A New Keywords Method to Improve Web Search. - Chongchong Zhao; Zhiqiang Zhang 010; Xiaoqin Xie; Tingting Liang (HPCC, 2010)

Collaborative QoS Prediction via Matrix Factorization and Topic Model. - Tingting Liang; Lichuan Ji; Liang Chen 001; Jian Wu 001; Zhaohui Wu 001 (SOCA, 2013)

A smart remaining battery life prediction based on MARS. - Xi Xia; Weida Xu; Xinxin Bai; Xiaoguang Rui; Haifeng Wang; Jan Forster; Yinming Wang; Xihui Zhao; Xiangfu Kong; Tingting Liang (ISGT, 2014)

Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation. - Liang Chen 001; Yilun Wang; Tingting Liang; Lichuan Ji; Jian Wu 001 (PAKDD (1), 2014)

Co-Clustering WSDL Documents to Bootstrap Service Discovery. - Tingting Liang; Liang Chen 001; Haochao Ying; Jian Wu 001 (SOCA, 2014)

Crowdsourcing Based API Search via Leveraging Twitter Lists Information. - Tingting Liang; Liang Chen 001; Haochao Ying; Zibin Zheng; Jian Wu 001 (ICDM Workshops, 2015)

CASE: A Platform for Crowdsourcing Based API Search. - Tingting Liang; Liang Chen 001; Zhining Xie; Wei Yang; Jian Wu 001 (ICSOC, 2015)

Understanding Air Quality Challenges Through Simulation and Big Data Science for Low-Load Homes. - Haiyan Xie; Tingting Liang; Hui Li; Yao Shi (IScIDE (2), 2015)

Performance Analysis of Routing Algorithms Based on Intelligent Optimization Algorithms in Cluster Ad Hoc Network. - Chenguang He; Tingting Liang; Shouming Wei; Weixiao Meng 001 (ChinaCom (1), 2016)

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub. - Haochao Ying; Liang Chen 001; Tingting Liang; Jian Wu 001 (CSI-SE@ICSE, 2016)

Meta-Path Based Service Recommendation in Heterogeneous Information Networks. - Tingting Liang; Liang Chen 001; Jian Wu 001; Hai Dong; Athman Bouguettaya (ICSOC, 2016)

Exploiting Heterogeneous Information for Tag Recommendation in API Management. - Tingting Liang; Liang Chen 001; Jian Wu 001; Athman Bouguettaya (ICWS, 2016)

An ant colony-based direct communication model routing algorithm for wireless emergency communications system. - Chenguang He; Tingting Liang; Weixiao Meng 001; Chunpeng Liu (IWCMC, 2016)

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. - Yao Wan 001; Liang Chen 001; Qi Yu 001; Tingting Liang; Jian Wu 001 (PAKDD (1), 2016)

A Broad Learning Approach for Context-Aware Mobile Application Recommendation. - Tingting Liang; Lifang He 001; Chun-Ta Lu; Liang Chen 001; Philip S. Yu; Jian Wu 001 (ICDM, 2017)

Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization. - Tingting Liang; Liang Chen 001; Xingde Ying; Philip S. Yu; Jian Wu 001; Zibin Zheng (ICWS, 2017)

Three-Dimensional Impact Angle Constrained Partial Integrated Guidance and Control With Finite-Time Convergence. - Chao Lai; Weihong Wang; Zhenghua Liu; Tingting Liang; Shenao Yan (IEEE Access, 2018)

Pyramidal region context module for semantic segmentation. - Tingting Liang; Qijie Zhao; Zhuoying Wang; Kaiyu Shan; Huan Zhang; Yongtao Wang; Zhi Tang 001 (ACM TUR-C, 2019)

Relay-based Cooperative Communication Framework for Narrowband Internet of Things. - Guisong Yang; Tingting Liang; Xingyu He; Yan Song 002; Chunxue Wu (ICCE-TW, 2019)

