| 2026 | AAAI | Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs. | Jinpeng Li, Hang Yu, Ziqi Ma, Peng Qi |
| 2026 | AAAI | Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space. | Zhongnan Weng, Yue Hong, Hang Yu, Jiayi Que, Juan Liu, Xiangrong Liu |
| 2026 | AAAI | LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection. | Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang |
| 2026 | AAAI | Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction. | Hang Yu, Yansen Yu, Jiayan Qiu |
| 2026 | AAAI | DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation. | Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu |
| 2026 | ACL | Generating then Refining for Reliable Knowledge Base Question Answering. | Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang, Nengjun Zhu, Yonggang Zhang |
| 2026 | ACL | TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale. | Jun Wang, Ziyin Zhang, Rui Wang, Hang Yu, Peng Di |
| 2026 | ACL | Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward. | Xuexiang Wen, Hang Yu, Linchao Zhu, Gaoang Wang |
| 2026 | ACL | N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization. | Xukun Zhu, Hang Yu, Peng Di, Linchao Zhu |
| 2026 | ISKE | TGNN: A Teacher-Guided Graph Neural Network Framework for Semi-supervised Learning on Non-stationary Streaming Data. | Shukun Li, Hang Yu, Yimin Wen, Huafu Xu |
| 2026 | ISKE | PFRNet: Progressive Feature Relaxation for Low-Light Enhancement. | Yihan Sun, Xin Zheng, Hang Yu |
| 2026 | SIGIR | F2-Gen: An Open-Source Web Platform for Scenario-Driven Financial Fraud Data Simulation. | Junquan Gu, Zehao Gong, Runchen Ji, Kun Shi, Xiangfeng Luo, Hang Yu |
| 2025 | AAAI | Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms. | Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu |
| 2025 | AAAI | Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels. | Pengbo Li, Hang Yu, Xiangfeng Luo |
| 2025 | ACL | GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding. | Ziyin Zhang, Hang Yu, Sage Lee, Peng Di, Jianguo Li, Rui Wang |
| 2025 | CVPR | Pay Attention to the Foreground in Object-Centric Learning. | Pinzhuo Tian, Shengjie Yang, Hang Yu, Alex C. Kot |
| 2025 | EMNLP | E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning. | Zihan Liao, Jun Wang, Hang Yu, Lingxiao Wei, Jianguo Li, Jun Wang, Wei Zhang |
| 2025 | EMNLP | HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction. | Xiangfeng Luo, Ruoxin Zheng, Jianqiang Huang, Hang Yu |
| 2025 | EMNLP | CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs. | Qi Xu, Qian Liu, Hao Fei, Hang Yu, Shuhao Guan, Xiao Wei |
| 2025 | ICASSP | Exploiting the Relationship within the Unlabelled Samples by Set Matching for Generalized Category Discovery. | Qiubo Ma, Hang Yu, Yuan Shan, Pinzhuo Tian |
| 2025 | ICCV | DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-To-Robot Handover. | Youzhuo Wang, Jiayi Ye, Chuyang Xiao, Yiming Zhong, Heng Tao, Hang Yu, Yumeng Liu, Jingyi Yu, Yuexin Ma |
| 2025 | ICDM | Layer-Wise Unlearning for Model Adaption in Non-Stationary Environments. | Yanbing Zhou, Yimin Wen, Zhanhua Liu, Xiang Liu, Hang Yu, Yikui Zhai |
| 2025 | ICLR | Advancing Out-of-Distribution Detection via Local Neuroplasticity. | Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan |
| 2025 | ICLR | Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions. | Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin |
| 2025 | IJCNN | Semi-supervised Graph Neural Networks with Incremental Learning for Fraud Detection. | Xue Chen, Jing Liang, Hang Yu |
