Multitask Representation Learning With Multiview Graph Convolutional Networks. - Hong Huang 001; Yu Song 005; Yao Wu; Jia Shi; Xia Xie; Hai Jin 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

LoomIO: Object-Level Coordination in Distributed File Systems. - Yusheng Hua; Xuanhua Shi; Kang He; Hai Jin 001; Wei Xie; Ligang He; Yong Chen 001 (IEEE Trans. Parallel Distributed Syst., 2022)

ReHy: A ReRAM-Based Digital/Analog Hybrid PIM Architecture for Accelerating CNN Training. - Hai Jin 001; Cong Liu 028; Haikun Liu; Ruikun Luo; Jiahong Xu; Fubing Mao; Xiaofei Liao (IEEE Trans. Parallel Distributed Syst., 2022)

Data, User and Power Allocations for Caching in Multi-Access Edge Computing. - Xiaoyu Xia 001; Feifei Chen 001; Qiang He 001; Guangming Cui; John C. Grundy; Mohamed Almorsy Abdelrazek; Xiaolong Xu 001; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Formulating Cost-Effective Data Distribution Strategies Online for Edge Cache Systems. - Xiaoyu Xia 001; Feifei Chen 001; Qiang He 001; John C. Grundy; Mohamed Almorsy Abdelrazek; Jun Shen 001; Athman Bouguettaya; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Accelerating Backward Aggregation in GCN Training With Execution Path Preparing on GPUs. - Shaoxian Xu; Zhiyuan Shao; Ci Yang; Xiaofei Liao; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Trading off Between Multi-Tenancy and Interference: A Service User Allocation Game. - Guangming Cui; Qiang He 001; Feifei Chen 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Serv. Comput., 2022)

Efficient Verification of Edge Data Integrity in Edge Computing Environment. - Guangming Cui; Qiang He 001; Bo Li 103; Xiaoyu Xia 001; Feifei Chen 001; Hai Jin 001; Yang Xiang 001; Yun Yang 001 (IEEE Trans. Serv. Comput., 2022)

READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment. - Bo Li 103; Qiang He 001; Guangming Cui; Xiaoyu Xia 001; Feifei Chen 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Serv. Comput., 2022)

Constrained App Data Caching Over Edge Server Graphs in Edge Computing Environment. - Xiaoyu Xia 001; Feifei Chen 001; John C. Grundy; Mohamed Abdelrazek 001; Hai Jin 001; Qiang He 001 (IEEE Trans. Serv. Comput., 2022)

Providing Fast Reachability Query Services With MGTag: A Multi-Dimensional Graph Labeling Method. - Pingpeng Yuan; Yujie You; Shuang Zhou 007; Hai Jin 001; Ling Liu 001 (IEEE Trans. Serv. Comput., 2022)

Aroc: An Automatic Repair Framework for On-Chain Smart Contracts. - Hai Jin 001; Zeli Wang; Ming Wen 001; Weiqi Dai; Yu Zhu; Deqing Zou (IEEE Trans. Software Eng., 2022)

Mining Stable Quasi-Cliques on Temporal Networks. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Jifei Wang; Ling Liu 001; Hai Jin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Modeling Information Diffusion With Sequential Interactive Hypergraphs. - Hai Jin 001; Yao Wu; Hong Huang 001; Yu Song 005; HaoHui Wei; Xuanhua Shi (IEEE Trans. Sustain. Comput., 2022)

Cost-Effective Edge Server Network Design in Mobile Edge Computing Environment. - Ruikun Luo; Hai Jin 001; Qiang He 001; Song Wu 001; Xiaoyu Xia 001 (IEEE Trans. Sustain. Comput., 2022)

Cost Efficient Sensor Positions Determination For Human Activity Recognition. - Xianwei Lv 001; Chen Yu 003; Hai Jin 001; Ruiguo Zhang (IEEE Trans. Sustain. Comput., 2022)

A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning. - Feng Lu 003; Wei Li 058; Zhiqiang Zhou; Cheng Song; Yifei Sun; Yuwei Zhang; Yufei Ren; Xiaofei Liao; Hai Jin 001; Ailin Luo; Albert Y. Zomaya (AAAI, 2023)

AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract). - Haoyang Chen; Shuai Liu; Feng Lu 003; Wei Li 058; Bin Sheng 001; Mi Li; Hai Jin 001; Albert Y. Zomaya (AAAI, 2023)

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. - Shengshan Hu; Junwei Zhang; Wei Liu 004; Junhui Hou; Minghui Li; Leo Yu Zhang; Hai Jin 001; Lichao Sun 001 (AAAI, 2023)

ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract). - Yifei Sun; Cheng Song; Feng Lu 003; Wei Li 058; Hai Jin 001; Albert Y. Zomaya (AAAI, 2023)

Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. - Zhuohui Duan; Jiabo Yao; Haikun Liu; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (ASPLOS (2), 2023)

GZKP: A GPU Accelerated Zero-Knowledge Proof System. - Weiliang Ma; Qian Xiong; Xuanhua Shi; Xiaosong Ma; Hai Jin 001; Haozhao Kuang; Mingyu Gao 001; Ye Zhang; Haichen Shen; Weifang Hu (ASPLOS (2), 2023)

SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. - Chencheng Ye 001; Yuanchao Xu 001; Xipeng Shen; Yan Sha; Xiaofei Liao; Hai Jin 001; Yan Solihin (ASPLOS (2), 2023)

