no code implementations • LT4HALA (LREC) 2022 • Yutong Shen, Jiahuan Li, ShuJian Huang, Yi Zhou, Xiaopeng Xie, Qinxin Zhao
Although SikuRoberta significantly boosts performance on WSG and POS tasks on ancient Chinese texts, the lack of labeled data still limits the performance of the model.
no code implementations • EMNLP 2021 • Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang
Based on these studies, we propose a genetic algorithm to find an ensemble of models that can be used to induce adversarial examples to fool almost all existing models.
no code implementations • ACL 2022 • Yi Zhou, Masahiro Kaneko, Danushka Bollegala
Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word.
no code implementations • 14 Apr 2025 • Jiaxin Lu, Chun-Hao Paul Huang, Uttaran Bhattacharya, QiXing Huang, Yi Zhou
We present Human Motions with Objects (HUMOTO), a high-fidelity dataset of human-object interactions for motion generation, computer vision, and robotics applications.
no code implementations • 4 Apr 2025 • Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra, Jia-Bin Huang, Uttaran Bhattacharya
Additionally, we harness the capabilities of a pretrained language model to predict both continuous shape parameters and motion tokens, facilitating the synthesis of text-aligned motions and decoding them into shape-aware motions.
no code implementations • 31 Mar 2025 • Jin Zhou, Yi Zhou, Pengfei Xu, Hui Huang
It contains a dual-modal sketch feature learning network that maps strokes into a high-quality latent space.
no code implementations • 29 Mar 2025 • Yufeng Yang, Yi Zhou, Zhaosong Lu
For this class of regularized DRO problems, we derive a novel dual formulation taking the form of nested stochastic programming, where the dual variable depends on the data sample.
no code implementations • 28 Mar 2025 • Weichen Dai, Zijie Dai, Zhijie Huang, Yixuan Pan, Xinhe Li, Xi Li, Yi Zhou, Ji Qi, Wu Jiang
While current large language models (LLMs) demonstrate remarkable linguistic capabilities through training on massive unstructured text corpora, they remain inadequate in leveraging structured scientific data (e. g., chemical molecular properties in databases) that encapsulate centuries of accumulated scientific expertise.
no code implementations • 26 Mar 2025 • Haiyang Liu, Zhan Xu, Fa-Ting Hong, Hsin-Ping Huang, Yi Zhou, Yang Zhou
HMInterp i) employs a dual-branch interpolation approach, combining a Motion Diffusion Model for human skeleton motion interpolation with a diffusion-based video frame interpolation model for final frame generation.
no code implementations • 26 Mar 2025 • Ao Fu, Ziqi Ni, Yi Zhou
The generation of audio-driven talking head videos is a key challenge in computer vision and graphics, with applications in virtual avatars and digital media.
no code implementations • 23 Mar 2025 • Wei-Na Li, Yi Zhou, Jiatai Chen, Hongjie Ou, XiangSheng Xie
Based on the mean intensity and equivalent diameter of each candidate focused particle, all focused particles are eventually secured.
no code implementations • 21 Mar 2025 • Gaifan Zhang, Yi Zhou, Danushka Bollegala
The meaning conveyed by a sentence often depends on the context in which it appears.
1 code implementation • 10 Mar 2025 • Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Seid Muhie Yimam, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Tadesse Destaw Belay, Ibrahim Said Ahmad, Nirmal Surange, Daniela Teodorescu, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino Ali, Vladimir Araujo, Abinew Ali Ayele, Oana Ignat, Alexander Panchenko, Yi Zhou, Saif M. Mohammad
The data instances are multi-labeled into six emotional classes, with additional datasets in 11 languages annotated for emotion intensity.
1 code implementation • 10 Mar 2025 • Sheng Luo, Yi Zhou, Tao Zhou
In this work, we investigate $\textbf{Universal Incremental Learning (UIL)}$, where a model neither knows which new classes or domains will increase along sequential tasks, nor the scale of the increments within each task.
no code implementations • 6 Mar 2025 • Ziqi Ni, Ao Fu, Yi Zhou
To address this, we propose a FREquency-modulated, high-fidelity, and real-time Audio-driven talKing portrait synthesis framework, named FREAK, which models talking portraits from the frequency domain perspective, enhancing the fidelity and naturalness of the synthesized portraits.
no code implementations • 24 Feb 2025 • Tianhui Zhang, Yi Zhou, Danushka Bollegala
Retrieval Augmented Generation (RAG) has gained popularity as a method for conveniently incorporating novel facts that were not seen during the pre-training stage in Large Language Model (LLM)-based Natural Language Generation (NLG) systems.
no code implementations • 19 Feb 2025 • Hajar Emami Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah. Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan-Chi Chang, Xuan-Hong Dang, Nirmit Desai, Ravital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuyo Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlager, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee
In this paper, we introduce GneissWeb, a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training LLMs.
1 code implementation • 17 Feb 2025 • Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin, Jan Philip Wahle, Terry Ruas, Meriem Beloucif, Christine de Kock, Nirmal Surange, Daniela Teodorescu, Ibrahim Said Ahmad, David Ifeoluwa Adelani, Alham Fikri Aji, Felermino D. M. A. Ali, Ilseyar Alimova, Vladimir Araujo, Nikolay Babakov, Naomi Baes, Ana-Maria Bucur, Andiswa Bukula, Guanqun Cao, Rodrigo Tufino Cardenas, Rendi Chevi, Chiamaka Ijeoma Chukwuneke, Alexandra Ciobotaru, Daryna Dementieva, Murja Sani Gadanya, Robert Geislinger, Bela Gipp, Oumaima Hourrane, Oana Ignat, Falalu Ibrahim Lawan, Rooweither Mabuya, Rahmad Mahendra, Vukosi Marivate, Andrew Piper, Alexander Panchenko, Charles Henrique Porto Ferreira, Vitaly Protasov, Samuel Rutunda, Manish Shrivastava, Aura Cristina Udrea, Lilian Diana Awuor Wanzare, Sophie Wu, Florian Valentin Wunderlich, Hanif Muhammad Zhafran, Tianhui Zhang, Yi Zhou, Saif M. Mohammad
In this paper, we present BRIGHTER-- a collection of multilabeled emotion-annotated datasets in 28 different languages.
no code implementations • 7 Feb 2025 • Minrui Chen, Yi Zhou, Huidong Jiang, Yuhan Zhu, Guanjie Zou, Minqi Chen, Rong Tian, Hiroto Saigo
By combining the strengths of pretrained large models and deep learning, MedMimic offers a promising solution for disease classification.
