Robust Supervised Hashing. - Tongtong Yuan; Weihong Deng (CCPR (1), 2016)

Supervised hashing with extreme learning machine. - Tongtong Yuan; Weihong Deng; Jiani Hu (VCIP, 2017)

Distortion Minimization Hashing. - Tongtong Yuan; Weihong Deng; Jiani Hu (IEEE Access, 2017)

SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Kaiyue Pang; Yi-Zhe Song; Tao Xiang 002; Timothy M. Hospedales; Zhanyu Ma; Jun Guo 002 (CVPR, 2018)

Deep Transfer Network with 3D Morphable Models for Face Recognition. - Zhanfu An; Weihong Deng; Tongtong Yuan; Jiani Hu (FG, 2018)

OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network. - Yinan Tang; Hongxiang Guo; Tongtong Yuan; Qi Wu; Xiang Li 042; Cen Wang; Xiong Gao; Jian Wu 010 (IEEE Access, 2018)

Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. - Tongtong Yuan; Weihong Deng; Jian Tang 008; Yinan Tang; Binghui Chen (CVPR, 2019)

Flow Splitter: A Deep Reinforcement Learning-Based Flow Scheduler for Hybrid Optical-Electrical Data Center Network. - Yinan Tang; Hongxiang Guo; Tongtong Yuan; Xiong Gao; Xiaobin Hong 001; Yan Li 073; Jifang Qiu; Yong Zuo; Jian Wu 010 (IEEE Access, 2019)

Unsupervised adaptive hashing based on feature clustering. - Tongtong Yuan; Weihong Deng; Jiani Hu; Zhanfu An; Yinan Tang (Neurocomputing, 2019)

Temporal Segment Connection Network for Action Recognition. - Qian Li; Wenzhu Yang; Xiangyang Chen; Tongtong Yuan; Yuxia Wang (IEEE Access, 2020)

On Learning Semantic Representations for Million-Scale Free-Hand Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (CoRR, 2020)

Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey. - Yinan Tang; Tongtong Yuan; Bo Liu 011; Chuangbai Xiao (Comput. Networks, 2021)

Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks. - Bo Liu 011; Zhaoying Liu; Ting Zhang 012; Tongtong Yuan (Neural Networks, 2021)

On Learning Semantic Representations for Large-Scale Abstract Sketches. - Peng Xu 005; Yongye Huang; Tongtong Yuan; Tao Xiang 002; Timothy M. Hospedales; Yi-Zhe Song; Liang Wang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. - Zhiyuan Xu; Dejun Yang; Jian Tang 008; Yinan Tang; Tongtong Yuan; Yanzhi Wang; Guoliang Xue (IEEE/ACM Trans. Netw., 2021)

Compound Label Learning for Affective Image Content Analysis. - Qingzhu Zhang; Tongtong Yuan (CICAI (1), 2022)

Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis. - Tongtong Yuan; Lingmei Dong; Bo Liu 011; Jialiang Huang 001; Chuangbai Xiao (Healthcare AI and COVID-19 Workshop, 2022)

Bridging the Gap Between Semantic Segmentation and Instance Segmentation. - Chengxiang Yin 001; Jian Tang 008; Tongtong Yuan; Zhiyuan Xu; Yanzhi Wang (IEEE Trans. Multim., 2022)

Decentralized Communication-assisted Sensing based on Federated Learning Framework for IIoT. - Jian Jin; Zhenzhen Jiao; Junsheng Mu; Wenzhe Lv; Yinan Tang; Tongtong Yuan (ISACom@MobiCom, 2023)

UCF-Crime Annotation: A Benchmark for Surveillance Video-and-Language Understanding. - Tongtong Yuan; Xuange Zhang; Kun Liu; Bo Liu; Jian Jin; Zhenzhen Jiao (CoRR, 2023)

AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions. - Yinan Tang; Tongtong Yuan; Zhiyuan Xu; Weiyi Zhang 001; Jian Tang 008; Guoliang Xue; Yanzhi Wang (IEEE Netw., 2023)

Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges. - Tongtong Yuan; Xuange Zhang; Kun Liu; Bo Liu; Chen Chen; Jian Jin; Zhenzhen Jiao (CVPR, 2024)

Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster. - Yinan Tang; Tongtong Yuan; Fang Cao; Li Wang 040; Zhenhua Guo 003; Yaqian Zhao; Rengang Li (INFOCOM (Workshops), 2024)

ARPruning: An automatic channel pruning based on attention map ranking. - Tongtong Yuan; Zulin Li; Bo Liu 011; Yinan Tang; Yujia Liu (Neural Networks, 2024)

Explainable Federated Medical Image Analysis Through Causal Learning and Blockchain. - Junsheng Mu; Michel Kadoch; Tongtong Yuan; Wenzhe Lv; Qiang Liu 030; Bohan Li 005 (IEEE J. Biomed. Health Informatics, 2024)

Leveraging Blockchain Based Federated Learning for Trustworthy 6G IoMT Image Analysis. - Junsheng Mu; Qiang Liu 030; Ziwei Wang; Tongtong Yuan; Hongyu Sun; Peng Yu 001 (IEEE Wirel. Commun., 2024)

A Survey on Performance Modeling and Prediction for Distributed DNN Training. - Zhenhua Guo 003; Yinan Tang; Jidong Zhai; Tongtong Yuan; Jian Jin; Li Wang 040; Yaqian Zhao; Rengang Li (IEEE Trans. Parallel Distributed Syst., 2024)

MS-UFAD: A Large-Scale Dataset for Real-world Unified Face Attack Detection with Text Descriptions. - Ning Jiang; Dingheng Zeng; Liang Gao; Sheng Chen; Zhifei Kong; Yanhong Liu; Jiao Li; Yue Feng; Tongtong Yuan; Weihong Deng; Quan Lu; Ying Li (ICASSP, 2025)

Rethinking cell-based neural architecture search: A theoretical perspective. - Bo Liu 011; Huiwen Zhao; Tongtong Yuan; Ting Zhang 012; Zhaoying Liu (Neural Networks, 2025)

HiMix: Reducing Computational Complexity in Large Vision-Language Models. - Xuange Zhang; Dengjie Li; Bo Liu; Zenghao Bao; Yao Zhou; Baisong Yang; Zhongying Liu; Yujie Zhong; Zheng Zhao; Tongtong Yuan (CoRR, 2025)

Surveillance Video-and-Language Understanding: From Small to Large Multimodal Models. - Tongtong Yuan; Xuange Zhang; Bo Liu 011; Kun Liu; Jian Jin; Zhenzhen Jiao (IEEE Trans. Circuits Syst. Video Technol., 2025)

SurveillanceVQA-589K: A Benchmark for Comprehensive Surveillance Video-Language Understanding with Large Models. - Bo Liu; Pengfei Qiao 003; Minhan Ma; Xuange Zhang; Yinan Tang; Peng Xu; Kun Liu; Tongtong Yuan (CoRR, 2025)