| 2026 | AAAI | EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation. | Yonghao Dong, Qiang He, Penghong Rui, Zhenzhe Zheng, Zhao Li, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | ACL | Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark. | Zihan Luo, Hong Huang, Jianxun Lian, Yu Chang, Xing Xie, Hai Jin |
| 2026 | ASPLOS | CPU-Oblivious Offloading of Failure-Atomic Transactions for Disaggregated Memory. | Cheng Chen, Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Wenbin Jiang, Yan Solihin |
| 2026 | EACL | Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization. | Jiwei Guan, Hai Jin, Haohan Wang |
| 2026 | EuroSys | AEP: Achieving Hierarchical Fault Tolerance in DSM Through Atomic Execution Protection. | Zixuan Wang, Qi Wu, Hang Huang, Jia Rao, Hui Lu, Hao Fan, Zhuo Huang, Song Wu, Hai Jin |
| 2026 | EuroSys | Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach. | Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin |
| 2026 | EuroSys | Gopher: Efficient Dynamic Graph Pattern Mining via DAG-Driven Execution. | Yi Zhang, Yu Huang, Chaoqiang Liu, Haifeng Liu, Juntao Chen, Jingrui Yuan, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2026 | HPCA | Adaptive Draft Sequence Length: Enhancing Speculative Decoding Throughput on PIM-Enabled Systems. | Runze Wang, Qinggang Wang, Haifeng Liu, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2026 | ICDE | Grace: Alleviating Reconstruction Cost in Dynamic Graph Processing Systems. | Hongru Gao, Shuhao Zhang, Xiaofei Liao, Hai Jin |
| 2026 | ICDE | Astraea: Efficient Pipelined Micro-Batch Stream Processing with Non-Hash Differentiated Partitioning. | Sijie Wu, Hanhua Chen, Hai Jin, Haoran Cai |
| 2026 | INFOCOM | JiangZiya: Dependency-aware Smart Contract Migration for Scalable Sharded Blockchains. | Cunyang Liu, Jiang Xiao, Haoyu Dong, Ru Cheng, Yifan Zhou, Shijie Zhang, Hai Jin |
| 2026 | ISCA | Meridian: In-Memory Acceleration for RAG with Document Attention Decomposition. | Chaoqiang Liu, Yu Huang, Haifeng Liu, Yi Zhang, Qihang Qiu, Xueqi Li, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2026 | ISCA | ParetoES: Hardware-Accelerated Sparse Embedding Similarity via Pareto-Optimal Pruning. | Jiaqi Zhai, Xuanhua Shi, Wenju Zhao, Kaiyi Huang, Chencheng Ye, Shunsen Lv, Zhongtian Long, Bingsheng He, Hai Jin |
| 2026 | NDSS | Ipotane: Balancing the Good and Bad Cases of Asynchronous BFT. | Xiaohai Dai, Chaozheng Ding, Hai Jin, Julian Loss, Ling Ren |
| 2026 | NDSS | Icarus: Achieving Performant Asynchronous BFT with Only Optimistic Paths. | Xiaohai Dai, Yiming Yu, Sisi Duan, Rui Hao, Jiang Xiao, Hai Jin |
| 2026 | NDSS | Losing the Beat: Understanding and Mitigating Desynchronization Risks in Container Isolation. | Zhi Li, Zhen Xu, Weijie Liu, XiaoFeng Wang, Hai Jin, Zheli Liu |
| 2026 | NSDI | From Intention to Practice: Towards Systematic Validation of NIDS Rule Enforcement. | Huan Liu, Haoyu Chen, Biang Xu, Jingyao Zhou, Bin Yuan, Qiankun Zhang, Deqing Zou, Hai Jin |
| 2026 | PPoPP | DTMiner: A Data-Centric System for Efficient Temporal Motif Mining. | Yinbo Hou, Hao Qi, Ligang He, Jin Zhao, Yu Zhang, Hui Yu, Longlong Lin, Lin Gu, Wenbin Jiang, Xiaofei Liao, Hai Jin |
| 2026 | WWW | Thorki: Decoupling General and Personalized Knowledge with Collaborative Fusion for Personalized Federated Learning. | Qiang He, Rui Chen, Yicheng Liu, Sheng Zhong, Haipeng Dai, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | WWW | Glasses: Enabling Fast Environment-aware Few-Shot Learning via Device-Cloud Collaboration. | Qiang He, Sheng Zhong, Jiazhen Yang, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | WWW | StreamFP: Fingerprint-guided Data Selection for Efficient Stream Learning. | Changwu Li, Tongjun Shi, Shuhao Zhang, Binbin Chen, Bingsheng He, Xiaofei Liao, Hai Jin |
| 2026 | WWW | FedBridge: Accelerating Edge-Assisted Federated Learning for Model-Heterogeneous Clients. | Kaibin Wang, Qiang He, Zeqian Dong, Ziteng Wei, Caslon Chua, Feifei Chen, Hai Jin, Yun Yang |
| 2026 | WWW | FlowRAG: Continual Learning for Dynamic Retriever in Retrieval-Augmented Generation. | Senlei Zhang, Tongjun Shi, Dandan Song, Luan Zhang, Shuhao Zhang, Xiaofei Liao, Hai Jin |
| 2026 | SIGIR | SRAG: A Lightweight and Specialized Retrieval-augmented Generation System at the Edge. | Ruikun Luo, Zihan Xing, Lin Gu, Song Wu, Hai Jin, Xiaoyu Xia |
| 2025 | AAAI | NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors. | Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2025 | AAAI | Multi-Turn Jailbreaking Large Language Models via Attention Shifting. | Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi |
| 2025 | AAAI | NaFV-Net: An Adversarial Four-view Network for Mammogram Classification. | Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng, Wenxi Luo, Leqing Chen, Yuyang Cao, Xiaofei Liao, Yu Zhang, Fan Yang, Albert Y. Zomaya, Hai Jin |
| 2025 | ACL | Sign2Vis: Automated Data Visualization from Sign Language. | Yao Wan, Yang Wu, Zhen Li, Guobiao Zhang, Hongyu Zhang, Zhou Zhao, Hai Jin, April Yi Wang |
| 2025 | ASPLOS | TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU. | Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin |
| 2025 | COCOON | Massively Parallel Approximate Steiner Tree Algorithms. | Chilei Wang, Qiang-Sheng Hua, Hai Jin |
| 2025 | DAC | PairGraph: An Efficient Search-space-aware Accelerator for High-performance Concurrent Pairwise Queries. | Yutao Fu, Zhongtian Long, Yu Zhang, Zirui He, Jin Zhao, Qiyuan Niu, Zixiao Wang, Hai Jin |
| 2025 | DAC | SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search. | Chaoqiang Liu, Dan Chen, Yu Huang, Wenjing Xiao, Haifeng Liu, Yi Zhang, Huize Li, Xiaofei Liao, Hai Jin |
| 2025 | DAC | A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree. | Jin Zhao, Yu Zhang, Jun Huang, Weihang Yin, Hui Yu, Hao Qi, Zixiao Wang, Longlong Lin, Xiaofei Liao, Hai Jin |
