Search Results for author: Ting Zhang

Found 51 papers, 24 papers with code

A Theoretical Review on Solving Algebra Problems

no code implementations29 Oct 2024 Xinguo Yu, Weina Cheng, Chuanzhi Yang, Ting Zhang

The STT, thus, lays the theoretical basis for a new framework for reviewing algorithms.

Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration

no code implementations8 Sep 2024 Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao

This study introduces a machine learning-based framework to predict key genes that are strongly correlated with lesion severity and to identify potential therapeutic targets to prevent subretinal fibrosis in AMD.

Dimensionality Reduction Drug Discovery +1

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation

no code implementations6 Mar 2024 Ting Zhang, Hao Zhou, Hainan Wu, Hanwen Sunchu, Lei Hu, Xiaofang Chen, Suyuan Zhao, Gaochao liu, Chao Sun, Jiahuan Zhang, Yizhen Luo, Peng Liu, Zaiqing Nie, Yushuai Wu

The fields of therapeutic application and drug research and development (R&D) both face substantial challenges, i. e., the therapeutic domain calls for more treatment alternatives, while numerous promising pre-clinical drugs have failed in clinical trials.

Customize-It-3D: High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior

no code implementations15 Dec 2023 Nan Huang, Ting Zhang, Yuhui Yuan, Dong Chen, Shanghang Zhang

In this paper, we present a novel two-stage approach that fully utilizes the information provided by the reference image to establish a customized knowledge prior for image-to-3D generation.

3D Generation Image to 3D +1

Model-enhanced Vector Index

1 code implementation NeurIPS 2023 Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

We empirically show that our model achieves better performance on the commonly used academic benchmarks MSMARCO Passage and Natural Questions, with comparable serving latency to dense retrieval solutions.

Natural Questions Quantization +1

RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework

no code implementations16 Sep 2023 Yuelei Wang, Ting Zhang, Liangjin Zhao, Lin Hu, Zhechao Wang, Ziqing Niu, Peirui Cheng, Kaiqiang Chen, Xuan Zeng, Zhirui Wang, Hongqi Wang, Xian Sun

It is combined by the Transformer module as a low-pass filter to extract global features of RS images through a dual-branch structure, and the CNN module as a stacked high-pass filter to extract fine-grained details effectively.

Striking The Right Balance: Three-Dimensional Ocean Sound Speed Field Reconstruction Using Tensor Neural Networks

1 code implementation9 Aug 2023 Siyuan Li, Lei Cheng, Ting Zhang, Hangfang Zhao, Jianlong Li

Accurately reconstructing a three-dimensional ocean sound speed field (3D SSF) is essential for various ocean acoustic applications, but the sparsity and uncertainty of sound speed samples across a vast ocean region make it a challenging task.

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing

1 code implementation11 Jun 2023 Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian

It is a challenging task since the recognition of the emotion in one utterance involves many complex factors, such as the conversational context, the speaker's background, and the subtle difference between emotion labels.

Emotion Recognition in Conversation

A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies

no code implementations18 Apr 2023 Li Jiang, Ting Zhang, Qiruyi Zuo, Chenyu Tian, George P. Chan, Wai Kin, Chan

Spatiotemporal (ST) data collected by sensors can be represented as multi-variate time series, which is a sequence of data points listed in an order of time.

Imputation Time Series +1

XAIR: A Framework of Explainable AI in Augmented Reality

no code implementations28 Mar 2023 Xuhai Xu, Mengjie Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, Paul Sorenson, Sophie Kahyun Kim, Hrvoje Benko

The framework was based on a multi-disciplinary literature review of XAI and HCI research, a large-scale survey probing 500+ end-users' preferences for AR-based explanations, and three workshops with 12 experts collecting their insights about XAI design in AR.

Explainable Artificial Intelligence (XAI)

IRGen: Generative Modeling for Image Retrieval

1 code implementation17 Mar 2023 Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo

While generative modeling has become prevalent across numerous research fields, its integration into the realm of image retrieval remains largely unexplored and underjustified.

