no code implementations • 6 Mar 2024 • Kaidi Chen, Ben Chen, Dehong Gao, Huangyu Dai, Wen Jiang, Wei Ning, Shanqing Yu, Libin Yang, Xiaoyan Cai
Existing Neural Machine Translation (NMT) models mainly handle translation in the general domain, while overlooking domains with special writing formulas, such as e-commerce and legal documents.
1 code implementation • 6 Feb 2024 • Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning
These neglected non-interaction preferences are especially important for broadening user's interests in alleviating echo chamber/filter bubble effects. Therefore, in this paper, we first define diversity as two distinct definitions, i. e., user-explicit diversity (U-diversity) and user-item non-interaction diversity (N-diversity) based on user historical behaviors.
no code implementations • 15 Jan 2024 • Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang
Recently, a new recommendation scenario, called Trigger-Induced Recommendation (TIR), where users are able to explicitly express their instant interests via trigger items, is emerging as an essential role in many e-commerce platforms, e. g., Alibaba. com and Amazon.
no code implementations • 30 Nov 2023 • ZiYun Wang, Friedhelm Hamann, Kenneth Chaney, Wen Jiang, Guillermo Gallego, Kostas Daniilidis
We present ContinuityCam, a novel approach to generate a continuous video from a single static RGB image, using an event camera.
1 code implementation • 29 Nov 2023 • Wen Jiang, Boshu Lei, Kostas Daniilidis
This study addresses the challenging problem of active view selection and uncertainty quantification within the domain of Radiance Fields.
no code implementations • 10 Feb 2023 • Ben Chen, Linbo Jin, Xinxin Wang, Dehong Gao, Wen Jiang, Wei Ning
Same-style products retrieval plays an important role in e-commerce platforms, aiming to identify the same products which may have different text descriptions or images.
no code implementations • 7 Dec 2022 • Promit Chakroborty, Somayajulu L. N. Dhulipala, Yifeng Che, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Michael D. Shields
The multi-fidelity surrogate is assembled by first applying a Gaussian process correction to each low-fidelity model and assigning a model probability based on the model's local predictive accuracy and cost.
no code implementations • 6 Dec 2022 • Wen Jiang, Kostas Daniilidis
Due to the redundancy of local feature volumes, this tensor completion problem can be further reduced to estimating the canonical factors of the feature volume.
no code implementations • 6 Jan 2022 • Somayajulu L. N. Dhulipala, Michael D. Shields, Promit Chakroborty, Wen Jiang, Benjamin W. Spencer, Jason D. Hales, Vincent M. Laboure, Zachary M. Prince, Chandrakanth Bolisetti, Yifeng Che
However, TRISO failure probabilities are small and the associated computational models are expensive.
no code implementations • 4 Mar 2021 • Emad M. Grais, Xiaoya Wang, Jie Wang, Fei Zhao, Wen Jiang, Yuexin Cai, Lifang Zhang, Qingwen Lin, Haidi Yang
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation of WAI results.
1 code implementation • 12 Feb 2021 • Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin
A large number of network embedding methods exist to learn vectorial node representations from general graphs with both homogeneous and heterogeneous node and edge types, including some that can specifically model the distinct properties of bipartite networks.
no code implementations • ICCV 2021 • Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu
Most semi-supervised few-shot learning methods select pseudo-labeled data of unlabeled set by task-specific confidence estimation.
1 code implementation • CIKM 2020 • Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
Then the Multi-Interest Extractor Layer is applied to extract multiple user interests.
1 code implementation • CVPR 2020 • Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis
Our goal is to train a single network that learns to avoid these problems and generate a coherent 3D reconstruction of all the humans in the scene.
Ranked #2 on 3D Human Reconstruction on AGORA
1 code implementation • 1 Apr 2020 • Hansheng Xue, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Yu Lin
It has achieved great success on many tasks of network analysis such as link prediction and node classification.
1 code implementation • CVPR 2020 • Sida Peng, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, Xiaowei Zhou
Based on deep snake, we develop a two-stage pipeline for instance segmentation: initial contour proposal and contour deformation, which can handle errors in object localization.
Ranked #2 on Semantic Contour Prediction on Sbd val
no code implementations • 29 Jan 2019 • Xinyang Deng, Wen Jiang
Probability theory and Dempster-Shafer theory are two germane theories to represent and handle uncertain information.
4 code implementations • CVPR 2019 • Junting Dong, Wen Jiang, Qi-Xing Huang, Hujun Bao, Xiaowei Zhou
This paper addresses the problem of 3D pose estimation for multiple people in a few calibrated camera views.
Ranked #12 on 3D Multi-Person Pose Estimation on Campus
no code implementations • 25 Dec 2017 • Xinyang Deng, Wen Jiang
As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning.
no code implementations • 25 Nov 2017 • Xinyang Deng, Wen Jiang
Within the proposed framework or model, fuzzy set theory is used to model the uncertain evaluations of decision makers to alternatives, the non-exclusiveness among fuzzy evaluations are taken into consideration by using DNT, and the conflict of interests among decision makers is considered in a two-person non-constant sum game theory perspective.
no code implementations • 8 Sep 2017 • Zhiming Huang, Lin Yang, Wen Jiang
Social dilemmas have been regarded as the essence of evolution game theory, in which the prisoner's dilemma game is the most famous metaphor for the problem of cooperation.
no code implementations • 10 May 2017 • Zichang He, Wen Jiang
However, the state is allowed to be uncertain in the EM model before the final decision is made.
no code implementations • 7 May 2017 • Dong Wu, Xiang Liu, Feng Xue, Hanqing Zheng, Yehang Shou, Wen Jiang
In this paper, a new decision making methodology based on Z-numbers is presented.
no code implementations • 17 Apr 2017 • Zichang He, Wen Jiang
Dempster-Shafer evidence theory is wildly applied in multi-sensor data fusion.
no code implementations • 15 Mar 2017 • Xinyang Deng, Wen Jiang
Dempster-Shafer theory of evidence is widely applied to uncertainty modelling and knowledge reasoning because of its advantages in dealing with uncertain information.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
The uncertainty in actions is represented as an extra uncertainty state.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
The new belief Markov chain model overcomes the shortcomings of classical Markov chain and has an efficient ability in dealing with uncertain information.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
However, the weights of criteria are kept as interval numbers to generate interval BPAs and do the fusion of interval BPAs.
no code implementations • 6 Mar 2017 • Zichang He, Wen Jiang
However, the categorization process may interfere the decision making result and the law of total probability can be violated in some situations.
no code implementations • 19 Dec 2016 • Shuai Xu, Wen Jiang, Yehang Shou
The user equilibrium traffic assignment principle is very important in the traffic assignment problem.
no code implementations • 16 Dec 2016 • Wen Jiang
The correlation coefficient can be used to measure the similarity of evidence in Dempster-Shafer evidence theory.