no code implementations • 5 Feb 2025 • Huimin Zeng, Jiacheng Li, Ziqiang Zheng, Zhiwei Xiong
Visual images corrupted by various types and levels of degradations are commonly encountered in practical image compression.
no code implementations • 23 Jan 2025 • Yinglong Li, Xiaoyu Liu, Jiacheng Li, Ruikang Xu, Yinda Chen, Zhiwei Xiong
State Space Models (SSMs), as key components of Mamaba, have gained increasing attention for vision models recently, thanks to their efficient long sequence modeling capability.
1 code implementation • 26 Dec 2024 • Dun Zhang, Jiacheng Li, Ziyang Zeng, Fulong Wang
However, the embedding models that currently excel on text embedding benchmarks, like the Massive Text Embedding Benchmark (MTEB), often have numerous parameters and high vector dimensionality.
no code implementations • 25 Dec 2024 • Jiacheng Li
With the explosive growth of Chinese text data and advancements in natural language processing technologies, Chinese text classification has become one of the key techniques in fields such as information retrieval and sentiment analysis, attracting increasing attention.
no code implementations • 11 Dec 2024 • Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh
We assess current state-of-the-art methods using our benchmark and show that they struggle to accurately discern user preferences.
no code implementations • 27 Nov 2024 • Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D Nowak, Xiaoli Gao, Hamid Eghbalzadeh
This hybrid approach provides insights into the trade-offs between these approaches and demonstrates improvements in efficiency and effectiveness for recommendation systems in small-scale benchmarks.
1 code implementation • 3 Oct 2024 • Yijie Ding, Yupeng Hou, Jiacheng Li, Julian McAuley
In this paper, we propose SpecGR, a plug-and-play framework that enables GR models to recommend new items in an inductive setting.
no code implementations • 15 Jul 2024 • Zhuoyuan Li, Jiacheng Li, Yao Li, Li Li, Dong Liu, Feng Wu
Recently, neural network-based in-loop filtering methods achieve remarkable coding gains beyond the capability of advanced video coding standards, which becomes a powerful coding tool candidate for future video coding standards.
1 code implementation • 13 Jul 2024 • Jiacheng Li, Chang Chen, Fenglong Song, Youliang Yan, Zhiwei Xiong
Image resampling is a basic technique that is widely employed in daily applications, such as camera photo editing.
no code implementations • 6 May 2024 • Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth
In this survey paper, we provide a comprehensive literature review of the different privacy attacks and defense methods in FL.
1 code implementation • 6 Mar 2024 • Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian McAuley
This paper introduces BLaIR, a series of pretrained sentence embedding models specialized for recommendation scenarios.
1 code implementation • CVPR 2024 • Yinglong Li, Jiacheng Li, Zhiwei Xiong
In this work we propose a novel LUT compression framework to achieve a better trade-off between storage size and performance for LUT-based image restoration models.
no code implementations • 2 Nov 2023 • Jiacheng Li, Ninghui Li, Bruno Ribeiro
Most MI attacks in the literature take advantage of the fact that ML models are trained to fit the training data well, and thus have very low loss on training instances.
no code implementations • 2 Aug 2023 • Zixuan Ni, Longhui Wei, Jiacheng Li, Siliang Tang, Yueting Zhuang, Qi Tian
In this work, we propose a novel strategy named \textbf{Degeneration-Tuning (DT)} to shield contents of unwanted concepts from SD weights.
1 code implementation • AAAI Conference on Artificial Intelligence 2023 • Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
In this work, we propose PrimeNet to learn a self-supervised representation for irregular multivariate time series.
1 code implementation • 23 May 2023 • Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
In this paper, we propose to model user preferences and item features as language representations that can be generalized to new items and datasets.
no code implementations • 22 May 2023 • William Hogan, Jiacheng Li, Jingbo Shang
Motivated by these insights, we present a novel method called KNoRD (Known and Novel Relation Discovery), which effectively classifies explicitly and implicitly expressed relations from known and novel classes within unlabeled data.
no code implementations • 10 May 2023 • Wenjie Liu, Baokai Liu, Shiqiang Du, Yuqing Shi, Jiacheng Li, Jianhua Wang
The execution of the model is similar to the process of a mural restorer (i. e., inpainting the structure of the damaged mural globally first and then adding the local texture details further).
no code implementations • 21 Apr 2023 • Jiacheng Li
Remote sensing image segmentation is a specific task of remote sensing image interpretation.
