| 2026 | AAAI | MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting. | Binqing Wu, Weiqi Chen, Shiyu Liu, Zongjiang Shang, Haiou Wang, Liang Sun, Ling Chen |
| 2026 | SIGIR | LLM-Oriented Information Retrieval: A Denoising-First Perspective. | Lu Dai, Liang Sun, Fanpu Cao, Ziyang Rao, Cehao Yang, Hao Liu, Hui Xiong |
| 2025 | CIKM | SolarMAE: A Unified framework for Regional Centralized and Distributed Solar Power Forecasting with Weather Pre-training. | Jin Wang, Bingqing Peng, Wenwei Wang, Yuanjie Hu, Yuejiang Chen, Peisong Niu, Liang Sun |
| 2025 | ICASSP | Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. | Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian |
| 2025 | ICASSP | Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. | Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin |
| 2025 | ICLR | DeeperForward: Enhanced Forward-Forward Training for Deeper and Better Performance. | Liang Sun, Yang Zhang, Weizhao He, Jiajun Wen, Linlin Shen, Weicheng Xie |
| 2025 | ICML | A Non-isotropic Time Series Diffusion Model with Moving Average Transitions. | Chenxi Wang, Linxiao Yang, Zhixian Wang, Liang Sun, Yi Wang |
| 2025 | IJCAI | Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey. | Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Song |
| 2025 | IJCAI | Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting. | Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun |
| 2025 | IJCAI | SCNNs: Spike-based Coupling Neural Networks for Understanding Structural-Functional Relationships in the Human Brain. | Shaolong Wei, Shu Jiang, Mingliang Wang, Liang Sun, Haonan Rao, Weiping Ding, Jiashuang Huang |
| 2025 | IJCNN | CGMSF-SAR:Context-Guided and Multi-Scale Fusion Lightweight SAR Ship Detection Model. | Meng Chen, Shunxiang Zhang, Guangli Zhu, Yang Xu, Liang Sun, Jiaqi Liu |
| 2025 | INDIN | Virtualization Native Cloud Data Center Network. | Zhangfeng Hu, Xue Xiao, Yao Chen, Gang Wang, Yanjun Li, Qiuzheng Ren, Xiong Li, Liang Sun |
| 2025 | IWCMC | Neurosymbolic Approach for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks. | Kamal Acharya, Mehul Lad, Liang Sun, Houbing Song |
| 2025 | KDD | Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. | Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun |
| 2025 | KDD | EMD-Period: Detecting Multi-periodicity in Industrial Cloud Clusters via Time-Frequency Decomposition. | Qiming Chen, Yingying Zhang, Qingsong Wen, Liang Sun |
| 2025 | KDD | Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. | Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun |
| 2025 | KDD | Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model. | Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun |
| 2025 | KDD | When Interpretability Meets Generalization: Delta-GAM for Robust Extrapolation in Out-of-Distribution Settings. | Linxiao Yang, Wenwei Wang, Qiming Chen, Zhipeng Zeng, Liang Sun |
| 2024 | CIKM | Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud. | Chaoli Zhang, Yingying Zhang, Lanshu Peng, Qingsong Wen, Yiyuan Yang, Chong-Jiong Fan, Minqi Jiang, Lunting Fan, Liang Sun |
| 2024 | CVPR | APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation. | Weizhao He, Yang Zhang, Wei Zhuo, Linlin Shen, Jiaqi Yang, Songhe Deng, Liang Sun |
| 2024 | ICASSP | Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. | Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu |
| 2024 | ICASSP | RobustTSVar: A Robust Time Series Variance Estimation Algorithm. | Zhiqiang Zhou, Linxiao Yang, Qingsong Wen, Liang Sun |
| 2024 | ICLR | RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. | Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun |
