Jiawei Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
86
Venues
26
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*ICDE15 papers
- A*AAAI13 papers
- A*SIGMOD10 papers
- BDASFAA8 papers
- A*KDD6 papers
- A*WWW4 papers
- MulticonferenceICASSP4 papers
- A*IJCAI4 papers
- CSEKE3 papers
- A*CVPR2 papers
- CAPWEB2 papers
- A*ACL1 paper
- A*SIGIR1 paper
- CCSCWD1 paper
- AECAI1 paper
- AIROS1 paper
- AICWS1 paper
- NationalMVA1 paper
- CADMA1 paper
- BPIMRC1 paper
- BWCNC1 paper
- AInterspeech1 paper
- ARecSys1 paper
- ACIKM1 paper
- ACIDR1 paper
- A*ICML1 paper
Papers
86 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning. | Bin Hu, Jingling Yuan, Jiawei Jiang, Chuang Hu |
| 2026 | AAAI | Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. | Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | AAAI | REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature. | Wenhan Wu, Zhili He, Huanghuang Liang, Yili Gong, Jiawei Jiang, Chuang Hu, Dazhao Cheng |
| 2026 | ACL | AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters. | Hao Luo, Xiao Yan, Xinyan Li, Qiming Zeng, Yuhao Lin, Shanshan Feng, Hao Wang, Jiawei Jiang |
| 2026 | DASFAA | Debiasing LLMs in Knowledge-Intensive Tasks via Information-Gain Guided Front-Door Adjustment. | Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | ICDE | DM-RAG: Enhancing User Support in Dameng Databases with Retrieval-Augmented Generation. | Qiang Huang, Ke Liu, Liang Deng, Sijing Zhang, Chuang Hu, Tieyun Qian, Xiao Yan, Jiawei Jiang |
| 2026 | ICDE | HistCore: Scalable $k$-Core Decomposition on GPUs with Locality-Aware Computation. | Chen Zhao, Guojia Wan, Ting Yu, Jiawei Jiang, Bo Du |
| 2026 | KDD | MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan. | Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang |
| 2026 | KDD | Heaven-Sent or Hell-Bent? Benchmarking the Intelligence and Defectiveness of LLM Hallucinations. | Chengxu Yang, Jingling Yuan, Siqi Cai, Jiawei Jiang, Chuang Hu |
| 2026 | KDD | HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. | Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang |
| 2026 | WWW | Text-attributed Graph Condensation via Text Selection and Attribute Matching. | Haowei Han, Yuxiang Wang, Guojia Wan, Hao Wang, Shanshan Feng, Hao Huang, Jiawei Jiang, Xiao Yan |
| 2026 | SIGIR | Recursive Short-to-Long Generalization for Multi-hop Reasoning. | Mayi Xu, Ke Sun, Jianhao Chen, Qiankun Pi, Guixin Su, Yunfeng Ning, Yongqi Li, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian |
| 2026 | SIGMOD | FuxiShuffle: An Adaptive and Resilient Shuffle Service for Distributed Data Processing on Alibaba Cloud. | Yuhao Lin, Zhipeng Tang, Jiayan Tong, Junqing Xiao, Bin Lu, Yuhang Li, Chao Li, Zhiguo Zhang, Junhua Wang, Hao Luo, James Cheng, Chuang Hu, Jiawei Jiang, Xiao Yan |
| 2025 | AAAI | Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking. | Jianwei Zheng, Xiaomin Yao, Guojiang Shen, Wei Li, Jiawei Jiang |
| 2025 | AAAI | Towards Scalable and Deep Graph Neural Networks via Noise Masking. | Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui |
| 2025 | AAAI | HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Quanqing Xu, Ziyi Li, Chuang Hu, Jiawei Jiang |
| 2025 | CSCWD | Optimization for Task Offloading and Downloading in UAV-Assisted MEC Systems with Aerial to Aerial Collaboration. | Jiawei Jiang, Xiang Tian, Yubing Han, Chunyu Hu, Bin Feng, Jiguo Yu |
| 2025 | CVPR | LMO: Linear Mamba Operator for MRI Reconstruction. | Wei Li, Jiawei Jiang, Jie Wu, Kaihao Yu, Jianwei Zheng |