Image Retrieval Retrieval

CLIP Itself is a Strong Fine-tuner: Achieving 85.7% and 88.0% Top-1 Accuracy with ViT-B and ViT-L on ImageNet

1 code implementation12 Dec 2022 Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Shuyang Gu, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

Recent studies have shown that CLIP has achieved remarkable success in performing zero-shot inference while its fine-tuning performance is not satisfactory.

Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion

no code implementations CVPR 2023 Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo

This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.

Computational Efficiency

3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation

1 code implementation12 Sep 2022 Junshu Tang, Bo Zhang, Binxin Yang, Ting Zhang, Dong Chen, Lizhuang Ma, Fang Wen

In contrast to the traditional avatar creation pipeline which is a costly process, contemporary generative approaches directly learn the data distribution from photographs.

3D Face Animation Disentanglement +3

MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining

no code implementations CVPR 2023 Xiaoyi Dong, Jianmin Bao, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

Second, masked self-distillation is also consistent with vision-language contrastive from the perspective of training objective as both utilize the visual encoder for feature aligning, and thus is able to learn local semantics getting indirect supervision from the language.

Representation Learning

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

1 code implementation14 Jul 2022 Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

The first design is motivated by the observation that using a pretrained MAE to extract the features as the BERT prediction target for masked tokens can achieve better pretraining performance.

Decoder Object Detection +2

MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentation

1 code implementation7 Apr 2022 Ting Zhang, Jun Li, Yi Zhao, Nan Chen, Han Zhou, Hongtao Xu, Zihao Guan, Changcai Yang, Lanyan Xue, Riqing Chen, Lifang Wei

The proposed network structure retains three layers the essential structure of U-Net, in which the atrous convolution combining the multi-kernel pooling blocks are designed to obtain more contextual information.

Segmentation

Semi-Supervised Image-to-Image Translation using Latent Space Mapping

no code implementations29 Mar 2022 Pan Zhang, Jianmin Bao, Ting Zhang, Dong Chen, Fang Wen

Thanks to the low dimensional feature space, it is easier to find the desired mapping function, resulting in improved quality of translation results as well as the stability of the translation model.

Image-to-Image Translation Translation

Protecting Celebrities from DeepFake with Identity Consistency Transformer

1 code implementation CVPR 2022 Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo

In this work we propose Identity Consistency Transformer, a novel face forgery detection method that focuses on high-level semantics, specifically identity information, and detecting a suspect face by finding identity inconsistency in inner and outer face regions.

Face Swapping

Automatically Generating Counterfactuals for Relation Classification

no code implementations22 Feb 2022 Mi Zhang, Tieyun Qian, Ting Zhang

In this paper, we formulate the problem of automatically generating CAD for RC tasks from an entity-centric viewpoint, and develop a novel approach to derive contextual counterfactuals for entities.

Classification Relation +1

General Facial Representation Learning in a Visual-Linguistic Manner

2 code implementations CVPR 2022 Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen

In this paper, we study the transfer performance of pre-trained models on face analysis tasks and introduce a framework, called FaRL, for general Facial Representation Learning in a visual-linguistic manner.

 Ranked #1 on Face Parsing on CelebAMask-HQ (using extra training data)

Face Alignment Face Parsing +1

Modeling label correlations implicitly through latent label encodings for multi-label text classification

no code implementations29 Sep 2021 Zhizhong Zeng, Yufen Liu, Wenpeng Gao, Baihong Li, Ting Zhang, Xinguo Yu, Zongkai Yang

Specifically, the proposed method concatenates a set of latent labels (instead of actual labels) to the text tokens, inputs them to BERT, then maps the contextual encodings of these latent labels to actual labels cooperatively.

Inductive Bias Multi Label Text Classification +3

Robust Mutual Learning for Semi-supervised Semantic Segmentation

no code implementations1 Jun 2021 Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen

The proposed robust mutual learning demonstrates state-of-the-art performance on semantic segmentation in low-data regime.

Pseudo Label Semi-Supervised Semantic Segmentation

Probabilistic K-means Clustering via Nonlinear Programming

no code implementations10 Jan 2020 Yujian Li, Bowen Liu, Zhaoying Liu, Ting Zhang

In theory, we can solve the model by active gradient projection, while inefficiently.