1 code implementation • 27 Jan 2025 • Ruiqi Wu, Na Su, Chenran Zhang, Tengfei Ma, Tao Zhou, Zhiting Cui, Nianfeng Tang, Tianyu Mao, Yi Zhou, Wen Fan, Tianxing Wu, Shenqi Jing, Huazhu Fu
Vision-language pretraining (VLP) has been investigated to generalize across diverse downstream tasks for fundus image analysis.
no code implementations • 25 Jan 2025 • Yi Zhou, Naman Goel
In the first stage, a global model is trained without fairness constraints using a standard federated learning algorithm (e. g. FedAvg).
no code implementations • 23 Jan 2025 • Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz, Oshani Seneviratne
Dataset distillation generates a small set of information-rich instances from a large dataset, resulting in reduced storage requirements, privacy or copyright risks, and computational costs for downstream modeling, though much of the research has focused on the image data modality.
no code implementations • 17 Jan 2025 • Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu, Qian Zhao, Le Song, Qing Li
As a result, researchers have actively introduced LLM techniques in computational protein science, developing protein Language Models (pLMs) that skillfully grasp the foundational knowledge of proteins and can be effectively generalized to solve a diversity of sequence-structure-function reasoning problems.
no code implementations • 31 Dec 2024 • Wei Chen, Yi Zhou
This paper discovers a counter-intuitive observation: by incorporating domain shift into CIL tasks, the forgetting rate is significantly reduced.
no code implementations • 23 Dec 2024 • Weijie Lyu, Yi Zhou, Ming-Hsuan Yang, Zhixin Shu
Our pipeline begins by employing a multi-view latent diffusion model that generates consistent side and back views of the head from a single facial input.
no code implementations • 21 Dec 2024 • Sanghyun Son, Matheus Gadelha, Yang Zhou, Matthew Fisher, Zexiang Xu, Yi-Ling Qiao, Ming C. Lin, Yi Zhou
Recent probabilistic methods for 3D triangular meshes capture diverse shapes by differentiable mesh connectivity, but face high computational costs with increased shape details.
1 code implementation • 18 Dec 2024 • Kaiwen Huang, Tao Zhou, Huazhu Fu, Yizhe Zhang, Yi Zhou, Chen Gong, Dong Liang
In this paper, we propose a learnable prompting SAM-induced Knowledge distillation framework (KnowSAM) for semi-supervised medical image segmentation.
no code implementations • 6 Dec 2024 • Kaizhen Sun, Jinghang Li, Kuan Dai, Bangyan Liao, Wei Xiong, Yi Zhou
To explore the potential of event cameras in the above-mentioned challenging cases, we propose EvTTC, which is, to the best of our knowledge, the first multi-sensor dataset focusing on TTC tasks under high-relative-speed scenarios.
no code implementations • 8 Nov 2024 • Yiming Ma, Fei Ye, Yi Zhou, Zaixiang Zheng, Dongyu Xue, Quanquan Gu
Comprehensive experiments demonstrate that ProteinWeaver: (1) generates high-quality, novel protein backbones through versatile domain assembly; (2) outperforms RFdiffusion, the current state-of-the-art in backbone design, by 13\% and 39\% for long-chain proteins; (3) shows the potential for cooperative function design through illustrative case studies.
no code implementations • 5 Nov 2024 • Ao Fu, Yi Zhou, Tao Zhou, Yi Yang, Bojun Gao, Qun Li, Guobin Wu, Ling Shao
World models and video generation are pivotal technologies in the domain of autonomous driving, each playing a critical role in enhancing the robustness and reliability of autonomous systems.
no code implementations • 24 Oct 2024 • Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar
Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs.
1 code implementation • 20 Oct 2024 • Heshan Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen
Post-training of pre-trained LLMs, which typically consists of the supervised fine-tuning (SFT) stage and the preference learning (RLHF or DPO) stage, is crucial to effective and safe LLM applications.
no code implementations • 17 Oct 2024 • Yufeng Yang, Erin Tripp, Yifan Sun, Shaofeng Zou, Yi Zhou
Recent studies have shown that many nonconvex machine learning problems satisfy a generalized-smooth condition that extends beyond traditional smooth nonconvex optimization.
1 code implementation • 16 Oct 2024 • Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Yutong Wang, Adam Nohejl, Ubaidillah Ariq Prathama, Nedjma Ousidhoum, Afifa Amriani, Anar Rzayev, Anirban Das, Ashmari Pramodya, Aulia Adila, Bryan Wilie, Candy Olivia Mawalim, Ching Lam Cheng, Daud Abolade, Emmanuele Chersoni, Enrico Santus, Fariz Ikhwantri, Garry Kuwanto, Hanyang Zhao, Haryo Akbarianto Wibowo, Holy Lovenia, Jan Christian Blaise Cruz, Jan Wira Gotama Putra, Junho Myung, Lucky Susanto, Maria Angelica Riera Machin, Marina Zhukova, Michael Anugraha, Muhammad Farid Adilazuarda, Natasha Santosa, Peerat Limkonchotiwat, Raj Dabre, Rio Alexander Audino, Samuel Cahyawijaya, Shi-Xiong Zhang, Stephanie Yulia Salim, Yi Zhou, Yinxuan Gui, David Ifeoluwa Adelani, En-Shiun Annie Lee, Shogo Okada, Ayu Purwarianti, Alham Fikri Aji, Taro Watanabe, Derry Tanti Wijaya, Alice Oh, Chong-Wah Ngo
This benchmark includes a visual question answering (VQA) dataset with text-image pairs across 30 languages and dialects, spanning 9 language families and featuring over 1 million data points, making it the largest multicultural VQA benchmark to date.
1 code implementation • 12 Oct 2024 • Junkai Niu, Sheng Zhong, Xiuyuan Lu, Shaojie Shen, Guillermo Gallego, Yi Zhou
To this end, a compact back-end is proposed for continuously updating the IMU bias and predicting the linear velocity, enabling an accurate motion prediction for camera pose tracking.
no code implementations • 11 Oct 2024 • Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu
Cryo-electron microscopy (cryo-EM) is a powerful technique in structural biology and drug discovery, enabling the study of biomolecules at high resolution.
no code implementations • 27 Sep 2024 • Zhenxiang Xu, Yiping Liu, Yi Zhou, Yimin Hao, Zhengren Wang
We formulate the problem as the {\em top-$k$ $s$-biplex search (TBS) problem}, which aims to find the top-$k$ maximal $s$-biplexes with the most vertices, where $k$ is an input parameter.
no code implementations • 27 Sep 2024 • Weichen Dai, Yezeng Chen, Zijie Dai, Yubo Liu, Zhijie Huang, Yixuan Pan, Baiyang Song, Chengli Zhong, Xinhe Li, Zeyu Wang, Zhuoying Feng, Yi Zhou
Artificial intelligence is gradually demonstrating its immense potential, and increasing attention is being given to how AI can be harnessed to advance scientific research.
