Gap metric on the subgraphs of systems and the robustness problem. - Sheng Wan; Biao Huang 001 (IEEE Trans. Autom. Control., 2000)

Robust performance assessment of feedback control systems. - Sheng Wan; Biao Huang 001 (Autom., 2002)

Design and Flight Testing Evaluation of Formation Control Laws. - Yu Gu 008; Brad Seanor; Giampiero Campa; Marcello R. Napolitano; Larry Rowe; Srikanth Gururajan; Sheng Wan (IEEE Trans. Control. Syst. Technol., 2006)

Parameter Incremental Learning Algorithm for Neural Networks. - Sheng Wan; L. E. Banta (IEEE Trans. Neural Networks, 2006)

Predictability analysis on expressway vehicle mobility using electronic toll collection data. - Sheng Wan; Ji Meng; Shi Fang; Xingxing Xing; Kunqing Xie; Kaigui Bian (ITSC, 2016)

Time obfuscation-based privacy-preserving scheme for Location-Based Services. - Fenghua Li; Sheng Wan; Ben Niu 001; Hui Li 006; Yuanyuan He 002 (WCNC Workshops, 2016)

Confnet: Predict with Confidence. - Sheng Wan; Tung-Yu Wu; Wing Hung Wong; Chen-Yi Lee (ICASSP, 2018)

基于多尺度空谱鉴别特征的高光谱图像分类 (Hyperspectral Image Classification Based on Multi-scale Discriminative Spatial-spectral Features). - Shougang Ren; Sheng Wan; Xingjian Gu; Haoyun Wang; Peisen Yuan; Huanliang Xu (计算机科学, 2018)

A Neural Network Based Method for Judging the Rationality of Litigation Request. - Huifang Cheng; Tong Cui; Feng Ding; Sheng Wan (ICIRA (2), 2019)

Passenger Flow Prediction in Traffic System Based on Deep Neural Networks and Transfer Learning Method. - Yi Ren; Xu Chen 022; Sheng Wan; Kunqing Xie; Kaigui Bian (ICITE, 2019)

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Bo Du 001; Lefei Zhang; Jian Yang 003 (CoRR, 2019)

QuatNet: Quaternion-Based Head Pose Estimation With Multiregression Loss. - Heng-Wei Hsu; Tung-Yu Wu; Sheng Wan; Wing Hung Wong; Chen-Yi Lee (IEEE Trans. Multim., 2019)

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks. - Jiehui Deng; Sheng Wan; Xiang Wang; Enmei Tu; Xiaolin Huang; Jie Yang 002; Chen Gong 002 (ICPR, 2020)

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification. - Sheng Wan; Chen Gong 002; Shirui Pan; Jie Yang 003; Jian Yang 003 (CoRR, 2020)

Feature Consistency Training With JPEG Compressed Images. - Sheng Wan; Tung-Yu Wu; Heng-Wei Hsu; Wing Hung Wong; Chen-Yi Lee (IEEE Trans. Circuits Syst. Video Technol., 2020)

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Bo Du 001; Lefei Zhang; Jian Yang 003 (IEEE Trans. Geosci. Remote. Sens., 2020)

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. - Sheng Wan; Shirui Pan; Jian Yang 003; Chen Gong 002 (AAAI, 2021)

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. - Sheng Wan; Yibing Zhan; Liu Liu 014; Baosheng Yu; Shirui Pan; Chen Gong 002 (NeurIPS, 2021)

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. - Sheng Wan; Chen Gong 002; Ping Zhong 001; Shirui Pan; Guangyu Li; Jian Yang 003 (IEEE Trans. Geosci. Remote. Sens., 2021)

Multi-level graph learning network for hyperspectral image classification. - Sheng Wan; Shirui Pan; Shengwei Zhong 001; Jie Yang 002; Jian Yang 003; Yibing Zhan; Chen Gong 002 (Pattern Recognit., 2022)

A Martian Analogues Library (MAL) Applicable for Tianwen-1 MarSCoDe-LIBS Data Interpretation. - Changqing Liu; Zhongchen Wu; Xiaohui Fu; Ping Liu; Yanqing Xin; Ayang Xiao; Hongchun Bai; Shangke Tian; Sheng Wan; Yiheng Liu; Enming Ju; Guobin Jin; et al. (Remote. Sens., 2022)

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. - Sheng Wan; Shirui Pan; Ping Zhong 001; Xiaojun Chang; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. - Shengwei Zhong 001; Tao Zhou 002; Sheng Wan; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier. - Tiansong Jiang; Sheng Wan; Chen Gong 002 (BMVC, 2023)

Leveraging Federated Learning for Unsecured Loan Risk Assessment on Decentralized Finance Lending Platforms. - Qian'ang Mao; Sheng Wan; Daning Hu; Jiaqi Yan; Jin Hu; Xuan Yang (ICDM (Workshops), 2023)

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. - Sheng Wan; Dashan Gao; Hanlin Gu; Daning Hu (IJCNN, 2023)

CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels. - Yue Yuan; Sheng Wan; Chuang Zhang; Chen Gong 002 (PRICAI (2), 2023)

Hyperspectral Image Classification With Contrastive Graph Convolutional Network. - Wentao Yu; Sheng Wan; Guangyu Li; Jian Yang 003; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Lixin Fan; Xin Yao; Qiang Yang 001 (AAAI, 2024)

Byzantine Robust Aggregation in Federated Distillation with Adversaries. - Wenrui Li; Hanlin Gu; Sheng Wan; Zhirong Luan; Wei Xi; Lixin Fan; Qiang Yang 001; Badong Chen (ICDCS, 2024)

Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. - Hang Zhou; Wentao Yu; Sheng Wan; Yongxin Tong; Tianlong Gu; Chen Gong 002 (ICDM, 2024)

Label Privacy Source Coding in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Hanlin Gu; Lixin Fan; Xin Yao; Qiang Yang 001 (ECML/PKDD (1), 2024)

Rank Aggregation in Crowdsourcing for Listwise Annotations. - Wenshui Luo; Haoyu Liu; Yongliang Ding; Tao Zhou 002; Sheng Wan; Runze Wu 001; Minmin Lin; Cong Zhang; Changjie Fan; Chen Gong 002 (CoRR, 2024)

Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification. - Cheng Zhang; Shengwei Zhong 001; Sheng Wan; Chen Gong 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Boosting Graph Contrastive Learning via Adaptive Sampling. - Sheng Wan; Yibing Zhan; Shuo Chen 003; Shirui Pan; Jian Yang 003; Dacheng Tao; Chen Gong 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection. - Zhipeng Zou; Sheng Wan; Guangyu Li; Bo Han 003; Tongliang Liu; Lin Zhao 003; Chen Gong 002 (AAAI, 2025)

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate. - Yiliu Sun; Zicheng Zhao; Sheng Wan; Chen Gong 002 (ACL (Findings), 2025)

Fast-Slow-Thinking: Complex Task Solving with Large Language Models. - Yiliu Sun; Yanfang Zhang; Zicheng Zhao; Sheng Wan; Dacheng Tao; Chen Gong 002 (CoRR, 2025)

FedTPS: traffic pattern sharing for personalized federated traffic flow prediction. - Hang Zhou; Wentao Yu; Sheng Wan; Yongxin Tong; Tianlong Gu; Chen Gong 002 (Knowl. Inf. Syst., 2025)