A Scalable Peer-to-Peer Network with Constant Degree. - Dongsheng Li 001; Xinxin Fang; Yijie Wang 001; Xicheng Lu; Kai Lu 001; Nong Xiao 001 (APPT, 2003)

Dynamic Self-Adaptive Replica Location Method in Data Grids. - Dongsheng Li 001; Nong Xiao 001; Xicheng Lu; Yijie Wang 001; Kai Lu 001 (CLUSTER, 2003)

Efficient Search in Gnutella-Like "Small-World" Peer-to-Peer Systems. - Dongsheng Li 001; Xicheng Lu; Yijie Wang 001; Nong Xiao 001 (GCC (1), 2003)

GridDaen: A Data Grid Engine. - Nong Xiao 001; Dongsheng Li 001; Wei Fu 001; Bin Huang; Xicheng Lu (GCC (1), 2003)

Topology and Resource Discovery in Peer-to-Peer Overlay Networks. - Dongsheng Li 001; Nong Xiao 001; Xicheng Lu (GCC Workshops, 2004)

Graph-Theoretic Analysis of Kautz Topology and DHT Schemes. - Dongsheng Li 001; Xicheng Lu; Jinshu Su (NPC, 2004)

Topology Construction and Resource Discovery in Peer-to-Peer Networks. - Dongsheng Li 001; Xicheng Lu; Chuanfu Xu (Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks, 2005)

FISSIONE: a scalable constant degree and low congestion DHT scheme based on Kautz graphs. - Dongsheng Li 001; Xicheng Lu; Jie Wu 001 (INFOCOM, 2005)

A novel constant degree and constant congestion DHT scheme for peer-to-peer networks. - Dongsheng Li 001; Xicheng Lu (Sci. China Ser. F Inf. Sci., 2005)

DRWT: An Efficient Random Walk Algorithm for Unstructured P2P Networks. - Yiming Zhang 003; Xicheng Lu; Dongsheng Li 001; Nong Xiao 001 (ICDCN, 2006)

Delay-Bounded Range Queries in DHT-based Peer-to-Peer Systems. - Dongsheng Li 001; Xicheng Lu; Baosheng Wang; Jinshu Su; Jiannong Cao 001; Keith C. C. Chan; Hong Va Leong (ICDCS, 2006)

Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks. - Yiming Zhang 003; Dongsheng Li 001; Lei Chen 002; Xicheng Lu (ICPP, 2007)

NCRS: A Network RAM-Based Computational Resource Sharing Grid. - Yiming Zhang 003; Dongsheng Li 001; Rui Chu; Xicheng Lu (NET-COOP, 2007)

PIBUS: A Network Memory-Based Peer-to-Peer IO Buffering Service. - Yiming Zhang 003; Dongsheng Li 001; Rui Chu; Nong Xiao 001; Xicheng Lu (Networking, 2007)

Distributed Line Graphs: A Universal Framework for Building DHTs Based on Arbitrary Constant-Degree Graphs. - Yiming Zhang 003; Ling Liu 001; Dongsheng Li 001; Xicheng Lu (ICDCS, 2008)

Flexible Routing in Grouped DHTs. - Yiming Zhang 003; Dongsheng Li 001; Lei Chen 002; Xicheng Lu (Peer-to-Peer Computing, 2008)

DHT-Based Range Query Processing for Web Service Discovery. - Yiming Zhang 003; Ling Liu 001; Dongsheng Li 001; Feng Liu; Xicheng Lu (ICWS, 2009)

SKY: efficient peer-to-peer networks based on distributed Kautz graphs. - Yiming Zhang 003; Xicheng Lu; Dongsheng Li 001 (Sci. China Ser. F Inf. Sci., 2009)

A peer-to-peer IO buffering service based on RAM-grid. - Yiming Zhang 003; Rui Chu; Dongsheng Li 001 (Int. J. Auton. Adapt. Commun. Syst., 2009)

Efficient Range Query Processing in Peer-to-Peer Systems. - Dongsheng Li 001; Jiannong Cao 001; Xicheng Lu; Kaixian Chen (IEEE Trans. Knowl. Data Eng., 2009)

Automatic Concurrency Management for distributed applications. - Huiba Li; Shengyun Liu; Yuxing Peng 001; Dongsheng Li 001 (ISCC, 2010)

Superscalar communication: A runtime optimization for distributed applications. - Huiba Li; Shengyun Liu; Yuxing Peng 001; Dongsheng Li 001; Hangjun Zhou; Xicheng Lu (Sci. China Inf. Sci., 2010)

Embedded DHT overlays in virtual computing environments. - Yiming Zhang 003; Xicheng Lu; Dongsheng Li 001 (Sci. China Inf. Sci., 2010)

Enabling routing control in a DHT. - Yiming Zhang 003; Lei Chen 002; Xicheng Lu; Dongsheng Li 001 (IEEE J. Sel. Areas Commun., 2010)

Survey of DHT topology construction techniques in virtual computing environments. - Yiming Zhang 003; Xicheng Lu; Dongsheng Li 001 (Sci. China Inf. Sci., 2011)

Efficient range query processing over DHTs based on the balanced Kautz tree. - Yiming Zhang 003; Ling Liu 001; Xicheng Lu; Dongsheng Li 001 (Concurr. Comput. Pract. Exp., 2011)

SCautz: a high performance and fault-tolerant datacenter network for modular datacenters. - Feng Huang; Xicheng Lu; Dongsheng Li 001; Yiming Zhang 003 (Sci. China Inf. Sci., 2012)

Efficient Bulk Loading to Accelerate Spatial Keyword Queries. - Dongsheng Li 001; Jinkun Pan; Jiaxin Li; Kian-Lee Tan; Dongxiang Zhang (ICPADS, 2013)

OPTAS: Optimal Data Placement in MapReduce. - Changjian Wang; Yongrui Qin; Zhen Huang 006; Yuxing Peng 001; Dongsheng Li 001; Huiba Li (ICPADS, 2013)

Internet-based Virtual Computing Environment: Beyond the data center as a computer. - Xicheng Lu; Huaimin Wang; Ji Wang 001; Jie Xu 007; Dongsheng Li 001 (Future Gener. Comput. Syst., 2013)

Partial Probing for Scaling Overlay Routing. - Deke Guo; Hai Jin 001; Tao Chen 013; Jie Wu 001; Li Lu 001; Dongsheng Li 001; Xiaolei Zhou 001 (IEEE Trans. Parallel Distributed Syst., 2013)

MapCheckReduce: An Improved MapReduce Computing Model for Imprecise Applications. - Changjian Wang; Yuxing Peng 001; Mingxing Tang; Dongsheng Li 001; Shanshan Li 001; Pengfei You (BigData Congress, 2014)

Bulk Construction of Geo-Textual Indices. - Dongsheng Li 001; Jinkun Pan; Jiaxin Li; Kian-Lee Tan (Int. J. Data Warehous. Min., 2014)

VMThunder: Fast Provisioning of Large-Scale Virtual Machine Clusters. - Zhaoning Zhang 001; Ziyang Li; Kui Wu 001; Dongsheng Li 001; Huiba Li; Yuxing Peng 001; Xicheng Lu (IEEE Trans. Parallel Distributed Syst., 2014)

Efficient Distributed Data Clustering on Spark. - Jia Li; Dongsheng Li 001; Yiming Zhang 003 (CLUSTER, 2015)

Pallas: An Application-Driven Task and Network Simulation Framework. - Yuming Ye; Ziyang Li; Dongsheng Li 001; Yiming Zhang 003; Feng Liu; Yuxing Peng 001 (CLUSTER, 2015)

DFIS: A Scalable Distributed Fingerprint Identification System. - Yunxiang Zhao; Wanxin Zhang; Dongsheng Li 001; Zhen Huang 006 (ICA3PP (3), 2015)

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. - Hao Wang 022; Li Chen 008; Kai Chen 005; Ziyang Li; Yiming Zhang 003; Haibing Guan; Zhengwei Qi; Dongsheng Li 001; Yanhui Geng (ICDCS, 2015)

Partial Clones for Stragglers in MapReduce. - Jia Li; Changjian Wang; Dongsheng Li 001; Zhen Huang 006 (ICYCSEE, 2015)

