass Modification Convolutional Neural Network. | Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, Ruiqian Zhang, Jiayi Ma |
| 2021 | IJCNN | Integrating General and Specific Priors into Deep Convolutional Neural Networks for Bladder Tumor Segmentation. | Xiao Huang, Xiaodong Yue, Zhikang Xu, Yufei Chen |
| 2021 | ISPA | TATA: Throughput-Aware TAsk Placement in Heterogeneous Stream Processing with Deep Reinforcement Learning. | Xiao Huang, Yu Jiang, Hao Fan, Huayun Tang, Yiping Wang, Jin Jin, Hai Wan, Xibin Zhao |
| 2021 | KDD | Unsupervised Graph Alignment with Wasserstein Distance Discriminator. | Ji Gao, Xiao Huang, Jundong Li |
| 2021 | SIGIR | Temporal Augmented Graph Neural Networks for Session-Based Recommendations. | Huachi Zhou, Qiaoyu Tan, Xiao Huang, Kaixiong Zhou, Xiaoling Wang |
| 2020 | ACL | Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. | Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren |
| 2020 | ACL | TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. | Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren |
| 2020 | EMNLP | Teaching Machine Comprehension with Compositional Explanations. | Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren |
| 2020 | IJCAI | Speeding up Very Fast Decision Tree with Low Computational Cost. | Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao |
| 2020 | IJCAI | Multi-Channel Graph Neural Networks. | Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | IGARSS | Translating Multispectral Imagery to Nighttime Imagery via Conditional Generative Adversarial Networks. | Xiao Huang, Dong Xu, Zhenlong Li, Cuizhen Wang |
| 2020 | ISPA | A Data-Driven Dynamic Stochastic Programming Framework for Ride-Sharing Rebalancing Problem under Demand Uncertainty. | Xiaoming Li, Chun Wang, Xiao Huang, Yimin Nie |
| 2019 | AAAI | Large-Scale Heterogeneous Feature Embedding. | Xiao Huang, Qingquan Song, Fan Yang, Xia Hu |
| 2019 | CIKM | SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. | Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou |
| 2019 | CoNLL | Learning a Unified Named Entity Tagger from Multiple Partially Annotated Corpora for Efficient Adaptation. | Xiao Huang, Li Dong, Elizabeth Boschee, Nanyun Peng |
| 2019 | IGARSS | Human Settlement Dynamics in Hurricane-Prone Zones of Conterminous U.S: A View from Nighttime Remote Sensing. | Xiao Huang, Cuizhen Wang |
| 2019 | KDD | Learning From Networks: Algorithms, Theory, and Applications. | Xiao Huang, Peng Cui, Yuxiao Dong, Jundong Li, Huan Liu, Jian Pei, Le Song, Jie Tang, Fei Wang, Hongxia Yang, Wenwu Zhu |
| 2019 | KDD | Graph Recurrent Networks With Attributed Random Walks. | Xiao Huang, Qingquan Song, Yuening Li, Xia Hu |
| 2019 | WSDM | Knowledge Graph Embedding Based Question Answering. | Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li |
| 2018 | AAAI | Link Prediction With Personalized Social Influence. | Zepeng Huo, Xiao Huang, Xia Hu |
| 2018 | ICDM | Multi-label Adversarial Perturbations. | Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu |
| 2018 | KDD | On Interpretation of Network Embedding via Taxonomy Induction. | Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu |
| 2018 | WSDM | Exploring Expert Cognition for Attributed Network Embedding. | Xiao Huang, Qingquan Song, Jundong Li, Xia Hu |
| 2017 | IJCAI | A General Multi-agent Epistemic Planner Based on Higher-order Belief Change. | Xiao Huang, Biqing Fang, Hai Wan, Yongmei Liu |
| 2017 | IJCAI | Accelerated Local Anomaly Detection via Resolving Attributed Networks. | Ninghao Liu, Xiao Huang, Xia Hu |
| 2017 | IJCNN | Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework. | Xiao Huang, Wei Wu, Peijie Yin, Hong Qiao |
| 2017 | KDD | Multi-Aspect Streaming Tensor Completion. | Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu |
| 2017 | WSDM | Label Informed Attributed Network Embedding. | Xiao Huang, Jundong Li, Xia Hu |
| 2017 | SDM | Accelerated Attributed Network Embedding. | Xiao Huang, Jundong Li, Xia Hu |
| 2015 | ITW | Index coding and network coding via rank minimization. | Xiao Huang, Salim El Rouayheb |
| 2014 | CIKM | Cross-Device Search. | George D. Montaez, Ryen W. White, Xiao Huang |
| 2013 | WSDM | Characterizing and supporting cross-device search tasks. | Yu Wang, Xiao Huang, Ryen W. White |
| 2012 | CCGRID | Enhanced Energy-Efficient Scheduling for Parallel Applications in Cloud. | Qingjia Huang, Sen Su, Jian Li, Peng Xu, Kai Shuang, Xiao Huang |
| 2011 | ICNC | A posteriori error estimates for variational discretization and mixed finite element methods of optimal control problems. | Zuliang Lu, Xiao Huang |
| 2008 | IJCNN | Learning of sensorimotor behaviors by a SASE agent for vision-based navigation. | Zhengping Ji, Xiao Huang, Juyang Weng |
| 2006 | ICMI | Collaborative multimodal photo annotation over digital paper. | Paulo Barthelmess, Edward C. Kaiser, Xiao Huang, David McGee, Philip R. Cohen |
| 2006 | ICMI | Collaborative multimodal photo annotation over digital paper. | Paulo Barthelmess, Edward C. Kaiser, Xiao Huang, David McGee, Philip R. Cohen |
| 2005 | ICMI | Distributed pointing for multimodal collaboration over sketched diagrams. | Paulo Barthelmess, Edward C. Kaiser, Xiao Huang, David Demirdjian |
| 2004 | ECCV | Motivational System for Human-Robot Interaction. | Xiao Huang, Juyang Weng |
| 2004 | ICASSP | Office presence detection using multimodal context information. | Xiao Huang, Juyang Weng, Zhengyou Zhang |
| 2004 | IJCNN | Object permanence: results from developmental robotics. | Yi Chen, Juyang Weng, Xiao Huang |
| 2004 | IJCNN | Value system development for a robot. | Xiao Huang, Juyang Weng |
| 2003 | IDEAL | Locally Balanced Incremental Hierarchical Discriminant Regression. | Xiao Huang, Juyang Weng, Roger Calantone |
| 2002 | GLOBECOM | Piecewise-scales transform for the reduction of PAPR of OFDM signals. | Xiao Huang, Jianhua Lu, Junli Zheng, Jun Gu |
| 2001 | ICDAR | Multiresolution Recognition of Offline Handwritten Chinese Characters with Wavelet Transform. | Lei Huang, Xiao Huang |