Exploiting User Tagging for Web Service Co-Clustering. - Tingting Liang; Yishan Chen; Wei Gao 001; Ming Chen; Meilian Zheng; Jian Wu 001 (IEEE Access, 2019)

MFPN: A Novel Mixture Feature Pyramid Network of Multiple Architectures for Object Detection. - Tingting Liang; Yongtao Wang; Qijie Zhao; Huan Zhang; Zhi Tang 001; Haibin Ling (CoRR, 2019)

Global and Local Reliability-Based Routing Protocol for Wireless Sensor Networks. - Guisong Yang; Tingting Liang; Xingyu He; Naixue Xiong (IEEE Internet Things J., 2019)

SMS: A Framework for Service Discovery by Incorporating Social Media Information. - Tingting Liang; Liang Chen 001; Jian Wu 001; Guandong Xu; Zhaohui Wu 001 (IEEE Trans. Serv. Comput., 2019)

Time-aware metric embedding with asymmetric projection for successive POI recommendation. - Haochao Ying; Jian Wu 001; Guandong Xu; Yanchi Liu; Tingting Liang; Xiao Zhang 015; Hui Xiong 001 (World Wide Web, 2019)

CBNet: A Novel Composite Backbone Network Architecture for Object Detection. - Yudong Liu; Yongtao Wang; Siwei Wang 001; Tingting Liang; Qijie Zhao; Zhi Tang 001; Haibin Ling (AAAI, 2020)

Low-shot Learning in Natural Language Processing. - Congying Xia; Chenwei Zhang; Jiawei Zhang 001; Tingting Liang; Hao Peng 001; Philip S. Yu (CogMI, 2020)

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (COLING, 2020)

Green Tide Information Extraction Based on Multi-source Remote Sensing Data. - Tingting Liang; Lina Ke; Jianchao Fan; Jianhua Zhao (ICACI, 2020)

Joint Training Capsule Network for Cold Start Recommendation. - Tingting Liang; Congying Xia; Yuyu Yin; Philip S. Yu (SIGIR, 2020)

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion. - Kaiyu Shan; Yongtao Wang; Zhuoying Wang; Tingting Liang; Zhi Tang 001; Ying Chen; Yangyan Li (CoRR, 2020)

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Pattern recognition of decorative elements based on neural network. - Tingting Liang; Zhaoguo Liu; Wenzhan Wang (J. Intell. Fuzzy Syst., 2020)

Traditional village protection based on big data under the impact of COVID-19. - Zhaoguo Liu; Tingting Liang; Wenzhan Wang (J. Intell. Fuzzy Syst., 2020)

CAMAR: a broad learning based context-aware recommender for mobile applications. - Tingting Liang; Lifang He 001; Chun-Ta Lu; Liang Chen 001; Haochao Ying; Philip S. Yu; Jian Wu 001 (Knowl. Inf. Syst., 2020)

Multi-view factorization machines for mobile app recommendation based on hierarchical attention. - Tingting Liang; Lei Zheng 001; Liang Chen 001; Yao Wan 001; Philip S. Yu; Jian Wu 001 (Knowl. Based Syst., 2020)

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection. - Tingting Liang; Yongtao Wang; Zhi Tang 001; Guosheng Hu; Haibin Ling (CVPR, 2021)

Analysis and Design of Online Nursing Examination System in Artificial Intelligence Era. - Tingting Liang; Zhaoming Huang; Ping Liu (ICAIIS, 2021)

Mobile app recommendation via heterogeneous graph neural network in edge computing. - Tingting Liang; Xuan Sheng; Li Zhou 008; Youhuizi Li; Honghao Gao; Yuyu Yin; Liang Chen 001 (Appl. Soft Comput., 2021)

CBNetV2: A Composite Backbone Network Architecture for Object Detection. - Tingting Liang; Xiaojie Chu; Yudong Liu; Yongtao Wang; Zhi Tang 001; Wei Chu; Jingdong Chen; Haibin Ling (CoRR, 2021)

