Haoxuan Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Reinforcement Learning

Top Venues

Vis. Informatics

IEEE Trans. Ind. Informatics

Publications

Yuxuan Gu, Yi Jin, Ben Wang, Zhixiang Wei, Xiaoxiao Ma, Pengyang Ling, Haoxuan Wang, Huaian Chen, Enhong Chen
Seed Optimization with Frozen Generator for Superior Zero-shot Low-light Enhancement. CoRR (2024)
Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
PTQ4DiT: Post-training Quantization for Diffusion Transformers. CoRR (2024)
Haoxuan Wang, Yuzhang Shang, Zhihang Yuan, Junyi Wu, Yan Yan
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. CoRR (2024)
Yingying Cai, Wenhui Hu, Xueyang Liu, Haoxuan Wang, Xiankui Zhang, Jiaxi Wang
User Dual Intents Graph Modeling for Information Diffusion Prediction. BigDataSecurity (2024)
Zonghao Zuo, Xia He, Haoxuan Wang, Zhuyin Shao, Jiaqi Liu, Qiyi Zhang, Fei Pan, Li Wen
A Nitinol-Embedded Wearable Soft Robotic Gripper for Deep-Sea Manipulation: A Wearable Device for Deep-Sea Delicate Operation. IEEE Robotics Autom. Mag. 31 (1) (2024)
Haoxuan Wang, Xin Fan, Pengyang Ling, Ben Wang, Huaian Chen, Yi Jin
Collaborative Filter Pruning for Efficient Automatic Surface Defect Detection. IEEE Trans. Ind. Informatics 20 (2) (2024)
Hongyan Li, Hang Lu, Haoxuan Wang, Shengji Deng, Xiaowei Li
BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 31 (1) (2023)
Xiang Ju, Shengchao Su, Chaojie Xu, Haoxuan Wang
Computation offloading and tasks scheduling for the internet of vehicles in edge computing: A deep reinforcement learning-based pointer network approach. Comput. Networks 223 (2023)
Tianyang Xue, Mingdong Wu, Lin Lu, Haoxuan Wang, Hao Dong, Baoquan Chen
Learning Gradient Fields for Scalable and Generalizable Irregular Packing. CoRR (2023)
Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao
CCTEST: Testing and Repairing Code Completion Systems. ICSE (2023)
Tianyang Xue, Mingdong Wu, Lin Lu, Haoxuan Wang, Hao Dong, Baoquan Chen
Learning Gradient Fields for Scalable and Generalizable Irregular Packing. SIGGRAPH Asia (2023)
Zhiguang Zhou, Ling Sun, Haoxuan Wang, Wanghao Yu, Yuhua Liu, Xiang Zhang, Yigang Wang, Wei Chen
iMGC: Interactive Multiple Graph Clustering With Constrained Laplacian Rank. IEEE Trans. Hum. Mach. Syst. 53 (2) (2023)
Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. IJCAI (2023)
Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao
CCTEST: Testing and Repairing Code Completion Systems. CoRR (2022)
Haoxuan Wang, Junchi Yan
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach. CoRR (2022)
Haoxuan Wang, Yuna Ni, Ling Sun, Yuanyuan Chen, Ting Xu, Xiaohui Chen, Weihua Su, Zhiguang Zhou
Hierarchical visualization of geographical areal data with spatial attribute association. Vis. Informatics 5 (3) (2021)
Zhiguang Zhou, Chen Shi, Xilong Shen, Lihong Cai, Haoxuan Wang, Yuhua Liu, Ying Zhao, Wei Chen
Context-aware Sampling of Large Networks via Graph Representation Learning. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Haoxuan Wang, Anqi Liu, Zhiding Yu, Yisong Yue, Anima Anandkumar
Distributionally Robust Learning for Unsupervised Domain Adaptation. CoRR (2020)
Chen Shi, Haoxuan Wang, Binjie Chen, Yuhua Liu, Zhiguang Zhou
Visual Analysis of Citation Context-Based Article Influence Ranking. IEEE Access 7 (2019)