1 code implementation • 24 Sep 2024 • Ming Zhu, Yi Zhou
MOSS ensures consistency and adaptability by using a mechanism that maintains the Python context across interactions, including isolation of local variables and preservation of runtime integrity.
no code implementations • 6 Sep 2024 • Jinkun Cao, Jingyuan Liu, Kris Kitani, Yi Zhou
Compared to previous works of generating hand poses with a given object, we aim to allow the generalization of both hand and object shapes by a single model.
no code implementations • 20 Aug 2024 • Rui Yang, Jiahao Zhu, Jianping Man, Hongze Liu, Li Fang, Yi Zhou
This framework primarily includes a subgraph partitioning algorithm designed to generate negatives and neighbors.
1 code implementation • 28 Jul 2024 • Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Sören Pirk, Jorge Alejandro Amador Herrera, Dominik L. Michels, Tuanfeng Y. Wang, Meng Zhang, Holly Rushmeier, Yi Zhou
We present Perm, a learned parametric representation of human 3D hair designed to facilitate various hair-related applications.
no code implementations • 24 Jul 2024 • Xinhe Li, Zhuoying Feng, Yezeng Chen, Weichen Dai, Zixu He, Yi Zhou, Shuhong Jiao
Firstly, we adopt the publicly available MoLFormer model to obtain feature vectors for each solvent and salt in the electrolyte.
no code implementations • 23 Jul 2024 • Zeyu Wang, Weichen Dai, Xiangyu Zhou, Ji Qi, Yi Zhou
Vision Transformer and its variants have been adopted in many visual tasks due to their powerful capabilities, which also bring significant challenges in computation and storage.
1 code implementation • 23 Jul 2024 • Chunyu Luo, Yi Zhou, Zhengren Wang, Mingyu Xiao
In the paper, we propose a new branching algorithm that takes advantage of the structural properties of the $k$-defective clique and uses the efficient maximum clique algorithm as a subroutine.
no code implementations • 17 Jul 2024 • Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou
Its success in standard vision is attributed to the maturity of feature extraction, data association and multi-view geometry.
no code implementations • 17 Jul 2024 • Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Farhan Ahmed, Ling Cai, Nathalie Baracaldo
Moreover, we demonstrate that existing popular defenses are ineffective against our poisoning attacks.
no code implementations • 10 Jul 2024 • Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou
Predicting a potential collision with leading vehicles is an essential functionality of any autonomous/assisted driving system.
1 code implementation • 2 Jul 2024 • Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu
Our method can jointly learn both the implicit neural scene representation and recover the camera motion by minimizing the differences between the synthesized data and the real measurements without pre-computed camera poses from COLMAP.
1 code implementation • 27 Jun 2024 • Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen
Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance.
no code implementations • 24 Jun 2024 • Mingyang Zhang, Yi Zhou, Yi Ren, Chen Zhang, Xiang Yin, Haizhou Li
This paper proposes RefXVC, a method for cross-lingual voice conversion (XVC) that leverages reference information to improve conversion performance.
no code implementations • 19 Jun 2024 • Yi Zhou, Danushka Bollegala, Jose Camacho-Collados
Given that MLMs are continuously trained with increasing amounts of additional data collected over time, an important yet unanswered question is how the social biases encoded with MLMs vary over time.
no code implementations • 18 Jun 2024 • Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, HUI ZHANG, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang
These insights provide a pathway for developing more reliable HD map construction methods, which are essential for the advancement of autonomous driving technology.
no code implementations • 16 Jun 2024 • Xuehao Zhou, Mingyang Zhang, Yi Zhou, Zhizheng Wu, Haizhou Li
However, accurately and independently modeling both speaker and accent characteristics in text-to-speech (TTS) systems is challenging due to the complex variations of accents and the inherent entanglement between speaker and accent identities.
1 code implementation • 14 Jun 2024 • Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh
To address this issue, we introduce BLEnD, a hand-crafted benchmark designed to evaluate LLMs' everyday knowledge across diverse cultures and languages.
1 code implementation • 13 Jun 2024 • Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan
We demonstrate that our LRM-Zero, trained with our fully synthesized Zeroverse, can achieve high visual quality in the reconstruction of real-world objects, competitive with models trained on Objaverse.
no code implementations • 3 Jun 2024 • Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Specifically, existing studies show that AC converges to an $\epsilon+\varepsilon_{\text{critic}}$ neighborhood of stationary points with the best known sample complexity of $\mathcal{O}(\epsilon^{-2})$ (up to a log factor), and NAC converges to an $\epsilon+\varepsilon_{\text{critic}}+\sqrt{\varepsilon_{\text{actor}}}$ neighborhood of the global optimum with the best known sample complexity of $\mathcal{O}(\epsilon^{-3})$, where $\varepsilon_{\text{critic}}$ is the approximation error of the critic and $\varepsilon_{\text{actor}}$ is the approximation error induced by the insufficient expressive power of the parameterized policy class.
1 code implementation • 26 May 2024 • Tianchen Deng, Yi Zhou, Wenhua Wu, Mingrui Li, Jingwei Huang, Shuhong Liu, Yanzeng Song, Hao Zuo, Yanbo Wang, Yutao Yue, Hesheng Wang, Weidong Chen
Leveraging this information, we propose a multi-modal UAV detection, classification, and 3D tracking method for accurate UAV classification and tracking.
1 code implementation • 20 May 2024 • Ruiqi Wu, Chenran Zhang, Jianle Zhang, Yi Zhou, Tao Zhou, Huazhu Fu
Current fundus image analysis models are predominantly built for specific tasks relying on individual datasets.
no code implementations • 17 May 2024 • Xiaoshuai Hao, Yifan Yang, HUI ZHANG, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang
In this report, we describe the technical details of our submission to the 2024 RoboDrive Challenge Robust Map Segmentation Track.
no code implementations • 17 May 2024 • Yi Yao, Jun Wang, Yabai Hu, LiFeng Wang, Yi Zhou, Jack Chen, Xuming Gai, Zhenming Wang, Wenjun Liu
The evolution of software testing from manual to automated methods has significantly influenced quality assurance (QA) practices.
no code implementations • 14 May 2024 • Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingxing Wei, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, HUI ZHANG, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, YuBo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu
In the realm of autonomous driving, robust perception under out-of-distribution conditions is paramount for the safe deployment of vehicles.
