no code implementations • 29 Jan 2025 • Xiaobei Wang, Shuchang Liu, Qingpeng Cai, Xiang Li, Lantao Hu, Han Li, Guangming Xie
Recent advances in recommender systems have shown that user-system interaction essentially formulates long-term optimization problems, and online reinforcement learning can be adopted to improve recommendation performance.
1 code implementation • 23 Jan 2025 • Han Li, Shaohui Li, Wenrui Dai, Maida Cao, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong
On such basis, we propose a linear auxiliary transform (AuxT) to disentangle energy compaction in training nonlinear transforms.
no code implementations • 14 Jan 2025 • Zhongxiang Sun, QiPeng Wang, Weijie Yu, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Song Yang, Han Li
ReARTeR addresses three core challenges: (1) misalignment between PRM and PEM, tackled through off-policy preference learning; (2) bias in PRM training data, mitigated by balanced annotation methods and stronger annotations for challenging examples; and (3) early-step bias in PRM, resolved through a temporal-difference-based look-ahead search strategy.
no code implementations • 28 Dec 2024 • Hongxu Ma, Kai Tian, Tao Zhang, Xuefeng Zhang, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou
Continuous value prediction (CVP) plays a crucial role in short video recommendation, capturing user preferences through precise numerical estimations.
no code implementations • 30 Nov 2024 • Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang
Recently, Neural Combinatorial Optimization (NCO), which involves training deep learning models on extensive data to learn vehicle routing heuristics, has emerged as a promising approach due to its efficiency and the reduced need for manual algorithm design.
no code implementations • 13 Nov 2024 • Jianing Zhou, Han Li, Shuai Zhang, Ning Xie, Ruijie Wang, Xiaohan Nie, Sheng Liu, Lingyun Wang
Remarkably, our model enhances inference efficiency for high-resolution images and high-frame-rate videos by about 4 times compared to current models, with efficiency gains increasing as image resolution or video frames rise.
1 code implementation • 28 Oct 2024 • Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang song, Defu Lian, Kun Gai
Industrial recommendation systems (RS) rely on the multi-stage pipeline to balance effectiveness and efficiency when delivering items from a vast corpus to users.
1 code implementation • 23 Oct 2024 • Yujia Li, Han Li, ans S. Kevin Zhou
Yet, such queries require counterfactual medical images, not obtainable through standard image synthesis models.
no code implementations • 22 Oct 2024 • Chang Meng, Chenhao Zhai, Xueliang Wang, Shuchang Liu, Xiaoqiang Feng, Lantao Hu, Xiu Li, Han Li, Kun Gai
These two modules work together to dynamically identify and targeting specific user groups and applying treatments effectively.
1 code implementation • 18 Oct 2024 • Kang Chen, Shijun Yan, Aiwen Jiang, Han Li, Zhifeng Wang
benchmark dataset and our constructed dataset VABD have demonstrated that the customized focal plane together aperture prompt can bootstrap model to simulate realistic bokeh effect.
no code implementations • 15 Oct 2024 • Zhongxiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang song, Han Li
We discover hallucinations occur when the Knowledge FFNs in LLMs overemphasize parametric knowledge in the residual stream, while Copying Heads fail to effectively retain or integrate external knowledge from retrieved content.
no code implementations • 9 Sep 2024 • Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
In order to achieve mutual enhancement between the two components, we propose a recommendation-oriented alignment approach by devising two specific optimization objectives: sequence-item alignment and preference-semantic alignment.
no code implementations • 6 Aug 2024 • Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li
While Automatic Speech Recognition (ASR) text derived from the short or live-stream videos is readily accessible, how to de-noise the excessively noisy text for multimodal representation learning is mostly untouched.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
1 code implementation • 23 Jul 2024 • Xiaowan Hu, Yiyi Chen, Yan Li, Minquan Wang, Haoqian Wang, Quan Chen, Han Li, Peng Jiang
The LPR task encompasses three primary dilemmas in real-world scenarios: 1) the recognition of intended products from distractor products present in the background; 2) the video-image heterogeneity that the appearance of products showcased in live streams often deviates substantially from standardized product images in stores; 3) there are numerous confusing products with subtle visual nuances in the shop.
no code implementations • 14 Jul 2024 • Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li
In recent years, graph contrastive learning (GCL) has received increasing attention in recommender systems due to its effectiveness in reducing bias caused by data sparsity.