| 2025 | IJCNN | Feature Fusion Contrastive Learning and Adaptive Correction Framework for Unsupervised Graph Anomaly Detection. | Yicheng Zhang, Shaorong Xie, Junquan Gu, Xiangfeng Luo, Hang Yu |
| 2025 | IJCNN | Test Time Prompt Adaption for Domain Generalization. | Haiting Zheng, Rui Ma, Shaorong Xie, Hang Yu |
| 2025 | ICTAI | CANA: Enhancing Graph-Based Fraud Detection via Confidence-Aware Neighborhood Aggregation. | Zujia Wang, Jianqi Gao, Hang Yu, Zhengyang Liu, Junquan Gu, Xiangfeng Luo, Xue Chen |
| 2025 | PRICAI | FLEX-AD: AutoML for Anomaly Detection via LLM-Guided Feature Generation and Selective Ensembling. | Zehao Gong, Junquan Gu, Xue Chen, Xiangfeng Luo, Zhengyang Liu, Hang Yu |
| 2025 | WWW | Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. | Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang |
| 2025 | WWW | A Masked AutoEncoder with Strong-Weak Mutual Information for Anomaly Detection in Dynamic Incomplete Graphs. | Junquan Gu, Hang Yu, Xiangfeng Luo |
| 2025 | WWW | Federated Graph Anomaly Detection via Disentangled Representation Learning. | Zhengyang Liu, Hang Yu, Xiangfeng Luo |
| 2025 | WWW | Enhancing Zero-Shot Knowledge Graph Relation Prediction through Large Language Models and Contrastive Learning. | Hang Yu, Haoyi Yu |
| 2025 | RO-MAN | See What I Mean? Expressiveness and Clarity in Robot Display Design. | Matthew Ebisu, Hang Yu, Reuben M. Aronson, Elaine Short |
| 2025 | RO-MAN | Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations. | Shijie Fang, Hang Yu, Qidi Fang, Reuben M. Aronson, Elaine Schaertl Short |
| 2025 | RO-MAN | CHARM: Considering Human Attributes for Reinforcement Modeling. | Qidi Fang, Hang Yu, Shijie Fang, Jindan Huang, Qiuyu Chen, Reuben M. Aronson, Elaine Schaertl Short |
| 2025 | SiggraphA | Poetry Space: Visualization of Poetry Recitation Emotions in VR. | Xuanmiao Zhang, Hang Yu, Jie Chen, Zhixiang Fu, Yong Hu |
| 2024 | AAAI | Barely Supervised Learning for Graph-Based Fraud Detection. | Hang Yu, Zhengyang Liu, Xiangfeng Luo |
| 2024 | ACL | D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. | Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang |
| 2024 | ACL | Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements. | Xiao Wei, Qi Xu, Hang Yu, Qian Liu, Erik Cambria |
| 2024 | CVPR | Shadow-Enlightened Image Outpainting. | Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu |
| 2024 | ECCV | BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression. | Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin |
| 2024 | ECCV | Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene. | Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng |
| 2024 | EMNLP | CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models. | Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li |
| 2024 | EMNLP | Guided Knowledge Generation with Language Models for Commonsense Reasoning. | Xiao Wei, Haoran Chen, Hang Yu, Hao Fei, Qian Liu |
| 2024 | EMNLP | Divide and Conquer: Legal Concept-guided Criminal Court View Generation. | Qi Xu, Xiao Wei, Hang Yu, Qian Liu, Hao Fei |
| 2024 | ICLR | AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification. | Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Yun Hu, Xinzhe Wang |
| 2024 | ICLR | Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression. | Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin |
| 2024 | ICML | DUPLEX: Dual GAT for Complex Embedding of Directed Graphs. | Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang |
| 2024 | IJCNN | How to Design or Learn Prompt for Domain Adaptation? | Cheng Jin, HaiTing Zheng, Hang Yu |