CubicRing: Enabling One-Hop Failure Detection and Recovery for Distributed In-Memory Storage Systems. - Yiming Zhang 003; Chuanxiong Guo; Dongsheng Li 001; Rui Chu; Haitao Wu; Yongqiang Xiong (NSDI, 2015)

Design, Implementation and Evaluation of an Application-Layer Virtualized Network. - Yiming Zhang 003; Dongsheng Li 001; Yijie Wang 001; Zhigang Sun; Feng Zhao 012; Jinshu Su (SOSE, 2015)

Joint VM placement and topology optimization for traffic scalability in dynamic datacenter networks. - Yangming Zhao; Yifan Huang 001; Kai Chen 005; Minlan Yu; Sheng Wang 006; Dongsheng Li 001 (Comput. Networks, 2015)

Efficient Semantic-Aware Coflow Scheduling for Data-Parallel Jobs. - Ziyang Li; Yiming Zhang 003; Yunxiang Zhao; Dongsheng Li 001 (CLUSTER, 2016)

SMARTPARTITION: Efficient Partitioning for Natural Graphs. - Chengfei Zhang; Yiming Zhang 003; Dongsheng Li 001; Jia Li; Min-ne Li (CLUSTER, 2016)

On the Expandability and Fidelity of Distributed Line Graphs. - Tian Tian; Yiming Zhang 003; Dongsheng Li 001; Jiaxin Li; Ping Zhong 002; Ling Liu 001 (ICWS, 2016)

A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. - Yaozheng Wang; Dawei Feng; Dongsheng Li 001; Xinyuan Chen; Yunxiang Zhao; Xin Niu 002 (IJCNN, 2016)

OPTAS: Decentralized flow monitoring and scheduling for tiny tasks. - Ziyang Li; Yiming Zhang 003; Dongsheng Li 001; Kai Chen 005; Yuxing Peng 001 (INFOCOM, 2016)

Shuffle-efficient distributed Locality Sensitive Hashing on spark. - Wanxin Zhang; Dongsheng Li 001; Ying Xu; Yiming Zhang 003 (INFOCOM Workshops, 2016)

DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets. - Min-ne Li; Dongsheng Li 001; Siqi Shen; Zhaoning Zhang 001; Xicheng Lu (NPC, 2016)

Best Effort Task Scheduling for Data Parallel Jobs. - Ziyang Li; Yiming Zhang 003; Yunxiang Zhao; Yuxing Peng 001; Dongsheng Li 001 (SIGCOMM, 2016)

Weakly supervised object detection using pseudo-strong labels. - Ke Yang 004; Dongsheng Li 001; Yong Dou; Shaohe Lv; Qiang Wang 006 (CoRR, 2016)

Large-scale virtual machines provisioning in clouds: challenges and approaches. - Zhaoning Zhang 001; Dongsheng Li 001; Kui Wu 001 (Frontiers Comput. Sci., 2016)

An Efficient MapReduce Computing Model for Imprecise Applications. - Changjian Wang; Yuxing Peng 001; Mingxing Tang; Dongsheng Li 001; Shanshan Li 001; Pengfei You (Int. J. Web Serv. Res., 2016)

VirtMan: design and implementation of a fast booting system for homogeneous virtual machines in iVCE. - Ziyang Li; Yiming Zhang 003; Dongsheng Li 001; Pengfei Zhang 006; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2016)

Pegasus: a distributed and load-balancing fingerprint identification system. - Yunxiang Zhao; Wanxin Zhang; Dongsheng Li 001; Zhen Huang 006; Min-ne Li; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2016)

S-OHEM: Stratified Online Hard Example Mining for Object Detection. - Min-ne Li; Zhaoning Zhang 001; Hao Yu 010; Xinyuan Chen; Dongsheng Li 001 (CCCV (3), 2017)

GraphA: Adaptive Partitioning for Natural Graphs. - Dongsheng Li 001; Chengfei Zhang; Jinyan Wang; Zhaoning Zhang 001; Yiming Zhang 003 (ICDCS, 2017)

Fast Compressive Spectral Clustering. - Ting Li; Yiming Zhang 003; Dongsheng Li 001; Xinwang Liu 002; Yuxing Peng 001 (ICDM, 2017)

SES-LSH: Shuffle-Efficient Locality Sensitive Hashing for Distributed Similarity Search. - Dongsheng Li 001; Wanxin Zhang; Siqi Shen; Yiming Zhang 003 (ICWS, 2017)

Rate-aware flow scheduling for commodity data center networks. - Ziyang Li; Wei Bai 001; Kai Chen 005; Dongsu Han; Yiming Zhang 003; Dongsheng Li 001; Hongfang Yu (INFOCOM, 2017)

CubeX: Leveraging glocality of cube-based networks for RAM-based key-value store. - Yiming Zhang 003; Dongsheng Li 001; Tian Tian; Ping Zhong 002 (INFOCOM, 2017)

PARIX: Speculative Partial Writes in Erasure-Coded Systems. - Huiba Li; Yiming Zhang 003; Zhiming Zhang; Shengyun Liu; Dongsheng Li 001; Xiaohui Liu; Yuxing Peng 001 (USENIX ATC, 2017)

An Analysis on a YouTube-like UGC site with Enhanced Social Features. - Adele Lu Jia; Siqi Shen; Shengling Chen; Dongsheng Li 001; Alexandru Iosup (WWW (Companion Volume), 2017)

TPC: Temporal Preservation Convolutional Networks for Precise Temporal Action Localization. - Ke Yang 004; Peng Qiao; Dongsheng Li 001; Shaohe Lv; Yong Dou (CoRR, 2017)

Efficient parallel implementation of a density peaks clustering algorithm on graphics processing unit. - Ke-shi Ge; Huayou Su; Dong-sheng Li 001; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2017)

CubicRing: Exploiting Network Proximity for Distributed In-Memory Key-Value Store. - Yiming Zhang 003; Dongsheng Li 001; Chuanxiong Guo; Haitao Wu; Yongqiang Xiong; Xicheng Lu (IEEE/ACM Trans. Netw., 2017)

Exploring Temporal Preservation Networks for Precise Temporal Action Localization. - Ke Yang 004; Peng Qiao; Dongsheng Li 001; Shaohe Lv; Yong Dou (AAAI, 2018)

An Experimental Perspective for Computation-Efficient Neural Networks Training. - Lujia Yin; Xiaotao Chen; Zheng Qin 002; Zhaoning Zhang 001; Jinghua Feng; Dongsheng Li 001 (ACA, 2018)

A Network-embedding Based Method for Author Disambiguation. - Jun Xu; Siqi Shen; Dongsheng Li 001; Yongquan Fu (CIKM, 2018)

Attention-Guided Answer Distillation for Machine Reading Comprehension. - Minghao Hu; Yuxing Peng 001; Furu Wei; Zhen Huang 006; Dongsheng Li 001; Nan Yang 002; Ming Zhou 001 (EMNLP, 2018)

Pcatch: automatically detecting performance cascading bugs in cloud systems. - Jiaxin Li; Yuxi Chen; Haopeng Liu; Shan Lu 001; Yiming Zhang 003; Haryadi S. Gunawi; Xiaohui Gu; Xicheng Lu; Dongsheng Li 001 (EuroSys, 2018)

An Empirical Study of Face Recognition under Variations. - Baoyun Peng; Heng Yang; Dongsheng Li 001; Zhaoning Zhang 001 (FG, 2018)

PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark. - Menghan Jia; Yiming Zhang 003; Dongsheng Li 001; Songzhu Mei (ICA3PP (1), 2018)

The Fusion of VMs and Processes: A System Perspective of cKernel. - Yiming Zhang 003; Dongsheng Li 001; Qiao Zhou; Feng Huang; Yingwen Chen 001; Yang Hu; Ping Zhong 002; Yongqiang Xiong; Huaimin Wang (ICDCS, 2018)

Continuous Proximity Detection via Predictive Safe Region Construction. - Ying Xu; Dongxiang Zhang; Meihui Zhang 001; Dongsheng Li 001; Xiaoling Wang; Heng Tao Shen (ICDE, 2018)

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. - Lei Guan; Linbo Qiao; Dongsheng Li 001; Tao Sun 005; Keshi Ge; Xicheng Lu (ICDM Workshops, 2018)

Temporal Pyramid Relation Network for Video-Based Gesture Recognition. - Ke Yang 004; Rongchun Li; Peng Qiao; Qiang Wang 006; Dongsheng Li 001; Yong Dou (ICIP, 2018)