1 code implementation • 8 Apr 2023 • Huimin Zeng, Jie Huang, Jiacheng Li, Zhiwei Xiong
Specifically, we propose a region-aware retouching framework with two branches: an automatic branch and an interactive branch.
1 code implementation • 25 Mar 2023 • Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
However, the size of a single LUT grows exponentially with the increase of its indexing capacity, which restricts its receptive field and thus the performance.
2 code implementations • 21 Mar 2023 • Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, Sydney Lim, Amanda Denning, Eunice Chung, Sadhana Ravikumar, Sanaz Arezoumandan, Claire Peterson, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Alejandra Bahena, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, Winifred Trotman, John Robinson, Daniel Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, John Detre, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich
Postmortem MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements.
no code implementations • 16 Mar 2023 • Boren Hu, Yun Zhu, Jiacheng Li, Siliang Tang
In this paper, we propose a novel dynamic early exiting combined with layer skipping for BERT inference named SmartBERT, which adds a skipping gate and an exiting operator into each layer of BERT.
no code implementations • 7 Mar 2023 • Jiacheng Li, Longhui Wei, Zongyuan Zhan, Xin He, Siliang Tang, Qi Tian, Yueting Zhuang
To better accelerate the generative transformers while keeping good generation quality, we propose Lformer, a semi-autoregressive text-to-image generation model.
no code implementations • CVPR 2023 • Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
Image resampling is a basic technique that is widely employed in daily applications.
no code implementations • CVPR 2023 • Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong
In contrast to existing methods, we instead utilize the difference between images to build a better representation space, where the distinct style features are extracted and stored as the bases of representation.
no code implementations • 6 Dec 2022 • Baokai Liu, Fengjie He, Shiqiang Du, Jiacheng Li, Wenjie Liu
Small object detection has important application value in the fields of autonomous driving and drone scene analysis.
no code implementations • 11 Oct 2022 • An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian McAuley
However, the application of its text encoder solely for text understanding has been less explored.
no code implementations • 10 Oct 2022 • Sujuan Hou, Jiacheng Li, Weiqing Min, Qiang Hou, Yanna Zhao, Yuanjie Zheng, Shuqiang Jiang
When logos are increasingly created, logo detection has gradually become a research hotspot across many domains and tasks.
1 code implementation • 28 Sep 2022 • Jiacheng Li, Zhankui He, Jingbo Shang, Julian McAuley
Then, to obtain personalized explanations under this framework of insertion-based generation, we design a method of incorporating aspect planning and personalized references into the insertion process.
no code implementations • 20 Aug 2022 • Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian McAuley, Chun-Nan Hsu
To address these problems, we propose a new pre-trained model that learns representations of both entities and relationships from token spans and span pairs in the text respectively.
Ranked #4 on
Relation Extraction
on SemEval-2010 Task-8
no code implementations • 30 Jun 2022 • An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian McAuley
In this paper, to further enrich explanations, we propose a new task named personalized showcases, in which we provide both textual and visual information to explain our recommendations.
1 code implementation • 25 May 2022 • William Hogan, Jiacheng Li, Jingbo Shang
Recent relation extraction (RE) works have shown encouraging improvements by conducting contrastive learning on silver labels generated by distant supervision before fine-tuning on gold labels.
Ranked #36 on
Relation Extraction
on DocRED
2 code implementations • NAACL 2022 • Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang
This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.
no code implementations • 4 Apr 2022 • Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian McAuley
We propose to model user dynamics from shopping intents and interacted items simultaneously.
1 code implementation • 8 Mar 2022 • Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang
The core of human group detection is the human social relation representation and division. In this paper, we propose a new two-stage multi-head framework for human group detection.
1 code implementation • 8 Mar 2022 • Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang
To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simultaneous achieve the individual action, social group activity, and global activity recognition.
no code implementations • 22 Feb 2022 • Lin Yang, Shuai Guo, Chengyu Hou, Chencheng Liao, Jiacheng Li, Liping Shi, Xiaoliang Ma, Shenda Jiang, Bing Zheng, Yi Fang, Lin Ye, Xiaodong He
According to an analysis of determined protein complex structures, shape matching between the largest low-entropy hydration shell region of a protein and that of its partner at the binding sites is revealed as a regular pattern.