| 2025 | EMNLP | Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation. | Jun Zhuang, Hai Jin, Ye Zhang, Zhengjian Kang, Wenbin Zhang, Gaby G. Dagher, Haohan Wang |
| 2025 | EuroSys | Hourglass: Enabling Efficient Split Federated Learning with Data Parallelism. | Qiang He, Kaibin Wang, Zeqian Dong, Liang Yuan, Feifei Chen, Hai Jin, Yun Yang |
| 2025 | EuroSys | OHMiner: An Overlap-centric System for Efficient Hypergraph Pattern Mining. | Hao Qi, Kang Luo, Ligang He, Yu Zhang, Minzhi Cai, Jingxin Dai, Bingsheng He, Hai Jin, Zhan Zhang, Jin Zhao, Hengshan Yue, Hui Yu, Xiaofei Liao |
| 2025 | EuroSys | MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. | Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2025 | FAST | AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage Cost KV-Separated LSM Store with SmartSSD-based GC Offloading. | Zhuohui Duan, Hao Feng, Haikun Liu, Xiaofei Liao, Hai Jin, Bangyu Li |
| 2025 | FAST | Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU Collaborative Filtering and Re-ranking. | Bing Tian, Haikun Liu, Yuhang Tang, Shihai Xiao, Zhuohui Duan, Xiaofei Liao, Hai Jin, Xuecang Zhang, Junhua Zhu, Yu Zhang |
| 2025 | HPCA | AccelES: Accelerating Top-K SpMV for Embedding Similarity via Low-bit Pruning. | Jiaqi Zhai, Xuanhua Shi, Kaiyi Huang, Chencheng Ye, Weifang Hu, Bingsheng He, Hai Jin |
| 2025 | HPCA | MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows. | Wenju Zhao, Pengcheng Yao, Dan Chen, Long Zheng, Xiaofei Liao, Qinggang Wang, Shaobo Ma, Yu Li, Haifeng Liu, Wenjing Xiao, Yufei Sun, Bing Zhu, Hai Jin, Jingling Xue |
| 2025 | ICCV | Rayzer: a Self-Supervised Large View Synthesis Model. | Hanwen Jiang, Hao Tan, Peng Wang, Hai Jin, Yue Zhao, Sai Bi, Kai Zhang, Fujun Luan, Kalyan Sunkavalli, Qixing Huang, Georgios Pavlakos |
| 2025 | ICDE | WAF: An Efficient WebAssembly-Based Execution Environment for User-Defined Functions. | Zhuo Huang, Hao Fan, Junhui Peng, Qi Wu, Song Wu, Chen Yu, Hai Jin, Qiming Liu, Wei Yang, Shuo Yu |
| 2025 | ICML | Dataflow-Guided Neuro-Symbolic Language Models for Type Inference. | Ge Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang |
| 2025 | ICML | CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale. | Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen |
| 2025 | ISCA | HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. | Chaoqiang Liu, Haifeng Liu, Dan Chen, Yu Huang, Yi Zhang, Wenjing Xiao, Xiaofei Liao, Hai Jin |
| 2025 | KDD | Towards Controllable Hybrid Fairness in Graph Neural Networks. | Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Hai Jin |
| 2025 | KDD | LaTCoder: Converting Webpage Design to Code with Layout-as-Thought. | Yi Gui, Zhen Li, Zhongyi Zhang, Guohao Wang, Tianpeng Lv, Gaoyang Jiang, Yi Liu, Dongping Chen, Yao Wan, Hongyu Zhang, Wenbin Jiang, Xuanhua Shi, Hai Jin |
| 2025 | KDD | Runtime-Aware Pipeline for Vertical Federated Learning with Bounded Model Staleness. | Xiong Wang, Yi Zhang, Yuxin Chen, Yuqing Li, Chuanhu Ma, Bo Li, Hai Jin |
| 2025 | NPC | An FPGA-Based Distributed Shared Memory Architecture Supporting CXL 2.0+ Specification. | Xiuhao Huang, Jinge Ding, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin |
| 2025 | NPC | Incremental Distributed Algorithms for Game-Theoretic Betweenness Centralities in Dynamic Graphs. | Yefei Wang, Qiang-Sheng Hua, Wenjie Gao, Hai Jin |
| 2025 | WWW | WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs. | Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Bohua Chen, Yi Su, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang |
| 2025 | SC | Bridging the Gap between Unstructured SpMM and Structured Sparse Tensor Cores. | Yukang Dong, Ziyuan Shen, Wenbin Jiang, Zhenghang Liu, Ye Xu, Bingyi He, Ran Zheng, Hai Jin |
| 2025 | SC | StraGCN: GPU-Accelerated Strassen's Sparse-Dense Matrix Multiplication for Graph Convolutional Network Training. | Weidong He, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Shuhao Zhang, Fubing Mao, Hai Jin |
| 2025 | SC | Diff-MoE: Efficient Batched MoE Inference with Priority-Driven Differential Expert Caching. | Kexin Li, Wenkan Huang, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2025 | SC | TaGNN: An Efficient Topology-aware Accelerator for High-performance Dynamic Graph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Bing Peng, Jin Zhao, Zixiao Wang, Hao Qi, Hai Jin |
| 2025 | USENIX | Towards High-Performance Transactional Stateful Serverless Workflows with Affinity-Aware Leasing. | Jianjun Zhao, Haikun Liu, Shuhao Zhang, Haodi Lu, Yancan Mao, Zhuohui Duan, Xiaofei Liao, Hai Jin |
| 2025 | USENIX | Fast Distributed Transactions for RDMA-based Disaggregated Memory. | Haodi Lu, Haikun Liu, Yujian Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2025 | USENIX | PopFetcher: Towards Accelerated Mixture-of-Experts Training Via Popularity Based Expert-Wise Prefetch. | Junyi Zhang, Chuanhu Ma, Xiong Wang, Yuntao Nie, Yuqing Li, Yuedong Xu, Xiaofei Liao, Bo Li, Hai Jin |
| 2025 | SANER | How to Select Pre-Trained Code Models for Reuse? A Learning Perspective. | Zhangqian Bi, Yao Wan, Zhaoyang Chu, Yufei Hu, Junyi Zhang, Hongyu Zhang, Guandong Xu, Hai Jin |
| 2024 | AAAI | An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs. | Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin |
| 2024 | ACL | Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. | Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi |
| 2024 | ACL | Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning. | Xiaohu Du, Ming Wen, Jiahao Zhu, Zifan Xie, Bin Ji, Huijun Liu, Xuanhua Shi, Hai Jin |
| 2024 | ASPLOS | Validating JVM Compilers via Maximizing Optimization Interactions. | Zifan Xie, Ming Wen, Shiyu Qiu, Hai Jin |
| 2024 | CCS | The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches. | Chuqi Zhang, Jun Zeng, Yiming Zhang, Adil Ahmad, Fengwei Zhang, Hai Jin, Zhenkai Liang |
| 2024 | COCOON | Parallel Truss Maintenance Algorithms for Dynamic Hypergraphs. | Meng Wang, Qiang-Sheng Hua, Yefei Wang, Hai Jin, Zhiyuan Shao |
