1 code implementation • 19 Dec 2024 • Tianyu Qiu, Yi Xie, Yun Xiong, Hao Niu, Xiaofeng Gao
This paper explores how to enhance existing masked time-series modeling by randomly dropping sub-sequence level patches of time series.
1 code implementation • 6 Dec 2024 • Qian Long, Zhi Li, Ran Gong, Ying Nian Wu, Demetri Terzopoulos, Xiaofeng Gao
Collaboration is a cornerstone of society.
1 code implementation • 26 Nov 2024 • Yuang Zhao, Tianyu Li, Jiadong Chen, Shenrong Ye, Fuxin Jiang, Tieying Zhang, Xiaofeng Gao
Existing deep learning and linear models often suffer from excessive parameter complexity and lack intuitive interpretability.
Ranked #1 on
Time Series Forecasting
on Weather (96)
no code implementations • 19 Nov 2024 • Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao
Modeling feature interactions plays a crucial role in accurately predicting click-through rates (CTR) in advertising systems.
no code implementations • 16 Oct 2024 • Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng
We empirically witness the high data efficiency of our training procedure and find that our method can sustain over 90% performance with an average KV cache compression rate of 60% (and up to 75% in certain extreme scenarios) for popular LLMs like LLaMA2-7B-base and Mistral-7B-v0. 3-base.
1 code implementation • 8 Oct 2024 • Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang
In this paper, we focus on enhancing a diffusion-based text-to-video (T2V) model during the post-training phase by distilling a highly capable consistency model from a pretrained T2V model.
no code implementations • 6 Sep 2024 • Yi Xie, Tianyu Qiu, Yun Xiong, Xiuqi Huang, Xiaofeng Gao, Chao Chen
Time series analysis and prediction methods currently excel in quantitative analysis, offering accurate future predictions and diverse statistical indicators, but generally falling short in elucidating the underlying evolution patterns of time series.
1 code implementation • 2 Aug 2024 • Yang Luo, Shiyu Wang, Zhemeng Yu, Wei Lu, Xiaofeng Gao, Lintao Ma, Guihai Chen
The surging demand for cloud computing resources, driven by the rapid growth of sophisticated large-scale models and data centers, underscores the critical importance of efficient and adaptive resource allocation.
no code implementations • 27 Jun 2024 • Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
Second, we implement personalized federated learning for each expert network during a federated communication round, using three modules: federated batch normalization, conflict coordination, and personalized aggregation.
1 code implementation • 8 Apr 2024 • Hengyu Ye, Jiadong Chen, Shijin Gong, Fuxin Jiang, Tieying Zhang, Jianjun Chen, Xiaofeng Gao
To capitalize on both of these strengths, we propose ATFNet, an innovative framework that combines a time domain module and a frequency domain module to concurrently capture local and global dependencies in time series data.
Ranked #63 on
Time Series Forecasting
on ETTh1 (336) Multivariate
no code implementations • CVPR 2024 • Yichi Zhang, Ziqiao Ma, Xiaofeng Gao, Suhaila Shakiah, Qiaozi Gao, Joyce Chai
Most multimodal large language models (MLLMs) learn language-to-object grounding through causal language modeling where grounded objects are captured by bounding boxes as sequences of location tokens.
Ranked #2 on
Referring Expression Segmentation
on PhraseCut
Causal Language Modeling
Generalized Referring Expression Segmentation
+4
1 code implementation • 13 Feb 2024 • Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
Link prediction, which aims to forecast unseen connections in graphs, is a fundamental task in graph machine learning.
no code implementations • 28 Dec 2023 • Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li, Xiaofeng Gao, Xiongwen Yang, Lei Xiao, Jie Jiang
Considering recency effect in memories, we propose a forgetting model based on Ebbinghaus Forgetting Curve to cope with negative feedback.
1 code implementation • 2 Dec 2023 • Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao
In this paper, we aim to tackle this problem with a unified framework consisting of an end-to-end trainable method and a planning algorithm.
no code implementations • 18 Nov 2023 • Yuxin Zuo, Haojia Sun, Yongyi Hu, Jianxiong Guo, Xiaofeng Gao
Several previous works have addressed this topic in a statistical way and provided efficient algorithms with theoretical guarantee.
no code implementations • 14 Oct 2023 • Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang
In this work, we tackle the problem of training a robot to understand multimodal prompts, interleaving vision signals with text descriptions.
2 code implementations • 15 Aug 2023 • Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
To fill this gap, we propose a Temporal Interest Network (TIN) to capture the semantic-temporal correlation simultaneously between behaviors and the target.
no code implementations • 9 Aug 2023 • Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan
The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the SocialBot Grand Challenge and the TaskBot Challenge.
no code implementations • 2 Aug 2023 • Ran Gong, Xiaofeng Gao, Qiaozi Gao, Suhaila Shakiah, Govind Thattai, Gaurav S. Sukhatme
We introduce a benchmark for LanguagE-Conditioned Multi-robot MAnipulation (LEMMA) focused on task allocation and long-horizon object manipulation based on human language instructions in a tabletop setting.
1 code implementation • 18 Jul 2023 • Tianyao Shi, Yingxuan Yang, Yunlong Cheng, Xiaofeng Gao, Zhen Fang, Yongqiang Yang
Multi-tenancy in public clouds may lead to co-location interference on shared resources, which possibly results in performance degradation of cloud applications.
