Search Results for author: Bo Zheng

Found 50 papers, 15 papers with code

Adaptive Domain Interest Network for Multi-domain Recommendation

no code implementations20 Jun 2022 Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng

Industrial recommender systems usually hold data from multiple business scenarios and are expected to provide recommendation services for these scenarios simultaneously.

Domain Adaptation Recommendation Systems

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

no code implementations2 Jun 2022 Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng

Learning individual-level treatment effect is a fundamental problem in causal inference and has received increasing attention in many areas, especially in the user growth area which concerns many internet companies.

Causal Inference Multi-Task Learning +1

Hierarchically Constrained Adaptive Ad Exposure in Feeds

no code implementations31 May 2022 Dagui Chen, Qi Yan, Chunjie Chen, Zhenzhe Zheng, Yangsu Liu, Zhenjia Ma, Chuan Yu, Jian Xu, Bo Zheng

To this end, adaptive ad exposure has become an appealing strategy to boost the overall performance of the feed.

Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding

no code implementations30 May 2022 Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng

Current bundle generation studies focus on generating a combination of items to improve user experience.

GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model

no code implementations23 May 2022 Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng

Compared to the state-of-the-art derived asynchronous training, GBA achieves up to 0. 2% improvement on the AUC metric, which is significant for the recommendation models.

Recommendation Systems

CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning

no code implementations18 May 2022 Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng

This paper focuses on automatically generating the text of an ad, and the goal is that the generated text can capture user interest for achieving higher click-through rate (CTR).

Contrastive Learning Text Generation

StableMoE: Stable Routing Strategy for Mixture of Experts

1 code implementation ACL 2022 Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei

We point out that existing learning-to-route MoE methods suffer from the routing fluctuation issue, i. e., the target expert of the same input may change along with training, but only one expert will be activated for the input during inference.

Language Modelling Machine Translation

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

1 code implementation11 Apr 2022 Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng

However, we observe that GPU devices in training recommender systems are underutilized, and they cannot attain an expected throughput improvement as what it has achieved in CV and NLP areas.

Recommendation Systems

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction

no code implementations30 Mar 2022 Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng

In many web applications, deep learning-based CTR prediction models (deep CTR models for short) are widely adopted.

Click-Through Rate Prediction

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

no code implementations28 Mar 2022 Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

Moreover, to deploy AMCAD in Taobao, one of the largest ecommerce platforms with hundreds of million users, we design an efficient two-layer online retrieval framework for the task of graph based advertisement retrieval.

Graph Embedding Information Retrieval

BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis

no code implementations10 Mar 2022 Haiyang Liu, Zihao Zhu, Naoya Iwamoto, Yichen Peng, Zhengqing Li, You Zhou, Elif Bozkurt, Bo Zheng

Achieving realistic, vivid, and human-like synthesized conversational gestures conditioned on multi-modal data is still an unsolved problem, due to the lack of available datasets, models and standard evaluation metrics.

Gesture Recognition

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction

1 code implementation14 Feb 2022 Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng

Moreover, to estimate CVR upon the freshly observed but biased distribution with fake negatives, the importance sampling is widely used to reduce the distribution bias.

MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration

1 code implementation9 Feb 2022 Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng

In previous work, researchers have developed several calibration methods to post-process the outputs of a predictor to obtain calibrated values, such as binning and scaling methods.

Medical Diagnosis

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation

no code implementations20 Jan 2022 Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng

Then a student model is trained on both clicked and unclicked ads with knowledge distillation, performing uncertainty modeling to alleviate the inherent noise in pseudo-labels.

Knowledge Distillation Selection bias

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction

no code implementations21 Dec 2021 Kailun Wu, Zhangming Chan, Weijie Bian, Lejian Ren, Shiming Xiang, Shuguang Han, Hongbo Deng, Bo Zheng

We further show that such a process is equivalent to adding an adversarial perturbation to the model input, and thereby name our proposed approach as an the Adversarial Gradient Driven Exploration (AGE).

Click-Through Rate Prediction online learning +1

Characterizing the adversarial vulnerability of speech self-supervised learning

no code implementations8 Nov 2021 Haibin Wu, Bo Zheng, Xu Li, Xixin Wu, Hung-Yi Lee, Helen Meng

As the paradigm of the self-supervised learning upstream model followed by downstream tasks arouses more attention in the speech community, characterizing the adversarial robustness of such paradigm is of high priority.

Adversarial Robustness Representation Learning +1

Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching

no code implementations1 Nov 2021 Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng

When speaking of sponsored search, bid keyword recommendation is the fundamental service.

text similarity

Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training

1 code implementation EMNLP 2021 Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei

We find that many languages are under-represented in recent cross-lingual language models due to the limited vocabulary capacity.