Lost along the Way: Understanding and Mitigating Path-Misresolution Threats to Container Isolation. - Zhi Li 048; Weijie Liu 004; XiaoFeng Wang 001; Bin Yuan; Hongliang Tian; Hai Jin 001; Shoumeng Yan (CCS, 2023)

Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. - Xiaogeng Liu; Minghui Li; Haoyu Wang; Shengshan Hu; Dengpan Ye; Hai Jin 001; Libing Wu; Chaowei Xiao (CVPR, 2023)

MeG2: In-Memory Acceleration for Genome Graphs Analysis. - Yu Huang 013; Long Zheng 003; Haifeng Liu 003; Zhuoran Zhou; Dan Chen 006; Pengcheng Yao; Qinggang Wang; Xiaofei Liao; Hai Jin 001 (DAC, 2023)

ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy. - Zihan Jiang; Fubing Mao; Yapu Guo; Xu Liu; Haikun Liu; Xiaofei Liao; Hai Jin 001; Wei Zhang 012 (DAC, 2023)

PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. - Hao Qi 004; Yu Zhang 027; Ligang He; Kang Luo; Jun Huang; Haoyu Lu; Jin Zhao 003; Hai Jin 001 (DAC, 2023)

SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. - Jin Zhao 003; Yu Zhang 027; Jian Cheng; Yiyang Wu; Chuyue Ye; Hui Yu; Zhiying Huang; Hai Jin 001; Xiaofei Liao; Lin Gu 002; Haikun Liu (DAC, 2023)

Anole: A Lightweight and Verifiable Learned-Based Index for Time Range Query on Blockchain Systems. - Jian Chang; Binhong Li; Jiang Xiao; Licheng Lin; Hai Jin 001 (DASFAA (1), 2023)

JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation. - Kunlun Ren; Weizhong Qiang; Yueming Wu 001; Yi Zhou; Deqing Zou; Hai Jin 001 (DSN, 2023)

SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. - Zhengtao Liu; Lei Tan; Mengfan Li; Yao Wan 001; Hai Jin 001; Xuanhua Shi (EMNLP (Findings), 2023)

You Reset I Attack! A Master Password Guessing Attack Against Honey Password Vaults. - Tingting Rao; Yixin Su; Peng Xu 003; Yubo Zheng; Wei Wang 088; Hai Jin 001 (ESORICS (3), 2023)

Secure Outsourced Matrix Multiplication with Fully Homomorphic Encryption. - Lin Zhu; Qiang-Sheng Hua; Yi Chen; Hai Jin 001 (ESORICS (1), 2023)

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. - Chaoqiang Liu; Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Xiangyu Ye; Xiaofei Liao; Hai Jin 001 (FPGA, 2023)

FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement. - Dezhong Yao 002; Tongtong Liu 006; Qi Cao 002; Hai Jin 001 (GPC (2), 2023)

Reconciling Selective Logging and Hardware Persistent Memory Transaction. - Chencheng Ye 001; Yuanchao Xu 001; Xipeng Shen; Yan Sha; Xiaofei Liao; Hai Jin 001; Yan Solihin (HPCA, 2023)

Downstream-agnostic Adversarial Examples. - Ziqi Zhou 001; Shengshan Hu; Ruizhi Zhao; Qian Wang 002; Leo Yu Zhang; Junhui Hou; Hai Jin 001 (ICCV, 2023)

GeckoDAG: Towards a Lightweight DAG-Based Blockchain via Reducing Data Redundancy. - Xiaohai Dai; Yifan Zhou; Jiang Xiao; Feng Cheng; Xia Xie; Hai Jin 001; Bo Li 001 (ICDCS, 2023)

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. - Long Zheng 003; Xiangyu Ye; Haifeng Liu 003; Qinggang Wang; Yu Huang 013; Chuangyi Gui; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (ICDE, 2023)

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. - Kangzheng Liu; Feng Zhao 003; Guandong Xu; Xianzhi Wang 001; Hai Jin 001 (ICDE, 2023)

Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. - Haoxiang Jia; Ming Wen 001; Zifan Xie; Xiaochen Guo; Rongxin Wu; Maolin Sun; Kang Chen; Hai Jin 001 (ICSE, 2023)

Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. - Maolin Sun; Yibiao Yang; Ming Wen 001; Yongcong Wang; Yuming Zhou; Hai Jin 001 (ICSE, 2023)

Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem. - Yulun Wu; Zeliang Yu; Ming Wen 001; Qiang Li; Deqing Zou; Hai Jin 001 (ICSE, 2023)

Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model. - Bin Yuan; Yifan Lu; Yilin Fang; Yueming Wu 001; Deqing Zou; Zhen Li 027; Zhi Li 048; Hai Jin 001 (ICSE, 2023)

Incremental and Decremental Optimal Margin Distribution Learning. - Li-Jun Chen; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (IJCAI, 2023)

Scalable Optimal Margin Distribution Machine. - Yilin Wang; Nan Cao 002; Teng Zhang 001; Xuanhua Shi; Hai Jin 001 (IJCAI, 2023)

LOPO: An Out-of-order Layer Pulling Orchestration Strategy for Fast Microservice Startup. - Lin Gu 002; Junhao Huang; Shaoxing Huang; Deze Zeng; Bo Li 001; Hai Jin 001 (INFOCOM, 2023)

FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection. - Xiong Wang 006; Yuxin Chen; Yuqing Li; Xiaofei Liao; Hai Jin 001; Bo Li 001 (INFOCOM, 2023)

Comparing the Performance of Different Code Representations for Learning-based Vulnerability Detection. - Yuting Zhang; Jiahao Zhu; Yixin Yang; Ming Wen 001; Hai Jin 001 (Internetware, 2023)