| 2024 | COLING | Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. | Zhenyu Qian, Yiming Qian, Yuting Song, Fei Gao, Hai Jin, Chen Yu, Xia Xie |
| 2024 | COLING | Correcting Pronoun Homophones with Subtle Semantics in Chinese Speech Recognition. | Zhaobo Zhang, Rui Gan, Pingpeng Yuan, Hai Jin |
| 2024 | DAC | Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin |
| 2024 | DAC | TIGA: Towards Efficient Near Data Processing in SmartNICs-based Disaggregated Memory Systems. | Zhuohui Duan, Zelin Yu, Haikun Liu, Xiaofei Liao, Hai Jin, Shijie Zheng, Sihan Wu |
| 2024 | DAC | 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, Long Zheng, Xiaofei Liao, Hai Jin |
| 2024 | DAC | High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. | Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin |
| 2024 | DAC | CDA-GNN: A Chain-driven Accelerator for Efficient Asynchronous Graph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Donghao He, Qikun Li, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu |
| 2024 | DAC | RTGA: A Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference. | Hui Yu, Yu Zhang, Andong Tan, Chenze Lu, Jin Zhao, Xiaofei Liao, Hai Jin, Haikun Liu |
| 2024 | DATE | Gradient Boosting-Accelerated Evolution for Multiple-Fault Diagnosis. | Hongfei Wang, Chenliang Luo, Deqing Zou, Hai Jin, Wenjie Cai |
| 2024 | DSN | Owl: Differential-Based Side-Channel Leakage Detection for CUDA Applications. | Yu Zhao, Wenjie Xue, Weijie Chen, Weizhong Qiang, Deqing Zou, Hai Jin |
| 2024 | ESORICS | ReminISCence: Trusted Monitoring Against Privileged Preemption Side-Channel Attacks. | Weijie Chen, Yu Zhao, Yinqian Zhang, Weizhong Qiang, Deqing Zou, Hai Jin |
| 2024 | ESORICS | ECLIPSE: Expunging Clean-Label Indiscriminate Poisons via Sparse Diffusion Purification. | Xianlong Wang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Leo Yu Zhang, Peng Xu, Wei Wan, Hai Jin |
| 2024 | EuroSys | LSGraph: A Locality-centric High-performance Streaming Graph Engine. | Hao Qi, Yiyang Wu, Ligang He, Yu Zhang, Kang Luo, Minzhi Cai, Hai Jin, Zhan Zhang, Jin Zhao |
| 2024 | FPGA | MiCache: An MSHR-inclusive Non-blocking Cache Design for FPGAs. | Shaoxian Xu, Sitong Lu, Zhiyuan Shao, Xiaofei Liao, Hai Jin |
| 2024 | GPC | Accelerating Large-Scale GNN by Combining k-Hop Neighbors Based Feature Caching and Hierarchical GPU-Centric Data Access. | Wenbin Jiang, Fanxing Pan, Rui Wu, Xinhai Shen, Dongao He, Hai Jin |
| 2024 | HPCA | FlashGNN: An In-SSD Accelerator for GNN Training. | Fuping Niu, Jianhui Yue, Jiangqiu Shen, Xiaofei Liao, Hai Jin |
| 2024 | ICASSP | MISA: Unveiling the Vulnerabilities in Split Federated Learning. | Wei Wan, Yuxuan Ning, Shengshan Hu, Lulu Xue, Minghui Li, Leo Yu Zhang, Hai Jin |
| 2024 | ICDE | SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding. | Feng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang, Yifan Zhou, Bo Li, Baochun Li, Hai Jin |
| 2024 | ICDE | Fast Parallel Recovery for Transactional Stream Processing on Multicores. | Jianjun Zhao, Haikun Liu, Shuhao Zhang, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2024 | ICML | Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models. | Xiaofan Bai, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin |
| 2024 | ICPP | Rethinking Personalized Federated Learning from Knowledge Perspective. | Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin |
| 2024 | IJCAI | CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. | Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu |
| 2024 | INFOCOM | Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. | Bingqian Du, Jun Liu, Ziyue Luo, Chuan Wu, Qiankun Zhang, Hai Jin |
| 2024 | INFOCOM | On Pipelined GCN with Communication-Efficient Sampling and Inclusion-Aware Caching. | Shulin Wang, Qiang Yu, Xiong Wang, Yuqing Li, Hai Jin |
| 2024 | ISCA | Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2024 | ICSE | On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities. | Zhen Li, Ning Wang, Deqing Zou, Yating Li, Ruqian Zhang, Shouhuai Xu, Chao Zhang, Hai Jin |
| 2024 | ICSE | Machine Learning is All You Need: A Simple Token-based Approach for Effective Code Clone Detection. | Siyue Feng, Wenqi Suo, Yueming Wu, Deqing Zou, Yang Liu, Hai Jin |
| 2024 | ISSTA | Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. | Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin |
| 2024 | ISSTA | Maltracker: A Fine-Grained NPM Malware Tracker Copiloted by LLM-Enhanced Dataset. | Zeliang Yu, Ming Wen, Xiaochen Guo, Hai Jin |
| 2024 | KDD | Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification. | Ruize Shi, Hong Huang, Kehan Yin, Wei Zhou, Hai Jin |
| 2024 | MICCAI | Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. | Tongkun Su, Jun Li, Xi Zhang, Hai Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Ying Hu |
| 2024 | MICRO | A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. | Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2024 | MICRO | RAHP: A Redundancy-aware Accelerator for High-performance Hypergraph Neural Network. | Hui Yu, Yu Zhang, Ligang He, Yingqi Zhao, Xintao Li, Ruida Xin, Jin Zhao, Xiaofei Liao, Haikun Liu, Bingsheng He, Hai Jin |
| 2024 | NDSS | DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. | Chaoxiang He, Xiaojing Ma, Bin B. Zhu, Yimiao Zeng, Hanqing Hu, Xiaofan Bai, Hai Jin, Dongmei Zhang |
| 2024 | SP | MQTTactic: Security Analysis and Verification for Logic Flaws in MQTT Implementations. | Bin Yuan, Zhanxiang Song, Yan Jia, Zhenyu Lu, Deqing Zou, Hai Jin, Luyi Xing |
| 2024 | SP | 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 |
| 2024 | SP | Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples. | Ziqi Zhou, Minghui Li, Wei Liu, Shengshan Hu, Yechao Zhang, Wei Wan, Lulu Xue, Leo Yu Zhang, Dezhong Yao, Hai Jin |
| 2024 | USENIX | StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. | Hao Wu, Yue Yu, Junxiao Deng, Shadi Ibrahim, Song Wu, Hao Fan, Ziyue Cheng, Hai Jin |
| 2024 | USENIX | Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs. | Bing Tian, Haikun Liu, Zhuohui Duan, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2024 | SRDS | Enabling Complete Atomicity for Cross-Chain Applications Through Layered State Commitments. | Yuandi Cai, Ru Cheng, Yifan Zhou, Shijie Zhang, Jiang Xiao, Hai Jin |
| 2023 | AAAI | A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning. | Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun, Yuwei Zhang, Yufei Ren, Xiaofei Liao, Hai Jin, Ailin Luo, Albert Y. Zomaya |
| 2023 | AAAI | AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract). | Haoyang Chen, Shuai Liu, Feng Lu, Wei Li, Bin Sheng, Mi Li, Hai Jin, Albert Y. Zomaya |
| 2023 | AAAI | PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. | Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun |
| 2023 | AAAI | ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract). | Yifei Sun, Cheng Song, Feng Lu, Wei Li, Hai Jin, Albert Y. Zomaya |
| 2023 | ASPLOS | Revisiting Log-Structured Merging for KV Stores in Hybrid Memory Systems. | Zhuohui Duan, Jiabo Yao, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2023 | ASPLOS | GZKP: A GPU Accelerated Zero-Knowledge Proof System. | Weiliang Ma, Qian Xiong, Xuanhua Shi, Xiaosong Ma, Hai Jin, Haozhao Kuang, Mingyu Gao, Ye Zhang, Haichen Shen, Weifang Hu |
| 2023 | ASPLOS | SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. | Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2023 | CCS | ParBFT: Faster Asynchronous BFT Consensus with a Parallel Optimistic Path. | Xiaohai Dai, Bolin Zhang, Hai Jin, Ling Ren |
| 2023 | CCS | Lost along the Way: Understanding and Mitigating Path-Misresolution Threats to Container Isolation. | Zhi Li, Weijie Liu, XiaoFeng Wang, Bin Yuan, Hongliang Tian, Hai Jin, Shoumeng Yan |
| 2023 | CVPR | Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency. | Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao |
| 2023 | DAC | MeG | Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin |
| 2023 | DAC | ACGraph: Accelerating Streaming Graph Processing via Dependence Hierarchy. | Zihan Jiang, Fubing Mao, Yapu Guo, Xu Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Wei Zhang |
| 2023 | DAC | PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining. | Hao Qi, Yu Zhang, Ligang He, Kang Luo, Jun Huang, Haoyu Lu, Jin Zhao, Hai Jin |
| 2023 | DAC | SaGraph: A Similarity-aware Hardware Accelerator for Temporal Graph Processing. | Jin Zhao, Yu Zhang, Jian Cheng, Yiyang Wu, Chuyue Ye, Hui Yu, Zhiying Huang, Hai Jin, Xiaofei Liao, Lin Gu, Haikun Liu |
| 2023 | DASFAA | 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 |
| 2023 | DSN | JSRevealer: A Robust Malicious JavaScript Detector against Obfuscation. | Kunlun Ren, Weizhong Qiang, Yueming Wu, Yi Zhou, Deqing Zou, Hai Jin |
| 2023 | EMNLP | SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. | Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi |
| 2023 | ESORICS | You Reset I Attack! A Master Password Guessing Attack Against Honey Password Vaults. | Tingting Rao, Yixin Su, Peng Xu, Yubo Zheng, Wei Wang, Hai Jin |
| 2023 | ESORICS | Secure Outsourced Matrix Multiplication with Fully Homomorphic Encryption. | Lin Zhu, Qiang-Sheng Hua, Yi Chen, Hai Jin |
| 2023 | FPGA | FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. | Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin |
| 2023 | GPC | FedRKG: A Privacy-Preserving Federated Recommendation Framework via Knowledge Graph Enhancement. | Dezhong Yao, Tongtong Liu, Qi Cao, Hai Jin |
| 2023 | HPCA | Reconciling Selective Logging and Hardware Persistent Memory Transaction. | Chencheng Ye, Yuanchao Xu, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2023 | ICCV | Downstream-agnostic Adversarial Examples. | Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin |
| 2023 | ICDCS | GeckoDAG: Towards a Lightweight DAG-Based Blockchain via Reducing Data Redundancy. | Xiaohai Dai, Yifan Zhou, Jiang Xiao, Feng Cheng, Xia Xie, Hai Jin, Bo Li |
| 2023 | ICDE | AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. | Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2023 | ICDE | RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2023 | IJCAI | Incremental and Decremental Optimal Margin Distribution Learning. | Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2023 | IJCAI | Scalable Optimal Margin Distribution Machine. | Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2023 | INFOCOM | LOPO: An Out-of-order Layer Pulling Orchestration Strategy for Fast Microservice Startup. | Lin Gu, Junhao Huang, Shaoxing Huang, Deze Zeng, Bo Li, Hai Jin |
| 2023 | INFOCOM | FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection. | Xiong Wang, Yuxin Chen, Yuqing Li, Xiaofei Liao, Hai Jin, Bo Li |
| 2023 | ISCA | MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing. | Dan Chen, Haiheng He, Hai Jin, Long Zheng, Yu Huang, Xinyang Shen, Xiaofei Liao |
| 2023 | ISCA | Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2023 | ICSE | Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. | Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin |
| 2023 | ICSE | Validating SMT Solvers via Skeleton Enumeration Empowered by Historical Bug-Triggering Inputs. | Maolin Sun, Yibiao Yang, Ming Wen, Yongcong Wang, Yuming Zhou, Hai Jin |
| 2023 | ICSE | Understanding the Threats of Upstream Vulnerabilities to Downstream Projects in the Maven Ecosystem. | Yulun Wu, Zeliang Yu, Ming Wen, Qiang Li, Deqing Zou, Hai Jin |
| 2023 | ICSE | Enhancing Deep Learning-based Vulnerability Detection by Building Behavior Graph Model. | Bin Yuan, Yifan Lu, Yilin Fang, Yueming Wu, Deqing Zou, Zhen Li, Zhi Li, Hai Jin |
| 2023 | ISSTA | Interpreters for GNN-Based Vulnerability Detection: Are We There Yet? | Yutao Hu, Suyuan Wang, Wenke Li, Junru Peng, Yueming Wu, Deqing Zou, Hai Jin |
