no code implementations • 4 Apr 2025 • Boyuan Wang, Runqi Ouyang, XiaoFeng Wang, Zheng Zhu, Guosheng Zhao, Chaojun Ni, Guan Huang, Lihong Liu, Xingang Wang
Single-image human reconstruction is vital for digital human modeling applications but remains an extremely challenging task.
no code implementations • 3 Apr 2025 • Chaojun Ni, XiaoFeng Wang, Zheng Zhu, Weijie Wang, Haoyun Li, Guosheng Zhao, Jie Li, Wenkang Qin, Guan Huang, Wenjun Mei
Interactive 3D generation is gaining momentum and capturing extensive attention for its potential to create immersive virtual experiences.
no code implementations • 31 Mar 2025 • Boyuan Wang, XiaoFeng Wang, Chaojun Ni, Guosheng Zhao, Zhiqin Yang, Zheng Zhu, Muyang Zhang, Yukun Zhou, Xinze Chen, Guan Huang, Lihong Liu, Xingang Wang
To address this, we propose HumanDreamer, a decoupled human video generation framework that first generates diverse poses from text prompts and then leverages these poses to generate human-motion videos.
no code implementations • 24 Mar 2025 • Guosheng Zhao, XiaoFeng Wang, Chaojun Ni, Zheng Zhu, Wenkang Qin, Guan Huang, Xingang Wang
Specifically, on Waymo, ReconDreamer++ achieves performance comparable to Street Gaussians for the original trajectory while significantly outperforming ReconDreamer on novel trajectories.
no code implementations • 8 Mar 2025 • Yifan Chang, JunJie Huang, XiaoFeng Wang, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du, Xingang Wang
Although sparse-point methods lower computational load and maintain high accuracy in complex lane geometries, current methods fail to fully leverage the geometric structure of lanes in both lane geometry representations and model design.
no code implementations • 25 Feb 2025 • XiaoFeng Wang, Zhixin Zhang, Jinguang Zheng, Yiming Ai, Rui Wang
Debt collection negotiations (DCN) are vital for managing non-performing loans (NPLs) and reducing creditor losses.
no code implementations • 3 Feb 2025 • Yuyang Gong, Zhuo Chen, Miaokun Chen, Fengchang Yu, Wei Lu, XiaoFeng Wang, Xiaozhong Liu, Jiawei Liu
Retrieval-Augmented Generation (RAG) systems based on Large Language Models (LLMs) have become essential for tasks such as question answering and content generation.
1 code implementation • 23 Jan 2025 • XiaoFeng Wang, Yiming Wang, Wenhong Zhu, Rui Wang
Geometric ability is a significant challenge for large language models (LLMs) due to the need for advanced spatial comprehension and abstract thinking.
no code implementations • 9 Jan 2025 • Peizhuo Lv, Mengjie Sun, Hao Wang, XiaoFeng Wang, Shengzhi Zhang, Yuxuan Chen, Kai Chen, Limin Sun
To address those problems, we propose a novel black-box "knowledge watermark" approach, named RAG-WM, to detect IP infringement of RAGs.
no code implementations • 15 Dec 2024 • Bohan Li, Xin Jin, Jianan Wang, Yukai Shi, Yasheng Sun, XiaoFeng Wang, Zhuang Ma, Baao Xie, Chao Ma, Xiaokang Yang, Wenjun Zeng
Within OccScene, the perception module can be effectively improved with customized and diverse generated scenes, while the perception priors in return enhance the generation performance for mutual benefits.
no code implementations • 11 Dec 2024 • Bohan Li, Xin Jin, Jiajun Deng, Yasheng Sun, XiaoFeng Wang, Wenjun Zeng
Camera-based 3D Semantic Occupancy Prediction (SOP) is crucial for understanding complex 3D scenes from limited 2D image observations.
3D Semantic Occupancy Prediction
LIDAR Semantic Segmentation
+2
no code implementations • 10 Dec 2024 • Xin Zhao, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao, Xiaojun Jia, Xinfeng Li, XiaoFeng Wang
The rise of deep learning models in the digital era has raised substantial concerns regarding the generation of Not-Safe-for-Work (NSFW) content.
no code implementations • 29 Nov 2024 • Chaojun Ni, Guosheng Zhao, XiaoFeng Wang, Zheng Zhu, Wenkang Qin, Guan Huang, Chen Liu, Yuyin Chen, Yida Wang, Xueyang Zhang, Yifei Zhan, Kun Zhan, Peng Jia, Xianpeng Lang, Xingang Wang, Wenjun Mei
This is complemented by a progressive data update strategy designed to ensure high-quality rendering for more complex maneuvers.
