A Reinforcement Learning Framework for Explainable Recommendation. - Xiting Wang; Yiru Chen; Jie Yang; Le Wu; Zhengtao Wu; Xing Xie 001 (ICDM, 2018)

Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. - Xiaoyang Ma; Lan Zhang 002; Lan Xu; Zhicheng Liu; Ge Chen; Zhili Xiao; Yang Wang; Zhengtao Wu (KDD, 2019)

Poster: Cross Labelling and Learning Unknown Activities Among Multimodal Sensing Data. - Lan Zhang 002; Daren Zheng; Zhengtao Wu; Mengjing Liu; Mu Yuan; Feng Han; Xiang-Yang Li 001 (MobiCom, 2019)

High-quality Activity-Level Video Advertising. - Mu Yuan; Lan Zhang 002; Zhengtao Wu; Daren Zheng (IWQoS, 2020)

A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation. - Hong Zhang; Lan Zhang 002; Lan Xu; Xiaoyang Ma; Zhengtao Wu; Cong Tang; Wei Xu; Yiguo Yang (KDD, 2020)

Efficient Ad-level Impression Forecasting based on Monotonicity and Sampling. - Zhengtao Wu; Lan Zhang 002; Hui Sheng (BigCom, 2021)

Multimodal Crowd Counting with Mutual Attention Transformers. - Zhengtao Wu; Lingbo Liu; Yang Zhang; Mingzhi Mao; Liang Lin; Guanbin Li (ICME, 2022)

HairGAN: Spatial-Aware Palette GAN for Hair Color Transfer. - Yifan Xie; Yinjia Huang; Ricong Huang; Zhengtao Wu; Mingzhi Mao; Guanbin Li (ICME, 2022)

Unconstrained face sketch synthesis via perception-adaptive network and a new benchmark. - Lin Nie; Lingbo Liu; Zhengtao Wu; Wenxiong Kang (Neurocomputing, 2022)

PUFFER: A Routability-Driven Placement Framework via Cell Padding with Multiple Features and Strategy Exploration. - Zhijie Cai; Peng Zou; Zhengtao Wu; Xingyu Tong 001; Jun Yu 010; Jianli Chen; Yao-Wen Chang (DAC, 2023)

MultiSense: Cross-labelling and Learning Human Activities Using Multimodal Sensing Data. - Lan Zhang 002; Daren Zheng; Mu Yuan; Feng Han; Zhengtao Wu; Mengjing Liu; Xiang-Yang Li 001 (ACM Trans. Sens. Networks, 2023)