| 2024 | ICML | BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. | Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun |
| 2024 | ICML | Explain Temporal Black-Box Models via Functional Decomposition. | Linxiao Yang, Yunze Tong, Xinyue Gu, Liang Sun |
| 2024 | IJCAI | WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction. | Binqing Wu, Weiqi Chen, Wengwei Wang, Bingqing Peng, Liang Sun, Ling Chen |
| 2024 | INDIN | Research on Detection of Floating Objects on Water Surface Based on Faster-RCNN. | Penglin Wei, Liru Hua, Shu Yang, Liang Sun, Ruibo Tang, Pengying Zhou, Mo Chen |
| 2024 | ICSE | SLIM: a Scalable Light-weight Root Cause Analysis for Imbalanced Data in Microservice. | Rui Ren, Jingbang Yang, Linxiao Yang, Xinyue Gu, Liang Sun |
| 2024 | IWCMC | Semantic Knowledge Consensus for Multi-agent Collaboration: A Naming Game Approach. | Hongyu Gu, Xinyue Qi, Liang Sun, Yang Zhang |
| 2024 | KDD | FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting. | Ziqing Ma, Wenwei Wang, Tian Zhou, Chao Chen, Bingqing Peng, Liang Sun, Rong Jin |
| 2024 | KDD | Efficient Decision Rule List Learning via Unified Sequence Submodular Optimization. | Linxiao Yang, Jingbang Yang, Liang Sun |
| 2024 | KDD | CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect. | Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen |
| 2024 | SDM | Stable Synthetic Control with Anomaly Detection for Causal Inference. | Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen |
| 2023 | AAAI | AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. | Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang |
| 2023 | AAAI | eForecaster: Unifying Electricity Forecasting with Robust, Flexible, and Explainable Machine Learning Algorithms. | Zhaoyang Zhu, Weiqi Chen, Rui Xia, Tian Zhou, Peisong Niu, Bingqing Peng, Wenwei Wang, Hengbo Liu, Ziqing Ma, Qingsong Wen, Liang Sun |
| 2023 | CIKM | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. | Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian |
| 2023 | ICASSP | SADI: A Self-Adaptive Decomposed Interpretable Framework for Electric Load Forecasting Under Extreme Events. | Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun |
| 2023 | ICASSP | Robust Dominant Periodicity Detection for Time Series with Missing Data. | Qingsong Wen, Linxiao Yang, Liang Sun |
| 2023 | IJCAI | Transformers in Time Series: A Survey. | Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun |
| 2023 | KDD | Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting. | Linxiao Yang, Rui Ren, Xinyue Gu, Liang Sun |
| 2023 | KDD | DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection. | Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun |
| 2023 | QRS | OpenMP Program Verification Based on Bounded Model Checking. | Liang Sun, Bailin Lu, Liangze Yin, Zhe Bu, Wenjing Jin |
| 2023 | SEKE | Research on Directed Grey-box Fuzzing Technology Based on Target (S). | Liang Sun, Peng Wu, Shaoxian Shu |
| 2022 | AAAI | A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. | Yan Li, Rui Xia, Chunchen Liu, Liang Sun |
| 2022 | CEC | Random Learning Particle Swarm Optimization with Quasi-Newton Exploitation Mechanism. | Xia Wang, Hongwei Ge, Liang Sun, Xinming Zhang |
| 2022 | CIKM | Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. | Xiaomin Song, Qingsong Wen, Yan Li, Liang Sun |
| 2022 | CIKM | TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis. | Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun |
| 2022 | ICASSP | Netrca: An Effective Network Fault Cause Localization Algorithm. | Chaoli Zhang, Zhiqiang Zhou, Yingying Zhang, Linxiao Yang, Kai He, Qingsong Wen, Liang Sun |
| 2022 | ICDE | RobustScaler: QoS-Aware Autoscaling for Complex Workloads. | Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang |
| 2022 | ICML | FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. | Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin |
| 2022 | KDD | Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting. | Weiqi Chen, Wenwei Wang, Bingqing Peng, Qingsong Wen, Tian Zhou, Liang Sun |
| 2022 | KDD | Robust Time Series Analysis and Applications: An Industrial Perspective. | Qingsong Wen, Linxiao Yang, Tian Zhou, Liang Sun |
| 2021 | CIKM | CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. | Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke |
| 2021 | DAC | ADROIT: An Adaptive Dynamic Refresh Optimization Framework for DRAM Energy Saving In DNN Training. | Xinhan Lin, Liang Sun, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei, Shouyi Yin |
| 2021 | HPCC | SA_3AM: A Novel Sentiment Analysis Approach Integrating Three-Level Attention Mechanism. | Qingren Wang, Liang Sun, Jie Cui, Jing Zhang |
| 2021 | ICASSP | Two-Stage Framework for Seasonal Time Series Forecasting. | Qingyang Xu, Qingsong Wen, Liang Sun |
| 2021 | ICASSP | A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. | Linxiao Yang, Qingsong Wen, Bo Yang, Liang Sun |
| 2021 | IJCAI | Time Series Data Augmentation for Deep Learning: A Survey. | Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu |
| 2021 | IROS | An Optical Spatial Localization System for Tracking Unmanned Aerial Vehicles Using a Single Dynamic Vision Sensor. | Hunter Stuckey, Amer Al-Radaideh, Leonardo Escamilla, Liang Sun, Luis Rodolfo Garca Carrillo, Wei Tang |
| 2021 | QRS | An Interactive Ranking Algorithm for Program Static Analysis. | Liang Sun, Wenfeng Lin, Shaoxian Shu, Liuying Li |
| 2021 | SIGMOD | RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. | Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu |
| 2020 | ICASSP | On Robust Variance Filtering and Change of Variance Detection. | Qingsong Wen, Zhengzhi Ma, Liang Sun |
| 2020 | ICONIP | Perceived Image Reconstruction from Human Brain Activity via Time-Series Information Guided Generative Adversarial Networks. | Shuo Huang, Liang Sun, Muhammad Yousefnezhad, Meiling Wang, Daoqiang Zhang |
| 2020 | IJCNN | Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification. | Hongwei Ge, Kai Zhang, Yaqing Hou, Chao Yu, Mingde Zhao, Zhen Wang, Liang Sun |
| 2020 | KDD | Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. | Qingsong Wen, Zhe Zhang, Yan Li, Liang Sun |
| 2019 | AAAI | Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. | Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | AAAI | RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. | Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu |
| 2019 | GLOBECOM | Secrecy Performance Analysis for An-Aided Linear ZFBF in MU-MIMO Systems with Limited Feedback. | Lu Cao, Zhiyao Tang, Liang Sun, Zhenni Pan, Shigeru Shimamoto, Yong Feng |
| 2019 | ICCV | Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style. | Hongwei Ge, Zehang Yan, Kai Zhang, Mingde Zhao, Liang Sun |
| 2019 | IJCAI | RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering. | Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Jian Tan |
| 2019 | IJCNN | Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation. | Hongwei Ge, Weiting Sun, Mingde Zhao, Kai Zhang, Liang Sun, Chao Yu |
| 2019 | IJCNN | Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning. | Hongwei Ge, Mingde Zhao, Kai Zhang, Liang Sun |
| 2019 | KDD | Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. | Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | MICCAI | Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. | Jingjiao Lou, Dengwang Li, Toan Duc Bui, Fenqiang Zhao, Liang Sun, Gang Li, Dinggang Shen |