Language Modelling

Binary Code based Hash Embedding for Web-scale Applications

no code implementations24 Aug 2021 Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

In these applications, embedding learning of categorical features is crucial to the success of deep learning models.

Recommendation Systems

Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

1 code implementation ECCV 2020 Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng, Imari Sato

Real-time video deblurring still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost.

Ranked #21 on Image Deblurring on GoPro (using extra training data)

Deblurring Image Deblurring

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

no code implementations8 Jun 2021 Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng

Although a few studies use multi-agent reinforcement learning to set up a cooperative game, they still suffer the following drawbacks: (1) They fail to avoid collusion solutions where all the advertisers involved in an auction collude to bid an extremely low price on purpose.

Multi-agent Reinforcement Learning

4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface

1 code implementation ICCV 2021 Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner

Tracking non-rigidly deforming scenes using range sensors has numerous applications including computer vision, AR/VR, and robotics.

Computer Vision Motion Estimation

Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multiple Data Sources

no code implementations11 Mar 2021 Guannan Geng, Qingyang Xiao, Shigan Liu, Xiaodong Liu, Jing Cheng, Yixuan Zheng, Dan Tong, Bo Zheng, Yiran Peng, Xiaomeng Huang, Kebin He, Qiang Zhang

Accordingly, a full-coverage high-resolution air pollutant dataset with timely updates and historical long-term records is essential to support both research and environmental management.

Global Daily CO$_2$ emissions for the year 2020

no code implementations3 Mar 2021 Zhu Liu, Zhu Deng, Philippe Ciais, Jianguang Tan, Biqing Zhu, Steven J. Davis, Robbie Andrew, Olivier Boucher, Simon Ben Arous, Pep Canadel, Xinyu Dou, Pierre Friedlingstein, Pierre Gentine, Rui Guo, Chaopeng Hong, Robert B. Jackson, Daniel M. Kammen, Piyu Ke, Corinne Le Quere, Crippa Monica, Greet Janssens-Maenhout, Glen Peters, Katsumasa Tanaka, Yilong Wang, Bo Zheng, Haiwang Zhong, Taochun Sun, Hans Joachim Schellnhuber

That even substantial world-wide lockdowns of activity led to a one-time decline in global CO$_2$ emissions of only 5. 4% in one year highlights the significant challenges for climate change mitigation that we face in the post-COVID era.

Atmospheric and Oceanic Physics General Economics Economics

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension

1 code implementation ACL 2020 Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu

Natural Questions is a new challenging machine reading comprehension benchmark with two-grained answers, which are a long answer (typically a paragraph) and a short answer (one or more entities inside the long answer).

Benchmark Graph Attention +1

Adversarial Multimodal Representation Learning for Click-Through Rate Prediction

no code implementations7 Mar 2020 Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng

Finally, we achieve the multimodal item representations by combining both modality-specific and modality-invariant representations.

Click-Through Rate Prediction Representation Learning

RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search

no code implementations28 Oct 2019 Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei. Lin, Bo Zheng, Dongyan Zhao, Rui Yan

Sponsored search optimizes revenue and relevance, which is estimated by Revenue Per Mille (RPM).

A bi-diffusion based layer-wise sampling method for deep learning in large graphs

no code implementations25 Sep 2019 Yu He, Shiyang Wen, Wenjin Wu, Yan Zhang, Siran Yang, Yuan Wei, Di Zhang, Guojie Song, Wei Lin, Liang Wang, Bo Zheng

The Graph Convolutional Network (GCN) and its variants are powerful models for graph representation learning and have recently achieved great success on many graph-based applications.

Graph Representation Learning

A Minimax Game for Instance based Selective Transfer Learning

no code implementations1 Jul 2019 Bo wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jung Huang, Bo Zheng, Deng Cai, Jingren Zhou

To the best of our knowledge, this is the first to build a minimax game based model for selective transfer learning.

Transfer Learning

An AMR Aligner Tuned by Transition-based Parser

1 code implementation EMNLP 2018 Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu

In this paper, we propose a new rich resource enhanced AMR aligner which produces multiple alignments and a new transition system for AMR parsing along with its oracle parser.

AMR Parsing POS

The HIT-SCIR System for End-to-End Parsing of Universal Dependencies

no code implementations CONLL 2017 Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu

Our system includes three pipelined components: \textit{tokenization}, \textit{Part-of-Speech} (POS) \textit{tagging} and \textit{dependency parsing}.

Dependency Parsing Information Retrieval +3

Robust 3D Features for Matching between Distorted Range Scans Captured by Moving Systems

no code implementations CVPR 2014 Xiangqi Huang, Bo Zheng, Takeshi Masuda, Katsushi Ikeuchi

Our feature description is designed as two steps: 1) we normalize the detected local regions to canonical shapes for robust matching; 2) we encode each key point with multiple vectors at different Morse function values.

3D Reconstruction

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