1 code implementation • 28 Dec 2024 • Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian
In this work, we introduce a novel conTrastive prEtrain Model with Prompt Tuning (TEMPT) for multi-center medication recommendation, which includes two stages of pretraining and finetuning.
no code implementations • 27 Dec 2024 • XueWei Li, Zhenzhen Nie, Mei Yu, Zijian Zhang, Jie Gao, Tianyi Xu, Zhiqiang Liu
Instance features in images exhibit spurious correlations with background features, affecting the training process of deep neural classifiers.
1 code implementation • 22 Dec 2024 • Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
Multifaceted user modeling aims to uncover fine-grained patterns and learn representations from user data, revealing their diverse interests and characteristics, such as profile, preference, and personality.
1 code implementation • 22 Dec 2024 • Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
User simulators can rapidly generate a large volume of timely user behavior data, providing a testing platform for reinforcement learning-based recommender systems, thus accelerating their iteration and optimization.
1 code implementation • 18 Dec 2024 • Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
Large Language Model (LLM) has transformative potential in various domains, including recommender systems (RS).
no code implementations • 10 Dec 2024 • Shuxiang Cao, Zijian Zhang, Mohammed Alghadeer, Simone D Fasciati, Michele Piscitelli, Mustafa Bakr, Peter Leek, Alán Aspuru-Guzik
Our knowledge-based agent system opens up new possibilities for managing laboratory knowledge and accelerating scientific discovery.
1 code implementation • 3 Dec 2024 • Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Dax Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong
In this report, we introduce HunyuanVideo, an innovative open-source video foundation model that demonstrates performance in video generation comparable to, or even surpassing, that of leading closed-source models.
no code implementations • 28 Nov 2024 • Zijian Zhang, Kaiyuan Zheng, Zhaorun Chen, Joel Jang, Yi Li, Siwei Han, Chaoqi Wang, Mingyu Ding, Dieter Fox, Huaxiu Yao
Notably, these constraints are flexible and can be customized to align the model with varying objectives, such as safety, efficiency, or task success.
no code implementations • 7 Nov 2024 • Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand
With the rapid advancement of neural language models, the deployment of over-parameterized models has surged, increasing the need for interpretable explanations comprehensible to human inspectors.
1 code implementation • 7 Nov 2024 • Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang
Currently, pixel reconstruction (e. g., VQGAN) dominates the training objective for image tokenizers.
1 code implementation • 3 Nov 2024 • Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
In user preference modeling, both methods learn local and global models, collaboratively learning users' common and personalized interests under the federated learning setting.
1 code implementation • 28 Oct 2024 • Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
GPRec explicitly categorizes users into groups in a learnable manner and aligns them with corresponding group embeddings.
1 code implementation • 17 Oct 2024 • Zhiyuan Wei, Jing Sun, Zijian Zhang, Xianhao Zhang, Meng Li
Our experimental results demonstrate that smaller models can surpass state-of-the-art commercial models and tools in detecting vulnerabilities in smart contracts.
no code implementations • 19 Aug 2024 • Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
As urban residents demand higher travel quality, vehicle dispatch has become a critical component of online ride-hailing services.
no code implementations • 16 Aug 2024 • Zijian Zhang, Sara Aronowitz, Alán Aspuru-Guzik
We show how the structure of a subject can be revealed by analyzing its components that act as catalysts and argue that a subject's learning ability can be regarded as its ability to compose inputs into its inner catalysts.
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 • 8 Jun 2024 • Zijian Zhang, Wei Liu
Our model is based on two pre-trained models, dedicated to extract features from text and image respectively.
no code implementations • 3 Jun 2024 • Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello
Federated learning allows several clients to train one machine learning model jointly without sharing private data, providing privacy protection.
2 code implementations • 31 May 2024 • Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
As one of the pioneers in this field, we propose the Large Language Models Enhancement framework for Sequential Recommendation (LLM-ESR).
1 code implementation • 8 May 2024 • Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
It becomes a new open challenge to enable the foundation model to capture user preference changes in a timely manner with reasonable communication and computation costs while preserving privacy.
no code implementations • 3 May 2024 • Zijian Zhang, Yujie Sun, Zepu Wang, Yuqi Nie, Xiaobo Ma, Peng Sun, Ruolin Li
Mobility analysis is a crucial element in the research area of transportation systems.