2 code implementations • 7 May 2024 • Junkai Niu, Sheng Zhong, Yi Zhou
In this paper, we improve our previous direct pipeline \textit{Event-based Stereo Visual Odometry} in terms of accuracy and efficiency.
2 code implementations • 7 May 2024 • Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
Increasingly, code LLMs are being integrated into software development environments to improve the productivity of human programmers, and LLM-based agents are beginning to show promise for handling complex tasks autonomously.
1 code implementation • 20 Apr 2024 • Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
We present a differentiable representation, DMesh, for general 3D triangular meshes.
no code implementations • 17 Apr 2024 • Shaocong Ma, James Diffenderfer, Bhavya Kailkhura, Yi Zhou
In this study, we explore the feasibility of end-to-end training of a hybrid model with a black-box PDE solver and a deep learning model for fluid flow prediction.
no code implementations • 1 Apr 2024 • Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
We prove that our algorithm finds an $\epsilon$-stationary point with a computational complexity of $\mathcal O(\epsilon^{-3k_*-5})$, where $k_*$ is the parameter of the Cressie-Read divergence.
no code implementations • 1 Apr 2024 • Qi Zhang, Yi Zhou, Shaofeng Zou
Specifically, to solve the challenges due to dependence among adaptive update, unbounded gradient estimate and Lipschitz constant, we demonstrate that the first-order term in the descent lemma converges and its denominator is upper bounded by a function of gradient norm.
no code implementations • 20 Mar 2024 • Gaifan Zhang, Yi Zhou, Danushka Bollegala
Sentence embeddings produced by Pretrained Language Models (PLMs) have received wide attention from the NLP community due to their superior performance when representing texts in numerous downstream applications.
no code implementations • CVPR 2024 • Yi Zhou, HUI ZHANG, Jiaqian Yu, Yifan Yang, Sangil Jung, Seung-In Park, ByungIn Yoo
Concretely, we introduce a hybrid representation called HIQuery to represent all map elements, and propose a point-element interactor to interactively extract and encode the hybrid information of elements, e. g. point position and element shape, into the HIQuery.
no code implementations • 2 Mar 2024 • Zhiyuan He, Ke Deng, Jiangchao Gong, Yi Zhou, DeSheng Wang
Passive indoor localization, integral to smart buildings, emergency response, and indoor navigation, has traditionally been limited by a focus on single-target localization and reliance on multi-packet CSI.
no code implementations • 23 Feb 2024 • Yezeng Chen, Zui Chen, Yi Zhou
Although large language models demonstrate emergent abilities in solving math word problems, there is a challenging task in complex multi-step mathematical reasoning tasks.
1 code implementation • 23 Feb 2024 • Zui Chen, Yezeng Chen, Jiaqi Han, Zhijie Huang, Ji Qi, Yi Zhou
Large language models (LLMs) are displaying emergent abilities for math reasoning tasks, and there is a growing attention on enhancing the ability of open-source LLMs through supervised fine-tuning (SFT). In this paper, we aim to explore a general data strategy for supervised data to help optimize and expand math reasoning ability. Firstly, we determine the ability boundary of reasoning paths augmentation by identifying these paths' minimal optimal set. Secondly, we validate that different abilities of the model can be cumulatively enhanced by Mix of Minimal Optimal Sets of corresponding types of data, while our models MMOS achieve SOTA performance on series base models under much lower construction costs. Besides, we point out GSM-HARD is not really hard and today's LLMs no longer lack numerical robustness. Also, we provide an Auto Problem Generator for robustness testing and educational applications. Our code and data are publicly available at https://github. com/cyzhh/MMOS.
Ranked #2 on
Math Word Problem Solving
on ASDiv-A
(using extra training data)
1 code implementation • 5 Feb 2024 • Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems.
1 code implementation • 3 Feb 2024 • Lixing Xiao, Ruixiao Shi, Xiaoyang Tang, Yi Zhou
Previous works on object detection have achieved high accuracy in closed-set scenarios, but their performance in open-world scenarios is not satisfactory.
1 code implementation • 22 Jan 2024 • Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen
However, applying ICL in real cases does not scale with the number of samples, and lacks robustness to different prompt templates and demonstration permutations.
no code implementations • 4 Jan 2024 • Yi Zhou, Zhouchen Deng, Shi Chen, Yiwei Qiu, Tianlei Zang, Buxiang Zhou
In a phase-locked loop (PLL) synchronized inverter, due to the strong nonlinear coupling between the PLL's parame-ters and the operation power angle, the equivalent damping coefficient will quickly deteriorate while the power angle is close to 90{\deg} under an ultra-weak grid, which causes the synchronous instability.
1 code implementation • 26 Dec 2023 • Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu
To address scale variation, we present a scale-enhanced consistency constraint, which ensures consistency in the segmentation maps generated from the same input image at different scales.
no code implementations • CVPR 2024 • Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman
To this end, we introduce Carve3D, an improved RLFT algorithm coupled with a novel Multi-view Reconstruction Consistency (MRC) metric, to enhance the consistency of multi-view diffusion models.
no code implementations • 7 Dec 2023 • Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo
Growing applications of large language models (LLMs) trained by a third party raise serious concerns on the security vulnerability of LLMs. It has been demonstrated that malicious actors can covertly exploit these vulnerabilities in LLMs through poisoning attacks aimed at generating undesirable outputs.
no code implementations • 1 Dec 2023 • Yiming Zhao, Tao Zhou, Yunqi Gu, Yi Zhou, Yizhe Zhang, Ye Wu, Huazhu Fu
Specifically, we first propose a Cross-level Enhancement and Aggregation Network (CEA-Net) for weakly-supervised polyp segmentation.
no code implementations • 30 Nov 2023 • Jiaxin Mei, Tao Zhou, Kaiwen Huang, Yizhe Zhang, Yi Zhou, Ye Wu, Huazhu Fu
This paper provides a comprehensive review of polyp segmentation algorithms.
no code implementations • 16 Nov 2023 • Wei zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy
To address these challenges, we present Scaling User Modeling (SUM), a framework widely deployed in Meta's ads ranking system, designed to facilitate efficient and scalable sharing of online user representation across hundreds of ads models.