| 2025 | DASFAA | VF-FD: Feature Deduplication for Vertical Federated Learning. | Ziyi Li, Xiao Yan, Yuanyuan Zhu, Ruixuan Zhang, Hao Huang, Qinbo Zhang, Guojia Wan, Jiawei Jiang |
| 2025 | DASFAA | InC: A Vertical Federated Learning Framework with Multiple Noisy Labels. | Ruixuan Zhang, Ziyi Li, Xiao Yan, Xiaokai Zhou, Hao Wang, Hao Huang, Jiawei Jiang |
| 2025 | DASFAA | RAP: Random Projection is What You Need for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang |
| 2025 | ECAI | Controllable Face Inpainting via Pseudo-Style Embedding. | Jie Wu, Jiawei Jiang, Yueqian Quan, Honghui Xu, Wanjun Chen, Jianwei Zheng |
| 2025 | ICASSP | GADACE: Graph Anomaly Detection Combining Attribute Contrast and Structure Reconstruction. | Shihui Wang, Yulan Yang, Zixin Tan, Zhigao Zheng, Jiawei Jiang, Hao Huang, Quanqing Xu, Chuanhui Yang |
| 2025 | ICDE | Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning. | Wenhan Wu, Yili Gong, Jiawei Jiang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng |
| 2025 | ICDE | Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. | Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang |
| 2025 | IJCAI | Guiding LLM-based Smart Contract Generation with Finite State Machine. | Hao Luo, Yuhao Lin, Xiao Yan, Xintong Hu, Yuxiang Wang, Qiming Zeng, Hao Wang, Jiawei Jiang |
| 2025 | IJCAI | Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph. | Yuxiang Wang, Xiao Yan, Shiyu Jin, Quanqing Xu, Chuang Hu, Yuanyuan Zhu, Bo Du, Jia Wu, Jiawei Jiang |
| 2025 | IJCAI | Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric. | Wenhan Wu, Huanghuang Liang, Jingling Yuan, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Xiaobo Zhou, Dazhao Cheng |
| 2025 | IJCAI | Model Rake: A Defense Against Stealing Attacks in Split Learning. | Qinbo Zhang, Xiao Yan, Yanfeng Zhao, Fangcheng Fu, Quanqing Xu, Yukai Ding, Xiaokai Zhou, Chuang Hu, Jiawei Jiang |
| 2025 | IROS | Learning to Exploit Leg Odometry Enables Terrain-Aware Quadrupedal Locomotion. | Yong Zhou, Jiawei Jiang, Bo Du, Zengmao Wang |
| 2025 | ICWS | Program Verification to Defend Chain-of-Thought Attacks for LLM Services. | Shuo He, Jiawei Jiang, Hongbao Liu, Tao Tang |
| 2025 | MVA | Modality Selection and Skill Segmentation via Cross-Modality Attention. | Jiawei Jiang, Kei Ota, Devesh K. Jha, Asako Kanezaki |
| 2025 | WWW | TESA: A Trajectory and Semantic-aware Dynamic Heterogeneous Graph Neural Network. | Xin Wang, Jiawei Jiang, Xiao Yan, Qiang Huang |
| 2025 | WWW | Intelligent Welding System for Aluminum Coils by Adaptive Path Planning with Real-world Dataset. | Xiaowei Huang, Huanghuang Liang, Zhili He, Sihan Feng, Jiawei Jiang, Kanye Ye Wang, Chuang Hu, Dazhao Cheng |
| 2025 | WWW | Aegis: Post-Training Attribute Unlearning in Federated Recommender Systems against Attribute Inference Attacks. | Wenhan Wu, Jiawei Jiang, Chuang Hu |
| 2025 | SEKE | A Privacy Preserving Cross-Domain Label Propagation Algorithm. | Shuo He, Hongbao Liu, Tao Tang, Jiawei Jiang |
| 2024 | AAAI | Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction. | Jiacheng Chen, Jiawei Jiang, Fei Wu, Jianwei Zheng |
| 2024 | AAAI | Learning Diffusions under Uncertainty. | Hao Huang, Qian Yan, Keqi Han, Ting Gan, Jiawei Jiang, Quanqing Xu, Chuanhui Yang |
| 2024 | ADMA | Regional Food Culture Preference Mining Based on Restaurant POI. | Ziyi Zhang, Xu Chen, Hao Huang, Guojia Wan, Xuan Zhou, Shuang Li, Yuhao Lin, Jiawei Jiang |
| 2024 | CVPR | Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation. | Shihong Wang, Ruixun Liu, Kaiyu Li, Jiawei Jiang, Xiangyong Cao |