1 code implementation • 13 Jul 2024 • Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong
Image compression for machine and human vision (ICMH) has gained increasing attention in recent years.
no code implementations • 27 Jun 2024 • Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai
MEDA minimizes overfitting by reducing the dependency of the embedding layer on subsequent training data or the Multi-Layer Perceptron (MLP) layers, and achieves data augmentation through training the MLP with varied embedding spaces.
no code implementations • 14 Jun 2024 • Wenhui Yu, Chao Feng, Yanze Zhang, Lantao Hu, Peng Jiang, Han Li
The lifelong user behavior sequence provides abundant information of user preference and gains impressive improvement in the recommendation task, however increases computational consumption significantly.
2 code implementations • 11 Jun 2024 • Jinyuan Li, Ziyan Li, Han Li, Jianfei Yu, Rui Xia, Di Sun, Gang Pan
Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions.
Ranked #1 on
Segmented Multimodal Named Entity Recognition
on Twitter-SMNER
(using extra training data)
Grounded Multimodal Named Entity Recognition
named-entity-recognition
+7
1 code implementation • 10 Jun 2024 • Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Recommender systems aim to fulfill the user's daily demands.
no code implementations • 6 Jun 2024 • Ruipu Wu, Jifei Che, Han Li, Chengjing Wu, Ting Liu, Luoqi Liu
Video panoptic segmentation is an advanced task that extends panoptic segmentation by applying its concept to video sequences.
1 code implementation • 5 Jun 2024 • Han Li, Zehao Huang, Zitian Wang, Wenge Rong, Naiyan Wang, Si Liu
3D lane detection and topology reasoning are essential tasks in autonomous driving scenarios, requiring not only detecting the accurate 3D coordinates on lane lines, but also reasoning the relationship between lanes and traffic elements.
no code implementations • 11 May 2024 • Shengyuan Liu, Bo wang, Ye Ma, Te Yang, Xipeng Cao, Quan Chen, Han Li, Di Dong, Peng Jiang
Furthermore, we propose a novel metric GroundingScore to evaluate subject alignment thoroughly.
1 code implementation • 7 May 2024 • Jian Jia, Yipei Wang, Yan Li, Honggang Chen, Xuehan Bai, Zhaocheng Liu, Jian Liang, Quan Chen, Han Li, Peng Jiang, Kun Gai
Contemporary recommendation systems predominantly rely on ID embedding to capture latent associations among users and items.
no code implementations • 3 May 2024 • Peilun Zhou, Xiaoxiao Xu, Lantao Hu, Han Li, Peng Jiang
Recommender selects and presents top-K items to the user at each online request, and a recommendation session consists of several sequential requests.
no code implementations • 2 May 2024 • Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi, Tiago Fonseca, Giuseppe Pinto, Dipanjan Ghose, Satvik Duddukuru, Pavani Pratapa, Han Li, Javad Mohammadi, Luis Lino Ferreira, Tianzhen Hong, Mohamed Ouf, Alfonso Capozzoli, Zoltan Nagy
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant behavioral differences on their effectiveness, as well as identify the best control strategies to accelerate their real-world adoption.