A Quick Survey on Large Scale Distributed Deep Learning Systems. - Zhaoning Zhang 001; Lujia Yin; Yuxing Peng 001; Dongsheng Li 001 (ICPADS, 2018)

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. - Menglong Lu; Dawei Feng; Linbo Qiao; Dawen Ding; Dongsheng Li 001 (IJCNN, 2018)

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions. - Zheng Qin 002; Zhaoning Zhang 001; Dongsheng Li 001; Yiming Zhang 003; Yuxing Peng 001 (IJCNN, 2018)

Deep Discriminative Clustering Network. - Xuying Shaol; Ke-shi Ge; Huayou Su; Lei Luo 002; Baoyun Peng; Dongsheng Li 001 (IJCNN, 2018)

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. - Hao Yu 010; Zhaoning Zhang 001; Zheng Qin 002; Hao Wu; Dongsheng Li 001; Jun Zhao; Xicheng Lu (IJCNN, 2018)

MFM: A Multi-level Fused Sequence Matching Model for Candidates Filtering in Multi-paragraphs Question-Answering. - Yang Liu 259; Zhen Huang 006; Minghao Hu; Shuyang Du; Yuxing Peng 001; Dongsheng Li 001; Xu Wang (PCM (3), 2018)

Frame Segmentation Networks for Temporal Action Localization. - Ke Yang 004; Peng Qiao; Qiang Wang 006; Shijie Li 002; Xin Niu 002; Dongsheng Li 001; Yong Dou (PCM (2), 2018)

Multitask Learning for Chinese Named Entity Recognition. - Qun Zhang; Zhenzhen Li; Dawei Feng; Dongsheng Li 001; Zhen Huang 006; Yuxing Peng 001 (PCM (2), 2018)

KylinX: A Dynamic Library Operating System for Simplified and Efficient Cloud Virtualization. - Yiming Zhang 003; Jon Crowcroft; Dongsheng Li 001; Chengfen Zhang; Huiba Li; Yaozheng Wang; Kai Yu; Yongqiang Xiong; Guihai Chen (USENIX ATC, 2018)

UAV Swarm Cooperative Situation Perception Consensus Evaluation Method Based on Three-Parameter Interval Number and Heronian Mean Operator. - Yang Gao 017; Dongsheng Li 001 (IEEE Access, 2018)

Predicting the implicit and the explicit video popularity in a User Generated Content site with enhanced social features. - Adele Lu Jia; Siqi Shen; Dongsheng Li 001; Shengling Chen (Comput. Networks, 2018)

基于样本权重更新的不平衡数据集成学习方法 (Ensemble Learning Method for Imbalanced Data Based on Sample Weight Updating). - Shengling Chen; Siqi Shen; Dongsheng Li 001 (计算机科学, 2018)

CSR: Classified Source Routing in Distributed Networks. - Yiming Zhang 003; Dongsheng Li 001; Zhigang Sun; Feng Zhao 012; Jinshu Su; Xicheng Lu (IEEE Trans. Cloud Comput., 2018)

Every Timestamp Counts: Accurate Tracking of Network Latencies Using Reconcilable Difference Aggregator. - Yongquan Fu; Pere Barlet-Ros; Dongsheng Li 001 (IEEE/ACM Trans. Netw., 2018)

meGautz: A High Capacity, Fault-Tolerant and Traffic Isolated Modular Datacenter Network. - Feng Huang; Yiming Zhang 003; Dongsheng Li 001; Jiaxin Li; Jie Wu 001; Kaijun Ren; Deke Guo; Xicheng Lu (IEEE Trans. Serv. Comput., 2018)

Read + Verify: Machine Reading Comprehension with Unanswerable Questions. - Minghao Hu; Furu Wei; Yuxing Peng 001; Zhen Huang 006; Nan Yang 002; Dongsheng Li 001 (AAAI, 2019)

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. - Tao Sun 005; Penghang Yin; Dongsheng Li 001; Chun Huang; Lei Guan; Hao Jiang 001 (AAAI, 2019)

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension. - Minghao Hu; Yuxing Peng 001; Zhen Huang 006; Dongsheng Li 001 (ACL (1), 2019)

Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. - Minghao Hu; Yuxing Peng 001; Zhen Huang 006; Dongsheng Li 001; Yiwei Lv (ACL (1), 2019)

Exploring Pre-trained Language Models for Event Extraction and Generation. - Sen Yang 003; Dawei Feng; Linbo Qiao; Zhigang Kan; Dongsheng Li 001 (ACL (1), 2019)

A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning. - Minghao Hu; Yuxing Peng 001; Zhen Huang 006; Dongsheng Li 001 (EMNLP/IJCNLP (1), 2019)

URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks. - Huiba Li; Yiming Zhang 003; Dongsheng Li 001; Zhiming Zhang; Shengyun Liu; Peng Huang 005; Zheng Qin 002; Kai Chen 005; Yongqiang Xiong (EuroSys, 2019)

Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs. - Yu Tang; Lujia Yin; Zhaoning Zhang 001; Dongsheng Li 001 (ICA3PP (2), 2019)

Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring. - Tao Sun 005; Dongsheng Li 001; Hao Jiang 001; Zhe Quan (ICASSP, 2019)

Correlation Congruence for Knowledge Distillation. - Baoyun Peng; Xiao Jin; Dongsheng Li 001; Shunfeng Zhou; Yichao Wu; Jiaheng Liu; Zhaoning Zhang 001; Yu Liu 015 (ICCV, 2019)

Towards Precise End-to-End Weakly Supervised Object Detection Network. - Ke Yang 004; Dongsheng Li 001; Yong Dou (ICCV, 2019)

Geometry Guided Feature Aggregation in Video Face Recognition. - Baoyun Peng; Xiao Jin; Yichao Wu; Dongsheng Li 001 (ICCV Workshops, 2019)

HPDL: Towards a General Framework for High-performance Distributed Deep Learning. - Dongsheng Li 001; Zhiquan Lai; Keshi Ge; Yiming Zhang 003; Zhaoning Zhang 001; Qinglin Wang; Huaimin Wang (ICDCS, 2019)

Heavy-ball Algorithms Always Escape Saddle Points. - Tao Sun 005; Dongsheng Li 001; Zhe Quan; Hao Jiang 001; Shengguo Li; Yong Dou (IJCAI, 2019)

Author Disambiguation through Adversarial Network Representation Learning. - Liwen Peng; Siqi Shen; Dongsheng Li 001; Jun Xu; Yongquan Fu; Huayou Su (IJCNN, 2019)

Branch scheduling: dag-aware scheduling for speeding up data-parallel jobs. - Zhiyao Hu; Dongsheng Li 001; Yiming Zhang 003; Deke Guo; Ziyang Li (IWQoS, 2019)

A Distributed Topic Model for Large-Scale Streaming Text. - Yicong Li 001; Dawei Feng; Menglong Lu; Dongsheng Li 001 (KSEM (2), 2019)

Correction to: A Distributed Topic Model for Large-Scale Streaming Text. - Yicong Li 001; Dawei Feng; Menglong Lu; Dongsheng Li 001 (KSEM (2), 2019)

General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. - Tao Sun 005; Yuejiao Sun; Dongsheng Li 001; Qing Liao 001 (NeurIPS, 2019)

Resilient Disaggregated Network Flow Monitoring. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (SIGCOMM Posters and Demos, 2019)

A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter Optimization. - Jinze Liu; Tao Wang 006; Chenhui Feng; Huaimin Wang; Dongsheng Li 001 (IEEE Access, 2019)

Diting: An Author Disambiguation Method Based on Network Representation Learning. - Liwen Peng; Siqi Shen; Jun Xu; Yongquan Fu; Dongsheng Li 001; Adele Lu Jia (IEEE Access, 2019)

Person Re-Identification Based on Multi-Parts of Local Feature Network. - Zimian Wei; Wenjing Yang 002; Wanrong Huang; Huadong Dai; Dongsheng Li 001 (IEEE Access, 2019)

Understanding and Statically Detecting Synchronization Performance Bugs in Distributed Cloud Systems. - Chen Zhang; Jiaxin Li; Dongsheng Li 001; Xicheng Lu (IEEE Access, 2019)