1 code implementation • 9 Nov 2023 • HaoYi Wu, Wenyang Hui, Yezeng Chen, Weiqi Wu, Kewei Tu, Yi Zhou
Since the dataset only involves a narrow range of knowledge, it is easy to separately analyse the knowledge a model possesses and the reasoning ability it has.
no code implementations • 30 Oct 2023 • Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu
The effective detection of evidence of financial anomalies requires collaboration among multiple entities who own a diverse set of data, such as a payment network system (PNS) and its partner banks.
no code implementations • ICLR 2023 • Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
We address the problem of hyper-parameter optimization (HPO) for federated learning (FL-HPO).
no code implementations • 19 Oct 2023 • Yi Zhou, Jose Camacho-Collados, Danushka Bollegala
Various types of social biases have been reported with pretrained Masked Language Models (MLMs) in prior work.
1 code implementation • 16 Oct 2023 • Xiaohang Tang, Yi Zhou, Taichi Aida, Procheta Sen, Danushka Bollegala
Given this relationship between WSD and SCD, we explore the possibility of predicting whether a target word has its meaning changed between two corpora collected at different time steps, by comparing the distributions of senses of that word in each corpora.
no code implementations • 15 Oct 2023 • Xuesong Wang, Yi Zhou, Dongsheng Zhang
This paper innovatively proposes the need to consider the coupling effects among subsystems, directing the optimization design of CNC machine tool feed systems towards time domain dynamic precision.
1 code implementation • 12 Oct 2023 • Rui Yang, Jiahao Zhu, Jianping Man, Li Fang, Yi Zhou
The effectiveness of text-based methods largely hinges on the quality and richness of the training data.
no code implementations • 9 Oct 2023 • Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou
To address these issues, we propose a novel Memory-Assisted Sub-Prototype Mining (MemSPM) method that can learn the differences between samples belonging to the same category and mine sub-classes when there exists significant concept shift between them.
no code implementations • 9 Oct 2023 • Junkang Yang, Hongqing Liu, Lu Gan, Yi Zhou
Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part.
no code implementations • 27 Sep 2023 • Yi Zhou
This document facilitates understanding of core concepts about uniform B-spline and its matrix representation.
no code implementations • 19 Sep 2023 • Tao Zhou, Yizhe Zhang, Geng Chen, Yi Zhou, Ye Wu, Deng-Ping Fan
Besides, a Scale-aware Convolution Module (SCM) is proposed to learn scale-aware features by using dilated convolutions with different ratios, in order to effectively deal with scale variation.
no code implementations • 22 Aug 2023 • Omid Taheri, Yi Zhou, Dimitrios Tzionas, Yang Zhou, Duygu Ceylan, Soren Pirk, Michael J. Black
In contrast, we introduce GRIP, a learning-based method that takes, as input, the 3D motion of the body and the object, and synthesizes realistic motion for both hands before, during, and after object interaction.
1 code implementation • 21 Aug 2023 • Xinghong Liu, Yi Zhou, Tao Zhou, Chun-Mei Feng, Ling Shao
SF-UniDA methods eliminate the need for direct access to source samples when performing adaptation to the target domain.
no code implementations • 18 Aug 2023 • Pengbo Hu, Ji Qi, Xingyu Li, Hong Li, Xinqi Wang, Bing Quan, Ruiyu Wang, Yi Zhou
Our approach succeeds in performance while significantly saving inference steps.
1 code implementation • ICCV 2023 • Hong Li, Xingyu Li, Pengbo Hu, Yinuo Lei, Chunxiao Li, Yi Zhou
In addition, we find that the jointly trained model typically has a preferred modality on which the competition is weaker than other modalities.
1 code implementation • 23 Jun 2023 • Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao, Jin-Kao Hao
We define a novel parameter of the input instance, $g_k(G)$, the gap between the degeneracy bound and the size of the maximum $k$-plex in the given graph, and present an exact algorithm parameterized by this $g_k(G)$, which has a worst-case running time polynomial in the size of the input graph and exponential in $g_k(G)$.
no code implementations • 15 Jun 2023 • Liang Wan, Hongqing Liu, Yi Zhou, Jie Ji
By combining the DPRNN module with Convolution Recurrent Network (CRN), the DPCRN obtained a promising performance in speech separation with a limited model size.
1 code implementation • 30 May 2023 • Haochen Luo, Yi Zhou, Danushka Bollegala
Our proposed method can combine source sense embeddings that cover different sets of word senses.
1 code implementation • 24 May 2023 • Asahi Ushio, Yi Zhou, Jose Camacho-Collados
Multilingual language model (LM) have become a powerful tool in NLP especially for non-English languages.
1 code implementation • 17 May 2023 • Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala
This similarity underestimation problem is particularly severe for highly frequent words.
no code implementations • 8 May 2023 • Xuehao Zhou, Mingyang Zhang, Yi Zhou, Zhizheng Wu, Haizhou Li
Both objective and subjective evaluation results show that the accented TTS front-end fine-tuned with a small accented phonetic lexicon (5k words) effectively handles the phonetic variation of accents, while the accented TTS acoustic model fine-tuned with a limited amount of accented speech data (approximately 3 minutes) effectively improves the prosodic rendering including pitch and duration.
1 code implementation • 7 May 2023 • Wencong Wu, Shijie Liu, Yi Zhou, Yungang Zhang, Yu Xiang
The proposed DRANet includes two different parallel branches, which can capture complementary features to enhance the learning ability of the model.
Ranked #1 on
Image Denoising
on SIDD
(Average PSNR metric)
no code implementations • 3 May 2023 • Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
As part of the training, the parties wish to remove unimportant features in the system to improve generalization, efficiency, and explainability.
1 code implementation • 15 Apr 2023 • Tao Zhou, Yizhe Zhang, Yi Zhou, Ye Wu, Chen Gong
Recently, Meta AI Research releases a general Segment Anything Model (SAM), which has demonstrated promising performance in several segmentation tasks.
no code implementations • 12 Apr 2023 • Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
Federated learning (FL) is a popular way of edge computing that doesn't compromise users' privacy.
no code implementations • 8 Apr 2023 • Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Daoqiang Zhang, Rick Siow Mong Goh, Yong liu, Chi Pui Pang, Xinjian Chen, Haoyu Chen, Huazhu Fu
Failure to recognize samples from the classes unseen during training is a major limitation of artificial intelligence in the real-world implementation for recognition and classification of retinal anomalies.