1 code implementation • 9 Apr 2024 • Xiuqi Deng, Lu Xu, Xiyao Li, Jinkai Yu, Erpeng Xue, Zhongyuan Wang, Di Zhang, Zhaojie Liu, Guorui Zhou, Yang song, Na Mou, Shen Jiang, Han Li
In this paper, we propose an industrial multimodal recommendation framework named EM3: End-to-end training of Multimodal Model and ranking Model, which sufficiently utilizes multimodal information and allows personalized ranking tasks to directly train the core modules in the multimodal model to obtain more task-oriented content features, without overburdening resource consumption.
no code implementations • CVPR 2024 • Hongwei Zheng, Linyuan Zhou, Han Li, Jinming Su, Xiaoming Wei, Xiaoming Xu
To this end, this paper introduces the Balanced and Entropy-based Mix (BEM), a pioneering mixing approach to re-balance the class distribution of both data quantity and uncertainty.
no code implementations • 15 Mar 2024 • Dongze Hao, Jian Jia, Longteng Guo, Qunbo Wang, Te Yang, Yan Li, Yanhua Cheng, Bo wang, Quan Chen, Han Li, Jing Liu
We condense the retrieved knowledge passages from two perspectives.
no code implementations • 11 Mar 2024 • Mingyue Zhao, Han Li, Li Fan, Shiyuan Liu, Xiaolan Qiu, S. Kevin Zhou
Then, we construct a geometry-aware dual-path propagation framework (GDP) to further promote complementary propagation learning, composed of hard geometry-aware propagation learning and soft geometry-aware propagation guidance.
no code implementations • 25 Feb 2024 • Zihan Liu, Han Li, Anfan Chen, Renwen Zhang, Yi-chieh Lee
We find Chinese participants tended to view CAs hedonically, perceived voice-based and physically embodied CAs as warmer and more competent, and generally expressed positive emotions.
2 code implementations • 15 Feb 2024 • Jinyuan Li, Han Li, Di Sun, Jiahao Wang, Wenkun Zhang, Zan Wang, Gang Pan
Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions.
Ranked #1 on
Grounded Multimodal Named Entity Recognition
on Twitter-GMNER
(using extra training data)
Grounded Multimodal Named Entity Recognition
Multi-modal Named Entity Recognition
+8
no code implementations • 5 Feb 2024 • Chi Truong, Matteo Malavasi, Han Li, Stefan Trueck, Pavel V. Shevchenko
We model the severity of extreme sea level events using the block maxima approach from extreme value theory, and then develop a real options framework, factoring in climate change, sea level rise uncertainty, and the growth in asset exposure.
1 code implementation • 3 Feb 2024 • Han Li, Yukai Ma, Yuehao Huang, Yaqing Gu, Weihua Xu, Yong liu, Xingxing Zuo
Dense depth recovery is crucial in autonomous driving, serving as a foundational element for obstacle avoidance, 3D object detection, and local path planning.
1 code implementation • 29 Jan 2024 • Xiaobei Wang, Shuchang Liu, Xueliang Wang, Qingpeng Cai, Lantao Hu, Han Li, Peng Jiang, Kun Gai, Guangming Xie
Furthermore, we show that a reward-based future decomposition strategy can better express the item-wise future impact and improve the recommendation accuracy in the long term.
no code implementations • 26 Jan 2024 • Yipin Lei, Xu Wang, Meng Fang, Han Li, Xiang Li, Jianyang Zeng
In summary, our proposed frameworks can serve as potent tools to facilitate peptide early drug discovery.
1 code implementation • 9 Jan 2024 • Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong liu, Xingxing Zuo
To circumvent this issue, we learn to augment versatile and robust monocular depth prediction with the dense metric scale induced from sparse and noisy Radar data.
1 code implementation • 1 Jan 2024 • Kaibin Tian, Yanhua Cheng, Yi Liu, Xinglin Hou, Quan Chen, Han Li
To address this issue, we adopt multi-granularity visual feature learning, ensuring the model's comprehensiveness in capturing visual content features spanning from abstract to detailed levels during the training phase.