Consensus evaluation method of multi-ground-target threat for unmanned aerial vehicle swarm based on heterogeneous group decision making. - Yang Gao 017; Dongsheng Li 001 (Comput. Electr. Eng., 2019)

IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition. - Ke Yang 004; Jingjing Fu; Xun Guo; Yan Lu 001; Peng Qiao; Dongsheng Li 001; Yong Dou (CoRR, 2019)

Locality-Sensitive Sketching for Resilient Network Flow Monitoring. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (CoRR, 2019)

Decentralized Markov Chain Gradient Descent. - Tao Sun 005; Tianyi Chen; Yuejiao Sun; Qing Liao 001; Dongsheng Li 001 (CoRR, 2019)

XPipe: Efficient Pipeline Model Parallelism for Multi-GPU DNN Training. - Lei Guan; Wotao Yin; Dongsheng Li 001; Xicheng Lu (CoRR, 2019)

A consensus model for heterogeneous multi-attribute group decision making with several attribute sets. - Yang Gao 017; Dong-sheng Li 001 (Expert Syst. Appl., 2019)

Bregman reweighted alternating minimization and its application to image deblurring. - Tao Sun 005; Linbo Qiao; Dongsheng Li 001 (Inf. Sci., 2019)

Exploring frame segmentation networks for temporal action localization. - Ke Yang 004; Xiaolong Shen; Peng Qiao; Shijie Li 002; Dongsheng Li 001; Yong Dou (J. Vis. Commun. Image Represent., 2019)

Mini-batch cutting plane method for regularized risk minimization. - Menglong Lu; Lin-Bo Qiao; Dawei Feng; Dongsheng Li 001; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2019)

TopoX: Topology Refactorization for Efficient Graph Partitioning and Processing. - Dongsheng Li 001; Yiming Zhang 003; Jinyan Wang; Kian-Lee Tan (Proc. VLDB Endow., 2019)

A Skewness-Aware Matrix Factorization Approach for Mesh-Structured Cloud Services. - Yongquan Fu; Dongsheng Li 001; Pere Barlet-Ros; Chun Huang; Zhen Huang 006; Siqi Shen; Huayou Su (IEEE/ACM Trans. Netw., 2019)

Leveraging Glocality for Fast Failure Recovery in Distributed RAM Storage. - Yiming Zhang 003; Dongsheng Li 001; Ling Liu 001 (ACM Trans. Storage, 2019)

Cost-Efficient Consolidating Service for Aliyun's Cloud-Scale Computing. - Huining Yan; Huaimin Wang; Xi Li; Yuan Wang; Dongsheng Li 001; Yunyang Zhang; Yu Xie; Zhongshan Liu; Wei Cao 006; Feng Yu 022 (IEEE Trans. Serv. Comput., 2019)

BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration. - Haonan Wang; Yiyun Zhang; Dawei Feng; Dongsheng Li 001; Feng Huang (SCC, 2020)

Meta-Learning for Neural Relation Classification with Distant Supervision. - Zhenzhen Li; Jian-Yun Nie; Benyou Wang; Pan Du 001; Yuhan Zhang 004; Lixin Zou; Dongsheng Li 001 (CIKM, 2020)

Rethinking Segmentation Guidance for Weakly Supervised Object Detection. - Ke Yang 004; Peng Zhang 035; Peng Qiao; Zhiyuan Wang; Huadong Dai; Tianlong Shen; Dongsheng Li 001; Yong Dou (CVPR Workshops, 2020)

Optimizing FFT-Based Convolution on ARMv8 Multi-core CPUs. - Qinglin Wang; Dongsheng Li 001; Xiandong Huang; Siqi Shen; Songzhu Mei; Jie Liu 002 (Euro-Par, 2020)

A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers. - Saiqin Long; Zhetao Li; Yun Xing; Shujuan Tian; Dongsheng Li 001; Rong Yu 001 (HPCC/DSS/SmartCity, 2020)

Attentional Fused Temporal Transformation Network for Video Action Recognition. - Ke Yang 004; Zhiyuan Wang; Huadong Dai; Tianlong Shen; Peng Qiao; Xin Niu 002; Jie Jiang; Dongsheng Li 001; Yong Dou (ICASSP, 2020)

DualGCN: Representation Learning for Property Graphs via Dual-level Convolutional Networks. - Yulei Yang; Dongsheng Li 001 (ICTAI, 2020)

Clustering-preserving Network Flow Sketching. - Yongquan Fu; Dongsheng Li 001; Siqi Shen; Yiming Zhang 003; Kai Chen 005 (INFOCOM, 2020)

ReLoca: Optimize Resource Allocation for Data-parallel Jobs using Deep Learning. - Zhiyao Hu; Dongsheng Li 001; Dongxiang Zhang; Yixin Chen 004 (INFOCOM, 2020)

Poster Abstract: Model Average-based Distributed Training for Sparse Deep Neural Networks. - Yuetong Yang; Zhiquan Lai; Lei Cai; Dongsheng Li 001 (INFOCOM Workshops, 2020)

Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation. - Yixin Chen 004; Xinye Lin; Keshi Ge; Wenbo He; Dongsheng Li 001 (IWQoS, 2020)

Objectness Consistent Representation for Weakly Supervised Object Detection. - Ke Yang 004; Peng Zhang 035; Peng Qiao; Zhiyuan Wang; Dongsheng Li 001; Yong Dou (ACM Multimedia, 2020)

A BERT-Based Semantic Matching Ranker for Open-Domain Question Answering. - Shiyi Xu; Feng Liu; Zhen Huang 006; Yuxing Peng 001; Dongsheng Li 001 (NLPIR, 2020)

ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach. - Yu Tang; Zhigang Kan; Dequan Sun; Linbo Qiao; Jingjing Xiao; Zhiquan Lai; Dongsheng Li 001 (ECML/PKDD (2), 2020)

A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis. - Xiaoge Deng; Tao Sun 005; Peibing Du; Dongsheng Li 001 (IEEE Access, 2020)

A novel target threat assessment method based on three-way decisions under intuitionistic fuzzy multi-attribute decision making environment. - Yang Gao 017; Dong-sheng Li 001; Hua Zhong (Eng. Appl. Artif. Intell., 2020)

An efficient parallel and distributed solution to nonconvex penalized linear SVMs. - Lei Guan; Tao Sun 005; Linbo Qiao; Zhi-hui Yang; Dongsheng Li 001; Ke-shi Ge; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2020)

Learning to select pseudo labels: a semi-supervised method for named entity recognition. - Zhenzhen Li; Dawei Feng; Dongsheng Li 001; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2020)

Large-scale graph processing systems: a survey. - Ning Liu 015; Dong-sheng Li 001; Yiming Zhang 003; Xiong-lve Li (Frontiers Inf. Technol. Electron. Eng., 2020)

Deep reinforcement learning: a survey. - Haonan Wang; Ning Liu 015; Yiyun Zhang; Dawei Feng; Feng Huang; Dong Sheng Li 001; Yiming Zhang 003 (Frontiers Inf. Technol. Electron. Eng., 2020)

Unmanned aerial vehicle swarm distributed cooperation method based on situation awareness consensus and its information processing mechanism. - Yang Gao 017; Dongsheng Li 001 (Knowl. Based Syst., 2020)

TopoX: Topology Refactorization for Minimizing Network Communication in Graph Computations. - Yiming Zhang 003; Haonan Wang; Menghan Jia; Jinyan Wang; Dong Sheng Li 001; Guangtao Xue; Kian-Lee Tan (IEEE/ACM Trans. Netw., 2020)

Stability and Generalization of Decentralized Stochastic Gradient Descent. - Tao Sun 005; Dongsheng Li 001; Bao Wang 001 (AAAI, 2021)

Multi-view Interaction Learning for Few-Shot Relation Classification. - Yi Han; Linbo Qiao; Jianming Zheng; Zhigang Kan; Linhui Feng; Yifu Gao; Yu Tang; Qi Zhai; Dongsheng Li 001; Xiangke Liao (CIKM, 2021)

CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. - Keshi Ge; Yiming Zhang 003; Yongquan Fu; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (CLUSTER, 2021)

2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters. - Lizhi Zhang; Zhiquan Lai; Shengwei Li; Yu Tang; Feng Liu; Dongsheng Li 001 (CLUSTER, 2021)