no code implementations • 28 Nov 2024 • Feng Liu, Shiwei Zhang, XiaoFeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, Fang Wan
As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising.
no code implementations • 13 Nov 2024 • XiaoFeng Wang, Kang Zhao, Feng Liu, Jiayu Wang, Guosheng Zhao, Xiaoyi Bao, Zheng Zhu, Yingya Zhang, Xingang Wang
Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments.
no code implementations • 24 Oct 2024 • Wenhong Zhu, Zhiwei He, XiaoFeng Wang, PengFei Liu, Rui Wang
Aligning language models (LMs) with human preferences has become a key area of research, enabling these models to meet diverse user needs better.
no code implementations • 17 Oct 2024 • Guosheng Zhao, Chaojun Ni, XiaoFeng Wang, Zheng Zhu, Xueyang Zhang, Yida Wang, Guan Huang, Xinze Chen, Boyuan Wang, Youyi Zhang, Wenjun Mei, Xingang Wang
Contemporary sensor simulation methods, such as NeRF and 3DGS, rely predominantly on conditions closely aligned with training data distributions, which are largely confined to forward-driving scenarios.
1 code implementation • 15 Oct 2024 • Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, XiaoFeng Wang, Wei Wang, Jianke Zhu
Extensive experiments on a range of LLMs, PEFTs, and downstream tasks substantiate the effectiveness of our proposed method, showcasing IST's capacity to enhance existing layer-based PEFT methods.
no code implementations • 15 Sep 2024 • Yuehan Zhang, Peizhuo Lv, Yinpeng Liu, Yongqiang Ma, Wei Lu, XiaoFeng Wang, Xiaozhong Liu, Jiawei Liu
To the best of our knowledge, this is a pioneer study to explore personalized watermarking in LLMs.
no code implementations • 24 Jul 2024 • Xin Zhang, Yuqi Song, Wyatt McCurdy, XiaoFeng Wang, Fei Zuo
These remarkable achievements are greatly attributed to the support of extensive datasets with precise labels.
no code implementations • 15 Jul 2024 • Penglei Gao, Kai Yao, Tiandi Ye, Steven Wang, Yuan YAO, XiaoFeng Wang
In this paper, we tackle the recently popular topic of generating 360-degree images given the conventional narrow field of view (NFoV) images that could be taken from a single camera or cellphone.
1 code implementation • 6 May 2024 • Zheng Zhu, XiaoFeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng, Min Dou, Yuqi Wang, Botian Shi, Kai Wang, Chi Zhang, Yang You, Zhaoxiang Zhang, Dawei Zhao, Liang Xiao, Jian Zhao, Jiwen Lu, Guan Huang
General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual environments to decision-making systems.
no code implementations • 26 Apr 2024 • Zhentao Xu, Mark Jerome Cruz, Matthew Guevara, Tie Wang, Manasi Deshpande, XiaoFeng Wang, Zheng Li
In customer service technical support, swiftly and accurately retrieving relevant past issues is critical for efficiently resolving customer inquiries.
no code implementations • 11 Mar 2024 • Guosheng Zhao, XiaoFeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, Xingang Wang
DriveDreamer-2 is the first world model to generate customized driving videos, it can generate uncommon driving videos (e. g., vehicles abruptly cut in) in a user-friendly manner.
no code implementations • 5 Mar 2024 • ZiHao Wang, Rui Zhu, Dongruo Zhou, Zhikun Zhang, John Mitchell, Haixu Tang, XiaoFeng Wang
DPAdapter modifies and enhances the sharpness-aware minimization (SAM) technique, utilizing a two-batch strategy to provide a more accurate perturbation estimate and an efficient gradient descent, thereby improving parameter robustness against noise.
no code implementations • 18 Jan 2024 • XiaoFeng Wang, Zheng Zhu, Guan Huang, Boyuan Wang, Xinze Chen, Jiwen Lu
World models play a crucial role in understanding and predicting the dynamics of the world, which is essential for video generation.
1 code implementation • 6 Jan 2024 • Zilong Lin, Jian Cui, Xiaojing Liao, XiaoFeng Wang
The underground exploitation of large language models (LLMs) for malicious services (i. e., Malla) is witnessing an uptick, amplifying the cyber threat landscape and posing questions about the trustworthiness of LLM technologies.
1 code implementation • 25 Dec 2023 • Andong Lu, Chenglong Li, Tianrui Zha, Jin Tang, XiaoFeng Wang, Bin Luo
Prevalent nighttime person re-identification (ReID) methods typically combine image relighting and ReID networks in a sequential manner.