| 2023 | ISSTA | Fine-Grained Code Clone Detection with Block-Based Splitting of Abstract Syntax Tree. | Tiancheng Hu, Zijing Xu, Yilin Fang, Yueming Wu, Bin Yuan, Deqing Zou, Hai Jin |
| 2023 | ISSTA | An Empirical Study on the Effects of Obfuscation on Static Machine Learning-Based Malicious JavaScript Detectors. | Kunlun Ren, Weizhong Qiang, Yueming Wu, Yi Zhou, Deqing Zou, Hai Jin |
| 2023 | ISSTA | Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. | Zifan Xie, Ming Wen, Haoxiang Jia, Xiaochen Guo, Xiaotong Huang, Deqing Zou, Hai Jin |
| 2023 | KDD | Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks. | Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin |
| 2023 | NDSS | The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption. | Tianyang Chen, Peng Xu, Stjepan Picek, Bo Luo, Willy Susilo, Hai Jin, Kaitai Liang |
| 2023 | NDSS | Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart Split-Learning Hijacking Attacks Using Intrinsic Attributes. | Jiayun Fu, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Ruixin Zhao, Yaru Jia, Peng Xu, Hai Jin, Dongmei Zhang |
| 2023 | WWW | EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence. | Zeqian Dong, Qiang He, Feifei Chen, Hai Jin, Tao Gu, Yun Yang |
| 2023 | WWW | xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. | Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin |
| 2023 | WWW | FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. | Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang |
| 2023 | WWW | FedEdge: Accelerating Edge-Assisted Federated Learning. | Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang |
| 2023 | WWW | PipeEdge: A Trusted Pipelining Collaborative Edge Training based on Blockchain. | Liang Yuan, Qiang He, Feifei Chen, Ruihan Dou, Hai Jin, Yun Yang |
| 2023 | SIGIR | EDIndex: Enabling Fast Data Queries in Edge Storage Systems. | Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang |
| 2023 | USENIX | Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow. | Chuangyi Gui, Xiaofei Liao, Long Zheng, Hai Jin |
| 2023 | SRDS | GradedDAG: An Asynchronous DAG-based BFT Consensus with Lower Latency. | Xiaohai Dai, Zhaonan Zhang, Jiang Xiao, Jingtao Yue, Xia Xie, Hai Jin |
| 2022 | ACSAC | Trebiz: Byzantine Fault Tolerance with Byzantine Merchants. | Xiaohai Dai, Liping Huang, Jiang Xiao, Zhaonan Zhang, Xia Xie, Hai Jin |
| 2022 | ACSAC | StateDiver: Testing Deep Packet Inspection Systems with State-Discrepancy Guidance. | Zhechang Zhang, Bin Yuan, Kehan Yang, Deqing Zou, Hai Jin |
| 2022 | CIKM | DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. | Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin |
| 2022 | CIKM | Learning Chinese Word Embeddings By Discovering Inherent Semantic Relevance in Sub-characters. | Wei Lu, Zhaobo Zhang, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua |
| 2022 | COLING | OpticE: A Coherence Theory-Based Model for Link Prediction. | Xiangyu Gui, Feng Zhao, Langjunqing Jin, Hai Jin |
| 2022 | CVPR | Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. | Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu |
| 2022 | DAC | CLIMBER: defending phase change memory against inconsistent write attacks. | Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao |
| 2022 | DAC | ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory. | Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, Chuangyi Gui |
| 2022 | DAC | ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. | Cong Liu, Haikun Liu, Hai Jin, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li |
| 2022 | DASFAA | LeKAN: Extracting Long-tail Relations via Layer-Enhanced Knowledge-Aggregation Networks. | Xiaokai Liu, Feng Zhao, Xiangyu Gui, Hai Jin |
| 2022 | DASFAA | ExKGR: Explainable Multi-hop Reasoning for Evolving Knowledge Graph. | Cheng Yan, Feng Zhao, Hai Jin |
| 2022 | DASFAA | Significant Engagement Community Search on Temporal Networks. | Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin |
| 2022 | EMNLP | Can Language Models Serve as Temporal Knowledge Bases? | Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin |
| 2022 | ESORICS | DEKS: A Secure Cloud-Based Searchable Service Can Make Attackers Pay. | Yubo Zheng, Peng Xu, Wei Wang, Tianyang Chen, Willy Susilo, Kaitai Liang, Hai Jin |
| 2022 | HPCA | Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. | Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2022 | HPCA | Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. | Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin |
| 2022 | HPCA | ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. | Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2022 | HPCC | Message from the High Performance Computing and Communications 2022 General Chairs. | Jack J. Dongarra, Kenli Li, Hai Jin |
| 2022 | ICA3PP | Efficient Remote Memory Paging for Disaggregated Memory Systems. | Tao Wang, Haikun Liu, Hai Jin |
| 2022 | ICA3PP | An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy. | Ran Zheng, Yingxin Jiang, Yibo Wang, Yongbo Su, Long Zheng, Pengcheng Yao, Xiaofei Liao, Hai Jin |
| 2022 | ICDCS | Scube: Efficient Summarization for Skewed Graph Streams. | Ming Chen, Renxiang Zhou, Hanhua Chen, Hai Jin |
| 2022 | ICDCS | Nezha: Exploiting Concurrency for Transaction Processing in DAG-based Blockchains. | Jiang Xiao, Shijie Zhang, Zhiwei Zhang, Bo Li, Xiaohai Dai, Hai Jin |
| 2022 | ICDE | Horae: A Graph Stream Summarization Structure for Efficient Temporal Range Query. | Ming Chen, Renxiang Zhou, Hanhua Chen, Jiang Xiao, Hai Jin, Bo Li |
| 2022 | ICDM | Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. | Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin |
| 2022 | IJCAI | Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution. | Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin |
| 2022 | IJCAI | Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection. | Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He |