| 2024 | IJCNN | Homophilic and Heterophilic-Aware Sparse Graph Transformer for Financial Fraud Detection. | Xin Wang, Xiangfeng Luo, Xinzhi Wang, Hang Yu |
| 2024 | ICSE | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. | Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu |
| 2024 | KDD | MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. | Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li |
| 2024 | NAACL | COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion. | Jinpeng Li, Hang Yu, Xiangfeng Luo, Qian Liu |
| 2024 | PAKDD | Towards Multi-subsession Conversational Recommendation. | Yu Ji, Qi Shen, Shixuan Zhu, Hang Yu, Yiming Zhang, Chuan Cui, Zhihua Wei |
| 2024 | RO-MAN | How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots. | Hang Yu, Qidi Fang, Shijie Fang, Reuben M. Aronson, Elaine Schaertl Short |
| 2023 | ACL | ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification. | Kaihao Guo, Hang Yu, Cong Liao, Jianguo Li, Haipeng Zhang |
| 2023 | ACL | PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction. | Xiao Wei, Jianbao Huang, Hang Yu, Qian Liu |
| 2023 | CSCWD | Graph Pooling based Human Detection Method for Industrial Application. | Yinning Shao, Yukai Zhao, Hang Yu, Min Liu, Yunlong Ma |
| 2023 | ICONIP | OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction. | Lei Ren, Jie Chen, Tong Liu, Hang Yu |
| 2023 | IGARSS | MSAU-Net: Road Extraction Based on Multi-Headed Self-Attention Mechanism and U-Net with High Resolution Remote Sensing Images. | Hang Yu, Yuru Guo, Zhiheng Liu, Suiping Zhou, Chenyang Li, Wenjie Zhang, Wenjuan Qi |
| 2023 | IGARSS | Dehazing Method Based On Gaussian Weighted Image Fusion for Outdoor and Remote Sensing Images. | Hang Yu, Chenyang Li, Suiping Zhou, Yuru Guo, Zhongqing Yan, Rui Sheng |
| 2023 | IGARSS | A Lightweight Network for Multiscale SAR Ship Detection Under Complex Imagery Backgrounds. | Hang Yu, Shihang Yang, Zhiheng Liu, Suiping Zhou |
| 2023 | IJCNN | ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation. | Xueyuan Chen, Xiao Wei, Hang Yu, Xiangfeng Luo |
| 2023 | IJCNN | Event Extraction Based on the Fusion of Dynamic Prompt Information and Multi-Dimensional Features. | Yin Wang, Nan Xia, Xiangfeng Luo, Hang Yu |
| 2023 | IROS | From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning. | Hang Yu, Reuben M. Aronson, Katherine H. Allen, Elaine Schaertl Short |
| 2023 | ICRA | AvoidBench: A high-fidelity vision-based obstacle avoidance benchmarking suite for multi-rotors. | Hang Yu, Guido C. H. E. de Croon, Christophe De Wagter |
| 2023 | ICTAI | HCTA: Hierarchical Cooperative Task Allocation in Multi-Agent Reinforcement Learning. | Mengke Wang, Shaorong Xie, Xiangfeng Luo, Yang Li, Han Zhang, Hang Yu |
| 2023 | ISKE | Graph-Based Competence Model for Concept Drift Detection. | Yiping Sun, Yansen Yu, Cheng Jin, Qingyong Zhang, Weixu Liu, Hang Yu |
| 2023 | PAKDD | MIDFA: Memory-Based Instance Division and Feature Aggregation Network for Video Object Detection. | Qiaochuan Chen, Min Zhou, Hang Yu |
| 2022 | HCI | Intertwining History and Places: The Design of TongSEE Location-Based Augmented Reality Application for History Learning. | Wenjia Wang, Yate Ge, Hang Yu, Xu Lu, XueChen Li, Yao Cheng, Xiaohua Sun |
| 2022 | ICANN | IA-ICGCN: Integrating Prior Knowledge via Intra-event Association and Inter-event Causality for Chinese Causal Event Extraction. | Zhengming Zhao, Hang Yu, Xiangfeng Luo, Jianqi Gao, Xiao Xu, Shengming Guo |
| 2022 | ICLR | Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting. | Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar |
| 2022 | ICTAI | Learning from Suboptimal Demonstration via Trajectory-Ranked Adversarial Imitation. | Luyao Chen, Shaorong Xie, Tao Pang, Hang Yu, Xiangfeng Luo, Zhenyu Zhang |
| 2022 | ICTAI | Offline Reinforcement Learning via Policy Regularization and Ensemble Q-Functions. | Tao Wang, Shaorong Xie, Mingke Gao, Xue Chen, Zhenyu Zhang, Hang Yu |
| 2022 | ICTAI | Transfer Learning for Regression through Adaptive Gaussian Process. | Changhua Xu, Kai Yang, Xue Chen, Xiangfeng Luo, Hang Yu |
| 2022 | KSEM | DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction. | Hejian Gu, Hang Yu, Xiangfeng Luo |
| 2022 | PRICAI | Entity Representation by Neighboring Relations Topology for Inductive Relation Prediction. | Zhigui Chen, Hang Yu, Jinpeng Li, Xiangfeng Luo |
| 2021 | CSCWD | A Data-driven Decision-making Approach for Complex Product Design Based on Deep Learning. | Zou Lai, Siqin Fu, Hang Yu, Shulin Lan, Chen Yang |
| 2021 | HRI | Active Feedback Learning with Rich Feedback. | Hang Yu, Elaine Schaertl Short |
| 2021 | ICTAI | CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector. | Weiqiang Jin, Hang Yu, Xiangfeng Luo |
| 2021 | Tencon | Applying LETOR and Personalization to Search: a Trade Me Practice. | Hang Yu, John Earles |
| 2020 | ECCV | Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. | Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu |
| 2020 | ICASSP | Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization. | Songwei Wu, Hang Yu, Justin Dauwels |
| 2020 | ICPR | Pose-aware Multi-feature Fusion Network for Driver Distraction Recognition. | Mingyan Wu, Xi Zhang, Linlin Shen, Hang Yu |
| 2020 | IROS | Autonomous Obstacle Avoidance for UAV based on Fusion of Radar and Monocular Camera. | Hang Yu, Fan Zhang, Panfeng Huang, Chen Wang, Yuanhao Li |
| 2020 | SIGIR | Query Classification with Multi-objective Backoff Optimization. | Hang Yu, Lester Litchfield |
| 2019 | GLOBECOM | A Learning-Based Bandwidth Resource Allocation Method in Sliced 5G C-RAN. | Yihao Sun, Yaxin Wang, Hang Yu, Boren Guo, Xin Zhang |
| 2019 | ICASSP | Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection. | Songwei Wu, Hang Yu, Justin Dauwels |
| 2019 | ICCS | Parallel Parametric Linear Programming Solving, and Application to Polyhedral Computations. | Camille Coti, David Monniaux, Hang Yu |
| 2019 | ICDM | Video Saliency Detection with Gated CNN and Residual Architecture. | Hang Yu, Derong Chen, Jiulu Gong |
| 2019 | IJCNN | Query recommendation based on improved query flow graph | Jialu Xu, Feiyue Ye, Hang Yu, Bo Wang |
| 2019 | IJCNN | A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. | Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang |
| 2019 | MICCAI | Smartphone-Supported Malaria Diagnosis Based on Deep Learning. | Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani |
| 2019 | VTC | Variational Bayesian Point Set Registration. | Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels |
| 2019 | VTC | Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference. | Xiaoyue Jiang, Hang Yu, Michael Hoy, Justin Dauwels |
| 2019 | VTC | Implementation of C-RAN Architecture with CU-CP and CU-UP Separation Based on SDR/NFV. | Hang Yu, Chunli Ye, Yannan Yuan, Yihao Sun, Boren Guo, Xin Zhang |
| 2019 | WCNC | Implementation of C-RAN Architecture with CU/DU Split on a Flexible SDR Testbed. | Boren Guo, Chunli Ye, Hang Yu, Yihao Sun, Yaxin Wang, Yannan Yuan, Xin Zhang, Hongwen Yang |
| 2019 | SAS | An Efficient Parametric Linear Programming Solver and Application to Polyhedral Projection. | Hang Yu, David Monniaux |
| 2018 | IJCAI | Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. | Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan |
| 2018 | IJCAI | CSNN: An Augmented Spiking based Framework with Perceptron-Inception. | Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan |
| 2018 | PAKDD | An Incremental Dual nu-Support Vector Regression Algorithm. | Hang Yu, Jie Lu, Guangquan Zhang |
| 2018 | SECON | Multi-Gateway Polling for Nanonetworks under Dynamic IoT Backhaul Bandwidth. | Hang Yu, Bryan C. K. Ng, Winston Seah |
| 2018 | SYNASC | The Verified Polyhedron Library: an Overview. | Sylvain Boulm, Alexandre Marchal, David Monniaux, Michal Prin, Hang Yu |
| 2017 | CIS | A Comprehensive Study of Blind and Non-blind Deconvolution Methods Applied to Spectrum Extraction. | Hang Yu, Zhen Wang, Qian Yin, Ping Guo |
| 2017 | ICONIP | Pulsar Bayesian Model: A Comprehensive Astronomical Data Fitting Model. | Hang Yu, Qian Yin, Ping Guo |
| 2017 | ISKE | Learning a fuzzy decision tree from uncertain data. | Hang Yu, Jie Lu, Guangquan Zhang |
| 2017 | LCN | Pulse Arrival Scheduling for Nanonetworks Under Limited IoT Access Bandwidth. | Hang Yu, Bryan C. K. Ng, Winston K. G. Seah |
| 2016 | IPCCC | On-demand efficient polling for nanonetworks under dynamic IoT backhaul network conditions. | Hang Yu, Bryan C. K. Ng, Winston K. G. Seah |
| 2016 | ISIT | Variational Bayesian dynamic compressive sensing. | Hongwei Wang, Hang Yu, Michael Hoy, Justin Dauwels, Heping Wang |
| 2016 | ISIT | Latent tree ensemble of pairwise copulas for spatial extremes analysis. | Hang Yu, Junwei Huang, Justin Dauwels |
| 2016 | LCN | Opportunistic Geographic Forwarding in Wireless Sensor Networks for Critical Rare Events. | David C. Harrison, Winston K. G. Seah, Hang Yu, Ramesh Kumar Rayudu |
| 2016 | MSWIM | Anti-Starvation Channel Assignment With Global Conflict Set Selection in IEEE 802.11 WMNs. | Ying Qu, Bryan C. K. Ng, Hang Yu |
| 2015 | FUSION | Variational inference for graphical models of multivariate piecewise-stationary time series. | Hang Yu, Justin Dauwels |
| 2015 | ICASSP | Variational Bayes learning of multiscale graphical models. | Hang Yu, Justin Dauwels |
| 2015 | ISCAS | An 8-stage time delay integration CMOS image sensor with on-chip polarization pixels. | Hang Yu, Vigil Varghese, Xinyuan Qian, Menghan Guo, Shoushun Chen, Kay Soon Low |
| 2015 | ISKE | Research on Extract the Schema of Query Interfaces. | Hang Yu, Feiyue Ye |
| 2015 | WISE | Research on Automate Discovery of Deep Web Interfaces. | Feiyue Ye, Hang Yu |
| 2014 | ICASSP | Sensor fault detection by sparsity optimization. | Bingxuan Li, Hang Yu, Justin Dauwels, Kay Soon Low |
| 2014 | ICASSP | Extreme-value graphical models with multiple covariates. | Hang Yu, Jingjing Cheng, Justin Dauwels |
| 2014 | ICASSP | Network inference and change point detection for piecewise-stationary time series. | Hang Yu, Chenyang Li, Justin Dauwels |
| 2014 | ICASSP | Modeling spatial extremes via ensemble-of-trees of pairwise copulas. | Hang Yu, Wayne Isaac T. Uy, Justin Dauwels |
| 2014 | ISIT | Spatio-temporal graphical models for extreme events. | Hang Yu, Liaofan Zhang, Justin Dauwels |
| 2014 | MOBICOM | Combating inter-cell interference in 802.11ac-based multi-user MIMO networks. | Hang Yu, Oscar Bejarano, Lin Zhong |
| 2013 | ICASSP | Copula Gaussian graphical model for discrete data. | Justin Dauwels, Hang Yu, Shiyan Xu, Xueou Wang |
| 2013 | MOBICOM | ArgosV2: a flexible many-antenna research platform. | Clayton Shepard, Hang Yu, Lin Zhong |
| 2012 | FUSION | Modeling extreme events in spatial domain by copula graphical models. | Hang Yu, Zheng Choo, Wayne Isaac T. Uy, Justin Dauwels, Philip Jonathan |