1 code implementation • 9 Nov 2023 • Licheng Wen, Xuemeng Yang, Daocheng Fu, XiaoFeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, Yu Qiao
This has been a significant bottleneck, particularly in the development of common sense reasoning and nuanced scene understanding necessary for safe and reliable autonomous driving.
1 code implementation • 24 Oct 2023 • Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, ZiHao Wang, Liya Su, Zhikun Zhang, XiaoFeng Wang, Haixu Tang
In our research, we propose a novel attack, Janus, which exploits the fine-tuning interface to recover forgotten PIIs from the pre-training data in LLMs.
no code implementations • 28 Sep 2023 • Xiaotian Zhou, Qian Wang, XiaoFeng Wang, Haixu Tang, Xiaozhong Liu
Large language models (LLMs) have demonstrated human-level performance on a vast spectrum of natural language tasks.
no code implementations • 26 Sep 2023 • Alphan Sahin, XiaoFeng Wang
In this study, we propose a non-coherent over-the-air computation scheme to calculate the majority vote (MV) reliably in fading channels.
no code implementations • 18 Sep 2023 • XiaoFeng Wang, Zheng Zhu, Guan Huang, Xinze Chen, Jiagang Zhu, Jiwen Lu
The established world model holds immense potential for the generation of high-quality driving videos, and driving policies for safe maneuvering.
1 code implementation • ICCV 2023 • Rabab Abdelfattah, Qing Guo, Xiaoguang Li, XiaoFeng Wang, Song Wang
Using the aggregated similarity scores as the initial pseudo labels at the training stage, we propose an optimization framework to train the parameters of the classification network and refine pseudo labels for unobserved labels.
no code implementations • 31 Jul 2023 • Xin Zhang, Yuqi Song, Fei Zuo, XiaoFeng Wang
In this work, we address the issue of label imbalance and investigate how to train classifiers using partial labels in large labeling spaces.
1 code implementation • 8 Jun 2023 • Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, ZiHao Wang, XiaoFeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, Yang Liu
We deploy HouYi on 36 actual LLM-integrated applications and discern 31 applications susceptible to prompt injection.
no code implementations • 22 Apr 2023 • Zilong Lin, Zhengyi Li, Xiaojing Liao, XiaoFeng Wang, Xiaozhong Liu
As a prominent instance of vandalism edits, Wiki search poisoning for illicit promotion is a cybercrime in which the adversary aims at editing Wiki articles to promote illicit businesses through Wiki search results of relevant queries.
no code implementations • 3 Apr 2023 • Xin Zhang, Yuqi Song, XiaoFeng Wang, Fei Zuo
However, concerns have been raised with respect to the trustworthiness of these models: The standard testing method evaluates the performance of a model on a test set, while low-quality and insufficient test sets can lead to unreliable evaluation results, which can have unforeseeable consequences.
1 code implementation • 24 Mar 2023 • Bohan Li, Yasheng Sun, Zhujin Liang, Dalong Du, Zhuanghui Zhang, XiaoFeng Wang, Yunnan Wang, Xin Jin, Wenjun Zeng
However, due to the inherent representation gap between stereo geometry and BEV features, it is non-trivial to bridge them for dense prediction task of SSC.
1 code implementation • 16 Mar 2023 • Mengxin Zheng, Jiaqi Xue, ZiHao Wang, Xun Chen, Qian Lou, Lei Jiang, XiaoFeng Wang
Using a pre-trained SSL image encoder and subsequently training a downstream classifier, impressive performance can be achieved on various tasks with very little labeled data.
1 code implementation • ICCV 2023 • XiaoFeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang
Towards a comprehensive benchmarking of surrounding perception algorithms, we propose OpenOccupancy, which is the first surrounding semantic occupancy perception benchmark.
no code implementations • 30 Jan 2023 • Xintao Chu, Jianping Liu, Jian Wang, XiaoFeng Wang, Yingfei Wang, Meng Wang, Xunxun Gu
As the number of open and shared scientific datasets on the Internet increases under the open science movement, efficiently retrieving these datasets is a crucial task in information retrieval (IR) research.
no code implementations • 29 Jan 2023 • Rui Zhu, Di Tang, Siyuan Tang, Guanhong Tao, Shiqing Ma, XiaoFeng Wang, Haixu Tang
Finally, we perform both theoretical and experimental analysis, showing that the GRASP enhancement does not reduce the effectiveness of the stealthy attacks against the backdoor detection methods based on weight analysis, as well as other backdoor mitigation methods without using detection.
no code implementations • 19 Jan 2023 • Yingfei Wang, Jianping Liu, Jian Wang, XiaoFeng Wang, Meng Wang, Xintao Chu
In this paper, We use Transformer as the backbone network of feature extraction, add filter layer innovatively, and propose a new Filter-Enhanced Transformer Click Model (FE-TCM) for web search.