1 code implementation • ICCV 2023 • Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang
To tackle these challenges, we present ARNOLD, a benchmark that evaluates language-grounded task learning with continuous states in realistic 3D scenes.
1 code implementation • NeurIPS 2023 • Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani Tur, Prem Natarajan
We introduce Alexa Arena, a user-centric simulation platform for Embodied AI (EAI) research.
no code implementations • 27 Oct 2022 • Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
In this paper, we propose a novel model named AutoAttention, which includes all item/user/context side fields as the query, and assigns a learnable weight for each field pair between behavior fields and query fields.
no code implementations • 23 Jun 2022 • Yizhou Zhao, Steven Gong, Xiaofeng Gao, Wensi Ai, Song-Chun Zhu
With the recent progress of simulations by 3D modeling software and game engines, many researchers have focused on Embodied AI tasks in the virtual environment.
no code implementations • 6 Jun 2022 • Xiaofeng Gao, Xingwei Wu, Samson Ho, Teruhisa Misu, Kumar Akash
To understand the effect of highlighting on drivers' SA for objects with different types and locations under various traffic densities, we conducted an in-person experiment with 20 participants on a driving simulator.
no code implementations • 1 Jun 2022 • Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen
Based on this observation, in this paper, we propose a novel approach Hierarchical Intention Embedding Network (HIEN), which considers dependencies of attributes based on bottom-up tree aggregation in the constructed attribute graph.
no code implementations • 25 Apr 2022 • Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
To circumvent false negatives, we develop a principled approach to improve the reliability of negative instances and prove that the objective is an unbiased estimation of sampling from the true negative distribution.
2 code implementations • 27 Feb 2022 • Xiaofeng Gao, Qiaozi Gao, Ran Gong, Kaixiang Lin, Govind Thattai, Gaurav S. Sukhatme
Language-guided Embodied AI benchmarks requiring an agent to navigate an environment and manipulate objects typically allow one-way communication: the human user gives a natural language command to the agent, and the agent can only follow the command passively.
no code implementations • 20 Feb 2022 • Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Multi-task learning (MTL) has been widely used in recommender systems, wherein predicting each type of user feedback on items (e. g, click, purchase) are treated as individual tasks and jointly trained with a unified model.
1 code implementation • 31 Oct 2021 • Runbo Ni, Xueyan Li, Fangqi Li, Xiaofeng Gao, Guihai Chen
Finding influential users in social networks is a fundamental problem with many possible useful applications.
no code implementations • 6 Mar 2021 • Xiaofeng Gao, Luyao Yuan, Tianmin Shu, Hongjing Lu, Song-Chun Zhu
Our experiments with human participants demonstrate that a short calibration using REMP can effectively bridge the gap between what a non-expert user thinks a robot can reach and the ground truth.
no code implementations • 1 Jan 2021 • Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Hongyuan Zha
In this paper, we propose an inductive collaborative filtering framework that learns a hidden relational graph among users from the rating matrix.
no code implementations • 24 Jul 2020 • Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu
Thus, in this paper, we propose a novel explainable AI (XAI) framework for achieving human-like communication in human-robot collaborations, where the robot builds a hierarchical mind model of the human user and generates explanations of its own mind as a form of communications based on its online Bayesian inference of the user's mental state.
Bayesian Inference
Explainable Artificial Intelligence (XAI)
+1
1 code implementation • 9 Jul 2020 • Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
The first model follows conventional matrix factorization which factorizes a group of key users' rating matrix to obtain meta latents.
no code implementations • 18 Feb 2020 • Haolin Zhou, Chaoqi Yang, Xiaofeng Gao, Qiong Chen, Gongshen Liu, Guihai Chen
Online Real-Time Bidding (RTB) is a complex auction game among which advertisers struggle to bid for ad impressions when a user request occurs.
no code implementations • 7 Nov 2019 • Jiacheng Dai, Zhifeng Jia, Xiaofeng Gao, Guihai Chen
Top-k Nearest Geosocial Keyword (T-kNGK) query on geosocial network is defined to give users k recommendations based on some keywords and designated spatial range, and can be realized by shortest path algorithms.
1 code implementation • NeurIPS 2019 • Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen
We target modeling latent dynamics in high-dimension marked event sequences without any prior knowledge about marker relations.
no code implementations • 26 Aug 2019 • Xiuqi Huang, Yuanning Gao, Xiaofeng Gao, Guihai Chen
In the user layer, we exploit the network embedding strategy to measure the relationship effect in users' relationship network.
1 code implementation • 25 Mar 2019 • Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen
Social recommendation leverages social information to solve data sparsity and cold-start problems in traditional collaborative filtering methods.
Ranked #1 on
Recommendation Systems
on WeChat
1 code implementation • 13 Mar 2019 • Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, Song-Chun Zhu
One of the main challenges of advancing task-oriented learning such as visual task planning and reinforcement learning is the lack of realistic and standardized environments for training and testing AI agents.
no code implementations • 31 Oct 2017 • Fei Wang, Xiaofeng Gao, Guihai Chen, Jun Ye
Unfortunately, the calculation of the sampling probability distribution $P$ causes a major limitation of IS: it requires the input data to be well-structured, i. e., the feature vector is properly defined.
no code implementations • 1 Mar 2017 • Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo, Song-Chun Zhu
In this paper, we present a general framework for learning social affordance grammar as a spatiotemporal AND-OR graph (ST-AOG) from RGB-D videos of human interactions, and transfer the grammar to humanoids to enable a real-time motion inference for human-robot interaction (HRI).