no code implementations • EMNLP 2021 • Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu
To alleviate label scarcity in Named Entity Recognition (NER) task, distantly supervised NER methods are widely applied to automatically label data and identify entities.
no code implementations • NAACL 2022 • Zheng Fang, Ruiqing Zhang, Zhongjun He, Hua Wu, Yanan Cao
Automatic Speech Recognition (ASR) is an efficient and widely used input method that transcribes speech signals into text.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 15 Mar 2024 • Zheng Fang, Fucai Ke, Jae Young Han, Zhijie Feng, Toby Cai
The study opens new avenues for exploring the application of graph theory and reinforcement learning in social and behavioral sciences, highlighting the potential for empirical validation in future work.
1 code implementation • 14 Mar 2024 • Mingyuan Sun, Donghao Zhang, ZongYuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu
Based on this, we propose EventRPG, which leverages relevance propagation on the spiking neural network for more efficient augmentation.
1 code implementation • 26 Feb 2024 • Yu Lin, Zhiheng Li, Yubo Cui, Zheng Fang
Most existing methods perform tracking between two consecutive frames while ignoring the motion patterns of the target over a series of frames, which would cause performance degradation in the scenes with sparse points.
no code implementations • 21 Feb 2024 • Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Based on the insight of graph pre-training, we propose to bridge the graph signal gap and the graph structure gap with learnable prompts in the spectral space.
no code implementations • 20 Feb 2024 • Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu
In this paper, we propose a new paradigm through the model composition of existing MLLMs to create a new model that retains the modal understanding capabilities of each original model.
no code implementations • 16 Feb 2024 • Chenming Hu, Zheng Fang, Kuanxu Hou, Delei Kong, Junjie Jiang, Hao Zhuang, Mingyuan Sun, XinJie Huang
This module is designed to extract features shared between the two representations and features specific to each.
no code implementations • 2 Feb 2024 • Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
To tackle the above issues, we propose a neural Spatial-Temporal Delay Differential Equation model, namely STDDE.
no code implementations • 21 Jan 2024 • Zheng Fang, Tianhao Chen, Dong Jiang, Zheng Zhang, Guangliang Li
Multi-agent generative adversarial imitation learning (MAGAIL) allows multi-AUV to learn from expert demonstration instead of pre-defined reward functions, but suffers from the deficiency of requiring optimal demonstrations and not surpassing provided expert demonstrations.
no code implementations • 12 Jan 2024 • Jia Li, Ge Li, YunFei Zhao, Yongmin Li, Zhi Jin, Hao Zhu, Huanyu Liu, Kaibo Liu, Lecheng Wang, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yihong Dong, Yuqi Zhu, Bin Gu, Mengfei Yang
Compared to previous benchmarks, DevEval aligns to practical projects in multiple dimensions, e. g., real program distributions, sufficient dependencies, and enough-scale project contexts.
1 code implementation • 23 Aug 2023 • Zhiheng Li, Yu Lin, Yubo Cui, Shuo Li, Zheng Fang
3D single object tracking with LiDAR points is an important task in the computer vision field.
no code implementations • 2 Aug 2023 • Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Chang-Ping Peng, Zhan-Gang Lin, Jing-He Hu, Jing-Ping Shao
To overcome this challenge, in this paper, we propose knowledge condensation (KC), a simple yet effective knowledge distillation framework to boost the classification performance of the online FastText model under strict low latency constraints.
no code implementations • 30 Jun 2023 • Yubo Cui, Zhiheng Li, Zheng Fang
Previous methods usually input the last two frames and use the predicted box to get the template point cloud in previous frame and the search area point cloud in the current frame respectively, then use similarity-based or motion-based methods to predict the current box.