1 code implementation • 13 Mar 2023 • Shuangping Jin, Bingbing Yu, Minhao Jing, Yi Zhou, Jiajun Liang, Renhe Ji
To handle this, we propose a new RGB-NIR fusion algorithm called Dark Vision Net (DVN) with two technical novelties: Deep Structure and Deep Inconsistency Prior (DIP).
no code implementations • CVPR 2023 • Yasamin Jafarian, Tuanfeng Y. Wang, Duygu Ceylan, Jimei Yang, Nathan Carr, Yi Zhou, Hyun Soo Park
To edit human videos in a physically plausible way, a texture map must take into account not only the garment transformation induced by the body movements and clothes fitting, but also its 3D fine-grained surface geometry.
no code implementations • 10 Mar 2023 • Xinghong Liu, Yi Zhou, Tao Zhou, Jie Qin, Shengcai Liao
Open-set domain adaptation aims to not only recognize target samples belonging to common classes shared by source and target domains but also perceive unknown class samples.
1 code implementation • 3 Feb 2023 • Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu
This paper demonstrates that language models are strong structure-based protein designers.
no code implementations • 20 Dec 2022 • Yi Zhou, Zhizheng Wu, Mingyang Zhang, Xiaohai Tian, Haizhou Li
Specifically, a text-to-speech (TTS) system is first pretrained with target-accented speech data.
1 code implementation • 8 Dec 2022 • Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah
We attribute this deficiency to the lack of ability to extract the spatial configuration of visual feature layouts and models' overfitting on low-level details from the training set.
2 code implementations • 2 Dec 2022 • Yonghao Li, Tao Zhou, Kelei He, Yi Zhou, Dinggang Shen
To take advantage of both paired and unpaired data, in this paper, we propose a Multi-scale Transformer Network (MT-Net) with edge-aware pre-training for cross-modality MR image synthesis.
1 code implementation • 2 Dec 2022 • Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang
In this paper, we propose a novel Feature Aggregation and Propagation Network (FAP-Net) for camouflaged object detection.
1 code implementation • 14 Nov 2022 • Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme
Natural language is ambiguous.
no code implementations • 26 Oct 2022 • Yi Zhou, Danushka Bollegala
We show that the $\ell_2$ norm of a static sense embedding encodes information related to the frequency of that sense in the training corpus used to learn the sense embeddings.
1 code implementation • 7 Oct 2022 • Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei LI, Hao Zhou
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation.
no code implementations • 6 Sep 2022 • Yue Wang, Yi Zhou, Shaofeng Zou
Our finite-time error bounds match with one of the stochastic gradient descent algorithms for general smooth non-convex optimization problems, despite its additonal challenge in the two time-scale updates.
no code implementations • 3 Sep 2022 • Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo
Federated Learning (FL) is a paradigm for jointly training machine learning algorithms in a decentralized manner which allows for parties to communicate with an aggregator to create and train a model, without exposing the underlying raw data distribution of the local parties involved in the training process.
1 code implementation • 23 Aug 2022 • Xiaohang Tang, Yi Zhou, Danushka Bollegala
We then generate prompts by filling manually compiled templates using the extracted pivot and anchor terms.
1 code implementation • 23 Aug 2022 • Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang
An alternative approach is to estimate dense vertices of a predefined template body in the image space.
no code implementations • 28 Jul 2022 • Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha
Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body.
no code implementations • 4 Jun 2022 • Chengan He, Jun Saito, James Zachary, Holly Rushmeier, Yi Zhou
We present an implicit neural representation to learn the spatio-temporal space of kinematic motions.
no code implementations • 18 May 2022 • Jiahao Zhu, Huajun Zhou, Zixuan Chen, Yi Zhou, Xiaohua Xie
3D deep models consuming point clouds have achieved sound application effects in computer vision.
1 code implementation • 1 May 2022 • Xiyuan Chen, Xingyu Li, Yi Zhou, Tianming Yang
The mechanism is well described by the Drift-Diffusion Model (DDM).
1 code implementation • 30 Apr 2022 • Pengbo Hu, Xingyu Li, Yi Zhou
Our experiments suggest that for some tasks where different modalities are complementary, the multi-modal models still tend to use the dominant modality alone and ignore the cooperation across modalities.
no code implementations • 31 Mar 2022 • Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Moreover, we show that online SGD with mini-batch sampling can further substantially improve the sample complexity over online SGD with periodic data-subsampling over highly dependent data.
no code implementations • 30 Mar 2022 • Ziyi Chen, Bhavya Kailkhura, Yi Zhou
In this work, we study a proximal gradient-type algorithm that adopts the approximate implicit differentiation (AID) scheme for nonconvex bi-level optimization with possibly nonconvex and nonsmooth regularizers.
1 code implementation • CVPR 2022 • Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
We define the estimation shift magnitude of BN to quantitatively measure the difference between its estimated population statistics and expected ones.
1 code implementation • 14 Mar 2022 • Yi Zhou, Masahiro Kaneko, Danushka Bollegala
Sense embedding learning methods learn different embeddings for the different senses of an ambiguous word.
no code implementations • 6 Mar 2022 • Yiwei Qiu, Buxiang Zhou, Tianlei Zang, Yi Zhou, Ruomei Qi, Jin Lin
The operational flexibility of industrial power-to-hydrogen (P2H) plants enables admittance of volatile renewable power and provides auxiliary regulatory services for the power grid.
1 code implementation • 17 Feb 2022 • Zhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov
Our first contribution is algorithm ListPlex that lists all maximal $k$-plexes in $O^*(\gamma^D)$ time for each constant $k$, where $\gamma$ is a value related to $k$ but strictly smaller than 2, and $D$ is the degeneracy of the graph that is far less than the vertex number $n$ in real-word graphs.
no code implementations • 16 Feb 2022 • Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
We address the relatively unexplored problem of hyper-parameter optimization (HPO) for federated learning (FL-HPO).
no code implementations • 8 Feb 2022 • Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou, Lam M. Nguyen
In this paper, we propose a novel algorithm based on Gradient Extrapolation Method (GEM-UOT) to find an $\varepsilon$-approximate solution to the UOT problem in $O\big( \kappa \log\big(\frac{\tau n}{\varepsilon}\big) \big)$ iterations with $\widetilde{O}(n^2)$ per-iteration cost, where $\kappa$ is the condition number depending on only the two input measures.
no code implementations • 30 Jan 2022 • Yi Zhou, Liangcai Zhou, Di Shi, Xiaoying Zhao
With widespread deployment of renewables, the electric power grids are experiencing increasing dynamics and uncertainties, with its secure operation being threatened.
no code implementations • 22 Dec 2021 • Ziyi Chen, Shaocong Ma, Yi Zhou
Alternating gradient-descent-ascent (AltGDA) is an optimization algorithm that has been widely used for model training in various machine learning applications, which aims to solve a nonconvex minimax optimization problem.
no code implementations • CVPR 2022 • Yi Zhou, HUI ZHANG, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han
We encode all panoptic entities in a video, including both foreground instances and background semantics, with a unified representation called panoptic slots.
no code implementations • 15 Dec 2021 • Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
We address the relatively unexplored problem of hyper-parameter optimization (HPO) for federated learning (FL-HPO).
no code implementations • 21 Nov 2021 • Kaiyuan Liu, Xingyu Li, Yurui Lai, Ge Zhang, Hang Su, Jiachen Wang, Chunxu Guo, Jisong Guan, Yi Zhou
Despite its great success, deep learning severely suffers from robustness; that is, deep neural networks are very vulnerable to adversarial attacks, even the simplest ones.
