Search Results for author: Han Li

Found 35 papers, 9 papers with code

SATr: Slice Attention with Transformer for Universal Lesion Detection

no code implementations13 Mar 2022 Han Li, Long Chen, Hu Han, S. Kevin Zhou

Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis.

Lesion Detection

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

no code implementations11 Mar 2022 Zhuoran Song, Yihong Xu, Han Li, Naifeng Jing, Xiaoyao Liang, Li Jiang

The training phases of Deep neural network~(DNN) consumes enormous processing time and energy.

MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds

no code implementations30 Jan 2022 Chuanyu Luo, Xiaohan Li, Nuo Cheng, Han Li, Shengguang Lei, Pu Li

The pipeline of most pointwise point cloud semantic segmentation methods includes points sampling, neighbor searching, feature aggregation, and classification.

Autonomous Driving Semantic Segmentation

Pareto Domain Adaptation

1 code implementation NeurIPS 2021 Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

Domain adaptation (DA) attempts to transfer the knowledge from a labeled source domain to an unlabeled target domain that follows different distribution from the source.

Domain Adaptation Image Classification +2

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

1 code implementation6 Dec 2021 Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li

Challenges of the problem include 1) how to align large-scale entities between sources to share information and 2) how to mitigate negative transfer from joint learning multi-source data.

Hierarchical Graph Networks for 3D Human Pose Estimation

no code implementations23 Nov 2021 Han Li, Bowen Shi, Wenrui Dai, Yabo Chen, Botao Wang, Yu Sun, Min Guo, Chenlin Li, Junni Zou, Hongkai Xiong

Recent 2D-to-3D human pose estimation works tend to utilize the graph structure formed by the topology of the human skeleton.

3D Human Pose Estimation

Context-aware Tree-based Deep Model for Recommender Systems

no code implementations22 Sep 2021 Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu

Vertically, a parent fusion layer is designed in M to transmit the user preference representation in higher levels of T to the current level, grasping the essence that tree-based methods are generating the candidate set from coarse to detail during the beam search retrieval.

Recommendation Systems

Learning Slice-Aware Representations with Mixture of Attentions

no code implementations Findings (ACL) 2021 Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim, Ruhi Sarikaya

Real-world machine learning systems are achieving remarkable performance in terms of coarse-grained metrics like overall accuracy and F-1 score.

Natural Language Understanding

Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration

no code implementations4 Mar 2021 Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

Ensuring model robustness or resilience in the skill routing component is an important problem since skills may dynamically change their subscription in the ontology after the skill routing model has been deployed to production.

Automatic Speech Recognition Data Augmentation +1

Phase Diagram of Triangular Lattice Quantum Ising Model under External Field

no code implementations27 Jan 2021 Yuan Da Liao, Han Li, Zheng Yan, Hao-Tian Wei, Wei Li, Yang Qi, Zi Yang Meng

Quantum Ising model on a triangular lattice hosts a finite temperature Berezinskii-Kosterlitz-Thouless (BKT) phase with emergent U(1) symmetry, and it will transit into an up-up-down (UUD) phase with $C_3$ symmetry breaking upon an infinitesimal external field along the longitudinal direction, but the overall phase diagram spanned by the axes of external field and temperature remains opaque due to the lack of systematic invesitgations with controlled methodologies.

Strongly Correlated Electrons Statistical Mechanics

A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems

no code implementations EMNLP 2021 Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

Natural Language Understanding (NLU) is an established component within a conversational AI or digital assistant system, and it is responsible for producing semantic understanding of a user request.

Natural Language Understanding

Learning to Infer User Hidden States for Online Sequential Advertising

no code implementations3 Sep 2020 Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Wei-Nan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

To drive purchase in online advertising, it is of the advertiser's great interest to optimize the sequential advertising strategy whose performance and interpretability are both important.

reinforcement-learning

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

no code implementations20 Aug 2020 Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai

For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure on advertising constitutes a primary source of platform revenue.