1 code implementation • CVPR 2023 • XiaoFeng Wang, Zheng Zhu, Yunpeng Zhang, Guan Huang, Yun Ye, Wenbo Xu, Ziwei Chen, Xingang Wang
To mitigate the problem, we propose the Autonomous-driving StreAming Perception (ASAP) benchmark, which is the first benchmark to evaluate the online performance of vision-centric perception in autonomous driving.
no code implementations • 9 Dec 2022 • Rui Zhu, Di Tang, Siyuan Tang, XiaoFeng Wang, Haixu Tang
Our idea is to retrain a given DNN model on randomly labeled clean data, to induce a CF on the model, leading to a sudden forget on both primary and backdoor tasks; then we recover the primary task by retraining the randomized model on correctly labeled clean data.
no code implementations • 24 Oct 2022 • Xin Zhang, Rabab Abdelfattah, Yuqi Song, Samuel A. Dauchert, XiaoFeng Wang
Depth information is the foundation of perception, essential for autonomous driving, robotics, and other source-constrained applications.
no code implementations • 24 Oct 2022 • Xin Zhang, Rabab Abdelfattah, Yuqi Song, XiaoFeng Wang
Through comprehensive experiments on three large-scale multi-label image datasets, i. e. MS-COCO, NUS-WIDE, and Pascal VOC12, we show that our method can handle the imbalance between positive labels and negative labels, while still outperforming existing missing-label learning approaches in most cases, and in some cases even approaches with fully labeled datasets.
no code implementations • 20 Oct 2022 • Rabab Abdelfattah, Xin Zhang, Mostafa M. Fouda, XiaoFeng Wang, Song Wang
To effectively address partial-label classification, this paper proposes an end-to-end Generic Game-theoretic Network (G2NetPL) for partial-label learning, which can be applied to most partial-label settings, including a very challenging, but annotation-efficient case where only a subset of the training images are labeled, each with only one positive label, while the rest of the training images remain unlabeled.
no code implementations • 12 Oct 2022 • Di Tang, Rui Zhu, XiaoFeng Wang, Haixu Tang, Yi Chen
With extensive studies on backdoor attack and detection, still fundamental questions are left unanswered regarding the limits in the adversary's capability to attack and the defender's capability to detect.
1 code implementation • 14 Sep 2022 • Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, XiaoFeng Wang, Wei Lu, Xiaozhong Liu
In this study, we propose an imitation adversarial attack on black-box neural passage ranking models.
no code implementations • 24 Aug 2022 • Yuanliang Zhang, XiaoFeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang
we summarize three practical challenges which are not well solved for multi-scenario modeling: (1) Lacking of fine-grained and decoupled information transfer controls among multiple scenarios.
no code implementations • 22 Aug 2022 • Rabab Abdelfattah, Xin Zhang, Zhenyao Wu, Xinyi Wu, XiaoFeng Wang, Song Wang
A special case is to annotate only one positive label in each training image.
1 code implementation • 19 Aug 2022 • XiaoFeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye, Ziwei Chen, Xingang Wang
In contrast, multi-frame depth estimation methods improve the depth accuracy thanks to the success of Multi-View Stereo (MVS), which directly makes use of geometric constraints.
1 code implementation • 15 Apr 2022 • XiaoFeng Wang, Zheng Zhu, Fangbo Qin, Yun Ye, Guan Huang, Xu Chi, Yijia He, Xingang Wang
Therefore, we present MVSTER, which leverages the proposed epipolar Transformer to learn both 2D semantics and 3D spatial associations efficiently.
no code implementations • 14 Apr 2022 • Rabab Abdelfattah, XiaoFeng Wang, Song Wang
Accurate segmentation of power lines in various aerial images is very important for UAV flight safety.
no code implementations • 24 Feb 2022 • Zhize Wu, Huanyi Li, XiaoFeng Wang, Zijun Wu, Le Zou, Lixiang Xu, Ming Tan
Household garbage images are usually faced with complex backgrounds, variable illuminations, diverse angles, and changeable shapes, which bring a great difficulty in garbage image classification.
no code implementations • 12 Feb 2022 • Zhize Wu, XiaoFeng Wang, Tong Xu, Xuebin Yang, Le Zou, Lixiang Xu, Thomas Weise
We embed a domain classification network in the region proposal network~(RPN) using adversarial learning.
no code implementations • 24 Jun 2021 • Peiyuan Zhu, XiaoFeng Wang, Zisen Sang, Aiquan Yuan, Guodong Cao
Hence, in this paper, we propose a context-aware heterogeneous graph attention network (CHGAT) to dynamically generate the representation of the user and to estimate the probability for future behavior.