1 code implementation • 16 May 2023 • Zheng Fang, Yulan He, Rob Procter
Most existing topic models rely on bag-of-words (BOW) representation, which limits their ability to capture word order information and leads to challenges with out-of-vocabulary (OOV) words in new documents.
no code implementations • 13 May 2023 • Hao Zhuang, XinJie Huang, Kuanxu Hou, Delei Kong, Chenming Hu, Zheng Fang
In this paper, we propose EV-MGRFlowNet, an unsupervised event-based optical flow estimation pipeline with motion-guided recurrent networks using a hybrid motion-compensation loss.
1 code implementation • 11 May 2023 • Zhiheng Li, Yubo Cui, Yu Lin, Zheng Fang
To overcome the limitations of geometry matching, we propose a Multi-modal Multi-level Fusion Tracker (MMF-Track), which exploits the image texture and geometry characteristic of point clouds to track 3D target.
no code implementations • 11 Apr 2023 • Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining.
no code implementations • 4 Apr 2023 • Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter
Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively.
no code implementations • ICCV 2023 • Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao
In this paper, we propose a few-shot anomaly detection strategy that works in a low-data regime and can generalize across products at no cost.
no code implementations • 22 Nov 2022 • Kuanxu Hou, Delei Kong, Junjie Jiang, Hao Zhuang, XinJie Huang, Zheng Fang
To our knowledge, this is the first end-to-end network that goes beyond the existing event-based and frame-based SOTA methods to fuse frame and events directly for VPR.
1 code implementation • 2 Oct 2022 • Yubo Cui, Jiayao Shan, Zuoxu Gu, Zhiheng Li, Zheng Fang
Meanwhile, the encoder applies the attention on multi-scale features to compensate for the lack of information caused by the sparsity of point cloud and the single scale of features.
1 code implementation • 2 Sep 2022 • Jiayao Shan, Sifan Zhou, Yubo Cui, Zheng Fang
PTT module in the voting stage could model the interactions among point patches, which learns context-dependent features.
no code implementations • 29 Jun 2022 • Zheng Fang, Xiongwei Zhang, Tieyong Cao, Yunfei Zheng, Meng Sun
Comprehensive experimental results and analysis reveals that 1) the most widely used human natural skeleton structure adjacency matrix is unsuitable in skeleton-based action recognition; 2) The proposed adjacency matrix is superior in model performance, noise robustness and transferability.
no code implementations • 19 May 2022 • Zheng Fang, Biao Zhao, Guizhong Liu
For visual representation, a representation driven by a combination of the imageaugmented forward dynamics and the reward is acquired.
1 code implementation • NAACL 2022 • Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
1 code implementation • 28 Oct 2021 • Yubo Cui, Zheng Fang, Jiayao Shan, Zuoxu Gu, Sifan Zhou
By using cross-attention, the transformer decoder fuses features and includes more target cues into the current point cloud feature to compute the region attentions, which makes the similarity computing more efficient.
1 code implementation • 17 Oct 2021 • Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
Many works have investigated the adversarial attacks or defenses under the settings where a bounded and imperceptible perturbation can be added to the input.
1 code implementation • 14 Aug 2021 • Jiayao Shan, Sifan Zhou, Zheng Fang, Yubo Cui
Our code is open-sourced for the robotics community at https://github. com/shanjiayao/PTT.
no code implementations • 12 Aug 2021 • Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer
Then, to fuse the information of features in the two branches and obtain their similarity, we propose two cross correlation modules, named Pointcloud-wise and Point-wise respectively.
no code implementations • ACL 2021 • Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang
In this paper, we conceptualize the single-document extractive summarization as a rebalance problem and present a deep differential amplifier framework.
no code implementations • 1 Aug 2021 • Qihui Chen, Zheng Fang, Xun Huang
We develop a Stata command, bootranktest, for implementing the matrix rank test of Chen and Fang (2019) in linear instrumental variable regression models.
no code implementations • 26 Jul 2021 • Zheng Fang
This paper makes the following original contributions.
1 code implementation • 24 Jun 2021 • Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
However, the representation ability of such models is limited due to: (1) shallow GNNs are incapable to capture long-range spatial correlations, (2) only spatial connections are considered and a mass of semantic connections are ignored, which are of great importance for a comprehensive understanding of traffic networks.