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. - Haiheng He; Dan Chen 006; Long Zheng 003; Yu Huang 013; Haifeng Liu 003; Chaoqiang Liu; Xiaofei Liao; Hai Jin 001 (IPDPS, 2023)

Duo: Improving Data Sharing of Stateful Serverless Applications by Efficiently Caching Multi-Read Data. - Zhuo Huang; Hao Fan 006; Chaoyi Cheng; Song Wu 001; Hai Jin 001 (IPDPS, 2023)

Software-Defined, Fast and Strongly-Consistent Data Replication for RDMA-Based PM Datastores. - Haodi Lu; Haikun Liu; Chencheng Ye 001; Xiaofei Liao; Fubing Mao; Yu Zhang 027; Hai Jin 001 (IPDPS, 2023)

QoS-Aware and Cost-Efficient Dynamic Resource Allocation for Serverless ML Workflows. - Hao Wu 010; Junxiao Deng; Hao Fan 006; Shadi Ibrahim; Song Wu 001; Hai Jin 001 (IPDPS, 2023)

MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing. - Dan Chen 006; Haiheng He; Hai Jin 001; Long Zheng 003; Yu Huang 013; Xinyang Shen; Xiaofei Liao (ISCA, 2023)

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Chaoqiang Liu; Xiangyu Ye; Jingrui Yuan; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2023)

Interpreters for GNN-Based Vulnerability Detection: Are We There Yet? - Yutao Hu; Suyuan Wang; Wenke Li; Junru Peng; Yueming Wu 001; Deqing Zou; Hai Jin 001 (ISSTA, 2023)

Fine-Grained Code Clone Detection with Block-Based Splitting of Abstract Syntax Tree. - Tiancheng Hu; Zijing Xu; Yilin Fang; Yueming Wu 001; Bin Yuan; Deqing Zou; Hai Jin 001 (ISSTA, 2023)

An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors. - Kunlun Ren; Weizhong Qiang; Yueming Wu 001; Yi Zhou; Deqing Zou; Hai Jin 001 (ISSTA, 2023)

Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. - Zifan Xie; Ming Wen 001; Haoxiang Jia; Xiaochen Guo; Xiaotong Huang; Deqing Zou; Hai Jin 001 (ISSTA, 2023)

Effective Concurrency Testing for Go via Directional Primitive-Constrained Interleaving Exploration. - Zongze Jiang; Ming Wen 001; Yixin Yang; Chao Peng 002; Ping Yang; Hai Jin 001 (ASE, 2023)

Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers. - Zhen Li 027; Ruqian Zhang; Deqing Zou; Ning Wang 098; Yating Li; Shouhuai Xu; Chen Chen 001; Hai Jin 001 (ASE, 2023)

Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. - Yaning Jia; Dongmian Zou; Hongfei Wang; Hai Jin 001 (KDD, 2023)

A Four-Pronged Defense Against Byzantine Attacks in Federated Learning. - Wei Wan; Shengshan Hu; Minghui Li; Jianrong Lu; Longling Zhang; Leo Yu Zhang; Hai Jin 001 (ACM Multimedia, 2023)

AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning. - Ziqi Zhou 001; Shengshan Hu; Minghui Li; Hangtao Zhang; Yechao Zhang; Hai Jin 001 (ACM Multimedia, 2023)

The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption. - Tianyang Chen; Peng Xu 003; Stjepan Picek; Bo Luo; Willy Susilo; Hai Jin 001; Kaitai Liang (NDSS, 2023)

Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart Split-Learning Hijacking Attacks Using Intrinsic Attributes. - Jiayun Fu; Xiaojing Ma 002; Bin B. Zhu; Pingyi Hu; Ruixin Zhao; Yaru Jia; Peng Xu 003; Hai Jin 001; Dongmei Zhang 001 (NDSS, 2023)

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. - Zihan Luo 001; Hong Huang 001; Jianxun Lian; Xiran Song; Xing Xie 001; Hai Jin 001 (NeurIPS, 2023)

Exploring Word-Sememe Graph-Centric Chinese Antonym Detection. - Zhaobo Zhang; Pingpeng Yuan; Hai Jin 001 (ECML/PKDD (3), 2023)

EDIndex: Enabling Fast Data Queries in Edge Storage Systems. - Qiang He 001; Siyu Tan; Feifei Chen 001; Xiaolong Xu 001; Lianyong Qi; Xinhong Hei 001; Hai Jin 001; Yun Yang 001 (SIGIR, 2023)

An Extensive Study on Adversarial Attack against Pre-trained Models of Code. - Xiaohu Du; Ming Wen 001; Zichao Wei; Shangwen Wang; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Understanding the Bug Characteristics and Fix Strategies of Federated Learning Systems. - Xiaohu Du; Xiao Chen; Jialun Cao; Ming Wen 001; Shing-Chi Cheung; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Tritor: Detecting Semantic Code Clones by Building Social Network-Based Triads Model. - Deqing Zou; Siyue Feng; Yueming Wu 001; Wenqi Suo; Hai Jin 001 (ESEC/SIGSOFT FSE, 2023)

Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow. - Chuangyi Gui; Xiaofei Liao; Long Zheng 003; Hai Jin 001 (USENIX ATC, 2023)

EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence. - Zeqian Dong; Qiang He 001; Feifei Chen 001; Hai Jin 001; Tao Gu 001; Yun Yang 001 (WWW, 2023)

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. - Xiran Song; Jianxun Lian; Hong Huang 001; Zihan Luo 001; Wei Zhou; Xue Lin 005; Mingqi Wu; Chaozhuo Li; Xing Xie 001; Hai Jin 001 (WWW, 2023)

FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. - Kaibin Wang; Qiang He 001; Feifei Chen 001; Chunyang Chen 001; Faliang Huang; Hai Jin 001; Yun Yang 001 (WWW, 2023)

FedEdge: Accelerating Edge-Assisted Federated Learning. - Kaibin Wang; Qiang He 001; Feifei Chen 001; Hai Jin 001; Yun Yang 001 (WWW, 2023)

PipeEdge: A Trusted Pipelining Collaborative Edge Training based on Blockchain. - Liang Yuan; Qiang He 001; Feifei Chen 001; Ruihan Dou; Hai Jin 001; Yun Yang 001 (WWW, 2023)

Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Chunxue Zhu; Hongchao Qin; Hai Jin 001; Tao Jia 001 (CoRR, 2023)

Why Does Little Robustness Help? Understanding Adversarial Transferability From Surrogate Training. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (CoRR, 2023)

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations. - Xianlong Wang 001; Shengshan Hu; Minghui Li; Zhifei Yu; Ziqi Zhou 001; Leo Yu Zhang; Hai Jin 001 (CoRR, 2023)

Graph for Science: From API based Programming to Graph Engine based Programming for HPC. - Yu Zhang 027; Zixiao Wang 005; Jin Zhao 003; Yuluo Guo; Hai Jin 001; Hui Yu; Zhiying Huang; Xuanhua Shi; Xiaofei Liao (CoRR, 2023)

A Survey on Wireless Device-free Human Sensing: Application Scenarios, Current Solutions, and Open Issues. - Jiang Xiao; Huichuwu Li; Minrui Wu; Hai Jin 001; M. Jamal Deen; Jiannong Cao 001 (ACM Comput. Surv., 2023)

UCat: heterogeneous memory management for unikernels. - Chong Tian; Haikun Liu; Xiaofei Liao; Hai Jin 001 (Frontiers Comput. Sci., 2023)

PDAS: Improving network pruning based on Progressive Differentiable Architecture Search for DNNs. - Wenbin Jiang 001; Yuhao Chen; Suyang Wen; Long Zheng 003; Hai Jin 001 (Future Gener. Comput. Syst., 2023)

ParBFT: Faster Asynchronous BFT Consensus with a Parallel Optimistic Path. - Xiaohai Dai; Bolin Zhang; Hai Jin 001; Ling Ren 001 (IACR Cryptol. ePrint Arch., 2023)

FS-Net: Frequency Statistical Network for Temporal Knowledge Graph Reasoning. - Kangzheng Liu; Feng Zhao 003; Hai Jin 001 (Int. J. Softw. Informatics, 2023)

VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator. - Hao Ming; Tingting Pan; Dong Chen 015; Chencheng Ye 001; Haikun Liu; Liting Tang; Xiaofei Liao; Hai Jin 001 (J. Syst. Archit., 2023)

Auxo: A Scalable and Efficient Graph Stream Summarization Structure. - Zhiguo Jiang; Hanhua Chen; Hai Jin 001 (Proc. VLDB Endow., 2023)

Multi-path exploration guided by taint and probability against evasive malware. - Fangzhou Xu; Wang Zhang; Weizhong Qiang; Hai Jin 001 (Secur. Saf., 2023)

Nereus: A Distributed Stream Band Join System With Adaptive Range Partitioning. - Shuiying Yu; Hanhua Chen; Hai Jin 001 (IEEE Trans. Consumer Electron., 2023)

Does OpenBSD and Firefox's Security Improve With Time? - Jian Shi; Deqing Zou; Shouhuai Xu; Xianjun Deng; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2023)

SmartPatch: Verifying the Authenticity of the Trigger-Event in the IoT Platform. - Bin Yuan; Yuhan Wu; Maogen Yang; Luyi Xing; Xuchang Wang; Deqing Zou; Hai Jin 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Differentially Private Deep Learning With Dynamic Privacy Budget Allocation and Adaptive Optimization. - Lin Chen 033; Danyang Yue; Xiaofeng Ding 001; Zuan Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

A Dynamic-Efficient Structure for Secure and Verifiable Location-Based Skyline Queries. - Zuan Wang; Liang Zhang; Xiaofeng Ding 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Inf. Forensics Secur., 2023)

Location Privacy Protection via Delocalization in 5G Mobile Edge Computing Environment. - Guangming Cui; Qiang He 001; Feifei Chen 001; Hai Jin 001; Yang Xiang 001; Yun Yang 001 (IEEE Trans. Serv. Comput., 2023)

Cost-Effective Data Placement in Edge Storage Systems With Erasure Code. - Hai Jin 001; Ruikun Luo; Qiang He 001; Song Wu 001; Zilai Zeng; Xiaoyu Xia 001 (IEEE Trans. Serv. Comput., 2023)

Container Session Level Traffic Prediction From Network Interface Usage. - Lin Gu 002; Honghao Xu; Ziyuan Li; Zirui Chen; Hai Jin 001 (IEEE Trans. Sustain. Comput., 2023)

Service Management and Energy Scheduling Toward Low-Carbon Edge Computing. - Lin Gu 002; Weiying Zhang; Zhongkui Wang; Deze Zeng; Hai Jin 001 (IEEE Trans. Sustain. Comput., 2023)

Improving Entity Linking in Chinese Domain by Sense Embedding Based on Graph Clustering. - Zhaobo Zhang; Zhi-Man Zhong; Pingpeng Yuan; Hai Jin 001 (J. Comput. Sci. Technol., 2023)