1 code implementation • 19 Mar 2021 • Yuxuan Chen, Jiangshan Zhang, Xuejing Yuan, Shengzhi Zhang, Kai Chen, XiaoFeng Wang, Shanqing Guo
In this paper, we present our systematization of knowledge for ASR security and provide a comprehensive taxonomy for existing work based on a modularized workflow.
no code implementations • 18 Feb 2021 • Chengyuan Wu, Dongdong Liu, XiaoFeng Wang, Bo wang
The progenitor systems accounting for explosions of type Ia supernovae (SNe Ia) is still under debate.
Solar and Stellar Astrophysics
no code implementations • 18 Feb 2021 • Jorge Melegati, Eduardo Guerra, XiaoFeng Wang
Regarding the first, it provides a better understanding of the guidance founders use to develop their startups and, for the latter, a technique to identify hypotheses in early-stage software startups.
Computers and Society
no code implementations • 21 Jan 2021 • Xiangyun Zeng, XiaoFeng Wang, Ali Esamdin, Craig Pellegrino, WeiKang Zheng, Jujia Zhang, Jun Mo, Wenxiong Li, D. Andrew Howell, Alexei V. Filippenko, Han Lin, Thomas G. Brink, Edward A. Baron, Jamison Burke, James M. DerKacy, Curtis McCully, Daichi Hiramatsu, Griffin Hosseinzadeh, Benjamin T. Jeffers, Timothy W. Ross, Benjamin E. Stahl, Samantha Stegman, Stefano Valenti, Lifan Wang, Danfeng Xiang, Jicheng Zhang, Tianmeng Zhang
We present extensive, well-sampled optical and ultraviolet photometry and optical spectra of the Type Ia supernova (SN Ia) 2017hpa.
High Energy Astrophysical Phenomena Solar and Stellar Astrophysics
no code implementations • 5 Nov 2020 • Dominic Seyler, Wei Liu, XiaoFeng Wang, ChengXiang Zhai
Dark jargons are benign-looking words that have hidden, sinister meanings and are used by participants of underground forums for illicit behavior.
1 code implementation • 20 Oct 2020 • Rabab Abdelfattah, XiaoFeng Wang, Song Wang
Accurate detection and segmentation of transmission towers~(TTs) and power lines~(PLs) from aerial images plays a key role in protecting power-grid security and low-altitude UAV safety.
1 code implementation • 7 Oct 2020 • Paul Ralph, Nauman bin Ali, Sebastian Baltes, Domenico Bianculli, Jessica Diaz, Yvonne Dittrich, Neil Ernst, Michael Felderer, Robert Feldt, Antonio Filieri, Breno Bernard Nicolau de França, Carlo Alberto Furia, Greg Gay, Nicolas Gold, Daniel Graziotin, Pinjia He, Rashina Hoda, Natalia Juristo, Barbara Kitchenham, Valentina Lenarduzzi, Jorge Martínez, Jorge Melegati, Daniel Mendez, Tim Menzies, Jefferson Molleri, Dietmar Pfahl, Romain Robbes, Daniel Russo, Nyyti Saarimäki, Federica Sarro, Janet Siegmund, Diomidis Spinellis, Miroslaw Staron, Klaas Stol, Margaret-Anne Storey, Davide Taibi, Damian Tamburri, Marco Torchiano, Christoph Treude, Burak Turhan, XiaoFeng Wang, Sira Vegas
Empirical Standards are natural-language models of a scientific community's expectations for a specific kind of study (e. g. a questionnaire survey).
Software Engineering General Literature
1 code implementation • RSC advances 2020 • Mingjian Jiang, Zhen Li, Shugang Zhang, Shuang Wang, XiaoFeng Wang, Qing Yuan, Zhiqiang Wei
Computer-aided drug design uses high-performance computers to simulate the tasks in drug design, which is a promising research area.
Ranked #3 on
Drug Discovery
on LIT-PCBA(ESR1_ant)
no code implementations • 13 Feb 2018 • Di Tang, XiaoFeng Wang, Kehuan Zhang
To launch black-box attacks against a Deep Neural Network (DNN) based Face Recognition (FR) system, one needs to build \textit{substitute} models to simulate the target model, so the adversarial examples discovered from substitute models could also mislead the target model.