| 2018 | ACCV | Unsupervised Transformation Network Based on GANs for Target-Domain Oriented Multi-domain Image Translation. | Hongwei Ge, Yao Yao, Zheng Chen, Liang Sun |
| 2018 | CEC | A Many-Objective Evolutionary Algorithm with Fast Clustering and Reference Point Redistribution. | Mingde Zhao, Hongwei Ge, Hongyan Han, Liang Sun |
| 2018 | GLOBECOM | On Secure Transmission Design: An Information Leakage Perspective. | Yong Huang, Wei Wang, Biao He, Liang Sun, Tao Jiang |
| 2018 | MICCAI | Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. | Wei Shao, Jun Cheng, Liang Sun, Zhi Han, Qianjin Feng, Daoqiang Zhang, Kun Huang |
| 2018 | MICCAI | Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. | Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin, Dinggang Shen, Gang Li |
| 2018 | PRICAI | Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs. | Chao Yu, Dongxu Wang, Jiankang Ren, Hongwei Ge, Liang Sun |
| 2017 | ICNC | NMF-based stochastic models for multi-label propagation. | Liang Sun, Hongwei Ge, Weiting Sun |
| 2017 | PIMRC | Multiceli interference coordination strategy based on hybrid channel information. | Jinyi Huang, Liang Sun, Chenyang Yang, Shengqian Han |
| 2017 | VTC | On the Average Rate and Power Allocation of Uplink Multi-Antenna NOMA Systems. | Jinling Dai, Liang Sun, Chenyang Yang |
| 2016 | CEC | Intelligent scheduling in flexible job shop environments based on artificial fish swarm algorithm with estimation of distribution. | Hongwei Ge, Liang Sun |
| 2016 | ICCCN | A Joint Duty Cycle and Network Coding MAC Protocol for Underwater Wireless Sensor Networks. | Zhenquan Qin, Yingxiao Sun, Liang Sun, Lei Shu, Lei Wang, Wenzhe Zhang, Bingxian Lu |
| 2016 | ICNC | Adaptive hybrid differential evolution with circular sliding window for large scale optimization. | Hongwei Ge, Liang Sun, Xin Yang |
| 2016 | IGARSS | Daily mapping of Landsat-like LAI and correlation to grape yield. | Liang Sun, Feng Gao, Martha C. Anderson, Wayne P. Dulaney, Lynn G. McKee, Alex White, William P. Kustas, Joe Alfteri, John H. Prueger |
| 2016 | IGARSS | Longterm daily fieldscale evapotranspiration estimation using multisatellite data fusion in an intensively drained agricultural area in South Dakota, USA. | Yun Yang, Martha C. Anderson, Feng Gao, William P. Kustas, Christopher Hain, Tilden Meyers, Tim Wilson, Liang Sun, Yang Yang |
| 2016 | IGARSS | Study of water use in agricultural landscapes at high spatiotemporal resulotion. | Yang Yang, Martha C. Anderson, Feng Gao, Yun Yang, Liang Sun |
| 2016 | IGARSS | Mapping evapotranspiration at multiple scales using multi-sensor data fusion. | Martha C. Anderson, Christopher Hain, Feng Gao, William P. Kustas, Yun Yang, Liang Sun, Yang Yang, Thomas Holmes, Wayne P. Dulaney |
| 2015 | ACL | Parse Imputation for Dependency Annotations. | Jason Mielens, Liang Sun, Jason Baldridge |
| 2015 | GLOBECOM | Acoustic Source Localization with Distributed Smartphone Arrays. | Jinghong Huang, Naigao Jin, Lei Wang, Xue Chen, Xia Sheng, Shuailing Yang, Xiangyu Zhao, Liang Sun, Ming Zhu |
| 2015 | MICCAI | Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. | Liang Sun, Chen Zu, Daoqiang Zhang |
| 2015 | VTC | A Vehicular Positioning Enhancement with Connected Vehicle Assistance. | Xuting Duan, Yunpeng Wang, Daxin Tian, Liang Sun, David G. Michelson, Victor C. M. Leung |
| 2014 | EMNLP | Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations. | Liang Sun, Jason Mielens, Jason Baldridge |
| 2014 | ICCCN | UPMAC: A localized load-adaptive MAC protocol for underwater acoustic networks. | Wenzhe Zhang, Zhenquan Qin, Jiajun Xin, Lei Wang, Ming Zhu, Liang Sun, Lei Shu |