| 2022 | INFOCOM | Layer-aware Collaborative Microservice Deployment toward Maximal Edge Throughput. | Lin Gu, Zirui Chen, Honghao Xu, Deze Zeng, Bo Li, Hai Jin |
| 2022 | ISCA | TDGraph: a topology-driven accelerator for high-performance streaming graph processing. | Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu |
| 2022 | ICS | Towards low-latency I/O services for mixed workloads using ultra-low latency SSDs. | Mingzhe Liu, Haikun Liu, Chencheng Ye, Xiaofei Liao, Hai Jin, Yu Zhang, Ran Zheng, Liting Hu |
| 2022 | ICSE | NaturalCC: An Open-Source Toolkit for Code Intelligence. | Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu |
| 2022 | ICSE | What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. | Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin |
| 2022 | ICSE | VulCNN: An Image-inspired Scalable Vulnerability Detection System. | Yueming Wu, Deqing Zou, Shihan Dou, Wei Yang, Duo Xu, Hai Jin |
| 2022 | ITC | Modeling Challenge Covariances and Design Dependency for Efficient Attacks on Strong PUFs. | Hongfei Wang, Wei Liu, Hai Jin, Yu Chen, Wenjie Cai |
| 2022 | IWQoS | Nearly Optimal Protocols for Computing Multi-party Private Set Union. | Xuhui Gong, Qiang-Sheng Hua, Hai Jin |
| 2022 | KDD | Friend Recommendations with Self-Rescaling Graph Neural Networks. | Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie |
| 2022 | MASCOTS | Design and Simulation of Multi-tiered Heterogeneous Memory Architecture. | Jinyuan Hu, Haikun Liu, Hai Jin, Xiaofei Liao |
| 2022 | MICRO | A Data-Centric Accelerator for High-Performance Hypergraph Processing. | Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2022 | NPC | CCSBD: A Cost Control System Based on Blockchain and DRG Mechanism. | Weiqi Dai, Yan Yu, Xia Xie, Dezhong Yao, Hai Jin |
| 2022 | SC | GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow. | Dan Chen, Chuangyi Gui, Yi Zhang, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao |
| 2022 | SIGMOD | Entity Resolution with Hierarchical Graph Attention Networks. | Dezhong Yao, Yuhong Gu, Gao Cong, Hai Jin, Xinqiao Lv |
| 2022 | TrustCom | Diabetes Mellitus Type 2 Data Sharing System Based on Blockchain and Attribute-Encryption. | Weiqi Dai, Zhenhui Lu, Xia Xie, Duoqiang Wang, Hai Jin |
| 2022 | TrustCom | Shared Incentive System for Clinical Pathway Experience. | Weiqi Dai, Wenhao Zhao, Xia Xie, Song Wu, Hai Jin |
| 2022 | SP | Robbery on DevOps: Understanding and Mitigating Illicit Cryptomining on Continuous Integration Service Platforms. | Zhi Li, Weijie Liu, Hongbo Chen, XiaoFeng Wang, Xiaojing Liao, Luyi Xing, Mingming Zha, Hai Jin, Deqing Zou |
| 2022 | WSDM | Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. | Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie |
| 2022 | WSDM | Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. | Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie |
| 2022 | SDM | Entropy Weight Allocation: Positive-unlabeled Learning via Optimal Transport. | Wen Gu, Teng Zhang, Hai Jin |
| 2022 | VEE | Container-aware I/O stack: bridging the gap between container storage drivers and solid state devices. | Song Wu, Zhuo Huang, Pengfei Chen, Hao Fan, Shadi Ibrahim, Hai Jin |
| 2021 | ACL | Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. | Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin |
| 2021 | CCGRID | Straggler-Aware Parallel Graph Processing in Hybrid Memory Systems. | Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2021 | CCS | Feature-Indistinguishable Attack to Circumvent Trapdoor-Enabled Defense. | Chaoxiang He, Bin Benjamin Zhu, Xiaojing Ma, Hai Jin, Shengshan Hu |
| 2021 | CCS | Who's In Control? On Security Risks of Disjointed IoT Device Management Channels. | Yan Jia, Bin Yuan, Luyi Xing, Dongfang Zhao, Yifan Zhang, XiaoFeng Wang, Yijing Liu, Kaimin Zheng, Peyton Crnjak, Yuqing Zhang, Deqing Zou, Hai Jin |
| 2021 | CLUSTER | HNGraph: Parallel Graph Processing in Hybrid Memory Based NUMA Systems. | Wei Liu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2021 | CSCWD | Grace: An Efficient Parallel SPARQL Query System over Large-Scale RDF Data. | Xiang Kang, Yuying Zhao, Pingpeng Yuan, Hai Jin |
| 2021 | ESORICS | Bestie: Very Practical Searchable Encryption with Forward and Backward Security. | Tianyang Chen, Peng Xu, Wei Wang, Yubo Zheng, Willy Susilo, Hai Jin |
| 2021 | FPGA | ScalaBFS: A Scalable BFS Accelerator on FPGA-HBM Platform. | Chenhao Liu, Zhiyuan Shao, Kexin Li, Minkang Wu, Jiajie Chen, Ruoshi Li, Xiaofei Liao, Hai Jin |
| 2021 | FPGA | GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. | Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao |
| 2021 | HPCA | DepGraph: A Dependency-Driven Accelerator for Efficient Iterative Graph Processing. | Yu Zhang, Xiaofei Liao, Hai Jin, Ligang He, Bingsheng He, Haikun Liu, Lin Gu |
| 2021 | HPCA | Hardware-Based Address-Centric Acceleration of Key-Value Store. | Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2021 | HPCC | Cooperative Relationship Prediction between Scholars in Heterogeneous Academic Network. | Jia Shi, Hai Jin, Xia Xie |
| 2021 | HPCC | PipePrune: Pipeline Parallel Based on Convolutional Layer Pruning for Distributed Deep Learning. | Daojun Tan, Wenbin Jiang, Shang Qin, Hai Jin |
| 2021 | HPCC | A Hybrid Model Combined with SVM and CNN for Community Content Classification. | Yukui Ye, Xia Xie, Hai Jin, Duoqiang Wang |
| 2021 | HPCC | Efficient Hardware Redo Logging for Secure Persistent Memory. | Zhan Zhang, Jianhui Yue, Xiaofei Liao, Hai Jin |
| 2021 | HPDC | Towards Exploiting CPU Elasticity via Efficient Thread Oversubscription. | Hang Huang, Jia Rao, Song Wu, Hai Jin, Hong Jiang, Hao Che, Xiaofeng Wu |
| 2021 | ICDCS | Gengar: An RDMA-based Distributed Hybrid Memory Pool. | Zhuohui Duan, Haikun Liu, Haodi Lu, Xiaofei Liao, Hai Jin, Yu Zhang, Bingsheng He |
| 2021 | ICDCS | Gear: Enable Efficient Container Storage and Deployment with a New Image Format. | Hao Fan, Shengwei Bian, Song Wu, Song Jiang, Shadi Ibrahim, Hai Jin |