| 2024 | DASFAA | TreeCSS: An Efficient Framework for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Quanqing Xu, Chuang Hu, Xiaokai Zhou, Jiawei Jiang |
| 2024 | DASFAA | VFDV-IM: An Efficient and Securely Vertical Federated Data Valuation. | Xiaokai Zhou, Xiao Yan, Xinyan Li, Hao Huang, Quanqing Xu, Qinbo Zhang, Yen Jerome, Zhaohui Cai, Jiawei Jiang |
| 2024 | ICASSP | Memory-Augmented Dual-Domain Unfolding Network for MRI Reconstruction. | Jiawei Jiang, Jie Wu, Yueqian Quan, Jiacheng Chen, Jianwei Zheng |
| 2024 | ICDE | Benchtemp: A General Benchmark for Evaluating Temporal Graph Neural Networks. | Qiang Huang, Xin Wang, Susie Xi Rao, Zhichao Han, Zitao Zhang, Yongjun He, Quanqing Xu, Yang Zhao, Zhigao Zheng, Jiawei Jiang |
| 2024 | ICDE | HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism. | Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui |
| 2024 | ICDE | Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning. | Yuxiang Wang, Xiao Yan, Chuang Hu, Quanqing Xu, Chuanhui Yang, Fangcheng Fu, Wentao Zhang, Hao Wang, Bo Du, Jiawei Jiang |
| 2024 | KDD | Self-Supervised Learning for Graph Dataset Condensation. | Yuxiang Wang, Xiao Yan, Shiyu Jin, Hao Huang, Quanqing Xu, Qingchen Zhang, Bo Du, Jiawei Jiang |
| 2024 | PIMRC | WiFineTrack: Enabling Fine-Grained Position Tracking Using Commodity WiFi. | Gaolong Jiang, Zijun Han, Zhaoming Lu, Xiangming Wen, Jiawei Jiang |
| 2024 | WCNC | EasyWiTrack: Fine-Grained Sensing for Plug-and-Play Position Tracking with Wi-Fi. | Jiawei Jiang, Zijun Han, Zhaoming Lu, Xiangming Wen, Gaolong Jiang |
| 2023 | AAAI | PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. | Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang |
| 2023 | AAAI | Continuous Trajectory Generation Based on Two-Stage GAN. | Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang |
| 2023 | ICASSP | Building Change Detection Using Cross-Temporal Feature Interaction Network. | Yuchao Feng, Jiawei Jiang, Honghui Xu, Jianwei Zheng |
| 2023 | ICASSP | Low-Dose CT Reconstruction Via Optimization-Inspired GAN. | Jiawei Jiang, Yuchao Feng, Honghui Xu, Jianwei Zheng |
| 2023 | ICDE | Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. | Jiawei Jiang, Dayan Pan, Houxing Ren, Xiaohan Jiang, Chao Li, Jingyuan Wang |
| 2023 | Interspeech | An Intra-BRNN and GB-RVQ Based END-TO-END Neural Audio Codec. | Linping Xu, Jiawei Jiang, Dejun Zhang, Xianjun Xia, Li Chen, Yijian Xiao, Piao Ding, Shenyi Song, Sixing Yin, Ferdous Sohel |
| 2023 | RecSys | Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting. | Jiawei Jiang, Bing Wang, Jingyuan Wang |
| 2022 | AAAI | STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. | Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang |
| 2022 | CIKM | BRIGHT - Graph Neural Networks in Real-time Fraud Detection. | Mingxuan Lu, Zhichao Han, Susie Xi Rao, Zitao Zhang, Yang Zhao, Yinan Shan, Ramesh Raghunathan, Ce Zhang, Jiawei Jiang |
| 2022 | ICDE | Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract). | Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang |
| 2022 | KDD | Analyzing Online Transaction Networks with Network Motifs. | Jiawei Jiang, Yusong Hu, Xiaosen Li, Wen Ouyang, Zhitao Wang, Fangcheng Fu, Bin Cui |
| 2022 | SIGMOD | In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. | Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cdric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang |
| 2021 | AAAI | MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. | Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui |
| 2021 | CIDR | Ease.ML: A Lifecycle Management System for Machine Learning. | Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Grel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cdric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang |
| 2021 | ICDE | CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract). | Xupeng Miao, Lingxiao Ma, Zhi Yang, Yingxia Shao, Bin Cui, Lele Yu, Jiawei Jiang |
| 2021 | KDD | OpenBox: A Generalized Black-box Optimization Service. | Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui |
| 2021 | SIGMOD | VF | Fangcheng Fu, Yingxia Shao, Lele Yu, Jiawei Jiang, Huanran Xue, Yangyu Tao, Bin Cui |
| 2021 | SIGMOD | Towards Demystifying Serverless Machine Learning Training. | Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang |
| 2021 | SIGMOD | Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce. | Xupeng Miao, Xiaonan Nie, Yingxia Shao, Zhi Yang, Jiawei Jiang, Lingxiao Ma, Bin Cui |
| 2020 | AAAI | Efficient Automatic CASH via Rising Bandits. | Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | ICDE | PSGraph: How Tencent trains extremely large-scale graphs with Spark? | Jiawei Jiang, Pin Xiao, Lele Yu, Xiaosen Li, Jiefeng Cheng, Xupeng Miao, Zhipeng Zhang, Bin Cui |
| 2020 | ICDE | C olumnSGD: A Column-oriented Framework for Distributed Stochastic Gradient Descent. | Zhipeng Zhang, Wentao Wu, Jiawei Jiang, Lele Yu, Bin Cui, Ce Zhang |
| 2020 | ICDE | Efficient Diversity-Driven Ensemble for Deep Neural Networks. | Wentao Zhang, Jiawei Jiang, Yingxia Shao, Bin Cui |
| 2020 | ICML | Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. | Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui |
| 2020 | SIGMOD | Reliable Data Distillation on Graph Convolutional Network. | Wentao Zhang, Xupeng Miao, Yingxia Shao, Jiawei Jiang, Lei Chen, Olivier Ruas, Bin Cui |
| 2020 | SEKE | The Prediction of Delay Time and Route Planning for Autonomous Vehicles. | Genwang Gou, Yongxin Zhao, Jiawei Jiang, Ling Shi |
| 2020 | SEKE | A Detect-and-Modify Region-based Classifier to Defend Evasion Attacks. | Jiawei Jiang, Yongxin Zhao, Xi Wu, Genwang Gou |
| 2019 | APWEB | FeatureBand: A Feature Selection Method by Combining Early Stopping and Genetic Local Search. | Huanran Xue, Jiawei Jiang, Yingxia Shao, Bin Cui |
| 2019 | DASFAA | Sparse Gradient Compression for Distributed SGD. | Haobo Sun, Yingxia Shao, Jiawei Jiang, Bin Cui, Kai Lei, Yu Xu, Jiang Wang |
| 2019 | ICDE | MLlib*: Fast Training of GLMs Using Spark MLlib. | Zhipeng Zhang, Jiawei Jiang, Wentao Wu, Ce Zhang, Lele Yu, Bin Cui |
| 2019 | SIGMOD | PS2: Parameter Server on Spark. | Zhipeng Zhang, Bin Cui, Yingxia Shao, Lele Yu, Jiawei Jiang, Xupeng Miao |
| 2018 | SIGMOD | DimBoost: Boosting Gradient Boosting Decision Tree to Higher Dimensions. | Jiawei Jiang, Bin Cui, Ce Zhang, Fangcheng Fu |
| 2018 | SIGMOD | SketchML: Accelerating Distributed Machine Learning with Data Sketches. | Jiawei Jiang, Fangcheng Fu, Tong Yang, Bin Cui |
| 2017 | APWEB | TeslaML: Steering Machine Learning Automatically in Tencent. | Jiawei Jiang, Ming Huang, Jie Jiang, Bin Cui |
| 2017 | DASFAA | StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System. | Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu |
| 2017 | ICDE | TencentBoost: A Gradient Boosting Tree System with Parameter Server. | Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang |
| 2017 | SIGMOD | Heterogeneity-aware Distributed Parameter Servers. | Jiawei Jiang, Bin Cui, Ce Zhang, Lele Yu |