Clustering

Face X-ray for More General Face Forgery Detection

4 code implementations CVPR 2020 Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo

For this reason, face X-ray provides an effective way for detecting forgery generated by most existing face manipulation algorithms.

DeepFake Detection Face Swapping

Multiresolution Graph Attention Networks for Relevance Matching

no code implementations27 Feb 2019 Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

In this paper, we are especially interested in relevance matching between a piece of short text and a long document, which is critical to problems like query-document matching in information retrieval and web searching.

Graph Attention Information Retrieval +4

Collaborative Quantization for Cross-Modal Similarity Search

no code implementations CVPR 2016 Ting Zhang, Jingdong Wang

Cross-modal similarity search is a problem about designing a search system supporting querying across content modalities, e. g., using an image to search for texts or using a text to search for images.

Quantization

Hierarchical Reinforcement Learning for Multi-agent MOBA Game

no code implementations23 Jan 2019 Zhijian Zhang, Haozheng Li, Luo Zhang, Tianyin Zheng, Ting Zhang, Xiong Hao, Xiaoxin Chen, Min Chen, Fangxu Xiao, Wei Zhou

Real Time Strategy (RTS) games require macro strategies as well as micro strategies to obtain satisfactory performance since it has large state space, action space, and hidden information.

Hierarchical Reinforcement Learning Imitation Learning +4

Interleaved Structured Sparse Convolutional Neural Networks

no code implementations CVPR 2018 Guotian Xie, Jingdong Wang, Ting Zhang, Jian-Huang Lai, Richang Hong, Guo-Jun Qi

In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels.

IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

2 code implementations17 Apr 2018 Guotian Xie, Jingdong Wang, Ting Zhang, Jian-Huang Lai, Richang Hong, Guo-Jun Qi

In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels.

Matching Natural Language Sentences with Hierarchical Sentence Factorization

no code implementations1 Mar 2018 Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

The proposed sentence factorization technique leads to the invention of: 1) a new unsupervised distance metric which calculates the semantic distance between a pair of text snippets by solving a penalized optimal transport problem while preserving the logical relationship of words in the reordered sentences, and 2) new multi-scale deep learning models for supervised semantic training, based on factorized sentence hierarchies.

Deep Learning Paraphrase Identification +1

Composite Quantization

1 code implementation4 Dec 2017 Jingdong Wang, Ting Zhang

We introduce a composite quantization framework.

Quantization

A concatenating framework of shortcut convolutional neural networks

no code implementations3 Oct 2017 Yujian Li, Ting Zhang, Zhaoying Liu, Haihe Hu

It is well accepted that convolutional neural networks play an important role in learning excellent features for image classification and recognition.

Classification Gender Classification +4

Interleaved Group Convolutions

no code implementations ICCV 2017 Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang

The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution.

Interleaved Group Convolutions for Deep Neural Networks

2 code implementations10 Jul 2017 Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang

The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution.

A Survey on Learning to Hash

no code implementations1 Jun 2016 Jingdong Wang, Ting Zhang, Jingkuan Song, Nicu Sebe, Heng Tao Shen

In this paper, we present a comprehensive survey of the learning to hash algorithms, categorize them according to the manners of preserving the similarities into: pairwise similarity preserving, multiwise similarity preserving, implicit similarity preserving, as well as quantization, and discuss their relations.

Quantization Survey

Deeply-Fused Nets

2 code implementations25 May 2016 Jingdong Wang, Zhen Wei, Ting Zhang, Wen-Jun Zeng

Second, in our suggested fused net formed by one deep and one shallow base networks, the flows of the information from the earlier intermediate layer of the deep base network to the output and from the input to the later intermediate layer of the deep base network are both improved.

Sparse Composite Quantization

no code implementations CVPR 2015 Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang

The benefit is that the distance evaluation between the query and the dictionary element (a sparse vector) is accelerated using the efficient sparse vector operation, and thus the cost of distance table computation is reduced a lot.

Quantization Retrieval

Latent Feature Based FM Model For Rating Prediction

no code implementations29 Oct 2014 Xudong Liu, Bin Zhang, Ting Zhang, Chang Liu

Rating Prediction is a basic problem in Recommender System, and one of the most widely used method is Factorization Machines(FM).

Recommendation Systems

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