Analysis of communication reliability in NarrowBand-IoT oriented wireless sensor networks. - Xingyu He; Tingting Liang; Zhao Zhang 002; Guisong Yang; Linghe Kong; Ming Liu 001 (IET Commun., 2021)

A semi-supervised deep convolutional framework for signet ring cell detection. - Haochao Ying; Qingyu Song 004; Jintai Chen; Tingting Liang; Jingjing Gu; Fuzhen Zhuang; Danny Z. Chen; Jian Wu 001 (Neurocomputing, 2021)

Leveraging Data Augmentation for Service QoS Prediction in Cyber-physical Systems. - Yuyu Yin; Haoran Xu; Tingting Liang; Manman Chen; Honghao Gao; Antonella Longo (ACM Trans. Internet Techn., 2021)

A Blockchain-Based Incremental Update Supported Data Storage System for Intelligent Vehicles. - Yuyu Yin; Youhuizi Li; Bingyue Ye; Tingting Liang; Yu Li 015 (IEEE Trans. Veh. Technol., 2021)

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation. - Wanjie Tao; Yu Li 015; Liangyue Li; Zulong Chen; Hong Wen 002; Peilin Chen; Tingting Liang; Quan Lu (AAAI, 2022)

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. - Tingting Liang; Hongwei Xie; Kaicheng Yu; Zhongyu Xia; Zhiwei Lin; Yongtao Wang; Tao Tang; Bing Wang; Zhi Tang 001 (NeurIPS, 2022)

Multifaceted Improvements for Conversational Open-Domain Question Answering. - Tingting Liang; Yixuan Jiang; Congying Xia; Ziqiang Zhao; Yuyu Yin; Philip S. Yu (CoRR, 2022)

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. - Kaicheng Yu; Tao Tang; Hongwei Xie; Zhiwei Lin; Zhongwei Wu; Zhongyu Xia; Tingting Liang; Haiyang Sun; Jiong Deng; Dayang Hao; Yongtao Wang; Xiaodan Liang; et al. (CoRR, 2022)

FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Zhiwei Lin; Tingting Liang; Taihong Xiao; Yongtao Wang; Zhi Tang 001; Ming-Hsuan Yang 001 (CoRR, 2022)

Content-aware Recommendation via Dynamic Heterogeneous Graph Convolutional Network. - Tingting Liang; Lin Ma 002; Weizhong Zhang; Haoran Xu; Congying Xia; Yuyu Yin (Knowl. Based Syst., 2022)

Recurrent Neural Network Based Collaborative Filtering for QoS Prediction in IoV. - Tingting Liang; Manman Chen; Yuyu Yin; Li Zhou 008; Haochao Ying (IEEE Trans. Intell. Transp. Syst., 2022)

Multi-dimensional Sequential Contrastive Learning for QoS Prediction. - Yuyu Yin; Qianhui Di; Yuanqing Zhang; Tingting Liang; Youhuizi Li; Yu Li 015 (CollaborateCom (2), 2023)

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. - Kaicheng Yu; Tang Tao; Hongwei Xie; Zhiwei Lin; Tingting Liang; Bing Wang; Peng Chen; Dayang Hao; Yongtao Wang; Xiaodan Liang (CVPR Workshops, 2023)

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. - Jiangshu Du; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu (IJCNLP (2), 2023)

Contrastive Box Embedding for Collaborative Reasoning. - Tingting Liang; Yuanqing Zhang; Qianhui Di; Congying Xia; Youhuizi Li; Yuyu Yin (SIGIR, 2023)

PILL: Plug Into LLM with Adapter Expert and Attention Gate. - Fangyuan Zhang; Tingting Liang; Zhengyuan Wu; Yuyu Yin (CoRR, 2023)