Ranked #11 on Traffic Prediction on PeMS07
1 code implementation • 4 Jun 2021 • Zekun Luo, Zheng Fang, Sixiao Zheng, Yabiao Wang, Yanwei Fu
Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in crowd occlusion scenes.
Ranked #6 on Pedestrian Detection on Caltech
no code implementations • Findings (ACL) 2021 • Zheng Fang, Yulan He, Rob Procter
Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus.
no code implementations • 20 Jan 2021 • Xingyin Fu, Zheng Fang, Xizhen Xiao, Yijia He, Xiao Liu
In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLAM and pure localization to improve the accuracy of mapping and localization.
no code implementations • 30 Nov 2020 • Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie
Further analysis indicates that the locality and globality of the traffic networks are critical to traffic flow prediction and the proposed TSSRGCN model can adapt to the various temporal traffic patterns.
no code implementations • 6 Nov 2020 • Delei Kong, Zheng Fang, Haojia Li, Kuanxu Hou, Sonya Coleman, Dermot Kerr
In this paper, we propose an end-to-end visual place recognition network for event cameras, which can achieve good place recognition performance in challenging environments.
no code implementations • 18 Sep 2020 • Zheng Fang, Andres Santos, Azeem M. Shaikh, Alexander Torgovitsky
This paper considers the problem of testing whether there exists a non-negative solution to a possibly under-determined system of linear equations with known coefficients.
no code implementations • 11 Jul 2020 • Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He
3D human segmentation has seen noticeable progress in re-cent years.
1 code implementation • Geoscientific Model Development 2019 • Xiaomeng Huang, Xing Huang, Dong Wang, Qi Wu, Yi Li, Shixun Zhang, YuWen Chen, Mingqing Wang, Yuan Gao, Qiang Tang, Yue Chen, Zheng Fang, Zhenya Song, Guangwen Yang
In this work, we design a simple computing library to bridge the gap and decouple the work of ocean modeling from parallel computing.
no code implementations • 17 Oct 2019 • Zheng Fang, Juwon Seo
Based on a monotonicity property afforded by such a geometric structure, we construct a bootstrap procedure that, unlike many studies in nonstandard settings, dispenses with estimation of local parameter spaces, and the critical values are obtained in a way as simple as computing the test statistic.
no code implementations • 6 Jul 2019 • Zheng Fang, Adrian S. Wong, Kangbo Hao, Alexander J. A. Ty, Henry D. I. Abarbanel
In this paper, we develop a systematic formulation based on Monte Carlo sampling to achieve such information transfer.
2 code implementations • 25 Mar 2019 • Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li
Recovering 3D human body shape and pose from 2D images is a challenging task due to high complexity and flexibility of human body, and relatively less 3D labeled data.
no code implementations • 12 Feb 2019 • Alexander J. A. Ty, Zheng Fang, Rivver A. Gonzalez, Paul J. Rozdeba, Henry D. I. Abarbanel
We proceed from a scalar time series $s(t_n); t_n = t_0 + n \Delta t$ and using methods of nonlinear time series analysis show how to produce a $D_E > 1$ dimensional time delay embedding space in which the time series has no false neighbors as does the observed $s(t_n)$ time series.
no code implementations • 1 Feb 2019 • Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhen-Yu Zhang, Yanbing Liu
Entity linking is the task of aligning mentions to corresponding entities in a given knowledge base.
Ranked #6 on Entity Disambiguation on AIDA-CoNLL
1 code implementation • 14 Dec 2018 • Jiong Tao, Juyong Zhang, Bailin Deng, Zheng Fang, Yue Peng, Ying He
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes.
Graphics
no code implementations • 8 Nov 2018 • Weichen Dai, Yu Zhang, Ping Li, Zheng Fang, Sebastian Scherer
This method utilizes the correlation between map points to separate points that are part of the static scene and points that are part of different moving objects into different groups.
no code implementations • 15 Oct 2014 • Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo
In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased computation time.