| 2021 | ICDE | The Logarithmic Dynamic Cuckoo Filter. | Fan Zhang, Hanhua Chen, Hai Jin, Pedro Reviriego |
| 2021 | ICPP | Efficient Complete Event Trend Detection over High-Velocity Streams. | Huiyao Mei, Hanhua Chen, Hai Jin, Qiang-Sheng Hua, Bing Bing Zhou |
| 2021 | ICPP | Communication Avoiding All-Pairs Shortest Paths Algorithm for Sparse Graphs. | Lin Zhu, Qiang-Sheng Hua, Hai Jin |
| 2021 | IJCAI | Partial Multi-Label Optimal Margin Distribution Machine. | Nan Cao, Teng Zhang, Hai Jin |
| 2021 | IJCAI | Temporal Heterogeneous Information Network Embedding. | Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu |
| 2021 | INFOCOM | Layer Aware Microservice Placement and Request Scheduling at the Edge. | Lin Gu, Deze Zeng, Jie Hu, Bo Li, Hai Jin |
| 2021 | INFOCOM | Exploring Layered Container Structure for Cost Efficient Microservice Deployment. | Lin Gu, Deze Zeng, Jie Hu, Hai Jin, Song Guo, Albert Y. Zomaya |
| 2021 | ISCA | Supporting Legacy Libraries on Non-Volatile Memory: A User-Transparent Approach. | Chencheng Ye, Yuanchao Xu, Xipeng Shen, Xiaofei Liao, Hai Jin, Yan Solihin |
| 2021 | ICSOC | Graph-Based Data Deduplication in Mobile Edge Computing Environment. | Ruikun Luo, Hai Jin, Qiang He, Song Wu, Zilai Zeng, Xiaoyu Xia |
| 2021 | ISSTA | HomDroid: detecting Android covert malware by social-network homophily analysis. | Yueming Wu, Deqing Zou, Wei Yang, Xiang Li, Hai Jin |
| 2021 | IWQoS | Eunomia: Efficiently Eliminating Abnormal Results in Distributed Stream Join Systems. | Jie Yuan, Yonghui Wang, Hanhua Chen, Hai Jin, Haikun Liu |
| 2021 | WWW | CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing. | Liang Yuan, Qiang He, Siyu Tan, Bo Li, Jiangshan Yu, Feifei Chen, Hai Jin, Yun Yang |
| 2021 | SC | LCCG: a locality-centric hardware accelerator for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu |
| 2021 | SC | Hardware-supported remote persistence for distributed persistent memory. | Zhuohui Duan, Haodi Lu, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Song Wu |
| 2021 | SC | Whale: efficient one-to-many data partitioning in RDMA-assisted distributed stream processing systems. | Jie Tan, Hanhua Chen, Yonghui Wang, Hai Jin |
| 2021 | SIGMOD | Milvus: A Purpose-Built Vector Data Management System. | Jianguo Wang, Xiaomeng Yi, Rentong Guo, Hai Jin, Peng Xu, Shengjun Li, Xiangyu Wang, Xiangzhou Guo, Chengming Li, Xiaohai Xu, Kun Yu, Yuxing Yuan, Yinghao Zou, Jiquan Long, Yudong Cai, Zhenxiang Li, Zhifeng Zhang, Yihua Mo, Jun Gu, Ruiyi Jiang, Yi Wei, Charles Xie |
| 2021 | TrustCom | Automatically derived stateful network functions including non-field attributes. | Bin Yuan, Shengyao Sun, Xianjun Deng, Deqing Zou, Haoyu Chen, Shenghui Li, Hai Jin |
| 2021 | SERVICES | Constrained App Data Caching over Edge Server Graphs in Edge Computing Environment. | Xiaoyu Xia, Feifei Chen, John C. Grundy, Mohamed Abdelrazek, Hai Jin, Qiang He |
| 2021 | SRDS | Vassago: Efficient and Authenticated Provenance Query on Multiple Blockchains. | Rui Han, Jiang Xiao, Xiaohai Dai, Shijie Zhang, Yi Sun, Baochun Li, Hai Jin |
| 2021 | TASE | Research and Practice of Container System. | Hai Jin |
| 2020 | AAAI | Optimal Margin Distribution Learning in Dynamic Environments. | Teng Zhang, Peng Zhao, Hai Jin |
| 2020 | APWEB | Hylo: Hybrid Layer-Based Optimization to Reduce Communication in Distributed Deep Learning. | Wenbin Jiang, Jing Peng, Pai Liu, Hai Jin |
| 2020 | APWEB | EPUR: An Efficient Parallel Update System over Large-Scale RDF Data. | Xiang Kang, Pingpeng Yuan, Hai Jin |
| 2020 | ASPLOS | Capuchin: Tensor-based GPU Memory Management for Deep Learning. | Xuan Peng, Xuanhua Shi, Hulin Dai, Hai Jin, Weiliang Ma, Qian Xiong, Fan Yang, Xuehai Qian |
| 2020 | ASPLOS | Klotski: Efficient Obfuscated Execution against Controlled-Channel Attacks. | Pan Zhang, Chengyu Song, Heng Yin, Deqing Zou, Elaine Shi, Hai Jin |
| 2020 | CCGRID | Robustness-oriented k Edge Server Placement. | Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Hai Jin, Yun Yang |
| 2020 | CLOUD | ByteSeries: an in-memory time series database for large-scale monitoring systems. | Xuanhua Shi, Zezhao Feng, Kaixi Li, Yongluan Zhou, Hai Jin, Yan Jiang, Bingsheng He, Zhijun Ling, Xin Li |
| 2020 | DASFAA | Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. | Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin |
| 2020 | DATE | Efficient Hardware-Assisted Crash Consistency in Encrypted Persistent Memory. | Zhan Zhang, Jianhui Yue, Xiaofei Liao, Hai Jin |
| 2020 | GPC | An Efficient Data Prefetch Strategy for Deep Learning Based on Non-volatile Memory. | Wenbin Jiang, Pai Liu, Hai Jin, Jing Peng |
| 2020 | GPC | GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning. | Bo Liu, Wenbin Jiang, Shaofeng Zhao, Hai Jin, Bingsheng He |
| 2020 | GPC | BED: A Block-Level Deduplication-Based Container Deployment Framework. | Shiqiang Zhang, Song Wu, Hao Fan, Deqing Zou, Hai Jin |
| 2020 | ICDCS | LVQ: A Lightweight Verifiable Query Approach for Transaction History in Bitcoin. | Xiaohai Dai, Jiang Xiao, Wenhui Yang, Chaofan Wang, Jian Chang, Rui Han, Hai Jin |
| 2020 | ICDE | Maxson: Reduce Duplicate Parsing Overhead on Raw Data. | Xuanhua Shi, Yipeng Zhang, Hong Huang, Zhenyu Hu, Hai Jin, Huan Shen, Yongluan Zhou, Bingsheng He, Ruibo Li, Keyong Zhou |
| 2020 | IJCAI | Motif-Preserving Temporal Network Embedding. | Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin |
| 2020 | IJCAI | Optimal Margin Distribution Machine for Multi-Instance Learning. | Teng Zhang, Hai Jin |
| 2020 | ICWS | Budgeted Data Caching based on k-Median in Mobile Edge Computing. | Xiaoyu Xia, Feifei Chen, Guangming Cui, Mohamed Almorsy Abdelrazek, John Grundy, Hai Jin, Qiang He |
| 2020 | IWQoS | Towards Lightweight Serverless Computing via Unikernel as a Function. | Bo Tan, Haikun Liu, Jia Rao, Xiaofei Liao, Hai Jin, Yu Zhang |
