A Distributed Hierarchical Routing Protocol for Non-GEO Satellite Networks. - Jianjun Bai; Xicheng Lu; Zexin Lu; Wei Peng 005 (ICPP Workshops, 2004)

Packet Classification Algorithm Using Multiple Subspace Intersecting. - Mingfeng Tan; Zexin Lu; Lei Gao (ICCNMC, 2005)

Traffic Management Optimization on Power-Controllable Sensor Networks. - Yantao Pan; Qiang Jian; Zexin Lu; Wei Peng 005 (GCC Workshops, 2006)

Two New Hybrid-type Data Dissemination Algorithms for Large-Scale Wireless Sensor Networks. - Zijin Tao; Zhenghu Gong; Zexin Lu (IMSCCS, 2007)

An Entropy Based Algorithm to Find Critical Traffic Matrices. - Hong Wang; Zhenghu Gong; Zexin Lu; Jinshu Su; Sudan Li (ICN, 2008)

Underwater Localization in Sparse 3D Acoustic Sensor Networks. - Wei Cheng 001; Amin Y. Teymorian; Liran Ma; Xiuzhen Cheng 001; Xicheng Lu; Zexin Lu (INFOCOM, 2008)

Route recovery in vertex-disjoint multipath routing for many-to-one sensor networks. - Wei Cheng 001; Kai Xing; Xiuzhen Cheng 001; Xicheng Lu; Zexin Lu; Jinshu Su; Baosheng Wang; Yujun Liu 002 (MobiHoc, 2008)

A Data Dissemination Algorithm Based on Geographical Quorum System in Wireless Sensor Networks. - Zijin Tao; Sudan Li; Zexin Lu; Xiaozhe Zhang (CNSR, 2009)

Time-Synchronization Free Localization in Large Scale Underwater Acoustic Sensor Networks. - Wei Cheng 001; Andrew Thaeler; Xiuzhen Cheng 001; Fang Liu 025; Xicheng Lu; Zexin Lu (ICDCS Workshops, 2009)

The Complexity of Channel Scheduling in Multi-Radio Multi-Channel Wireless Networks. - Wei Cheng 001; Xiuzhen Cheng 001; Taieb Znati; Xicheng Lu; Zexin Lu (INFOCOM, 2009)

3D Underwater Sensor Network Localization. - Amin Y. Teymorian; Wei Cheng 001; Liran Ma; Xiuzhen Cheng 001; Xicheng Lu; Zexin Lu (IEEE Trans. Mob. Comput., 2009)

Time-Bounded Essential Localization for Wireless Sensor Networks. - Wei Cheng 001; Nan Zhang 004; Min Song 002; Dechang Chen; Xicheng Lu; Zexin Lu (NAS, 2010)

SDBGP: A scalable, distributed BGP routing protocol implementation. - Xiaozhe Zhang; Xicheng Lu; Jinshu Su; Baosheng Wang; Zexin Lu (HPSR, 2011)

A 3N Approach to Network Control and Management. - Feng Zhao 012; Dan Zhao 002; Xiaofeng Hu; Wei Peng 005; Baosheng Wang; Zexin Lu (IPDPS Workshops, 2012)

A general model for the virtual router. - Xianming Gao; Xiaozhe Zhang; Zexin Lu; Shicong Ma (ICCT, 2013)

Research on an Adaptive Routing Mechanism of Combination of Packet Forward with Virtual Circuit. - Xianming Gao; Xiaozhe Zhang; Zexin Lu; Shicong Ma (IDCS, 2013)

Design of (4, 8) Binary Code with MDS and Zigzag-Decodable Property. - Mingjun Dai; Zexin Lu; Dan Shen; Hui Wang 022; Bin Chen 016; Xiaohui Lin 001; Shengli Zhang 001; Li Zhang 066; Hongwei Liu 001 (Wirel. Pers. Commun., 2016)

A New Malware Classification Approach Based on Malware Dynamic Analysis. - Ying Fang; Bo Yu 008; Yong Tang 005; Liu Liu 004; Zexin Lu; Yi Wang 036; Qiang Yang (ACISP (2), 2017)

Evolutionary study on mobile cloud computing. - Mingjun Dai; Dujuan Liu; Yongjun Fan; Hui Wang 022; Xiaohui Lin 001; Bin Chen 016; Zexin Lu (Neural Comput. Appl., 2017)

A New Zigzag-Decodable Code with Efficient Repair in Wireless Distributed Storage. - Mingjun Dai; Chi Wan Sung; Hui Wang 022; Xueqing Gong; Zexin Lu (IEEE Trans. Mob. Comput., 2017)

Shipnet for Semantic Segmentation on VHR Maritime Imagery. - Shihao Sun; Zexin Lu; Wenjie Liu; Wei Hu 004; Ruirui Li 001 (IGARSS, 2018)

SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification. - Yutong Bai; Qifan Zhang; Zexin Lu; Yi Zhang 018 (IEEE Access, 2019)

Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. - Yongqiang Huang 003; Wenjun Xia; Zexin Lu; Yan Liu 052; Jiliu Zhou; Leyuan Fang; Yi Zhang 018 (MICCAI (5), 2020)

Power Allocation for Multiple Transmitter-Receiver Pairs Under Frequency-Selective Fading Based on Convolutional Neural Network. - Mingjun Dai; Qingwen Huang; Zexin Lu; Bin Chen 016; Hui Wang 022; Xue Qin (IEEE Access, 2020)

CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels. - Wenjun Xia; Zexin Lu; Yongqiang Huang 003; Yan Liu 052; Hu Chen 002; Jiliu Zhou; Yi Zhang 018 (CoRR, 2020)

Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening. - Zhimin Shao; Zexin Lu; Maosong Ran; Leyuan Fang; Jiliu Zhou; Yi Zhang 018 (IEEE Geosci. Remote. Sens. Lett., 2020)

Engage the Public: Poll Question Generation for Social Media Posts. - Zexin Lu; Keyang Ding; Yuji Zhang 002; Jing Li 049; Baolin Peng; Lemao Liu (ACL/IJCNLP (1), 2021)

Ct Reconstruction With Pdf: Parameter-Dependent Framework For Multiple Scanning Geometries And Dose Levels. - Wenjun Xia; Zexin Lu; Yongqiang Huang 003; Yan Liu 052; Jiliu Zhou; Yi Zhang 018 (ISBI, 2021)

One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline. - Zhiwen Wang 002; Wenjun Xia; Zexin Lu; Yongqiang Huang 003; Yan Liu 052; Hu Chen 002; Jiliu Zhou; Yi Zhang 018 (MLMIR@MICCAI, 2021)

Getting Your Conversation on Track: Estimation of Residual Life for Conversations. - Zexin Lu; Jing Li 049; Yingyi Zhang; Haisong Zhang (SLT, 2021)

MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising. - Zexin Lu; Wenjun Xia; Yongqiang Huang 003; Hongming Shan; Hu Chen 002; Jiliu Zhou; Yi Zhang 018 (CoRR, 2021)

IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction. - Tao Wang 167; Wenjun Xia; Zexin Lu; Huaiqiang Sun; Yan Liu 052; Hu Chen 002; Jiliu Zhou; Yi Zhang 018 (CoRR, 2021)

Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. - Yongqiang Huang 003; Wenjun Xia; Zexin Lu; Yan Liu 052; Hu Chen 002; Jiliu Zhou; Leyuan Fang; Yi Zhang 018 (IEEE Trans. Medical Imaging, 2021)

CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels. - Wenjun Xia; Zexin Lu; Yongqiang Huang 003; Yan Liu 052; Hu Chen 002; Jiliu Zhou; Yi Zhang 018 (IEEE Trans. Medical Imaging, 2021)

MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction. - Wenjun Xia; Zexin Lu; Yongqiang Huang 003; Zuoqiang Shi; Yan Liu 052; Hu Chen 002; Yang Chen 008; Jiliu Zhou; Yi Zhang 018 (IEEE Trans. Medical Imaging, 2021)

Low-Dose CT Denoising via Neural Architecture Search. - Zexin Lu; Wenjun Xia; Yongqiang Huang 003; Mingzheng Hou; Hu Chen 002; Hongming Shan; Yi Zhang 018 (ISBI, 2022)

A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction. - Wenjun Xia; Ziyuan Yang 001; Qizheng Zhou; Zexin Lu; Zhongxian Wang; Yi Zhang 018 (MICCAI (6), 2022)

Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging. - Ziyuan Yang 001; Wenjun Xia; Zexin Lu; Yingyu Chen; Xiaoxiao Li; Yi Zhang 018 (CoRR, 2022)

Towards LLM-driven Dialogue State Tracking. - Yujie Feng; Zexin Lu; Bo Liu 049; Liming Zhan; Xiao-Ming Wu 003 (EMNLP, 2023)

Stay In The Middle: A Semi-Supervised Model for CT Metal Artifact Reduction. - Tao Wang 167; Hui Yu; Zexin Lu; Zhongzhou Zhang; Jiliu Zhou; Yi Zhang 018 (ICASSP, 2023)

Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive Learning. - Jie Jing 001; Tao Wang 167; Hui Yu; Zexin Lu; Yi Zhang 018 (MICCAI (1), 2023)

A Multi-Modal Entity Alignment Method with Inter-Modal Enhancement. - Song Yuan; Zexin Lu; Qiyuan Li; Jinguang Gu (Big Data Cogn. Comput., 2023)

How Good Are Large Language Models at Out-of-Distribution Detection? - Bo Liu 049; Liming Zhan; Zexin Lu; Yujie Feng; Lei Xue 001; Xiao-Ming Wu 003 (CoRR, 2023)

CO3Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition. - Ziyuan Yang 001; Wenjun Xia; Yifan Qiao; Zexin Lu; Bob Zhang 001; Lu Leng; Yi Zhang 018 (IEEE Trans. Instrum. Meas., 2023)