| 2012 | FUSION | Copula Gaussian multiscale graphical models with application to geophysical modeling. | Hang Yu, Justin Dauwels, Xu Zhang, Shiyan Xu, Wayne Isaac T. Uy |
| 2012 | ICASSP | Copula Gaussian graphical models with hidden variables. | Hang Yu, Justin Dauwels, Xueou Wang |
| 2012 | ISCAS | A Time-Delay-Integration CMOS image sensor with pipelined charge transfer architecture. | Hang Yu, Xinyuan Qian, Shoushun Chen, Kay Soon Low |
| 2012 | ISIT | Modeling spatially-dependent extreme events with Markov random field priors. | Hang Yu, Zheng Choo, Justin Dauwels, Philip Jonathan, Qiao Zhou |
| 2012 | MOBICOM | Argos: practical many-antenna base stations. | Clayton Shepard, Hang Yu, Narendra Anand, Li Erran Li, Thomas L. Marzetta, Yang Richard Yang, Lin Zhong |
| 2011 | ADMA | Fully Utilize Feedbacks: Language Model Based Relevance Feedback in Information Retrieval. | Sheng-Long Lv, Zhi-Hong Deng, Hang Yu, Ning Gao, Jia-Jian Jiang |
| 2011 | ISTAS | An ontology to integrate multiple information domains in the patent system. | Siddharth Taduri, Gloria T. Lau, Kincho H. Law, Hang Yu, Jay P. Kesan |
| 2011 | MOBICOM | Beamforming on mobile devices: a first study. | Hang Yu, Lin Zhong, Ashutosh Sabharwal, David T. H. Kao |
| 2011 | PAKDD | ListOPT: Learning to Optimize for XML Ranking. | Ning Gao, Zhi-Hong Deng, Hang Yu, Jia-Jian Jiang |
| 2010 | APWEB | Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search. | Hang Yu, Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao, Ming Zhang, Shiwei Tang |
| 2010 | ICNC | An amelioration Particle Swarm Optimization algorithm. | Huayong Xie, Mingqing Xiao, Bin Hu, Hang Yu |
| 2009 | APWEB | XTree: A New XML Keyword Retrieval Model. | Cong-Rui Ji, Zhi-Hong Deng, Yong-Qing Xiang, Hang Yu, Shi-Wei Tang |
| 2009 | ISCAS | A 10Gb/s Wire-line Transceiver with Half Rate Period Calibration CDR. | Zhuo Gao, Hang Yu, Patrick Chiang, Yi Yang, Feng Zhang |
| 2009 | ISLPED | Adaptive RF chain management for energy-efficient spatial-multiplexing MIMO transmission. | Hang Yu, Lin Zhong, Ashutosh Sabharwal |
| 2008 | ICIP | Recaptured photo detection using specularity distribution. | Hang Yu, Tian-Tsong Ng, Qibin Sun |
| 2006 | EDOC | Web Service Testing Method Based on Fault-coverage. | Wen-Li Dong, Hang Yu |
| 2006 | EDOC | Optimizing Web Service Composition Based on QoS Negotiation. | Wen-Li Dong, Hang Yu |
| 2006 | EDOC | Testing BPEL-based Web Service Composition Using High-level Petri Nets. | Wen-Li Dong, Hang Yu, Yu-Bing Zhang |
| 2006 | ICPR | String Kernels for Matching Seriated Graphs. | Hang Yu, Edwin R. Hancock |
| 2005 | CAIP | Eigenspaces from Seriated Graphs. | Hang Yu, Edwin R. Hancock |
| 2005 | CIS | Clonal Selection Algorithm with Immunologic Regulation for Function Optimization. | Hang Yu, Maoguo Gong, Licheng Jiao, Bin Zhang |
| 2005 | IBPRIA | Machine Learning with Seriated Graphs. | Hang Yu, Edwin R. Hancock |
| 2005 | MMSP | Perceptual Weighting in LSP-Based Multi-Description Coding for Real-Time Low-Bit-Rate Voice Over IP. | Dong Lin, Benjamin Wan-Sang Wah, Hang Yu |
| 2004 | BMVC | Graph Matching using Spectral Embedding and Semidefinite Programming. | Xiao Bai, Hang Yu, Edwin R. Hancock |
| 2004 | ICIP | Rotation of foveated image in the wavelet domain. | Hang Yu, Vu-Thanh Nguyen, Ee-Chien Chang |
| 2004 | ICPR | Graph Matching using Spectral Embedding and Alignment. | Xiao Bai, Hang Yu, Edwin R. Hancock |
| 2004 | WSC | Two-Step 3-Dimensional Sketching Tool for New Product Development. | Ali Akgunduz, Hang Yu |
| 2003 | KDD | Distributed multivariate regression based on influential observations. | Hang Yu, Ee-Chien Chang |