| 2014 | ICNC | A hierarchical particle swarm optimizer with random social cognition for large scale global optimization. | Hong-Wei Ge, Zheng Ma, Liang Sun |
| 2014 | IROS | A cooperative formation control strategy maintaining connectivity of a multi-agent system. | Rajdeep Dutta, Liang Sun, Mangal Kothari, Rajnikant Sharma, Daniel J. Pack |
| 2014 | VTC | A Dynamic Clustering Algorithm Design for C-RAN Based on Multi-Objective Optimization Theory. | Xi Chen, Na Li, Jing Wang, Chengwen Xing, Liang Sun, Ming Lei |
| 2014 | VTC | Low Information-Exchange and Robust Distributed MMSE Precoding Algorithm for C-RAN. | Na Li, Chengwen Xing, Zesong Fei, Liang Sun, Ming Lei |
| 2014 | VTC | Distributed MMSE Beamforming Design for Relay-Assisted C-RAN. | Na Li, Chengwen Xing, Zesong Fei, Liang Sun, Ming Lei |
| 2012 | ACSSC | Tomlinson-Harashima precoding for multiuser MIMO systems with quantized CSI feedback. | Liang Sun, Ming Lei, Derrick Wing Kwan Ng |
| 2012 | FUSION | A clustering algorithm based on FR-ENN for situation awareness. | Liang Sun, Jia-Zhou He, Yan Chen |
| 2012 | GLOBECOM | Adaptive joint nonlinear transmit-receive processing for multi-cell MIMO networks. | Liang Sun, Ming Lei |
| 2012 | ICNC | A bacterial foraging strategy-based recurrent neural network for identifying and controlling nonlinear systems. | Hong-Wei Ge, Liang Sun |
| 2012 | PIMRC | Tomlinson-Harashima precoding for multiuser MIMO systems: Sum rate analysis with quantized CSI and user scheduling. | Liang Sun, Ming Lei |
| 2011 | ACSSC | Transmitter optimization for MIMO systems with mutual coupling at high SNR. | Peng Li, Liang Sun, Matthew R. McKay, Ross D. Murch |
| 2011 | MICCAI | Sparse Dose Painting Based on a Dual-Pass Kinetic-Oxygen Mapping of Dynamic PET Images. | Kuangyu Shi, Sabrina T. Astner, Liang Sun, Nassir Navab, Fridtjof Nsslin, Peter Vaupel, Jan J. Wilkens |
| 2011 | PIMRC | On the ergodic secrecy rate of multiple-antenna wiretap channels using artificial noise and finite-rate feedback. | Liang Sun, Shi Jin |
| 2010 | KDD | A scalable two-stage approach for a class of dimensionality reduction techniques. | Liang Sun, Betul Ceran, Jieping Ye |
| 2009 | GLOBECOM | Eigenmode Transmission for the MIMO Broadcast Channel with Semi-Orthogonal User Selection. | Liang Sun, Matthew R. McKay |
| 2009 | ICML | A least squares formulation for a class of generalized eigenvalue problems in machine learning. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2009 | IJCAI | On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares. | Liang Sun, Shuiwang Ji, Shipeng Yu, Jieping Ye |
| 2009 | IJCAI | Multiclass Probabilistic Kernel Discriminant Analysis. | Zheng Zhao, Liang Sun, Shipeng Yu, Huan Liu, Jieping Ye |
| 2009 | KDD | Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation. | Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye |
| 2008 | GLOBECOM | MIMO Multichannel Beamforming: Analysis in the Presence of Rayleigh Fading, Unbalanced Interference and Noise. | Liang Sun, Matthew R. McKay, Shi Jin |
| 2008 | ICML | A least squares formulation for canonical correlation analysis. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2008 | ICNC | Analysis of Cointegration between Macroeconomic Variables and Stock Index. | Yan-chun Liu, Liang Sun |
| 2008 | KDD | Hypergraph spectral learning for multi-label classification. | Liang Sun, Shuiwang Ji, Jieping Ye |
| 2006 | CSCWD | A Willing-to-Share Based Incentive Mechanism for File Sharing P2P Networks. | Liang Sun, Shiduan Cheng, Yu Lin, Wendong Wang |
| 2006 | FUSION | Knowledge discovery-based multiple classifier fusion: a generalized rough set method. | Liang Sun, Chongzhao Han, Ming Lei |