Multi-Feature Fusion Book Recommendation Model Based on Deep Neural Network. - Zhaomin Liang; Tingting Liang (Comput. Syst. Sci. Eng., 2023)

Time-Aware Smart City Services Based on QoS Prediction: A Contrastive Learning Approach. - Yuyu Yin; Qianhui Di; Jian Wan 001; Tingting Liang (IEEE Internet Things J., 2023)

Transferring From Textual Entailment to Biomedical Named Entity Recognition. - Tingting Liang; Congying Xia; Ziqiang Zhao; Yixuan Jiang; Yuyu Yin; Philip S. Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation. - Yuyu Yin; Youhuizi Li; Honghao Gao; Tingting Liang; Qianqian Pan (IEEE Trans. Ind. Informatics, 2023)

Spectral Adversarial Training for Robust Graph Neural Network. - Jintang Li; Jiaying Peng; Liang Chen 001; Zibin Zheng; Tingting Liang; Qing Ling 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. - Tingting Liang; Congying Xia; Haoran Xu; Ziqiang Zhao; Yuyu Yin; Liang Chen 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Efficient one-off clustering for personalized federated learning. - Tingting Liang; Cheng Yuan; Cheng Lu; Youhuizi Li; Junfeng Yuan; Yuyu Yin (Knowl. Based Syst., 2023)

LLM-REDIAL: A Large-Scale Dataset for Conversational Recommender Systems Created from User Behaviors with LLMs. - Tingting Liang; Chenxin Jin; Lingzhi Wang 001; Wenqi Fan; Congying Xia; Kai Chen; Yuyu Yin (ACL (Findings), 2024)

PILL: Plug into LLM with adapter expert and attention gate. - Yuyu Yin; Fangyuan Zhang; Zhengyuan Wu; Qibo Qiu; Tingting Liang; Xin Zhang 079 (Appl. Soft Comput., 2024)

A gradual self distillation network with adaptive channel attention for facial expression recognition. - Xin Zhang 079; Jinlin Zhu; Dongjing Wang; Yueyun Wang; Tingting Liang; Hongbo Wang; Yuyu Yin (Appl. Soft Comput., 2024)

scCRT: a contrastive-based dimensionality reduction model for scRNA-seq trajectory inference. - Yuchen Shi; Jian Wan 001; Xin Zhang 079; Tingting Liang; Yuyu Yin (Briefings Bioinform., 2024)

NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification. - Hongfei Huang; Tingting Liang; Xixi Sun; Zikang Jin; Yuyu Yin (CoRR, 2024)

FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Zhiwei Lin; Tingting Liang; Taihong Xiao; Yongtao Wang; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2024)

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems. - Weiqi Yue; Yuyu Yin; Xin Zhang 079; Binbin Shi; Tingting Liang; Jian Wan 001 (AAAI, 2025)

ADGAT: Anomaly detection-based graph adversarial defense framework. - Youhuizi Li; Yi Wang; Yuyu Yin; Tingting Liang (Neurocomputing, 2025)

Grey-informed neural network for time-series forecasting. - Wanli Xie; Ruibin Zhao; Zhenguo Xu; Tingting Liang (Neurocomputing, 2025)

Multivariate Hawkes Spatio-Temporal Point Process with attention for point of interest recommendation. - Xin Zhang 079; He Weng; Yuxin Wei; Dongjing Wang; Jia Chen; Tingting Liang; Yuyu Yin (Neurocomputing, 2025)

Crowd-CapsNet: capsule network based adaptive crowdsourcing task recommendation. - Huanzhang Ni; Peng Sui; Youhuizi Li; Yu Li 015; Tingting Liang; Yuchen Yuan (Int. J. Web Inf. Syst., 2025)

Multi-source remote sensing big data mining reveals cross-regional correlation between aquaculture and Enteromorpha disaster outbreaks. - Jianchao Fan; Yujuan Ma; Tingting Liang; Guangyan Cui (Geo spatial Inf. Sci., 2025)