1 code implementation • 5 Nov 2021 • Xiuyuan Lu, Yi Zhou, Shaojie Shen
In this paper, we present a cascaded two-level multi-model fitting method for identifying independently moving objects (i. e., the motion segmentation problem) with a monocular event camera.
no code implementations • 14 Oct 2021 • Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou
However, GDA has been proved to converge to stationary points for nonconvex minimax optimization, which are suboptimal compared with local minimax points.
no code implementations • PACLIC 2021 • Yi Zhou, Danushka Bollegala
Contextualised word embeddings generated from Neural Language Models (NLMs), such as BERT, represent a word with a vector that considers the semantics of the target word as well its context.
no code implementations • 29 Sep 2021 • Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang
Specifically, with a $\phi$-mixing model that captures both exponential and polynomial decay of the data dependence over time, we show that SGD with periodic data-subsampling achieves an improved sample complexity over the standard SGD in the full spectrum of the $\phi$-mixing data dependence.
no code implementations • 29 Sep 2021 • Ziyi Chen, Qunwei Li, Yi Zhou
Our result shows that Cubic-GDA achieves an orderwise faster convergence rate than the standard GDA for a wide spectrum of gradient dominant geometry.
no code implementations • ICLR 2022 • Ziyi Chen, Shaocong Ma, Yi Zhou
Two-player zero-sum Markov game is a fundamental problem in reinforcement learning and game theory.
no code implementations • WMT (EMNLP) 2021 • Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei LI, Mingxuan Wang, Hao Zhou
This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation.
no code implementations • 20 Sep 2021 • Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou
In this work, we develop an assisted learning framework for assisting organizations to improve their learning performance.
no code implementations • 8 Sep 2021 • Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou
Actor-critic (AC) algorithms have been widely adopted in decentralized multi-agent systems to learn the optimal joint control policy.
no code implementations • ICCV 2021 • Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael Black
A long-standing goal in computer vision is to capture, model, and realistically synthesize human behavior.
3 code implementations • ICCV 2021 • Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu
To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level information.
Ranked #2 on
Object Detection
on PKU-DDD17-Car
1 code implementation • ACL 2021 • Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
Although deep neural networks have achieved prominent performance on many NLP tasks, they are vulnerable to adversarial examples.
no code implementations • 26 Jul 2021 • Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
This global model can be corrupted when Byzantine workers send malicious gradients, which necessitates robust methods for aggregating gradients that mitigate the adverse effects of Byzantine inputs.
no code implementations • CVPR 2021 • Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu
The learned AU semantic embeddings are then used as guidance for the generation of attention maps through a cross-modality attention network.
1 code implementation • 17 Jun 2021 • Yi Zhou, Heikki Huttunen, Tapio Elomaa
Age estimation is an essential challenge in computer vision.
1 code implementation • ACL 2020 • Feng Hou, Ruili Wang, Jun He, Yi Zhou
We propose a simple yet effective method, FGS2EE, to inject fine-grained semantic information into entity embeddings to reduce the distinctiveness and facilitate the learning of contextual commonality.
no code implementations • NeurIPS 2021 • Yue Wang, Shaofeng Zou, Yi Zhou
Temporal-difference learning with gradient correction (TDC) is a two time-scale algorithm for policy evaluation in reinforcement learning.
no code implementations • 30 Mar 2021 • Cheng Chen, Bhavya Kailkhura, Ryan Goldhahn, Yi Zhou
Federated learning is an emerging data-private distributed learning framework, which, however, is vulnerable to adversarial attacks.
no code implementations • ICLR 2021 • Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Greedy-GQ is a value-based reinforcement learning (RL) algorithm for optimal control.
no code implementations • 24 Mar 2021 • Ziyi Chen, Yi Zhou, Rongrong Chen
Under Markovian sampling and linear function approximation, we proved that the finite-time sample complexity of both algorithms for achieving an $\epsilon$-accurate solution is in the order of $\mathcal{O}(\epsilon^{-1}\ln \epsilon^{-1})$, matching the near-optimal sample complexity of centralized TD(0) and TDC.
no code implementations • 5 Mar 2021 • Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
We empirically demonstrate the applicability for multiple types of ML models and show a reduction of 10%-70% of training time and 80% to 90% in data transfer with respect to the state-of-the-art approaches.
no code implementations • CVPR 2021 • Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbič
Being a local method, our network is independent of the mesh topology and generalizes to arbitrarily shaped 3D character meshes at test time.
no code implementations • 26 Feb 2021 • Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao
For chest X-ray imaging, annotating large-scale data requires professional domain knowledge and is time-consuming.
no code implementations • ICLR 2021 • Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang
By leveraging this Lyapunov function and the K{\L} geometry that parameterizes the local geometries of general nonconvex functions, we formally establish the variable convergence of proximal-GDA to a critical point $x^*$, i. e., $x_t\to x^*, y_t\to y^*(x^*)$.
no code implementations • 1 Feb 2021 • Ning-An Lai, Yi Zhou
Global existence for small data Cauchy problem of semilinear wave equations with scaling invariant damping in 3-D is established in this work, assuming that the data are radial and the constant in front of the damping belongs to $[1. 5, 2)$.
Analysis of PDEs
no code implementations • 1 Feb 2021 • Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
Data heterogeneity has been identified as one of the key features in federated learning but often overlooked in the lens of robustness to adversarial attacks.
no code implementations • ICCV 2021 • Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao
Second, the progressive report decoder consists of a sentence decoder and a word decoder, where we propose image-sentence matching and description accuracy losses to constrain the visual-textual semantic consistency.
no code implementations • ICCV 2021 • Yi Zhou, Lei Huang, Tao Zhou, Ling Shao
A category-invariant cross-domain transfer (CCT) method is proposed to address this single-to-multiple extension.
no code implementations • 17 Dec 2020 • Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan
The graph edge partition problem, which is to split the edge set into multiple balanced parts to minimize the total number of copied vertices, has been widely studied from the view of optimization and algorithms.