| 2020 | KSEM | Information Diffusion Prediction with Personalized Graph Neural Networks. | Yao Wu, Hong Huang, Hai Jin |
| 2020 | MICRO | A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. | Pengcheng Yao, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2020 | NPC | The Entry-Extensible Cuckoo Filter. | Shuiying Yu, Sijie Wu, Hanhua Chen, Hai Jin |
| 2020 | SIGMOD | Pensieve: Skewness-Aware Version Switching for Efficient Graph Processing. | Tangwei Ying, Hanhua Chen, Hai Jin |
| 2020 | USENIX | Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling. | Long Zheng, Xianliang Li, Yaohui Zheng, Yu Huang, Xiaofei Liao, Hai Jin, Jingling Xue, Zhiyuan Shao, Qiang-Sheng Hua |
| 2019 | APCC | Blockchain-Based Smart Contract Access Control System. | Weiqi Dai, Chenlong Wang, Changze Cui, Hai Jin, Xinqiao Lv |
| 2019 | ASPLOS | DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. | Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu |
| 2019 | CCGRID | A Novel Stochastic Gradient Descent Algorithm Based on Grouping over Heterogeneous Cluster Systems for Distributed Deep Learning. | Wenbin Jiang, Geyan Ye, Laurence T. Yang, Jian Zhu, Yang Ma, Xia Xie, Hai Jin |
| 2019 | CloudCom | Reasoning Based Workload Performance Prediction in Cloud Data Centers. | Adeel Aslam, Hanhua Chen, Jiang Xiao, Hai Jin |
| 2019 | CW | Modeling Distributed Stream Processing Systems Under Heavy Workload. | Muhammad Mudassar Qureshi, Hanhua Chen, Hai Jin |
| 2019 | DASFAA | Fast Maximal Clique Enumeration for Real-World Graphs. | Yinuo Li, Zhiyuan Shao, Dongxiao Yu, Xiaofei Liao, Hai Jin |
| 2019 | DATE | RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. | Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui |
| 2019 | FPGA | Improving Performance of Graph Processing on FPGA-DRAM Platform by Two-level Vertex Caching. | Zhiyuan Shao, Ruoshi Li, Diqing Hu, Xiaofei Liao, Hai Jin |
| 2019 | GPC | CNTC: A Container Aware Network Traffic Control Framework. | Lin Gu, Junjian Guan, Song Wu, Hai Jin, Jia Rao, Kun Suo, Deze Zeng |
| 2019 | GPC | BlockP2P: Enabling Fast Blockchain Broadcast with Scalable Peer-to-Peer Network Topology. | Weifeng Hao, Jiajie Zeng, Xiaohai Dai, Jiang Xiao, Qiang-Sheng Hua, Hanhua Chen, Kuan-Ching Li, Hai Jin |
| 2019 | GPC | AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process. | Deqing Zou, Ju Yang, Zhen Li, Hai Jin, Xiaojing Ma |
| 2019 | HPCC | Partitioning Large-Scale Property Graph for Efficient Distributed Query Processing. | Haohan Pang, Peng Gan, Pingpeng Yuan, Hai Jin, Qiang-Sheng Hua |
| 2019 | HPCC | Failure Order: A Missing Piece in Disk Failure Processing of Data Centers. | Yusheng Yi, Jiang Xiao, Song Wu, Huichuwu Li, Hai Jin |
| 2019 | HPDC | Adaptive Resource Views for Containers. | Hang Huang, Jia Rao, Song Wu, Hai Jin, Kun Suo, Xiaofeng Wu |
| 2019 | HPDC | Preemptive Multi-Queue Fair Queuing. | Yong Zhao, Kun Suo, Xiaofeng Wu, Jia Rao, Song Wu, Hai Jin |
| 2019 | ICA3PP | Differential Privacy Preservation for Smart Meter Systems. | Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen |
| 2019 | ICCD | HiNUMA: NUMA-Aware Data Placement and Migration in Hybrid Memory Systems. | Zhuohui Duan, Haikun Liu, Xiaofei Liao, Hai Jin, Wenbin Jiang, Yu Zhang |
| 2019 | ICDCS | When FPGA-Accelerator Meets Stream Data Processing in the Edge. | Song Wu, Die Hu, Shadi Ibrahim, Hai Jin, Jiang Xiao, Fei Chen, Haikun Liu |
| 2019 | ICDCS | Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing. | Lin Gu, Deze Zeng, Wei Li, Song Guo, Albert Y. Zomaya, Hai Jin |
| 2019 | ICDCS | Jidar: A Jigsaw-like Data Reduction Approach Without Trust Assumptions for Bitcoin System. | Xiaohai Dai, Jiang Xiao, Wenhui Yang, Chaofan Wang, Hai Jin |
| 2019 | ICDCS | The Power of Better Choice: Reducing Relocations in Cuckoo Filter. | Feiyue Wang, Hanhua Chen, Liangyi Liao, Fan Zhang, Hai Jin |
| 2019 | ICDCS | Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments. | Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin |
| 2019 | ICDCS | Simois: A Scalable Distributed Stream Join System with Skewed Workloads. | Fan Zhang, Hanhua Chen, Hai Jin |
| 2019 | ISCA | Fine-grained warm water cooling for improving datacenter economy. | Weixiang Jiang, Ziyang Jia, Sirui Feng, Fangming Liu, Hai Jin |
| 2019 | ICSOC | Graph-Based Optimal Data Caching in Edge Computing. | Xiaoyu Xia, Feifei Chen, Qiang He, Guangming Cui, Phu Lai, Mohamed Abdelrazek, John C. Grundy, Hai Jin |
| 2019 | NPC | N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance. | Lin Gu, Qizhi Tang, Song Wu, Hai Jin, Yingxi Zhang, Guoqiang Shi, Tingyu Lin, Jia Rao |
| 2019 | NPC | High Performance DDoS Attack Detection System Based on Distribution Statistics. | Xia Xie, Jinpeng Li, Xiaoyang Hu, Hai Jin, Hanhua Chen, Xiaojing Ma, Hong Huang |
| 2019 | PAKDD | TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams. | Yang Xiao, Hong Huang, Feng Zhao, Hai Jin |
| 2019 | SC | GraphM: an efficient storage system for high throughput of concurrent graph processing. | Jin Zhao, Yu Zhang, Xiaofei Liao, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Yicheng Chen |
| 2018 | ACISP | Automatically Identifying Security Bug Reports via Multitype Features Analysis. | Deqing Zou, Zhijun Deng, Zhen Li, Hai Jin |
| 2018 | ACSAC | A Heuristic Framework to Detect Concurrency Vulnerabilities. | Changming Liu, Deqing Zou, Peng Luo, Bin B. Zhu, Hai Jin |
| 2018 | CGO | Scalable concurrency debugging with distributed graph processing. | Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang |
| 2018 | CIKM | Privacy-Preserving Triangle Counting in Large Graphs. | Xiaofeng Ding, Xiaodong Zhang, Zhifeng Bao, Hai Jin |
| 2018 | CSCWD | MomentSA: A Fast and Accurate Method for Stochastic Kronecker Graph Parameter Computing. | Yongqiang Li, Zhiyuan Shao, Hong Huang, Yinuo Li, Hai Jin |
| 2018 | CSCWD | PNPFI: An Efficient Parallel Frequent Itemsets Mining Algorithm. | Fang Zhang, Yu Zhang, Xiaofei Liao, Hai Jin |