no code implementations • 15 Apr 2024 • JunJie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
RAR consists of two key sub-modules, which synergistically gather information from a vast pool of look-alike users and recall items, resulting in enriched user representations.
no code implementations • 11 Mar 2024 • Jinxi Kuang, Jinyang Liu, JunJie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu
We also share our experience in deploying COLA in our real-world cloud system, Cloud X.
no code implementations • 27 Feb 2024 • JunJie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu
To date, FaultProfIT has analyzed 10, 000+ incidents from 30+ cloud services, successfully revealing several fault trends that have informed system improvements.
1 code implementation • 13 Nov 2023 • JunJie Huang, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du
3D object Detection with LiDAR-camera encounters overfitting in algorithm development which is derived from the violation of some fundamental rules.
1 code implementation • 15 Jun 2023 • Jieming Zhu, Guohao Cai, JunJie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
The error memory module is designed with fast access capabilities and undergoes continual refreshing with newly observed data samples during the model serving phase to support fast model adaptation.
no code implementations • 8 Jun 2023 • Jinyang Liu, JunJie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu
System logs play a critical role in maintaining the reliability of software systems.
1 code implementation • 24 May 2023 • He Zhu, Chong Zhang, JunJie Huang, Junran Wu, Ke Xu
Hierarchical text classification (HTC) is a challenging subtask of multi-label classification as the labels form a complex hierarchical structure.
1 code implementation • 5 Feb 2023 • JunJie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, HuaWei Shen, Xueqi Cheng
To reduce the influence of data sparsity, Graph Contrastive Learning (GCL) is adopted in GNN-based CF methods for enhancing performance.
1 code implementation • 30 Nov 2022 • JunJie Huang, Guan Huang
We offer an example of deployment to the TensorRT backend in branch dev2. 0 and show how fast the BEVDet paradigm can be processed on it.
1 code implementation • 28 Nov 2022 • Zihan Chen, Ziyue Wang, JunJie Huang, Wentao Zhao, Xiao Liu, Dejian Guan
Adding perturbations via utilizing auxiliary gradient information or discarding existing details of the benign images are two common approaches for generating adversarial examples.
1 code implementation • 25 Nov 2022 • Haotian Cui, Chenglong Wang, JunJie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo wang, Jianfeng Gao, Nan Duan
Our experiments show that (1) our refined training dataset lets models achieve better performance in the explanation generation tasks compared to larger unrefined data (15x larger), and (2) fine-tuned models can generate well-structured long docstrings comparable to human-written ones.
1 code implementation • 17 Nov 2022 • JunJie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao
Code generation models can benefit data scientists' productivity by automatically generating code from context and text descriptions.
no code implementations • 11 Oct 2022 • Zhengbang Zhu, Rongjun Qin, JunJie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
The increase in the measured performance, however, can have two possible attributions: a better understanding of user preferences, and a more proactive ability to utilize human bounded rationality to seduce user over-consumption.
1 code implementation • 11 Oct 2022 • JunJie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan
However, training an effective dense table-text retriever is difficult due to the challenges of table-text discrepancy and data sparsity problem.
1 code implementation • 19 May 2022 • Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng, JunJie Huang, Guan Huang, Jie zhou, Jiwen Lu
Specifically, BEVerse first performs shared feature extraction and lifting to generate 4D BEV representations from multi-timestamp and multi-view images.
Ranked #15 on Robust Camera Only 3D Object Detection on nuScenes-C
no code implementations • ICCV 2021 • Xianda Guo, Zheng Zhu, Tian Yang, Beibei Lin, JunJie Huang, Jiankang Deng, Guan Huang, Jie zhou, Jiwen Lu
To the best of our knowledge, this is the first large-scale dataset for gait recognition in the wild.
no code implementations • 21 Apr 2022 • Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, JunJie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Dalong Du, Jiwen Lu, Jie zhou
For a comprehensive evaluation of face matchers, three recognition tasks are performed under standard, masked and unbiased settings, respectively.
1 code implementation • 11 Apr 2022 • Jiayu Zou, Junrui Xiao, Zheng Zhu, JunJie Huang, Guan Huang, Dalong Du, Xingang Wang
In order to reap the benefits and avoid the drawbacks of CBFT and CFFT, we propose a novel framework with a Hybrid Feature Transformation module (HFT).
1 code implementation • 31 Mar 2022 • JunJie Huang, Guan Huang
Single frame data contains finite information which limits the performance of the existing vision-based multi-camera 3D object detection paradigms.
Ranked #17 on 3D Object Detection on nuScenes Camera Only
1 code implementation • 22 Feb 2022 • Yixuan He, Xitong Zhang, JunJie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert
While many networks are signed or directed, or both, there is a lack of unified software packages on graph neural networks (GNNs) specially designed for signed and directed networks.
no code implementations • 7 Feb 2022 • Jiarui Jin, Xianyu Chen, Weinan Zhang, JunJie Huang, Ziming Feng, Yong Yu
More concretely, we first design a search-based module to retrieve a user's relevant historical behaviors, which are then mixed up with her recent records to be fed into a time-aware sequential network for capturing her time-sensitive demands.
no code implementations • 15 Jan 2022 • Wanjun Zhong, JunJie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan
CARP utilizes hybrid chain to model the explicit intermediate reasoning process across table and text for question answering.