Personalized Edge Intelligence via Federated Self-Knowledge Distillation. - Hai Jin 001; Dongshan Bai; Dezhong Yao 002; Yutong Dai 002; Lin Gu 002; Chen Yu 003; Lichao Sun 001 (IEEE Trans. Parallel Distributed Syst., 2023)

HyperBit: A temporal graph store for fast answering queries. - Shaoqi Zang; Sheng Han; Pingpeng Yuan; Xuanhua Shi; Hai Jin 001 (Data Knowl. Eng., 2023)

SpecTerminator: Blocking Speculative Side Channels Based on Instruction Classes on RISC-V. - Hai Jin 001; Zhuo He; Weizhong Qiang (ACM Trans. Archit. Code Optim., 2023)

Adapt Burstable Containers to Variable CPU Resources. - Hang Huang; Yuqing Zhao; Jia Rao; Song Wu 001; Hai Jin 001; Duoqiang Wang; Kun Suo; Lisong Pan (IEEE Trans. Computers, 2023)

Demand Response in NOMA-Based Mobile Edge Computing: A Two-Phase Game-Theoretical Approach. - Guangming Cui; Qiang He 001; Xiaoyu Xia 001; Feifei Chen 001; Tao Gu 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Mob. Comput., 2023)

OL-MEDC: An Online Approach for Cost-Effective Data Caching in Mobile Edge Computing Systems. - Xiaoyu Xia 001; Feifei Chen 001; Qiang He 001; Guangming Cui; John Grundy 001; Mohamed Abdelrazek 001; Athman Bouguettaya; Hai Jin 001 (IEEE Trans. Mob. Comput., 2023)

Revisiting Core Maintenance for Dynamic Hypergraphs. - Qiang-Sheng Hua; Xiaohui Zhang 016; Hai Jin 001; Hong Huang 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Characterizing and optimizing Kernel resource isolation for containers. - Kun Wang 005; Song Wu 001; Kun Suo; Yijie Liu; Hang Huang; Zhuo Huang; Hai Jin 001 (Future Gener. Comput. Syst., 2023)

On the Security of Smart Home Systems: A Survey. - Bin Yuan; Jun Wan 006; Yuhan Wu; Deqing Zou; Hai Jin 001 (J. Comput. Sci. Technol., 2023)

Parallel Overlapping Community Detection Algorithm on GPU. - Zhigao Zheng 001; Xuanhua Shi; Hai Jin 001 (IEEE Trans. Big Data, 2023)

OL-EUA: Online User Allocation for NOMA-Based Mobile Edge Computing. - Guangming Cui; Qiang He 001; Xiaoyu Xia 001; Feifei Chen 001; Fang Dong 001; Hai Jin 001; Yun Yang 001 (IEEE Trans. Mob. Comput., 2023)

Effective Isolation of Fault-Correlated Variables via Statistical and Mutation Analysis. - Ming Wen 001; Zifan Xie; Kaixuan Luo; Xiao Chen; Yibiao Yang; Hai Jin 001 (IEEE Trans. Software Eng., 2023)

Enabling Balanced Data Deduplication in Mobile Edge Computing. - Ruikun Luo; Hai Jin 001; Qiang He 001; Song Wu 001; Xiaoyu Xia 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Distributed dynamic online learning with differential privacy via path-length measurement. - Lin Chen 033; Xiaofeng Ding 001; Pan Zhou 001; Hai Jin 001 (Inf. Sci., 2023)

A learned spatial textual index for efficient keyword queries. - Xiaofeng Ding 001; Yinting Zheng; Zuan Wang; Kim-Kwang Raymond Choo; Hai Jin 001 (J. Intell. Inf. Syst., 2023)

BayesKGR: Bayesian Few-Shot Learning for Knowledge Graph Reasoning. - Feng Zhao 003; Cheng Yan; Hai Jin 001; Lifang He 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

PMLiteDB: Streamlining Access Paths for High-Performance Persistent Memory Document Database Systems. - Hai Jin 001; Shuo Wei; Yan Sha; Chencheng Ye 001; Haikun Liu; Xiaofei Liao (IEEE Trans. Computers, 2023)

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. - Yu Zhang 027; Yuxuan Liang; Jin Zhao 003; Fubing Mao; Lin Gu 002; Xiaofei Liao; Hai Jin 001; Haikun Liu; Song Guo 001; Yangqing Zeng; Hang Hu 018; Chen Li; et al. (IEEE Trans. Knowl. Data Eng., 2023)

TurboMGNN: Improving Concurrent GNN Training Tasks on GPU With Fine-Grained Kernel Fusion. - Wenchao Wu; Xuanhua Shi; Ligang He; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Evaluating RISC-V Vector Instruction Set Architecture Extension with Computer Vision Workloads. - Ruoshi Li; Ping Peng; Zhiyuan Shao; Hai Jin 001; Ran Zheng (J. Comput. Sci. Technol., 2023)

HardGBM: A Framework for Accurate and Hardware-Efficient Gradient Boosting Machines. - Hongfei Wang; Zhanfei Wu; Xiangwei Wang; Longyun Bian; Hai Jin 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. - Jin Zhao 003; Yu Zhang 027; Ligang He; Qikun Li; Xiang Zhang; Xinyu Jiang; Hui Yu; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu; Bingsheng He; et al. (ACM Trans. Archit. Code Optim., 2023)

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. - Hai Jin 001; Dan Chen 006; Long Zheng 003; Yu Huang 013; Pengcheng Yao; Jin Zhao 003; Xiaofei Liao; Wenbin Jiang 001 (IEEE Trans. Computers, 2023)