Ranked #7 on
Video Retrieval
on MSR-VTT-1kA
no code implementations • 21 Nov 2023 • Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou
We further propose a Padding Token Constraint (PTC) to leverage the semantic information embedded in previously neglected padding tokens, improving the consistency between object appearance and layout instructions.
1 code implementation • 25 Oct 2023 • Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Learned image compression (LIC) has gained traction as an effective solution for image storage and transmission in recent years.
no code implementations • 16 Oct 2023 • Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai
Concretely, we employ multi-task learning to adaptively combine the optimization of relaxed and full targets, which refers to metrics Recall@m@k and OPA respectively.
1 code implementation • 12 Oct 2023 • Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, Greg Ver Steeg
For diffusion models, we show that a natural non-negative decomposition of mutual information emerges, allowing us to quantify informative relationships between words and pixels in an image.
no code implementations • 18 Sep 2023 • Shaofei Huang, Han Li, Yuqing Wang, Hongji Zhu, Jiao Dai, Jizhong Han, Wenge Rong, Si Liu
Explicit object-level semantic correspondence between audio and visual modalities is established by gathering object information from visual features with predefined audio queries.
1 code implementation • ICCV 2023 • Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li
It is the first dataset to cover product pages, short videos, and live streams simultaneously, providing the basis for establishing a unified product representation across different media domains.
1 code implementation • ICCV 2023 • Wenjie Yang, Yiyi Chen, Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li
Moreover, a cRoss-vIew semantiC alignmEnt (RICE) model is proposed to learn discriminative instance features from the image and video views of the products.
no code implementations • 18 Jul 2023 • Hongwei Zheng, Han Li, Bowen Shi, Wenrui Dai, Botao Wan, Yu Sun, Min Guo, Hongkai Xiong
Recent 2D-to-3D human pose estimation (HPE) utilizes temporal consistency across sequences to alleviate the depth ambiguity problem but ignore the action related prior knowledge hidden in the pose sequence.
no code implementations • 14 Jul 2023 • Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li
Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception.
no code implementations • 10 Jun 2023 • Xiaoyang Hao, Han Li, Jun Cheng, Lei Wang
However, these methods present rotation semantic ambiguity, rotation error accumulation, and shape estimation overfitting, which also leads to errors in the estimated pose.
no code implementations • 31 May 2023 • Zhaocheng Liu, Zhongxiang Fan, Jian Liang, Dongying Kong, Han Li
However, it is still unknown whether a multi-epoch training paradigm could achieve better results, as the best performance is usually achieved by one-epoch training.
1 code implementation • 20 May 2023 • Jinyuan Li, Han Li, Zhuo Pan, Di Sun, Jiahao Wang, Wenkun Zhang, Gang Pan
However, these methods either neglect the necessity of providing the model with external knowledge, or encounter issues of high redundancy in the retrieved knowledge.
Ranked #1 on
Multi-modal Named Entity Recognition
on Twitter-2017
(using extra training data)
Multi-modal Named Entity Recognition
named-entity-recognition
+1
no code implementations • 7 May 2023 • Zhen Huang, Han Li, Shitong Shao, Heqin Zhu, Huijie Hu, Zhiwei Cheng, Jianji Wang, S. Kevin Zhou
The pelvis, the lower part of the trunk, supports and balances the trunk.
no code implementations • 28 Mar 2023 • Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou
But they are still ineffective for ULD due to the insufficient training targets.
no code implementations • 15 Feb 2023 • Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenlin Li, Junni Zou, Hongkai Xiong
There has been a recent surge of interest in introducing transformers to 3D human pose estimation (HPE) due to their powerful capabilities in modeling long-term dependencies.
2 code implementations • 13 Feb 2023 • Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
This paper presents the CholecTriplet2022 challenge, which extends surgical action triplet modeling from recognition to detection.