Diversity and Consistency: Exploring Visual Question-Answer Pair Generation. - Sen Yang 003; Qingyu Zhou; Dawei Feng; Yang Liu 259; Chao Li 063; Yunbo Cao; Dongsheng Li 001 (EMNLP (Findings), 2021)

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Linbo Qiao; Tao Sun 005; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2021)

Prediction of the Cyanobacteria Coverage in Time-series Images based on Convolutional Neural Network. - Xiangyu Ye; Zhiquan Lai; Dongsheng Li 001 (ICCCV, 2021)

HMA: An Efficient Training Method for NLP Models. - Yuetong Yang; Zhiquan Lai; Lei Cai; Dongsheng Li 001 (ICIAI, 2021)

Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. - Xiangyu Ye; Zhiquan Lai; Shengwei Li; Lei Cai; Ding Sun; Linbo Qiao; Dongsheng Li 001 (ICPP, 2021)

A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding. - Yang Liu 259; Shiyi Xu; Zhen Huang 006; Changjian Wang; Dongsheng Li 001; Feng Liu; Jinyan Qiu (IJCNN, 2021)

Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs. - Zhejiang Ran; Zhiquan Lai; Lizhi Zhang; Dongsheng Li 001 (IPCCC, 2021)

PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching. - Lizhi Zhang; Zhiquan Lai; Yu Tang; Dongsheng Li 001; Feng Liu; Xiaochun Luo (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. - Linhui Feng; Linbo Qiao; Yi Han; Zhigang Kan; Yifu Gao; Dongsheng Li 001 (KSEM, 2021)

Rumor Verification on Social Media with Stance-Aware Recursive Tree. - Xiaoyun Han; Zhen Huang 006; Menglong Lu; Dongsheng Li 001; Jinyan Qiu (KSEM, 2021)

Improved Partitioning Graph Embedding Framework for Small Cluster. - Ding Sun; Zhen Huang 006; Dongsheng Li 001; Xiangyu Ye; Yilin Wang (KSEM, 2021)

CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. - Qi Zhai; Zhigang Kan; Sen Yang 003; Linbo Qiao; Feng Liu; Dongsheng Li 001 (PAKDD (2), 2021)

Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction. - Hongya Zhang; Zhen Huang 006; Zhenzhen Li; Dongsheng Li 001; Feng Liu (PAKDD (2), 2021)

Graph Pooling via Coarsened Graph Infomax. - Yunsheng Pang; Yunxiang Zhao; Dongsheng Li 001 (SIGIR, 2021)

QRDF: An efficient RDF graph processing system for fast query. - Menghan Jia; Yiming Zhang 003; Dong-sheng Li 001 (Concurr. Comput. Pract. Exp., 2021)

Elastic scheduler: Heterogeneous and dynamic deep Learning in the cloud. - Lujia Yin; Yiming Zhang 003; Yuxing Peng 001; Dongsheng Li 001 (Concurr. Comput. Pract. Exp., 2021)

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. - Baoyun Peng; Min Liu 019; Heng Yang; Zhaoning Zhang 001; Dongsheng Li 001 (CoRR, 2021)

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. - Keshi Ge; Yongquan Fu; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (CoRR, 2021)

Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization. - Tao Sun 005; Huaming Ling; Zuoqiang Shi; Dongsheng Li 001; Bao Wang 001 (CoRR, 2021)

EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks. - Shengwei Li; Zhiquan Lai; Dongsheng Li 001; Xiangyu Ye; Yabo Duan (CoRR, 2021)

SASG: Sparsification with Adaptive Stochastic Gradients for Communication-efficient Distributed Learning. - Xiaoge Deng; Tao Sun 005; Dongsheng Li 001 (CoRR, 2021)

pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency. - Lei Guan; Zhi-hui Yang; Dongsheng Li 001; Xicheng Lu (Neurocomputing, 2021)

A survey of script learning. - Yi Han; Linbo Qiao; Jianming Zheng; Hefeng Wu; Dongsheng Li 001; Xiangke Liao (Frontiers Inf. Technol. Electron. Eng., 2021)

Effective and Efficient Content Redundancy Detection of Web Videos. - Yixin Chen 004; Dongsheng Li 001; Yu Hua 001; Wenbo He (IEEE Trans. Big Data, 2021)

Coordinative Scheduling of Computation and Communication in Data-Parallel Systems. - Dongsheng Li 001; Zhiyao Hu; Zhiquan Lai; Yiming Zhang 003; Kai Lu 001 (IEEE Trans. Computers, 2021)

Novel Convergence Results of Adaptive Stochastic Gradient Descents. - Tao Sun 005; Linbo Qiao; Qing Liao 001; Dong Sheng Li 001 (IEEE Trans. Image Process., 2021)

Nonergodic Complexity of Proximal Inertial Gradient Descents. - Tao Sun 005; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Optimizing Resource Allocation for Data-Parallel Jobs Via GCN-Based Prediction. - Zhiyao Hu; Dongsheng Li 001; Dongxiang Zhang; Yiming Zhang 003; Baoyun Peng (IEEE Trans. Parallel Distributed Syst., 2021)

GraphA: Efficient Partitioning and Storage for Distributed Graph Computation. - Yiming Zhang 003; Dong Sheng Li 001; Chengfei Zhang; Jinyan Wang; Ling Liu 001 (IEEE Trans. Serv. Comput., 2021)

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Hongzuo Xu (CIKM, 2022)

HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. - Yabo Duan; Zhiquan Lai; Shengwei Li; Weijie Liu; Keshi Ge; Peng Liang 017; Dongsheng Li 001 (CLUSTER, 2022)

AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. - Weijie Liu; Zhiquan Lai; Shengwei Li; Yabo Duan; Keshi Ge; Dongsheng Li 001 (CLUSTER, 2022)

Social Bot-Aware Graph Neural Network for Early Rumor Detection. - Zhen Huang 006; Zhilong Lv; Xiaoyun Han; Binyang Li; Menglong Lu; Dongsheng Li 001 (COLING, 2022)

Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. - Zhiliang Tian; Zhihua Wen; Zhenghao Wu; Yiping Song; Jintao Tang; Dongsheng Li 001; Nevin L. Zhang (DASFAA (3), 2022)

Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. - Zhiliang Tian; Yinliang Wang; Yiping Song; Chi Zhang; Dongkyu Lee; Yingxiu Zhao; Dongsheng Li 001; Nevin L. Zhang (EMNLP (Findings), 2022)

FAST: A Scalable Subgraph Matching Framework over Large Graphs. - Jiezhong He; Zhouyang Liu; Yixin Chen 004; Hengyue Pan; Zhen Huang 006; Dongsheng Li 001 (HPEC, 2022)

S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. - Keshi Ge; Yongquan Fu; Yiming Zhang 003; Zhiquan Lai; Xiaoge Deng; Dongsheng Li 001 (ICASSP, 2022)

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. - Zimian Wei; Hengyue Pan; Linbo Qiao; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2022)

Adaptive Random Walk Gradient Descent for Decentralized Optimization. - Tao Sun 005; Dongsheng Li 001; Bao Wang 001 (ICML, 2022)

MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. - Peng Qiao; Zhouyu He; Rongchun Li; Jingfei Jiang; Yong Dou; Dongsheng Li 001 (ICPADS, 2022)

EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. - Shengwei Li; Zhiquan Lai; Dongsheng Li 001; Yiming Zhang 003; Xiangyu Ye; Yabo Duan (ICPP, 2022)

Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition. - Yifan Chen; Zhan Huang; Minghao Hu; Dongsheng Li 001; Changjian Wang; Ankun Wang; Boyang Wang; Xicheng Lu (ICTAI, 2022)

Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. - Yifu Gao; Linhui Feng; Zhigang Kan; Yi Han; Linbo Qiao; Dongsheng Li 001 (IJCAI, 2022)

Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. - Beiya Dai; Jiangang Qian; Shiqing Cheng; Linbo Qiao; Dongsheng Li 001 (IJCNN, 2022)

SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs. - Yuqi He; Zhiquan Lai; Zhejiang Ran; Lizhi Zhang; Dongsheng Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation. - Ankun Wang; Feng Liu; Zhen Huang 006; Minghao Hu; Dongsheng Li 001; Yifan Chen; Xinjia Xie (KSEM (2), 2022)

Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text. - Zhenzhen Li; Yuyang Zhang; Jian-Yun Nie; Dongsheng Li 001 (NAACL-HLT (Findings), 2022)

Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks. - Tao Sun 005; Dongsheng Li 001; Bao Wang 001 (NeurIPS, 2022)

vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms. - Menghan Jia; Yiming Zhang 003; Xinbiao Gan; Dongsheng Li 001; Erci Xu; Ruibo Wang; Kai Lu 001 (SC, 2022)

Accelerating Sample-based GNN Training by Feature Caching on GPUs. - Yuqi He; Zhiquan Lai; Zhejiang Ran; Lizhi Zhang; Dongsheng Li 001 (SmartCloud, 2022)

Relational Context Enhanced Dual Path Reasoning for Fact Prediction in Knowledge Graph. - Yilin Wang; Zhen Huang 006; Minghao Hu; Dongsheng Li 001; Wei Luo; Dong Yang 010 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Distant context aware text generation from abstract meaning representation. - Sen Yang 003; Dawei Feng; Yang Liu 259; Dongsheng Li 001 (Appl. Intell., 2022)

BRGraph: An efficient graph neural network training system by reusing batch data on GPU. - Keshi Ge; Zhejiang Ran; Zhiquan Lai; Lizhi Zhang; Dongsheng Li 001 (Concurr. Comput. Pract. Exp., 2022)

UENAS: A Unified Evolution-based NAS Framework. - Zimian Wei; Hengyue Pan; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (CoRR, 2022)

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation. - Yu Tang; Chenyu Wang; Yufan Zhang; Yuliang Liu; Xingcheng Zhang; Linbo Qiao; Zhiquan Lai; Dongsheng Li 001 (CoRR, 2022)

Learning Convolutional Neural Networks in the Frequency Domain. - Hengyue Pan; Yixin Chen 004; Xin Niu 002; Wenbo Zhou; Dongsheng Li 001 (CoRR, 2022)

ConvFormer: Closing the Gap Between CNN and Vision Transformers. - Zimian Wei; Hengyue Pan; Xin Niu 002; Dongsheng Li 001 (CoRR, 2022)

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (CoRR, 2022)

Learning to classify relations between entities from noisy data - A meta instance reweighting approach. - Zhenzhen Li; Jian-Yun Nie; Yiping Song; Pan Du 001; Dongsheng Li 001 (Expert Syst. Appl., 2022)

Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization. - Tao Sun 005; Dongsheng Li 001 (Neural Networks, 2022)

Fixed-Size Objects Encoding for Visual Relationship Detection. - Hengyue Pan; Xin Niu 002; Siqi Shen; Yixin Chen 004; Peng Qiao; Zhen Huang 006; Dongsheng Li 001 (Neural Process. Lett., 2022)

Adaptive Temporal Difference Learning With Linear Function Approximation. - Tao Sun 005; Han Shen; Tianyi Chen; Dongsheng Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

General nonconvex total variation and low-rank regularizations: Model, algorithm and applications. - Tao Sun 005; Dongsheng Li 001 (Pattern Recognit., 2022)

SIFTER: A Framework for Robust Rumor Detection. - Menglong Lu; Zhen Huang 006; Binyang Li; Yunxiang Zhao; Zheng Qin 002; Dong Sheng Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Text Generation From Data With Dynamic Planning. - Sen Yang 003; Yang Liu 259; Dawei Feng; Dongsheng Li 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs. - Yiming Zhang 003; Lujia Yin; Dongsheng Li 001; Yuxing Peng 001; Kai Lu 001 (IEEE Trans. Computers, 2022)

Gradient Descent Learning With Floats. - Tao Sun 005; Ke Tang 001; Dongsheng Li 001 (IEEE Trans. Cybern., 2022)

Online Learning Bipartite Matching with Non-stationary Distributions. - Weirong Chen; Jiaqi Zheng 001; Haoyu Yu; Guihai Chen; Yixin Chen 004; Dongsheng Li 001 (ACM Trans. Knowl. Discov. Data, 2022)

Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations. - Tao Sun 005; Dongsheng Li 001 (IEEE Trans. Knowl. Data Eng., 2022)

Unsupervised Entity Resolution With Blocking and Graph Algorithms. - Dongxiang Zhang; Dongsheng Li 001; Long Guo; Kian-Lee Tan (IEEE Trans. Knowl. Data Eng., 2022)

Heterogeneous Systolic Array Architecture for Compact CNNs Hardware Accelerators. - Rui Xu; Sheng Ma; Yaohua Wang; Yang Guo 003; Dongsheng Li 001; Yuran Qiao (IEEE Trans. Parallel Distributed Syst., 2022)

Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. - Xiaoge Deng; Tao Sun 005; Shengwei Li; Dongsheng Li 001 (AAAI, 2023)

Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. - Yifu Gao; Yongquan He; Zhigang Kan; Yi Han; Linbo Qiao; Dongsheng Li 001 (ACL (Findings), 2023)

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. - Menglong Lu; Zhen Huang 006; Yunxiang Zhao; Zhiliang Tian; Yang Liu 259; Dongsheng Li 001 (ACL (1), 2023)

GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. - Zhihua Wen; Zhiliang Tian; Zhen Huang 006; Yuxin Yang; Zexin Jian; Changjian Wang; Dongsheng Li 001 (ACL (Findings), 2023)

Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. - Wei Wang; Zhiquan Lai; Shengwei Li; Weijie Liu; Keshi Ge; Yujie Liu; Ao Shen; Dongsheng Li 001 (CLUSTER, 2023)

Rotation-Invariant Transformer for Point Cloud Matching. - Hao Yu 010; Zheng Qin 002; Ji Hou; Mahdi Saleh; Dongsheng Li 001; Benjamin Busam; Slobodan Ilic (CVPR, 2023)

Normalized Stochastic Heavy Ball with Adaptive Momentum. - Ziqing Wen; Xiaoge Deng; Tao Sun 005; Dongsheng Li 001 (ECAI, 2023)

GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. - Zhihua Wen; Zhiliang Tian; Wei Wu; Yuxin Yang; Yanqi Shi; Zhen Huang 006; Dongsheng Li 001 (EMNLP (Findings), 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Changjian Wang; Dongsheng Li 001; Dacheng Tao (EMNLP, 2023)

Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. - Hongyu Chen; Zhejiang Ran; Keshi Ge; Zhiquan Lai; Jingfei Jiang; Dongsheng Li 001 (Euro-Par, 2023)

Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models. - Zhiquan Lai; Yanqi Hao; Shengwei Li; Dongsheng Li 001 (HPCC/DSS/SmartCity/DependSys, 2023)

Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View. - Zhiquan Lai; Yujie Liu; Wei Wang; Yanqi Hao; Dongsheng Li 001 (HPCC/DSS/SmartCity/DependSys, 2023)

Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism. - Yujie Liu; Zhiquan Lai; Weijie Liu; Wei Wang; Dongsheng Li 001 (HPCC/DSS/SmartCity/DependSys, 2023)

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. - Peijie Dong; Xin Niu 002; Lujun Li 001; Zhiliang Tian; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

Progressive Meta-Pooling Learning for Lightweight Image Classification Model. - Peijie Dong; Xin Niu 002; Zhiliang Tian; Lujun Li 001; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

MRML: Multimodal Rumor Detection by Deep Metric Learning. - Liwen Peng; Songlei Jian; Dongsheng Li 001; Siqi Shen (ICASSP, 2023)

DMFormer: Closing the gap Between CNN and Vision Transformers. - Zimian Wei; Hengyue Pan; Lujun Li 001; Menglong Lu; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2023)

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Xin Niu 002; Dongsheng Li 001 (ICIP, 2023)

Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. - Tao Sun 005; Qingsong Wang; Dongsheng Li 001; Bao Wang 001 (ICML, 2023)

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. - Menglong Lu; Zhen Huang 006; Zhiliang Tian; Yunxiang Zhao; Xuanyu Fei; Dongsheng Li 001 (IJCAI, 2023)

A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. - Yilin Wang; Minghao Hu; Zhen Huang 006; Dongsheng Li 001; Wei Luo; Dong Yang 010; Xicheng Lu (IJCAI, 2023)

Multi-level Contrastive Learning for Commonsense Question Answering. - Quntian Fang; Zhen Huang 006; Ziwen Zhang; Minghao Hu; Biao Hu; Ankun Wang; Dong Sheng Li 001 (KSEM (4), 2023)