M3NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising. - Zexin Lu; Wenjun Xia; Yongqiang Huang 003; Mingzheng Hou; Hu Chen 002; Jiliu Zhou; Hongming Shan; Yi Zhang 018 (IEEE Trans. Medical Imaging, 2023)

Evaluating visual encoding quality of a mixed reality user interface for human-machine co-assembly in complex operational terrain. - Zhuo Wang 002; Xiangyu Zhang 009; Liang Li; Yiliang Zhou; Zexin Lu; Yuwei Dai; Chaoqian Liu; Zekun Su; Xiaoliang Bai; Mark Billinghurst (Adv. Eng. Informatics, 2023)

Continual Dialogue State Tracking via Reason-of-Select Distillation. - Yujie Feng; Bo Liu 049; Xiaoyu Dong; Zexin Lu; Li-Ming Zhan; Xiao-Ming Wu 003; Albert Y. S. Lam (ACL (Findings), 2024)

How Good Are LLMs at Out-of-Distribution Detection? - Bo Liu 049; Li-Ming Zhan; Zexin Lu; Yujie Feng; Lei Xue 001; Xiao-Ming Wu 003 (LREC/COLING, 2024)

Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding. - Xiaoyu Dong; Yujie Feng; Zexin Lu; Guangyuan Shi; Xiao-Ming Wu 003 (EMNLP, 2024)

Towards Medical Vision-Language Contrastive Pre-training via Study-Oriented Semantic Exploration. - Bo Liu; Zexin Lu; Yan Wang (ACM Multimedia, 2024)

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning. - Yujie Feng; Xu Chu; Yongxin Xu; Zexin Lu; Bo Liu 049; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2024)

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models. - Lionel Z. Wang; Yiming Ma; Renfei Gao; Beichen Guo; Zhuoran Li; Han Zhu; Wenqi Fan; Zexin Lu; Ka Chung Ng (CoRR, 2024)

Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection. - Bo Liu 049; Liming Zhan; Yujie Feng; Zexin Lu; Chengqiang Xie; Lei Xue 001; Albert Y. S. Lam; Xiao-Ming Wu 003 (CoRR, 2024)

Trustworthy Hate Speech Detection Through Visual Augmentation. - Ziyuan Yang 001; Ming Yan; Yingyu Chen; Hui Wang 135; Zexin Lu; Yi Zhang 018 (CoRR, 2024)

Understanding Layer Significance in LLM Alignment. - Guangyuan Shi; Zexin Lu; Xiaoyu Dong; Wenlong Zhang; Xuanyu Zhang; Yujie Feng; Xiao-Ming Wu 003 (CoRR, 2024)

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis. - Bo Liu 049; Ke Zou; Liming Zhan; Zexin Lu; Xiaoyu Dong; Yidi Chen; Chengqiang Xie; Jiannong Cao 001; Xiao-Ming Wu 003; Huazhu Fu (CoRR, 2024)

Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. - Yujie Feng; Xujia Wang; Zexin Lu; Shenghong Fu; Guangyuan Shi; Yongxin Xu; Yasha Wang; Philip S. Yu; Xu Chu; Xiao-Ming Wu 003 (ACL (1), 2025)

FedRIR: Rethinking Information Representation in Federated Learning. - Yongqiang Huang 003; Zerui Shao; Ziyuan Yang 001; Zexin Lu; Yi Zhang 018 (WWW, 2025)

Abnormal Evolution Pattern Recognition of Spatial Communities Based on Random Walk With Restart. - Ke Tao; Zexin Lu; Zhaoyi Hou; Fei Luo; Meihua Chen; Min Deng (IEEE Access, 2025)

Noise-tolerant universal representation learning for multivariate time series from global-to-local perspective. - Lei Chen 045; Yepeng Xu; Chaoqun Fan; Yuan Li 043; Ming Li; Zexin Lu; Xinquan Xie (Knowl. Based Syst., 2025)

FedRIR: Rethinking Information Representation in Federated Learning. - Yongqiang Huang 003; Zerui Shao; Ziyuan Yang; Zexin Lu; Yi Zhang 018 (CoRR, 2025)

GeoEdit: Geometric Knowledge Editing for Large Language Models. - Yujie Feng; Liming Zhan; Zexin Lu; Yongxin Xu; Xu Chu; Yasha Wang; Jiannong Cao 001; Philip S. Yu; Xiao-Ming Wu 003 (CoRR, 2025)

Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging. - Ziyuan Yang 001; Wenjun Xia; Zexin Lu; Yingyu Chen; Xiaoxiao Li; Yi Zhang 018 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data. - Qiliang Liu; Zexin Lu; Weihua Huan; Chong Fan (Geo spatial Inf. Sci., 2025)

DEAL: Disentangling Transformer Head Activations for LLM Steering. - Li-Ming Zhan; Bo Liu 049; Zexin Lu; Chengqiang Xie; Jiannong Cao 001; Xiao-Ming Wu 003 (CoRR, 2025)