TurboGNN: Improving the End-to-End Performance for Sampling-Based GNN Training on GPUs. - Wenchao Wu; Xuanhua Shi; Ligang He; Hai Jin 001 (IEEE Trans. Computers, 2023)

Object Fingerprint Cache for Heterogeneous Memory System. - Fang Zhou; Song Wu 001; Jianhui Yue; Hai Jin 001; Jiangqiu Shen (IEEE Trans. Computers, 2023)

Accelerating Content-Defined Chunking for Data Deduplication Based on Speculative Jump. - Xiaozhong Jin; Haikun Liu; Chencheng Ye 001; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (IEEE Trans. Parallel Distributed Syst., 2023)

Code2Img: Tree-Based Image Transformation for Scalable Code Clone Detection. - Yutao Hu; Yilin Fang; Yifan Sun; Yaru Jia; Yueming Wu 001; Deqing Zou; Hai Jin 001 (IEEE Trans. Software Eng., 2023)

HTSE: hierarchical time-surface model for temporal knowledge graph embedding. - Langjunqing Jin; Feng Zhao 003; Hai Jin 001 (World Wide Web (WWW), 2023)

A Feedback-Driven DNN Inference Acceleration System for Edge-Assisted Video Analytics. - Xianwei Lv 001; Qianqian Wang; Chen Yu 003; Hai Jin 001 (IEEE Trans. Computers, 2023)

Waterwave: A GPU Memory Flow Engine for Concurrent DNN Training. - Xuanhua Shi; Xuan Peng; Ligang He; Yunfei Zhao; Hai Jin 001 (IEEE Trans. Computers, 2023)

Efficient Location-Based Skyline Queries With Secure R-Tree Over Encrypted Data. - Zuan Wang; Xiaofeng Ding 001; Junfeng Lu; Liang Zhang; Pan Zhou 001; Kim-Kwang Raymond Choo; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Evaluating seed selection for fuzzing JavaScript engines. - Ming Wen 001; Yongcong Wang; Yifan Xia; Hai Jin 001 (Empir. Softw. Eng., 2023)

A Compilation Tool for Computation Offloading in ReRAM-based CIM Architectures. - Hai Jin 001; Bo Lei; Haikun Liu; Xiaofei Liao; Zhuohui Duan; Chencheng Ye 001; Yu Zhang 027 (ACM Trans. Archit. Code Optim., 2023)

RACE: An Efficient Redundancy-aware Accelerator for Dynamic Graph Neural Network. - Hui Yu; Yu Zhang 027; Jin Zhao 003; Yujian Liao; Zhiying Huang; Donghao He; Lin Gu 002; Hai Jin 001; Xiaofei Liao; Haikun Liu; Bingsheng He; Jianhui Yue (ACM Trans. Archit. Code Optim., 2023)

Accelerating Loop-Oriented RTL Simulation With Code Instrumentation. - Fubing Mao; Yapu Guo; Xiaofei Liao; Hai Jin 001; Wei Zhang 012; Haikun Liu; Long Zheng 003; Xu Liu; Zihan Jiang; Xiaohua Zheng (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains. - Junpei Ni; Jiang Xiao; Shijie Zhang; Bo Li 001; Baochun Li; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Temporal Heterogeneous Information Network Embedding via Semantic Evolution. - Wei Zhou; Hong Huang 001; Ruize Shi; Xiran Song; Xue Lin 005; Xiao Wang 017; Hai Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

InFit: Combination Movement Recognition for Intensive Fitness Assistant via Wi-Fi. - Huichuwu Li; Jiang Xiao; Wei Wang 050; Lu Wang 002; Dian Zhang 001; Hai Jin 001 (IEEE Trans. Mob. Comput., 2023)

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. - Wei Zhou; Hong Huang 001; Ruize Shi; Kehan Yin; Hai Jin 001 (AAAI, 2024)

Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. - Zhangqian Bi; Yao Wan 001; Zheng Wang 001; Hongyu Zhang 002; Batu Guan; Fangxin Lu; Zili Zhang; Yulei Sui; Hai Jin 001; Xuanhua Shi (ACL (Findings), 2024)

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. - Xiaohu Du; Ming Wen 001; Jiahao Zhu; Zifan Xie; Bin Ji 002; Huijun Liu 003; Xuanhua Shi; Hai Jin 001 (ACL (Findings), 2024)

Validating JVM Compilers via Maximizing Optimization Interactions. - Zifan Xie; Ming Wen 001; Shiyu Qiu; Hai Jin 001 (ASPLOS (4), 2024)

The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches. - Chuqi Zhang; Jun Zeng 006; Yiming Zhang 030; Adil Ahmad; Fengwei Zhang; Hai Jin 001; Zhenkai Liang (CCS, 2024)

Parallel Truss Maintenance Algorithms for Dynamic Hypergraphs. - Meng Wang; Qiang-Sheng Hua; Yefei Wang; Hai Jin 001; Zhiyuan Shao (COCOON (2), 2024)

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. - Zhenyu Qian; Yiming Qian; Yuting Song; Fei Gao; Hai Jin 001; Chen Yu 003; Xia Xie (LREC/COLING, 2024)

Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition. - Zhaobo Zhang; Rui Gan; Pingpeng Yuan; Hai Jin 001 (LREC/COLING, 2024)

Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Haoyan Huang; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems. - Zhuohui Duan; Zelin Yu; Haikun Liu; Xiaofei Liao; Hai Jin 001; Shijie Zheng; Sihan Wu (DAC, 2024)

SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication. - Haoqin Huang; Pengcheng Yao; Zhaozeng An; Yufei Sun; Ao Hu; Peng Xu 003; Long Zheng 003; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Haoqin Huang; Haoran Zhu; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001 (DAC, 2024)

CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Donghao He; Qikun Li; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Lin Gu 002; Haikun Liu (DAC, 2024)

RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. - Hui Yu; Yu Zhang 027; Andong Tan; Chenze Lu; Jin Zhao 003; Xiaofei Liao; Hai Jin 001; Haikun Liu (DAC, 2024)

Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis. - Hongfei Wang; Chenliang Luo; Deqing Zou; Hai Jin 001; Wenjie Cai (DATE, 2024)

Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications. - Yu Zhao; Wenjie Xue; Weijie Chen; Weizhong Qiang; Deqing Zou; Hai Jin 001 (DSN, 2024)

ReminISCence: Trusted Monitoring Against Privileged Preemption Side-Channel Attacks. - Weijie Chen; Yu Zhao; Yinqian Zhang; Weizhong Qiang; Deqing Zou; Hai Jin 001 (ESORICS (4), 2024)

ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. - Xianlong Wang 001; Shengshan Hu; Yechao Zhang; Ziqi Zhou 001; Leo Yu Zhang; Peng Xu 003; Wei Wan; Hai Jin 001 (ESORICS (1), 2024)

LSGraph: A Locality-centric High-performance Streaming Graph Engine. - Hao Qi 004; Yiyang Wu; Ligang He; Yu Zhang 027; Kang Luo; Minzhi Cai; Hai Jin 001; Zhan Zhang 003; Jin Zhao 003 (EuroSys, 2024)

MiCache: An MSHR-inclusive Non-blocking Cache Design for FPGAs. - Shaoxian Xu; Sitong Lu; Zhiyuan Shao; Xiaofei Liao; Hai Jin 001 (FPGA, 2024)

FlashGNN: An In-SSD Accelerator for GNN Training. - Fuping Niu; Jianhui Yue; Jiangqiu Shen; Xiaofei Liao; Hai Jin 001 (HPCA, 2024)

MISA: Unveiling the Vulnerabilities in Split Federated Learning. - Wei Wan; Yuxuan Ning; Shengshan Hu; Lulu Xue; Minghui Li; Leo Yu Zhang; Hai Jin 001 (ICASSP, 2024)

SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding. - Feng Cheng; Jiang Xiao; Cunyang Liu; Shijie Zhang; Yifan Zhou; Bo Li 001; Baochun Li; Hai Jin 001 (ICDE, 2024)

Fast Parallel Recovery for Transactional Stream Processing on Multicores. - Jianjun Zhao 003; Haikun Liu; Shuhao Zhang 001; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (ICDE, 2024)

MysticMask: Adversarial Mask for Impersonation Attack Against Face Recognition Systems. - Chaoxiang He; Yimiao Zeng; Xiaojing Ma 002; Bin Benjamin Zhu; Zewei Li; Shixin Li 001; Hai Jin 001 (ICME, 2024)

Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models. - Xiaofan Bai; Chaoxiang He; Xiaojing Ma 002; Bin Benjamin Zhu; Hai Jin 001 (ICML, 2024)

Rethinking Personalized Federated Learning from Knowledge Perspective. - Dezhong Yao 002; Ziquan Zhu; Tongtong Liu 006; Zhiqiang Xu 003; Hai Jin 001 (ICPP, 2024)

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. - Zhen Li 027; Ning Wang 098; Deqing Zou; Yating Li; Ruqian Zhang; Shouhuai Xu; Chao Zhang 008; Hai Jin 001 (ICSE, 2024)

Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection. - Siyue Feng; Wenqi Suo; Yueming Wu 001; Deqing Zou; Yang Liu 003; Hai Jin 001 (ICSE, 2024)

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. - Hua Zhu; Hong Huang 001; Kehan Yin; Zejun Fan; Hai Jin 001; Bang Liu (IJCAI, 2024)

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. - Bingqian Du; Jun Liu 002; Ziyue Luo; Chuan Wu 001; Qiankun Zhang; Hai Jin 001 (INFOCOM, 2024)

On Pipelined GCN with Communication-Efficient Sampling and Inclusion-Aware Caching. - Shulin Wang; Qiang Yu; Xiong Wang 006; Yuqing Li; Hai Jin 001 (INFOCOM, 2024)

Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. - Haifeng Liu 003; Long Zheng 003; Yu Huang 013; Jingyi Zhou; Chaoqiang Liu; Runze Wang; Xiaofei Liao; Hai Jin 001; Jingling Xue (ISCA, 2024)

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. - Zhaoyang Chu; Yao Wan 001; Qian Li 003; Yang Wu 010; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Hai Jin 001 (ISSTA, 2024)

Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. - Zeliang Yu; Ming Wen 001; Xiaochen Guo; Hai Jin 001 (ISSTA, 2024)

Towards Understanding the Effectiveness of Large Language Models on Directed Test Input Generation. - Zongze Jiang; Ming Wen 001; Jialun Cao; Xuanhua Shi; Hai Jin 001 (ASE, 2024)

Effective Vulnerable Function Identification based on CVE Description Empowered by Large Language Models. - Yulun Wu; Ming Wen 001; Zeliang Yu; Xiaochen Guo; Hai Jin 001 (ASE, 2024)

How Does Code Optimization Impact Third-party Library Detection for Android Applications? - Zifan Xie; Ming Wen 001; Tinghan Li; Yiding Zhu; Qinsheng Hou; Hai Jin 001 (ASE, 2024)