AutoRF: Auto Learning Receptive Fields with Spatial Pooling. - Peijie Dong; Xin Niu 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001; Zhen Huang 006 (MMM (2), 2023)

CD-Sched: An Automated Scheduling Framework for Accelerating Neural Network Training on Shared Memory CPU-DSP Platforms. - Yuanyuan Xiao; Zhiquan Lai; Dongsheng Li 001 (PCCNT, 2023)

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. - Peng Liang 017; Hao Zheng; Teng Su; Linbo Qiao; Dongsheng Li 001 (CoRR, 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training. - Shengwei Li; Zhiquan Lai; Yanqi Hao; Weijie Liu; Keshi Ge; Xiaoge Deng; Dongsheng Li 001; Kai Lu 001 (CoRR, 2023)

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization. - Zhigang Kan; Linbo Qiao; Hao Yu 010; Liwen Peng; Yifu Gao; Dongsheng Li 001 (CoRR, 2023)

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent. - Xiaoge Deng; Li Shen 008; Shengwei Li; Tao Sun 005; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz. - Tao Sun 005; Congliang Chen; Peng Qiao; Li Shen 008; Xinwang Liu 002; Dongsheng Li 001 (CoRR, 2023)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (CoRR, 2023)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. - Zimian Wei; Lujun Li 001; Peijie Dong; Zheng Hui; Anggeng Li; Menglong Lu; Hengyue Pan; Zhiliang Tian; Dongsheng Li 001 (CoRR, 2023)

Structure Enhanced Path Reasoning for Knowledge Graph Completion. - Yilin Wang; Zhen Huang 006; Minghao Hu; Dongsheng Li 001; Xicheng Lu; Wei Luo; Dong Yang 010 (Int. J. Intell. Syst., 2023)

Pairwise Learning with Adaptive Online Gradient Descent. - Tao Sun 005; Qingsong Wang; Yunwen Lei; Dongsheng Li 001; Bao Wang 001 (Trans. Mach. Learn. Res., 2023)

Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models. - Keshi Ge; Kai Lu 001; Yongquan Fu; Xiaoge Deng; Zhiquan Lai; Dongsheng Li 001 (IEEE J. Sel. Areas Commun., 2023)

Decentralized Federated Averaging. - Tao Sun 005; Dongsheng Li 001; Bao Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (IEEE Trans. Knowl. Data Eng., 2023)

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. - Zhiquan Lai; Shengwei Li; Xudong Tang; Keshi Ge; Weijie Liu; Yabo Duan; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

SQUID: subtrajectory query in trillion-scale GPS database. - Dongxiang Zhang; Zhihao Chang; Dingyu Yang; Dongsheng Li 001; Kian-Lee Tan; Ke Chen 005; Gang Chen 001 (VLDB J., 2023)

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (IEEE Trans. Big Data, 2023)

Performance Bug Analysis and Detection for Distributed Storage and Computing Systems. - Jiaxin Li; Yiming Zhang 003; Shan Lu 001; Haryadi S. Gunawi; Xiaohui Gu; Feng Huang; Dongsheng Li 001 (ACM Trans. Storage, 2023)

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. - Peng Liang 017; Yu Tang; Xiaoda Zhang; Youhui Bai; Teng Su; Zhiquan Lai; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. - Zhigang Kan; Yanqi Shi; Zhangyue Yin; Liwen Peng; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (Inf. Sci., 2023)

Accelerating GNN Training by Adapting Large Graphs to Distributed Heterogeneous Architectures. - Lizhi Zhang; Kai Lu 001; Zhiquan Lai; Yongquan Fu; Yu Tang; Dongsheng Li 001 (IEEE Trans. Computers, 2023)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. - Zimian Wei; Peijie Dong; Zheng Hui; Anggeng Li; Lujun Li 001; Menglong Lu; Hengyue Pan; Dongsheng Li 001 (AAAI, 2024)

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. - Yifu Gao; Linbo Qiao; Zhigang Kan; Zhihua Wen; Yongquan He; Dongsheng Li 001 (ACL (Findings), 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Haoqi Zheng; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (ACL (1), 2024)

Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. - Zhigang Kan; Liwen Peng; Linbo Qiao; Dongsheng Li 001 (LREC/COLING, 2024)

Deep Tiny Network for Recognition-Oriented Face Image Quality Assessment. - Baoyun Peng; Min Liu 019; Zhaoning Zhang 001; Kai Xu 004; Dongsheng Li 001 (CVM (2), 2024)

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. - Yuxuan Guo; Zhiliang Tian; Yiping Song; Tianlun Liu; Liang Ding 006; Dongsheng Li 001 (EMNLP, 2024)

3D Parallelism for Transformers via Integer Programming. - Hao Zheng; Peng Liang 017; Yu Tang; Yanqi Shi; Linbo Qiao; Dongsheng Li 001 (ICASSP, 2024)

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). - Ning Liu 015; Songlei Jian; Dongsheng Li 001; Yiming Zhang 003; Zhiquan Lai; Hongzuo Xu (ICDE, 2024)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Dongsheng Li 001 (ICPR (5), 2024)

Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1. - Xiaoge Deng; Tao Sun 005; Dongsheng Li 001; Xicheng Lu (IJCAI, 2024)

HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism. - Yanqi Hao; Zhiquan Lai; Wei Wang; Shengwei Li; Weijie Liu; Keshi Ge; Dongsheng Li 001 (ISPA, 2024)

Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion. - Shenghong Ma; Jinwei Xu; Jingfei Jiang; Yaohua Wang; Dongsheng Li 001 (ISPA, 2024)

Meta Learning Based Rumor Detection with Awareness of Social Bot. - Zhilong Lv; Zhen Huang 006; Menglong Lu; Yuxin Yang; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (KSEM (3), 2024)

Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness. - Xiaoge Deng; Tao Sun 005; Shengwei Li; Dongsheng Li 001; Xicheng Lu (NeurIPS, 2024)

LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. - Zhigang Kan; Liwen Peng; Yifu Gao; Ning Liu 015; Linbo Qiao; Dongsheng Li 001 (WWW, 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (CoRR, 2024)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. - Hengyue Pan; Yixin Chen 004; Zhiliang Tian; Peng Qiao; Linbo Qiao; Dongsheng Li 001 (CoRR, 2024)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. - Yiping Song; Juhua Zhang; Zhiliang Tian; Yuxin Yang; Minlie Huang; Dongsheng Li 001 (CoRR, 2024)

Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. - Ping Luo; Xiaoge Deng; Ziqing Wen; Tao Sun 005; Dongsheng Li 001 (CoRR, 2024)

KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. - Yilin Wang; Minghao Hu; Zhen Huang 006; Dongsheng Li 001; Dong Yang 010; Xicheng Lu (CoRR, 2024)

Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game. - Qianqiao Xu; Zhiliang Tian; Hongyan Wu; Zhen Huang 006; Yiping Song; Feng Liu; Dongsheng Li 001 (CoRR, 2024)

LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions. - Xiaoran Zhao; Tianhao Wu; Yu Lai; Zhiliang Tian; Zhen Huang 006; Yahui Liu; Zejiang He; Dongsheng Li 001 (CoRR, 2024)

Score-based Generative Models with Adaptive Momentum. - Ziqing Wen; Xiaoge Deng; Ping Luo; Tao Sun 005; Dongsheng Li 001 (CoRR, 2024)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. - Zhihua Wen; Zhiliang Tian; Zexin Jian; Zhen Huang 006; Pei Ke; Yifu Gao; Minlie Huang; Dongsheng Li 001 (CoRR, 2024)

Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance. - Ao Shen; Qiang Wang 006; Zhiquan Lai; Xionglve Li; Dong-sheng Li 001 (CoRR, 2024)

Federated Prediction-Powered Inference from Decentralized Data. - Ping Luo; Xiaoge Deng; Ziqing Wen; Tao Sun 005; Dongsheng Li 001 (CoRR, 2024)

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. - Xinyue Fang; Zhen Huang 006; Zhiliang Tian; Minghui Fang 002; Ziyi Pan; Quntian Fang; Zhihua Wen; Hengyue Pan; Dong-sheng Li 001 (CoRR, 2024)

Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models. - Wei Wang; Zhiquan Lai; Shengwei Li; Weijie Liu; Keshi Ge; Ao Shen; Huayou Su; Dong Sheng Li 001 (CoRR, 2024)