Ranked #1 on
Action Triplet Detection
on CholecT50 (Challenge)
no code implementations • 9 Feb 2023 • Han Li, Hu Han, S. Kevin Zhou
Most SCL methods commonly adopt a loss-based strategy of estimating data difficulty and deweighting the `hard' samples in the early training stage.
no code implementations • 27 Sep 2022 • Zikang Xu, Jun Li, Qingsong Yao, Han Li, Mingyue Zhao, S. Kevin Zhou
We introduce the basics of group fairness and subsequently categorize studies on fair MedIA into fairness evaluation and unfairness mitigation.
1 code implementation • 19 Aug 2022 • Yaosen Min, Ye Wei, Peizhuo Wang, Xiaoting Wang, Han Li, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Ji Wu, Dan Zhao, Jianyang Zeng
Here, an MD dataset containing 3, 218 different protein-ligand complexes is curated, and Dynaformer, a graph-based deep learning model is further developed to predict the binding affinities by learning the geometric characteristics of the protein-ligand interactions from the MD trajectories.
1 code implementation • 2 Jun 2022 • Han Li, Dan Zhao, Jianyang Zeng
In this paper, we argue that there exist two major issues hindering current self-supervised learning methods from obtaining desired performance on molecular property prediction, that is, the ill-defined pre-training tasks and the limited model capacity.
Graph Representation Learning
Molecular Property Prediction
+3
no code implementations • 13 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.
no code implementations • 11 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.
no code implementations • 30 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.
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.
1 code implementation • 6 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.
1 code implementation • 23 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.
Ranked #44 on
3D Human Pose Estimation
on MPI-INF-3DHP
(AUC metric)
no code implementations • 22 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.
1 code implementation • Proceedings of the VLDB Endowment 2021 • Saravanan Thirumuruganathan, Han Li, Nan Tang, Mourad Ouzzani, Yash Govind, Derek Paulsen, Glenn Fung, AnHai Doan
In this paper, we develop the DeepBlocker framework that significantly advances the state of the art in applying DL to blocking for EM.
Ranked #5 on
Blocking
on Abt-Buy
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.
no code implementations • 23 Mar 2021 • Han Li, Long Chen, Hu Han, S. Kevin Zhou
Universal Lesion Detection (ULD) in computed tomography plays an essential role in computer-aided diagnosis.
Ranked #3 on
Medical Object Detection
on DeepLesion
no code implementations • 4 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
Automatic Speech Recognition (ASR)
+3
no code implementations • 27 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
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.
no code implementations • 3 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.
no code implementations • 20 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.
no code implementations • 18 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.
no code implementations • 8 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.
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.
no code implementations • ICML 2020 • Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, Han Li, Jian Xu, Kun Gai
In E-commerce, advertising is essential for merchants to reach their target users.
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.
no code implementations • 9 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.
1 code implementation • 16 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.
no code implementations • 19 Aug 2019 • Dagui Chen, Junqi Jin, Wei-Nan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai
We refer to this process as Leverage.
no code implementations • 21 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.
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.
no code implementations • NAACL 2019 • Han Li, JIhwan Lee, Sidharth Mudgal, Ruhi Sarikaya, Young-Bum Kim
This is a major component in mainstream IPDAs in industry.
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.
no code implementations • 10 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?
1 code implementation • SIGMOD: International Conference on Management of Data 2018 • Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan, Youngchoon Park, Ganesh Krishnan, Rohit Deep, Esteban Arcaute, Vijay Raghavendra
Entity matching (EM) finds data instances that refer to the same real-world entity.
Ranked #9 on
Entity Resolution
on Amazon-Google
no code implementations • 27 Feb 2018 • Junqi Jin, Chengru Song, Han Li, Kun Gai, Jun Wang, Wei-Nan Zhang
Real-time advertising allows advertisers to bid for each impression for a visiting user.
6 code implementations • 8 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.
no code implementations • 29 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
18 code implementations • 21 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.
Ranked #1 on
Click-Through Rate Prediction
on Amazon
3 code implementations • 18 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.
no code implementations • 27 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.