Yihua Huang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Feature Engineering

Top Venues

Proc. VLDB Endow.

Publications

Shen Jiang, Guanghui Zhu, Yue Wang, Chunfeng Yuan, Yihua Huang
Automatic Multi-Task Learning Framework with Neural Architecture Search in Recommendations. KDD (2024)
Ziyu Gong, Chengcheng Mai, Yihua Huang
AsCL: An Asymmetry-sensitive Contrastive Learning Method for Image-Text Retrieval with Cross-Modal Fusion. CoRR (2024)
Ziyu Gong, Chengcheng Mai, Yihua Huang
MG-VLCR: A Multimodal LLM Guided Zero-shot Method for Visio-linguistic Compositional Reasoning with Autoregressive Generative Language Model. ICMR (2024)
Chengcheng Mai, Yuxiang Wang, Ziyu Gong, Hanxiang Wang, Kaiwen Luo, Chunfeng Yuan, Yihua Huang
iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy. Expert Syst. Appl. 254 (2024)
Jingyan Chen, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
Boosting Graph Anomaly Detection with Adaptive Message Passing. ICLR (2024)
Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs. SIGIR (2024)
Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang
AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. SIGIR (2023)
Rong Gu, Yi Zhang, Liangliang Yin, Lingyi Song, Wenjie Huang, Chunfeng Yuan, Zhaokang Wang, Guanghui Zhu, Yihua Huang
Coral: federated query join order optimization based on deep reinforcement learning. World Wide Web (WWW) 26 (5) (2023)
Shen Jiang, Zipeng Ji, Guanghui Zhu, Chunfeng Yuan, Yihua Huang
Operation-Level Early Stopping for Robustifying Differentiable NAS. NeurIPS (2023)
Guanghui Zhu, Zhennan Zhu, Hongyang Chen, Chunfeng Yuan, Yihua Huang
HAGNN: Hybrid Aggregation for Heterogeneous Graph Neural Networks. CoRR (2023)
Chengcheng Mai, Kaiwen Luo, Yuxiang Wang, Ziyan Peng, Yu Chen, Chunfeng Yuan, Yihua Huang
Nested relation extraction via self-contrastive learning guided by structure and semantic similarity. Neural Networks 162 (2023)
Guanghui Zhu, Mengyu Chen, Chunfeng Yuan, Yihua Huang
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective. CoRR (2023)
Rong Gu, Han Li, Haipeng Dai, Wenjie Huang, Jie Xue, Meng Li, Jiaqi Zheng, Haoran Cai, Yihua Huang, Guihai Chen
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation. Proc. VLDB Endow. 16 (13) (2023)
Guanghui Zhu, Haojun Hou, Peiliang Wang, Chunfeng Yuan, Yihua Huang
STSD: Modeling Spatial Temporal Staticity and Dynamicity in Traffic Forecasting. ICDM (2023)
Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. CoRR (2023)
Rong Gu, Xiaofei Chen, Haipeng Dai, Shulin Wang, Zhaokang Wang, Yaofeng Tu, Yihua Huang, Guihai Chen
Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression. INFOCOM (2023)
Rong Gu, Zhihao Xu, Yang Che, Xu Wang, Haipeng Dai, Kai Zhang, Bin Fan, Haojun Hou, Li Yi, Yu Ding, Yihua Huang, Guihai Chen
High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. IEEE Trans. Parallel Distributed Syst. 34 (11) (2023)
Guanghui Zhu, Zhennan Zhu, Wenjie Wang, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network. ICDE (2023)
Rong Gu, Simian Li, Haipeng Dai, Hancheng Wang, Yili Luo, Bin Fan, Ran Ben Basat, Ke Wang, Zhenyu Song, Shouwei Chen, Beinan Wang, Yihua Huang, Guihai Chen
Adaptive Online Cache Capacity Optimization via Lightweight Working Set Size Estimation at Scale. USENIX Annual Technical Conference (2023)
Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS (2022)
Guanghui Zhu, Zhuoer Xu, Chunfeng Yuan, Yihua Huang
DIFER: Differentiable Automated Feature Engineering. AutoML (2022)
Rong Gu, Bo Li, Dingjin Liu, Zhaokang Wang, Suhui Wangzhang, Shulin Wang, Haipeng Dai, Yihua Huang
Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization. CSE (2022)
Rong Gu, Xu Huang, Haipeng Dai, Xiaoyu Geng, Xiaofei Chen, Yihua Huang, Fu Xiao, Guihai Chen
Efficient. Scalable and Robust Data Shuffle Service for Distributed MapReduce Computing on Cloud. HPCC/DSS/SmartCity/DependSys (2022)