Ranked #2 on Question Answering on OTT-QA
2 code implementations • 22 Dec 2021 • JunJie Huang, Guan Huang, Zheng Zhu, Yun Ye, Dalong Du
As a fast version, BEVDet-Tiny scores 31. 2% mAP and 39. 2% NDS on the nuScenes val set.
Ranked #20 on Robust Camera Only 3D Object Detection on nuScenes-C
no code implementations • 10 Sep 2021 • Yunze Chen, JunJie Huang, Jiagang Zhu, Zheng Zhu, Tian Yang, Guan Huang, Dalong Du
The current research on this problem mainly focuses on designing an efficient Fully-connected layer (FC) to reduce GPU memory consumption caused by a large number of identities.
1 code implementation • 30 Aug 2021 • Shuchang Tao, Qi Cao, HuaWei Shen, JunJie Huang, Yunfan Wu, Xueqi Cheng
In this paper, we focus on an extremely limited scenario of single node injection evasion attack, i. e., the attacker is only allowed to inject one single node during the test phase to hurt GNN's performance.
1 code implementation • 22 Aug 2021 • JunJie Huang, HuaWei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng
Signed bipartite networks are different from classical signed networks, which contain two different node sets and signed links between two node sets.
no code implementations • 16 Aug 2021 • Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, JunJie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jia Guo, Jiwen Lu, Dalong Du, Jie zhou
There are second phase of the challenge till October 1, 2021 and on-going leaderboard.
1 code implementation • ACL 2021 • JunJie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan
Finding codes given natural language query isb eneficial to the productivity of software developers.
no code implementations • 6 Apr 2021 • Jiabin Zhang, Zheng Zhu, Jiwen Lu, JunJie Huang, Guan Huang, Jie zhou
To make a better trade-off between accuracy and efficiency, we propose a novel multi-person pose estimation framework, SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation (SIMPLE).
1 code implementation • Findings (EMNLP) 2021 • JunJie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan
In this work, we conduct a thorough examination of pretrained model based unsupervised sentence embeddings.
no code implementations • CVPR 2021 • Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, JunJie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie zhou
In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training data, as well as an elaborately designed time-constrained evaluation protocol.
Ranked #1 on Face Verification on IJB-C (training dataset metric)
4 code implementations • 9 Feb 2021 • Shuai Lu, Daya Guo, Shuo Ren, JunJie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
Benchmark datasets have a significant impact on accelerating research in programming language tasks.
Ranked #1 on Cloze Test on CodeXGLUE - CT-maxmin
1 code implementation • 7 Jan 2021 • JunJie Huang, HuaWei Shen, Liang Hou, Xueqi Cheng
Guided by related sociological theories, we propose a novel Signed Directed Graph Neural Networks model named SDGNN to learn node embeddings for signed directed networks.
2 code implementations • 17 Aug 2020 • Junjie Huang, Zheng Zhu, Guan Huang, Dalong Du
As AID successfully pushes the performance boundary of human pose estimation problem by considerable margin and sets a new state-of-the-art, we hope AID to be a regular configuration for training human pose estimators.
Ranked #1 on Multi-Person Pose Estimation on COCO minival
3 code implementations • CVPR 2020 • Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang, Dalong Du
Specifically, by investigating the standard data processing in state-of-the-art approaches mainly including coordinate system transformation and keypoint format transformation (i. e., encoding and decoding), we find that the results obtained by common flipping strategy are unaligned with the original ones in inference.
Ranked #14 on Pose Estimation on COCO test-dev
no code implementations • 14 Oct 2019 • Junjie Huang, Zheng Zhu, Guan Huang
Human pose estimation are of importance for visual understanding tasks such as action recognition and human-computer interaction.
1 code implementation • 26 Jun 2019 • Junjie Huang, Hua-Wei Shen, Liang Hou, Xue-Qi Cheng
We evaluate the proposed SiGAT method by applying it to the signed link prediction task.
Ranked #1 on Link Sign Prediction on Slashdot
1 code implementation • 1 Jun 2019 • Junjie Huang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Maosong Sun
Word similarity computation is a widely recognized task in the field of lexical semantics.
no code implementations • 18 Nov 2018 • Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu
Obtained by moving object detection, the foreground mask result is unshaped and can not be directly used in most subsequent processes.
no code implementations • 18 Nov 2018 • Junjie Huang, Wei Zou, Zheng Zhu, Jiagang Zhu
Real-time motion detection in non-stationary scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource.
Motion Detection Motion Detection In Non-Stationary Scenes +1
no code implementations • 13 Jul 2018 • Junjie Huang, Wei Zou, Jiagang Zhu, Zheng Zhu
Real-time moving object detection in unconstrained scenes is a difficult task due to dynamic background, changing foreground appearance and limited computational resource.