1 code implementation • 29 Apr 2024 • Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE integrates multi-domain information, maps knowledge across domains and tasks, and optimizes multiple objectives.
no code implementations • 23 Apr 2024 • Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang
Generating trajectory data is among promising solutions to addressing privacy concerns, collection costs, and proprietary restrictions usually associated with human mobility analyses.
1 code implementation • 4 Apr 2024 • Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
In the landscape of Recommender System (RS) applications, reinforcement learning (RL) has recently emerged as a powerful tool, primarily due to its proficiency in optimizing long-term rewards.
1 code implementation • 25 Mar 2024 • Zonghan Zhang, Zijian Zhang, Zhiqian Chen
A surrogate function models uncertainty from the limited information.
1 code implementation • 16 Mar 2024 • Ke Lin, Yiyang Luo, Zijian Zhang, Ping Luo
Generative linguistic steganography attempts to hide secret messages into covertext.
1 code implementation • 5 Feb 2024 • Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng
In this paper, we introduce a novel approach called Large Language Model Distilling Medication Recommendation (LEADER).
no code implementations • 1 Feb 2024 • Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin
Our principal contribution is the development of a Data-aware Neural Architecture Search for Recommender System (DNS-Rec).
no code implementations • 28 Dec 2023 • Yanwei Han, Zijian Zhang
Secondly, the nonlinear restoring force, friction force, and potential energy surfaces for static characteristics of the energy harvesting system are obtained to show the nonlinear varying stiffness, multiple equilibrium points, discontinuous behaviors and multiple well response.
no code implementations • 23 Oct 2023 • Zhibo Xing, Zijian Zhang, Jiamou Liu, Ziang Zhang, Meng Li, Liehuang Zhu, Giovanni Russello
However, in practice, due to various challenges such as limited computational resources and data privacy concerns, users in need of models often cannot train machine learning models locally.
no code implementations • 15 Oct 2023 • Zijian Zhang, Luping Liu, Zhijie Lin, Yichen Zhu, Zhou Zhao
We propose the first unsupervised and learning-based method to identify interpretable directions in h-space of pre-trained diffusion models.
no code implementations • 23 Sep 2023 • Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao
To accomplish the above goals, we propose an intuitive and novel framework, MLPST, a pure multi-layer perceptron architecture for traffic prediction.
1 code implementation • 20 Sep 2023 • Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
Then, we generate representative and common spatio-temporal patterns as global nodes to reflect a global dependency between sensors and provide auxiliary information for spatio-temporal dependency learning.
no code implementations • 18 Sep 2023 • Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
We devise a spatio-temporal transformer and a parameter-sharing training scheme to address the common knowledge among different spatio-temporal attributes.
1 code implementation • 7 Aug 2023 • Zijian Zhang, Zonghan Zhang, Zhiqian Chen
One of the primary obstacles to current research in this field is the absence of a comprehensive curated benchmark suite to study the flow behaviors under network scenarios.
1 code implementation • 4 Jun 2023 • Luping Liu, Zijian Zhang, Yi Ren, Rongjie Huang, Xiang Yin, Zhou Zhao
Previous works identify the problem of information mixing in the CLIP text encoder and introduce the T5 text encoder or incorporate strong prior knowledge to assist with the alignment.
1 code implementation • 22 May 2023 • Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
However, this separation of the recommendation model and users' private data poses a challenge in providing quality service, particularly when it comes to new items, namely cold-start recommendations in federated settings.
no code implementations • 16 Apr 2023 • Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
To cope with the problems above, we propose an Automated Spatio-Temporal multi-task Learning (AutoSTL) method to handle multiple spatio-temporal tasks jointly.
no code implementations • 11 Mar 2023 • Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo
Sequential recommender systems aim to predict users' next interested item given their historical interactions.
no code implementations • 11 Feb 2023 • Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu, Bakh Khoussainov, Liehuang Zhu
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage signal into appliance-specific power consumption and it amounts to a classical example of blind source separation tasks.
no code implementations • 5 Feb 2023 • Zijian Zhang, Zhou Zhao, Jun Yu, Qi Tian
In this paper, we propose a novel and flexible conditional diffusion model by introducing conditions into the forward process.
1 code implementation • 16 Jan 2023 • Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Moreover, we provide visualizations and in-depth analysis of the personalization techniques in item embedding, which shed novel insights on the design of recommender systems in federated settings.
