| 2026 | AAAI | SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices. | Jiaming Huang, Yi Gao, Fuchang Pan, Renjie Li, Wei Dong |
| 2026 | AAAI | RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism. | Zhiwen Tan, Jiaming Huang, Qintong Wu, Hongxuan Zhang, Chenyi Zhuang, Jinjie Gu |
| 2026 | AAAI | SimpleDiffusion: A Lightweight and Efficient Conditional Diffusion Model for Multi-Modal Salient Object Detection. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Jing Liu, Li Han, Jiandun Li, Hongchun Yuan, Zizhu Fan |
| 2025 | AAAI | DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Yan Wu, Terrence Hu, Xiaogang Xu, Jing Liu |
| 2025 | DASFAA | eBASE: Real-Time Battery Swap Recommendation System for eBike Users. | Siwei Zhou, Yongchun Gu, Zhao Li, Yangzhen Li, Chengxiang Zhu, Xuanwu Liu, Jiaming Huang, Ming Li, Xuyun Zhang, Minglu Li |
| 2025 | ICASSP | Multi-modal Salient Object Detection via a Unified Diffusion Model. | Shuo Zhang, Jiaming Huang, Wenbing Tang, Lili Tian, Yuang Wei, Jing Liu |
| 2025 | ICASSP | Seg-diffusion: Text-to-Image Diffusion Model for Open-Vocabulary Semantic Segmentation. | Shuo Zhang, Jiaming Huang, Yan Wu, Tao Hu, Wenbing Tang, Jing Liu |
| 2024 | ADMA | Informative Sample Labeling with Conditional Variational Deep Embedding for Active Learning. | Zhao Li, Qinxue Meng, Haitao Xu, Jiaming Huang, Yangbohan Jiao, Buqing Cao |
| 2024 | CLOUD | Kale: Elastic GPU Scheduling for Online DL Model Training. | Ziyang Liu, Renyu Yang, Jin Ouyang, Weihan Jiang, Tianyu Ye, Menghao Zhang, Sui Huang, Jiaming Huang, Chengru Song, Di Zhang, Tianyu Wo, Chunming Hu |
| 2024 | HPCC | A Window-Driven Compaction Mechanism in LSM-tree-based Key-Value Stores through Near-Data Processing. | Hui Sun, Rui Jin, Jiaming Huang, Yinliang Yue, Xiao Qin |
| 2024 | WWW | Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks. | Jiaming Huang, Yi Gao, Wei Dong |
| 2024 | WSDM | Real-time E-bike Route Planning with Battery Range Prediction. | Zhao Li, Guoqi Ren, Yongchun Gu, Siwei Zhou, Xuanwu Liu, Jiaming Huang, Ming Li |
| 2023 | ICDCS | Elastic DNN Inference with Unpredictable Exit in Edge Computing. | Jiaming Huang, Yi Gao, Wei Dong |
| 2023 | SMC | Dual-Cell Recurrent Network for Target-Oriented Opinion Word Extraction on Global Fields. | Jiaming Huang, Xianyong Li, Yajun Du, Chunzhi Xie, Xiaoliang Chen, Yongquan Fan |
| 2021 | CCGRID | Enhanced-XGB: An Online Service Resource Demand Forecasting Method for Colocation Data Centers. | Chuming Xiao, Jiaming Huang, Weigang Wu, Ye Yin, Hongli Chang |
| 2021 | ICDE | Large-scale Fake Click Detection for E-commerce Recommendation Systems. | Jingdong Li, Zhao Li, Jiaming Huang, Ji Zhang, Xiaoling Wang, Xingjian Lu, Jingren Zhou |
| 2021 | ISPA | MADC: Multi-scale Attention-based Deep Clustering for Workload Prediction. | Jiaming Huang, Chuming Xiao, Weigang Wu, Ye Yin, Hongli Chang |
| 2021 | KDD | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. | Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu |
| 2021 | WWW | What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. | Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang |
| 2020 | CIKM | Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. | Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao |
| 2020 | DASFAA | Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. | Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, Zujie Ren |
| 2020 | DASFAA | Link Inference via Heterogeneous Multi-view Graph Neural Networks. | Yuying Xing, Zhao Li, Pengrui Hui, Jiaming Huang, Xia Chen, Long Zhang, Guoxian Yu |
| 2020 | IC2E | RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning. | Jiaming Huang, Chuming Xiao, Weigang Wu |
| 2020 | IJCAI | Collaboration Based Multi-Label Propagation for Fraud Detection. | Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen |
| 2019 | ICMI | Unsupervised Deep Fusion Cross-modal Hashing. | Jiaming Huang, Chen Min, Liping Jing |
| 2019 | WWW | Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. | Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao |
| 2018 | ICDM | Learning Network Representations with Neighboring Affinity. | Zhao Li, Jiaming Huang, Donghui Ding |
| 2018 | UAI | Unsupervised Multi-view Nonlinear Graph Embedding. | Jiaming Huang, Zhao Li, Vincent W. Zheng, Wen Wen, Yifan Yang, Yuanmi Chen |