1 code implementation • CVPR 2022 • Ruize Han, Yiyang Gan, Jiacheng Li, Feifan Wang, Wei Feng, Song Wang
In this paper, we develop a new approach that can simultaneously handle three tasks: i) localizing the side-view camera in the top view; ii) estimating the view direction of the side-view camera; iii) detecting and associating the same subjects on the ground across the complementary views.
no code implementations • CVPR 2022 • Jiacheng Li, Chang Chen, Zhiwei Xiong
To model the contextual correlation between foreground and background contents, we incorporate an object-level contrastive loss to regularize the learning of cross-modal representations of foreground contents and the corresponding background semantic layout, facilitating accurate semantic reasoning.
2 code implementations • 14 Oct 2021 • Pulkit Khandelwal, Shokufeh Sadaghiani, Michael Tran Duong, Sadhana Ravikumar, Sydney Lim, Sanaz Arezoumandan, Claire Peterson, Eunice Chung, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, John Robinson, Daniel Ohm, Edward Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David Irwin, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich
Ex vivo MRI of the brain provides remarkable advantages over in vivo MRI for visualizing and characterizing detailed neuroanatomy.
2 code implementations • ACL 2021 • Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley, Zhe Feng
We study the problem of building entity tagging systems by using a few rules as weak supervision.
no code implementations • 28 Feb 2021 • Jiacheng Li, Chengyu Hou, Menghao Wang, Chencheng Liao, Shuai Guo, Liping Shi, Xiaoliang Ma, Hongchi Zhang, Shenda Jiang, Bing Zheng, Lin Ye, Lin Yang, Xiaodong He
Preliminary epidemiologic, phylogenetic and clinical findings suggest that several novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have increased transmissibility and decreased efficacy of several existing vaccines.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang
Sensor metadata tagging, akin to the named entity recognition task, provides key contextual information (e. g., measurement type and location) about sensors for running smart building applications.
no code implementations • 16 Sep 2020 • Jiacheng Li, Xiaoliang Ma, Hongchi Zhang, Chengyu Hou, Liping Shi, Shuai Guo, Chenchen Liao, Bing Zheng, Lin Ye, Lin Yang, Xiaodong He
Exploring the protein-folding problem has been a long-standing challenge in molecular biology.
no code implementations • 27 Aug 2020 • Jiacheng Li, Xiaoliang Ma, Shuai Guo, Chengyu Hou, Liping Shi, Hongchi Zhang, Bing Zheng, Chencheng Liao, Lin Yang, Lin Ye, Xiaodong He
The hydrophobic interaction between the SARS-CoV-2 S and ACE2 protein is found to be significantly greater than that between SARS-CoV S and ACE2.
no code implementations • 11 Aug 2020 • Jiacheng Li, Siliang Tang, Juncheng Li, Jun Xiao, Fei Wu, ShiLiang Pu, Yueting Zhuang
In this paper, we focus on enhancing the generalization ability of the VIST model by considering the few-shot setting.
no code implementations • 9 Jun 2020 • Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu
For one thing, previous works cannot jointly utilize both the social network and diffusion graph for prediction, which is insufficient to model the complexity of the diffusion process and results in unsatisfactory prediction performance.
1 code implementation • 27 Feb 2020 • Jiacheng Li, Ninghui Li, Bruno Ribeiro
We study the membership inference (MI) attack against classifiers, where the attacker's goal is to determine whether a data instance was used for training the classifier.
5 code implementations • 1 Jan 2020 • Jiacheng Li, Yujie Wang, Julian McAuley
Sequential recommender systems seek to exploit the order of users' interactions, in order to predict their next action based on the context of what they have done recently.
no code implementations • IJCNLP 2019 • Jianmo Ni, Jiacheng Li, Julian McAuley
Several recent works have considered the problem of generating reviews (or {`}tips{'}) as a form of explanation as to why a recommendation might match a customer{'}s interests.
1 code implementation • 7 Jul 2019 • Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
To solve this problem, we propose a method to mine the cross-modal rules to help the model infer these informative concepts given certain visual input.
Ranked #11 on
Visual Storytelling
on VIST
1 code implementation • 22 May 2019 • Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong
For the Small Size League of RoboCup 2018, Team ZJUNLict has won the champion and therefore, this paper thoroughly described the devotion which ZJUNLict has devoted and the effort that ZJUNLict has contributed.
Robotics 68T40
no code implementations • 13 Mar 2019 • Ruirui Li, Mingming Li, Jiacheng Li, Yating Zhou
We develop a connection sensitive attention U-Net(CSAU) for accurate retinal vessel segmentation.