Unveiling the Characteristics and Impact of Security Patch Evolution. - Zifan Xie; Ming Wen 001; Zichao Wei; Hai Jin 001 (ASE, 2024)

Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification. - Ruize Shi; Hong Huang 001; Kehan Yin; Wei Zhou; Hai Jin 001 (KDD, 2024)

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. - Tongkun Su; Jun Li; Xi Zhang; Hai Jin 001; Hao Chen 011; Qiong Wang 001; Faqin Lv; Baoliang Zhao; Ying Hu 001 (MICCAI (4), 2024)

A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. - Qinggang Wang; Long Zheng 003; Zhaozeng An; Shuyi Xiong; Runze Wang; Yu Huang 013; Pengcheng Yao; Xiaofei Liao; Hai Jin 001; Jingling Xue (MICRO, 2024)

RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. - Hui Yu; Yu Zhang 027; Ligang He; Yingqi Zhao; Xintao Li; Ruida Xin; Jin Zhao 003; Xiaofei Liao; Haikun Liu; Bingsheng He; Hai Jin 001 (MICRO, 2024)

Towards Stricter Black-box Integrity Verification of Deep Neural Network Models. - Chaoxiang He; Xiaofan Bai; Xiaojing Ma 002; Bin B. Zhu; Pingyi Hu; Jiayun Fu; Hai Jin 001; Dongmei Zhang 001 (ACM Multimedia, 2024)

DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. - Chaoxiang He; Xiaojing Ma 002; Bin B. Zhu; Yimiao Zeng; Hanqing Hu; Xiaofan Bai; Hai Jin 001; Dongmei Zhang 001 (NDSS, 2024)

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections. - Zihan Luo 001; Hong Huang 001; Yongkang Zhou; Jiping Zhang; Nuo Chen; Hai Jin 001 (NeurIPS, 2024)

Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need. - Xianlong Wang 001; Minghui Li; Wei Liu 004; Hangtao Zhang; Shengshan Hu; Yechao Zhang; Ziqi Zhou 001; Hai Jin 001 (NeurIPS, 2024)

DarkSAM: Fooling Segment Anything Model to Segment Nothing. - Ziqi Zhou 001; Yufei Song; Minghui Li; Shengshan Hu; Xianlong Wang 001; Leo Yu Zhang; Dezhong Yao 002; Hai Jin 001 (NeurIPS, 2024)

MQTTactic: Security Analysis and Verification for Logic Flaws in MQTT Implementations. - Bin Yuan; Zhanxiang Song; Yan Jia; Zhenyu Lu; Deqing Zou; Hai Jin 001; Luyi Xing (SP, 2024)

Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. - Yechao Zhang; Shengshan Hu; Leo Yu Zhang; Junyu Shi; Minghui Li; Xiaogeng Liu; Wei Wan; Hai Jin 001 (SP, 2024)

Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. - Ziqi Zhou 001; Minghui Li; Wei Liu 004; Shengshan Hu; Yechao Zhang; Wei Wan; Lulu Xue; Leo Yu Zhang; Dezhong Yao 002; Hai Jin 001 (SP, 2024)

StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. - Hao Wu 010; Yue Yu; Junxiao Deng; Shadi Ibrahim; Song Wu 001; Hao Fan 006; Ziyue Cheng; Hai Jin 001 (USENIX ATC, 2024)

Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. - Bing Tian; Haikun Liu; Zhuohui Duan; Xiaofei Liao; Hai Jin 001; Yu Zhang 027 (USENIX ATC, 2024)

FIRE: Combining Multi-Stage Filtering with Taint Analysis for Scalable Recurring Vulnerability Detection. - Siyue Feng; Yueming Wu 001; Wenjie Xue; Sikui Pan; Deqing Zou; Yang Liu 003; Hai Jin 001 (USENIX Security Symposium, 2024)

Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. - Kang Chen; Ming Wen 001; Haoxiang Jia; Rongxin Wu; Hai Jin 001 (SANER, 2024)

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. - Yao Wan 001; Guanghua Wan; Shijie Zhang; Hongyu Zhang 002; Pan Zhou 001; Hai Jin 001; Lichao Sun 001 (CoRR, 2024)

KerasCV and KerasNLP: Vision and Language Power-Ups. - Matthew Watson; Divyashree Shivakumar Sreepathihalli; François Chollet; Martin Görner; Kiranbir Sodhia; Ramesh Sampath; Tirth Patel; Hai Jin 001; Neel Kovelamudi; Gabriel Rasskin; Samaneh Saadat; Luke Wood; et al. (CoRR, 2024)

No Free Lunch Theorem for Privacy-Preserving LLM Inference. - Xiaojin Zhang 002; Yulin Fei; Yan Kang 001; Wei Chen 088; Lixin Fan; Hai Jin 001; Qiang Yang 001 (CoRR, 2024)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation. - Mengfan Li; Xuanhua Shi; Chenqi Qiao; Teng Zhang 001; Hai Jin 001 (CoRR, 2024)

Enabling Complete Atomicity for Cross-chain Applications Through Layered State Commitments. - Yuandi Cai; Ru Cheng; Yifan Zhou; Shijie Zhang; Jiang Xiao; Hai Jin 001 (IACR Cryptol. ePrint Arch., 2024)

Ipotane: Achieving the Best of All Worlds in Asynchronous BFT. - Xiaohai Dai; Chaozheng Ding; Hai Jin 001; Julian Loss; Ling Ren 001 (IACR Cryptol. ePrint Arch., 2024)