Decentralized stochastic sharpness-aware minimization algorithm. - Simiao Chen; Xiaoge Deng; Dongpo Xu; Tao Sun 005; Dongsheng Li 001 (Neural Networks, 2024)

A Survey of Design and Optimization for Systolic Array-based DNN Accelerators. - Rui Xu; Sheng Ma; Yang Guo 003; Dongsheng Li 001 (ACM Comput. Surv., 2024)

Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. - Liwen Peng; Songlei Jian; Zhigang Kan; Linbo Qiao; Dong Sheng Li 001 (Inf. Process. Manag., 2024)

A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. - Dongsheng Li 001; Shengwei Li; Zhiquan Lai; Yongquan Fu; Xiangyu Ye; Lei Cai; Linbo Qiao (IEEE Trans. Parallel Distributed Syst., 2024)

Decentralized Scheduling for Data-Parallel Tasks in the Cloud. - Ziyang Li; Dongsheng Li 001; Yingwen Chen 001; Kai Chen 005; Yiming Zhang 003 (ACM Trans. Parallel Comput., 2024)

A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training. - Shengwei Li; Kai Lu 001; Zhiquan Lai; Weijie Liu; Keshi Ge; Dong Sheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2024)

SAL: Optimizing the Dataflow of Spin-based Architectures for Lightweight Neural Networks. - Yunping Zhao; Sheng Ma; Hengzhu Liu; Dongsheng Li 001 (ACM Trans. Archit. Code Optim., 2024)

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction. - Lei Guan; Dongsheng Li 001; Yanqi Shi; Jian Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Optimizing subgraph retrieval and matching with an efficient indexing scheme. - Jiezhong He; Yixin Chen 004; Zhouyang Liu; Dong-sheng Li 001 (Knowl. Inf. Syst., 2024)

DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping. - Yu Tang; Qiao Li 001; Lujia Yin; Dongsheng Li 001; Yiming Zhang 003; Chenyu Wang; Xingcheng Zhang; Linbo Qiao; Zhaoning Zhang 001; Kai Lu 001 (ACM Trans. Archit. Code Optim., 2024)

Efficient Block Storage in the Cloud. - Yiming Zhang 003; Zhihao Zhang; Yan Chen; Huiba Li; Haonan Wang; Ping Zhong 002; Shengyun Liu; Dongsheng Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. - Shilong Pan; Zhiliang Tian; Zhen Huang 006; Wanlong Yu; Zhihua Wen; Xinwang Liu 002; Kai Lu 001; Minlie Huang; Dongsheng Li 001 (ACL (1), 2025)

DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. - Zhonghao Sun; Zhiliang Tian; Yiping Song; Yuyi Si; Juhua Zhang; Minlie Huang; Kai Lu 001; Zeyu Xiong; Xinwang Liu 002; Dongsheng Li 001 (ACL (Findings), 2025)

DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. - Juhua Zhang; Zhiliang Tian; Minghang Zhu; Yiping Song; Taishu Sheng; Siyi Yang; Qiunan Du; Xinwang Liu 002; Minlie Huang; Dongsheng Li 001 (ACL (Findings), 2025)

Cheetah: Metadata Aggregation for Fast Object Storage without Distributed Ordering. - Yiming Zhang 003; Li Wang 123; Shengyun Liu; Shun Gai; Haonan Wang; Xin Yao; Meiling Wang; Kai Chen 005; Dongsheng Li 001; Jiwu Shu (EuroSys, 2025)

A Mixture-of-Experts Framework with Fake Review Detection for Robust Recommendation Systems. - Yaohui Guo; Menglong Lu; Zhilong Lv; Jinhui Zhao; Ziwen Zhang; Zhen Huang 006; Dongsheng Li 001 (ICIC (7), 2025)

AnchorTalk: High-Fidelity Upper-Body Talking Human Generation From Speech. - Yali Cai; Peng Qiao; Dongsheng Li 001 (ICMR, 2025)

Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. - Zhihua Wen; Zhizhao Liu; Zhiliang Tian; Shilong Pan; Zhen Huang 006; Dongsheng Li 001; Minlie Huang (WWW, 2025)

A unified multimodal classification framework based on deep metric learning. - Liwen Peng; Songlei Jian; Minne Li; Zhigang Kan; Linbo Qiao; Dongsheng Li 001 (Neural Networks, 2025)

Accurate and Efficient Fine-Tuning of Quantized Large Language Models Through Optimal Balance in Adaptation. - Ao Shen; Zhiquan Lai; Qiang Wang 006; Xionglve Li; Lizhi Zhang; Dongsheng Li 001; Jiaxin Li (Trans. Assoc. Comput. Linguistics, 2025)

Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges. - Zhouyang Liu; Ning Liu 015; Yixin Chen 004; Ziqing Wen; Jiezhong He; Dongsheng Li 001 (Trans. Mach. Learn. Res., 2025)

Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training. - Ziqing Wen; Ping Luo; Jiahuan Wang; Xiaoge Deng; Jinping Zou; Kun Yuan; Tao Sun 005; Dongsheng Li 001 (CoRR, 2025)

Automatic parallelism strategy generation with minimal memory redundancy. - Yanqi Shi; Peng Liang 017; Hao Zheng; Linbo Qiao; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient. - Xiaoge Deng; Dongsheng Li 001; Tao Sun 005; Xicheng Lu (IEEE Trans. Big Data, 2025)

Training large-scale language models with limited GPU memory: a survey. - Yu Tang; Linbo Qiao; Lujia Yin; Peng Liang 017; Ao Shen; Zhilin Yang; Lizhi Zhang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Bubble-Swap Flow Control. - Yi Dai; Kai Lu 001; Sheng Ma; Jinshu Su; Dongsheng Li 001 (ACM Trans. Archit. Code Optim., 2025)

Flexible Graph Similarity Computation With A Proactive Optimization Strategy. - Zhouyang Liu; Ning Liu 015; Yixin Chen 004; Jiezhong He; Dongsheng Li 001 (CoRR, 2025)

Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey. - Zhihong Liu; Xin Xu 001; Peng Qiao; Dongsheng Li 001 (ACM Comput. Surv., 2025)

Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward-penalty mechanism. - Haili Li; Zhiliang Tian; Xiaodong Wang 002; Yunyan Zhou; Shilong Pan; Jie Zhou 032; Qiubo Xu; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers. - Weijie Liu; Kai Lu 001; Zhiquan Lai; Shengwei Li; Keshi Ge; Dongsheng Li 001; Xicheng Lu (IEEE Trans. Computers, 2025)

Memory-efficient tensor parallelism for long-sequence Transformer training. - Peng Liang 017; Linbo Qiao; Yanqi Shi; Hao Zheng; Yu Tang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction. - Lei Guan; Dongsheng Li 001; Yongle Chen; Jiye Liang; Wenjian Wang; Xicheng Lu (IEEE Trans. Knowl. Data Eng., 2025)

Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language. - Yu Tang; Lujia Yin; Qiao Li 001; Hongyu Zhu; Hengjie Li; Xingcheng Zhang; Linbo Qiao; Dongsheng Li 001; Jiaxin Li (ACM Trans. Archit. Code Optim., 2025)

Tradeoff Performance and Energy Efficiency by Optimizing the Data Flow for PIM Architectures. - Yunping Zhao; Sheng Ma; Yuhua Tang; Hengzhu Liu; Dongsheng Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Toward Understanding the Generalizability of Delayed Stochastic Gradient Descent. - Xiaoge Deng; Li Shen 008; Shengwei Li; Tao Sun 005; Dongsheng Li 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

BHerd: Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients. - Ping Luo; Xiaoge Deng; Ziqing Wen; Tao Sun 005; Dongsheng Li 001 (IEEE Trans. Computers, 2025)

Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure. - Zhouyang Liu; Ning Liu 015; Yixin Chen 004; Jiezhong He; Menghan Jia; Dongsheng Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism. - Shengwei Li; Zhiquan Lai; Dongsheng Li 001; Yanqi Hao; Weijie Liu; Keshi Ge; Xiaoge Deng; Kai Lu 001 (IEEE Trans. Parallel Distributed Syst., 2025)

Efficient deep neural network training via decreasing precision with layer capacity. - Ao Shen; Zhiquan Lai; Tao Sun 005; Shengwei Li; Keshi Ge; Weijie Liu; Dongsheng Li 001 (Frontiers Comput. Sci., 2025)