1 code implementation • 16 Dec 2020 • Yi Zhou, Guillermo Gallego, Xiuyuan Lu, SiQi Liu, Shaojie Shen
We develop a method to identify independently moving objects acquired with an event-based camera, i. e., to solve the event-based motion segmentation problem.
no code implementations • 15 Dec 2020 • Yi Zhou, Hongdong Li, Laurent Kneip
The present paper reviews the classical problem of free-form curve registration and applies it to an efficient RGBD visual odometry system called Canny-VO, as it efficiently tracks all Canny edge features extracted from the images.
no code implementations • 11 Dec 2020 • Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
This approach makes the use of gradient boosted trees practical in enterprise federated learning.
1 code implementation • 9 Dec 2020 • Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang
We formulate WSSS as a novel group-wise learning task that explicitly models semantic dependencies in a group of images to estimate more reliable pseudo ground-truths, which can be used for training more accurate segmentation models.
Ranked #38 on
Weakly-Supervised Semantic Segmentation
on COCO 2014 val
(using extra training data)
no code implementations • 4 Dec 2020 • Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig
As methods to create discrimination-aware models develop, they focus on centralized ML, leaving federated learning (FL) unexplored.
no code implementations • NeurIPS 2020 • Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer
Using this framework, we show that space-filling sample designs, such as blue noise and Poisson disk sampling, which optimize spectral properties, outperform random designs in terms of the generalization gap and characterize this gain in a closed-form.
1 code implementation • 25 Nov 2020 • Yi Zhou, Zhenhao Chen
Memes are used for spreading ideas through social networks.
no code implementations • 17 Nov 2020 • Qiwei Yuan, Weizhe Hua, Yi Zhou, Cunxi Yu
The minibatch stochastic gradient descent method (SGD) is widely applied in deep learning due to its efficiency and scalability that enable training deep networks with a large volume of data.
no code implementations • 17 Nov 2020 • Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang
Based on these studies, we propose a genetic algorithm to find an ensemble of models that can be used to induce adversarial examples to fool almost all existing models.
no code implementations • 13 Nov 2020 • Cheng Chen, Junjie Yang, Yi Zhou
Specifically, we find that the optimization trajectories of successful DNN trainings consistently obey a certain regularity principle that regularizes the model update direction to be aligned with the trajectory direction.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang
The words in each sentence of a source language corpus are rearranged to meet the word order in a target language under the guidance of a part-of-speech based language model (LM).
no code implementations • NeurIPS 2020 • Shaocong Ma, Yi Zhou, Shaofeng Zou
In the Markovian setting, our algorithm achieves the state-of-the-art sample complexity $O(\epsilon^{-1} \log {\epsilon}^{-1})$ that is near-optimal.
no code implementations • 14 Oct 2020 • Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
As a result, our regret bounds are much tighter compared to existing regret bounds for ZO with conventional one-point feedback, which suggests that ZO with residual feedback can better track the optimizer of online optimization problems.
no code implementations • 3 Oct 2020 • Jiahui Gao, Yi Zhou, Philip L. H. Yu, Shafiq Joty, Jiuxiang Gu
In this work, we present a novel unpaired cross-lingual method to generate image captions without relying on any caption corpus in the source or the target language.
1 code implementation • CVPR 2021 • Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao
Results show that GW consistently improves the performance of different architectures, with absolute gains of $1. 02\%$ $\sim$ $1. 49\%$ in top-1 accuracy on ImageNet and $1. 82\%$ $\sim$ $3. 21\%$ in bounding box AP on COCO.
no code implementations • 27 Sep 2020 • Lei Huang, Jie Qin, Yi Zhou, Fan Zhu, Li Liu, Ling Shao
Normalization techniques are essential for accelerating the training and improving the generalization of deep neural networks (DNNs), and have successfully been used in various applications.
no code implementations • 22 Sep 2020 • Cheng Chen, Ziyi Chen, Yi Zhou, Bhavya Kailkhura
We develop FedCluster--a novel federated learning framework with improved optimization efficiency, and investigate its theoretical convergence properties.
no code implementations • 12 Sep 2020 • Yi Zhou, Shuyang Sun, Chao Zhang, Yikang Li, Wanli Ouyang
By assigning each relationship a single label, current approaches formulate the relationship detection as a classification problem.
1 code implementation • 9 Sep 2020 • Yi Zhou, Yin Cui, Xiaoke Xu, Jidong Suo, Xiaoming Liu
It is challenging to detect small-floating object in the sea clutter for a surface radar.
no code implementations • 22 Aug 2020 • Yi Zhou, Boyang Wang, Lei Huang, Shanshan Cui, Ling Shao
This dataset has 1, 842 images with pixel-level DR-related lesion annotations, and 1, 000 images with image-level labels graded by six board-certified ophthalmologists with intra-rater consistency.
no code implementations • 18 Aug 2020 • Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler, Hao Li
We also introduce new evaluation metrics for the quality of synthesized dance motions, and demonstrate that our system can outperform state-of-the-art methods.
no code implementations • 10 Aug 2020 • Guanqun Cao, Yi Zhou, Danushka Bollegala, Shan Luo
Recently, tactile sensing has attracted great interest in robotics, especially for facilitating exploration of unstructured environments and effective manipulation.
4 code implementations • 30 Jul 2020 • Yi Zhou, Guillermo Gallego, Shaojie Shen
We present a solution to the problem of visual odometry from the data acquired by a stereo event-based camera rig.
1 code implementation • 22 Jul 2020 • Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
Federated Learning (FL) is an approach to conduct machine learning without centralizing training data in a single place, for reasons of privacy, confidentiality or data volume.
no code implementations • ICML 2020 • Shaocong Ma, Yi Zhou
Specifically, minimizer incoherence measures the discrepancy between the global minimizers of a sample loss and those of the total loss and affects the convergence error of SGD with random reshuffle.
no code implementations • ACL 2020 • Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang
Despite achieving prominent performance on many important tasks, it has been reported that neural networks are vulnerable to adversarial examples.
1 code implementation • 20 Jun 2020 • Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
Despite neural networks have achieved prominent performance on many natural language processing (NLP) tasks, they are vulnerable to adversarial examples.
no code implementations • 18 Jun 2020 • Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos
When optimizing a deterministic Lipschitz function, we show that the query complexity of ZO with the proposed one-point residual feedback matches that of ZO with the existing two-point schemes.
1 code implementation • NeurIPS 2020 • Yi Zhou, Chenglei Wu, Zimo Li, Chen Cao, Yuting Ye, Jason Saragih, Hao Li, Yaser Sheikh
Learning latent representations of registered meshes is useful for many 3D tasks.