Bounding Maps for Universal Lesion Detection

no code implementations18 Jul 2020 Han Li, Hu Han, S. Kevin Zhou

The bounding maps (BMs) are used in two-stage anchor-based ULD frameworks to reduce the FP rate.

Lesion Detection Region Proposal

The Statistical Characteristics of Power-Spectrum Subband Energy Ratios under Additive Gaussian White Noise

no code implementations8 Jul 2020 Han Li, Yanzhu Hu, Song Wang, Zhen Meng

When Gaussian white noise was mixed with the known signal, the resulting PSER followed a doubly non-central beta distribution.

Handling Rare Entities for Neural Sequence Labeling

no code implementations ACL 2020 Yangming Li, Han Li, Kaisheng Yao, Xiaolong Li

One great challenge in neural sequence labeling is the data sparsity problem for rare entity words and phrases.

Learning Optimal Tree Models Under Beam Search

1 code implementation ICML 2020 Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai

Retrieving relevant targets from an extremely large target set under computational limits is a common challenge for information retrieval and recommendation systems.

Information Retrieval Recommendation Systems

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

no code implementations9 May 2020 Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

Bipartite b-matching is fundamental in algorithm design, and has been widely applied into economic markets, labor markets, etc.

Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition

1 code implementation16 Sep 2019 Zeju Li, Han Li, Hu Han, Gonglei Shi, Jiannan Wang, S. Kevin Zhou

We hereby propose a decomposition generative adversarial network (DecGAN) to anatomically decompose a CXR image but with unpaired data.

Disentanglement

Spectral-based Graph Convolutional Network for Directed Graphs

no code implementations21 Jul 2019 Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen

Our approach can work directly on directed graph data in semi-supervised nodes classification tasks.

Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features

no code implementations NAACL 2019 Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin

Consumers dissatisfied with the normal dispute resolution process provided by an e-commerce company{'}s customer service agents have the option of escalating their complaints by filing grievances with a government authority.

Joint Optimization of Tree-based Index and Deep Model for Recommender Systems

1 code implementation NeurIPS 2019 Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai

The previous work Tree-based Deep Model (TDM) \cite{zhu2018learning} greatly improves recommendation accuracy using tree index.

Recommendation Systems

Learning Adaptive Display Exposure for Real-Time Advertising

no code implementations10 Sep 2018 Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Wei-Nan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai

In this paper, we investigate the problem of advertising with adaptive exposure: can we dynamically determine the number and positions of ads for each user visit under certain business constraints so that the platform revenue can be increased?

Learning Tree-based Deep Model for Recommender Systems

4 code implementations8 Jan 2018 Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai

In systems with large corpus, however, the calculation cost for the learnt model to predict all user-item preferences is tremendous, which makes full corpus retrieval extremely difficult.

Recommendation Systems

Toward a System Building Agenda for Data Integration

no code implementations29 Sep 2017 AnHai Doan, Adel Ardalan, Jeffrey R. Ballard, Sanjib Das, Yash Govind, Pradap Konda, Han Li, Erik Paulson, Paul Suganthan G. C., Haojun Zhang

They provide tools to address the "pain points" of the steps, and tools are built on top of the Python data science and Big Data ecosystem (PyData).

Databases

Deep Interest Network for Click-Through Rate Prediction

16 code implementations21 Jun 2017 Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

In this way, user features are compressed into a fixed-length representation vector, in regardless of what candidate ads are.

Click-Through Rate Prediction

Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction

2 code implementations18 Apr 2017 Kun Gai, Xiaoqiang Zhu, Han Li, Kai Liu, Zhe Wang

CTR prediction in real-world business is a difficult machine learning problem with large scale nonlinear sparse data.

Click-Through Rate Prediction Feature Engineering

Optimized Cost per Click in Taobao Display Advertising

no code implementations27 Feb 2017 Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai

Moreover, the platform has to be responsible for the business revenue and user experience.

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