Pipei Huang

According to our database, Pipei Huang authored at least 18 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding.

Peng Zhang, Guanghao Zhang, Wanggui He, Longxiang Zhang, Mushui Liu, Yan Xia, Zhenhao Peng, Weilong Dai, Jinlong Liu, Haobing Tang, Lei Zhang, Hao Jiang, Pipei Huang

CoRR, May, 2026

Think When Needed: Adaptive Reasoning-Driven Multimodal Embeddings with a Dual-LoRA Architecture.

Longxiang Zhang, Weilong Dai, Guanghao Zhang, Hao Jiang, Pipei Huang

CoRR, May, 2026

simpleposter: a simple baseline for product poster generation.

Benlei Cui, Fangao Zeng, Weitao Jiang, Yuwen Zhai, Haiwen Hong, Longtao Huang, Hui Xue, Wenxiang Shang, Pipei Huang

CoRR, May, 2026

Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers.

Jingyuan Zhu, Biaolong Chen, Le Zhang, Aixi Zhang, Hao Jiang, Pipei Huang

CoRR, May, 2026

PromptEcho: Annotation-Free Reward from Vision-Language Models for Text-to-Image Reinforcement Learning.

Jinlong Liu, Wanggui He, Peng Zhang, Mushui Liu, Hao Jiang, Pipei Huang

CoRR, April, 2026

Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache.

Bowen Cui, Yuanbin Wang, Huajiang Xu, Biaolong Chen, Aixi Zhang, Hao Jiang, Zhengzheng Jin, Xu Liu, Pipei Huang

CoRR, February, 2026

Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO.

Yunze Tong, Mushui Liu, Canyu Zhao, Wanggui He, Shiyi Zhang, Hongwei Zhang, Peng Zhang, Jinlong Liu, Ju Huang, Jiamang Wang, Hao Jiang, Pipei Huang

CoRR, February, 2026

2020

Billion-scale Recommendation with Heterogeneous Side Information at Taobao.

Andreas Pfadler, Huan Zhao, Jizhe Wang, Lifeng Wang, Pipei Huang, Dik Lun Lee

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba.

Qiwei Chen, Huan Zhao, Wei Li, Pipei Huang, Wenwu Ou

CoRR, 2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion.

Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall.

Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-Level Deep Cascade Trees for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha

CoRR, 2018

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba.

Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2012

Boosting for transfer learning from multiple data sources.

Pipei Huang, Gang Wang, Shiyin Qin

Pattern Recognit. Lett., 2012

Learning a projective mapping to locate animals in video using RFID.

Pipei Huang, Rahul Sawhney, Daniel Walker, Kim Wallen, Aaron F. Bobick, Shiyin Qin, Tucker R. Balch

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning.

Pipei Huang, Shiyin Qin, Donghuan Lu

Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2011

2010

A novel learning approach to multiple tasks based on boosting methodology.

Pipei Huang, Gang Wang, Shiyin Qin

Pattern Recognit. Lett., 2010