2 code implementations • 26 Dec 2022 • Zijian Zhang, Zhou Zhao, Zhijie Lin
These imply that the gap corresponds to the lost information of the image, and we can reconstruct the image by filling the gap.
no code implementations • 4 Nov 2022 • Avishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang
Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems.
no code implementations • 17 Jul 2022 • Jialiang Dong, zhitao Guan, Longfei Wu, Zijian Zhang, Xiaojiang Du
These properties may have certain relationships with the word saliency, which is of great help for studying the explainability of the model predictions.
no code implementations • 3 May 2022 • Zijian Zhang, Vinay Setty, Avishek Anand
We introduce SparcAssist, a general-purpose risk assessment tool for the machine learning models trained for language tasks.
no code implementations • 29 Sep 2021 • Zhijie Lin, Zijian Zhang, Zhou Zhao
Score-based generative models involve sequentially corrupting the data distribution with noise and then learns to recover the data distribution based on score matching.
no code implementations • 12 Sep 2021 • Zijian Zhang, Koustav Rudra, Avishek Anand
It is therefore important to conduct user studies to correct models' inference biases and improve the model in a life-long learning manner in the future according to the user feedback.
no code implementations • 11 Aug 2021 • Zijian Zhang, Chenxin Zhang, Jiangfeng Li, Qinpei Zhao
Therefore, we propose a Position-based Contributive Embeddings (PosCE) to highlight the historical reference to special position aspect.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
no code implementations • 11 Aug 2021 • Zijian Zhang, Chang Shu, Youxin Chen, Jing Xiao, Qian Zhang, Lu Zheng
Integrating multimodal knowledge for abstractive summarization task is a work-in-progress research area, with present techniques inheriting fusion-then-generation paradigm.
no code implementations • 23 Jun 2021 • Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand
However, GNNs remain hard to interpret as the interplay between node features and graph structure is only implicitly learned.
1 code implementation • 5 Mar 2021 • Zijian Zhang, Shuai Wang, Yuncong Hong, Liangkai Zhou, Qi Hao
The technology of dynamic map fusion among networked vehicles has been developed to enlarge sensing ranges and improve sensing accuracies for individual vehicles.
no code implementations • 18 Jan 2021 • Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand
Are humans consistently better at selecting features that make image recognition more accurate?
1 code implementation • 11 Jan 2021 • Zijian Zhang, Koustav Rudra, Avishek Anand
A desirable property of learning systems is to be both effective and interpretable.
no code implementations • 2 Dec 2020 • Joseph Donato, Monica Lewis, Tim Ryan, Faustas Udrenas, Zijian Zhang
In this paper, we compute the sum of the Betti numbers for 6 of the 7 families of smooth Hilbert schemes over projective space.
Algebraic Geometry 14C05 (Primary), 14F25 (Secondary)
no code implementations • 10 Feb 2020 • Zijian Zhang, Linglong Dai
Then, in a wideband RIS-aided cell-free network, we formulate the problem of joint precoding design at BSs and RISs to maximize the network capacity.
2 code implementations • 31 Jan 2020 • Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang
This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary.
1 code implementation • NeurIPS 2019 • Yiwei Liu, Jiamou Liu, Zijian Zhang, Liehuang Zhu, Angsheng Li
This paper focuses on the privacy risks of disclosing the community structure in an online social network.
1 code implementation • 4 Nov 2019 • Fan Yang, Zijian Zhang, Haofan Wang, Yuening Li, Xia Hu
XDeep is an open-source Python package developed to interpret deep models for both practitioners and researchers.
9 code implementations • 3 Oct 2019 • Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu
Recently, increasing attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network makes specific decisions.
Ranked #2 on
Error Understanding
on CUB-200-2011 (ResNet-101)
no code implementations • 2 Oct 2019 • Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu
We introduce a new model-agnostic explanation technique which explains the prediction of any classifier called CLE.
1 code implementation • 7 Dec 2018 • Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
In this paper, we propose a scalable approach to train word embeddings by partitioning the input space instead in order to scale to massive text corpora while not sacrificing the performance of the embeddings.
1 code implementation • 6 Dec 2018 • Yuhao Niu, Lin Gu, Feng Lu, Feifan Lv, Zongji Wang, Imari Sato, Zijian Zhang, Yangyan Xiao, Xunzhang Dai, Tingting Cheng
Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector.