1 code implementation • COLING 2022 • Yangjun Wu, Han Wang, Dongxiang Zhang, Gang Chen, Hao Zhang
Specifically, we design 5-type templates as instructional prompts, and each template includes a question that acts as the driver to teach UGEN to grasp the paradigm, options that list the candidate intents or slots to reduce the answer search space, and the context denotes original utterance.
no code implementations • ACL (ECNLP) 2021 • Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan
We first build a cross-source heterogeneous knowledge graph from customer purchase history and product knowledge graph to jointly learn customer and product embeddings.
no code implementations • 2 May 2024 • Xun Jiao, Fred Lin, Harish D. Dixit, Joel Coburn, Abhinav Pandey, Han Wang, Jianyu Huang, Venkat Ramesh, Wang Xu, Daniel Moore, Sriram Sankar
Given this challenge, this paper aims to answer a critical question: How likely is a parameter corruption to result in an incorrect model output?
no code implementations • 2 May 2024 • Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel
We present new Bayesian Last Layer models in the setting of multivariate regression under heteroscedastic noise, and propose an optimization algorithm for parameter learning.
no code implementations • 25 Apr 2024 • Han Wang, Xinning Chai, Yiwen Wang, Yuhong Zhang, Rong Xie, Li Song
Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colors and unsaturated colors.
no code implementations • 23 Apr 2024 • Mostafa Ameli, Sean McQuade, Jonathan W. Lee, Matthew Bunting, Matthew Nice, Han Wang, William Barbour, Ryan Weightman, Chris Denaro, Ryan Delorenzo, Sharon Hornstein, Jon F. Davis, Dan Timsit, Riley Wagner, Rita Xu, Malaika Mahmood, Mikail Mahmood, Maria Laura Delle Monache, Benjamin Seibold, Daniel B. Work, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen
This article is a tutorial for developing analytical and simulation-based tools essential for designing and executing a live traffic control experiment like the MVT.
1 code implementation • 8 Apr 2024 • Jichang Yang, Hegan Chen, Jia Chen, Songqi Wang, Shaocong Wang, Yifei Yu, Xi Chen, Bo wang, Xinyuan Zhang, Binbin Cui, Ning Lin, Meng Xu, Yi Li, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang, Xumeng Zhang, Dashan Shang, Han Wang, Qi Liu, Kwang-Ting Cheng, Ming Liu
Demonstrating equivalent generative quality to the software baseline, our system achieved remarkable enhancements in generative speed for both unconditional and conditional generation tasks, by factors of 64. 8 and 156. 5, respectively.
no code implementations • 4 Apr 2024 • Eduardo Pérez, Cemil Emre Ardic, Ozan Çakıroğlu, Kevin Jacob, Sayako Kodera, Luca Pompa, Mohamad Rachid, Han Wang, Yiming Zhou, Cyril Zimmer, Florian Römer, Ahmad Osman
Since we cannot discuss each NDE modality in one paper, we limit our attention to magnetic methods, ultrasound, thermography, as well as optical inspection.
1 code implementation • 25 Mar 2024 • Han Wang, Yanjie Wang, YongJie Ye, Yuxiang Nie, Can Huang
Multi-modal Large Language Models (MLLMs) have demonstrated their ability to perceive objects in still images, but their application in video-related tasks, such as object tracking, remains understudied.
Ranked #1 on Zero-Shot Single Object Tracking on LaSOT
no code implementations • 17 Mar 2024 • Yudong Luo, Yangchen Pan, Han Wang, Philip Torr, Pascal Poupart
Reinforcement learning algorithms utilizing policy gradients (PG) to optimize Conditional Value at Risk (CVaR) face significant challenges with sample inefficiency, hindering their practical applications.
no code implementations • 14 Mar 2024 • Han Wang, Yhonatan Kvich, Eduardo Pérez, Florian Römer, Yonina C. Eldar
This study considers the Block-Toeplitz structural properties inherent in traditional multichannel forward model matrices, using Full Matrix Capture (FMC) in ultrasonic testing as a case study.
no code implementations • 13 Mar 2024 • Ao Xiang, Zongqing Qi, Han Wang, Qin Yang, Danqing Ma
This paper introduces a new multi-modal model based on the Transformer architecture and tensor product fusion strategy, combining BERT's text vectors and ViT's image vectors to classify students' psychological conditions, with an accuracy of 93. 65%.
no code implementations • 9 Mar 2024 • Yangjun Wu, Han Wang
Conventional text-to-SQL parsers are not good at synthesizing complex SQL queries that involve multiple tables or columns, due to the challenges inherent in identifying the correct schema items and performing accurate alignment between question and schema items.
no code implementations • 5 Mar 2024 • Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang
With the boom of e-commerce and web applications, recommender systems have become an important part of our daily lives, providing personalized recommendations based on the user's preferences.
no code implementations • 29 Feb 2024 • Han Wang, Yiming Zhou, Eduardo Perez, Florian Roemer
Strategic subsampling has become a focal point due to its effectiveness in compressing data, particularly in the Full Matrix Capture (FMC) approach in ultrasonic imaging.
no code implementations • 26 Feb 2024 • Han Wang, Zhe Fu, Jonathan Lee, Hossein Nick Zinat Matin, Arwa Alanqary, Daniel Urieli, Sharon Hornstein, Abdul Rahman Kreidieh, Raphael Chekroun, William Barbour, William A. Richardson, Dan Work, Benedetto Piccoli, Benjamin Seibold, Jonathan Sprinkle, Alexandre M. Bayen, Maria Laura Delle Monache
The Speed Planner comprises two modules: a TSE enhancement module and a target speed design module.
no code implementations • 26 Feb 2024 • Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew W. Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphael Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen
The upper layer is called Speed Planner, and is a centralized optimal control algorithm.
no code implementations • 26 Feb 2024 • Han Wang, Sijia Yu, Chunyang Chen, Burak Turhan, Xiaodong Zhu
Deep Learning (DL) models have rapidly advanced, focusing on achieving high performance through testing model accuracy and robustness.
1 code implementation • 24 Feb 2024 • Han Wang, Roy Ka-Wei Lee
Online memes have emerged as powerful digital cultural artifacts in the age of social media, offering not only humor but also platforms for political discourse, social critique, and information dissemination.
1 code implementation • 21 Feb 2024 • Zhaorui Yang, Qian Liu, Tianyu Pang, Han Wang, Haozhe Feng, Minfeng Zhu, Wei Chen
The surge in Large Language Models (LLMs) has revolutionized natural language processing, but fine-tuning them for specific tasks often encounters challenges in balancing performance and preserving general instruction-following abilities.
1 code implementation • 20 Feb 2024 • Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
Current "sample and select" methods such as self-consistency (SC) rely on majority voting to score answers.
1 code implementation • 14 Feb 2024 • Wei Zhai, Hongzhi Qi, Qing Zhao, Jianqiang Li, Ziqi Wang, Han Wang, Bing Xiang Yang, Guanghui Fu
To address this, we have collected a huge dataset from Chinese social media platforms and enriched it with publicly available datasets to create a comprehensive database encompassing 3. 36 million text entries.
no code implementations • 8 Feb 2024 • Raphael Chekroun, Han Wang, Jonathan Lee, Marin Toromanoff, Sascha Hornauer, Fabien Moutarde, Maria Laura Delle Monache
Accurate real-time traffic state forecasting plays a pivotal role in traffic control research.
1 code implementation • 6 Feb 2024 • Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen, Thien-Minh Nguyen, Jianfei Yang, Fen Liu, Jianping Li, Han Wang, Lihua Xie
In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we introduce MMAUD: a comprehensive Multi-Modal Anti-UAV Dataset.
no code implementations • 27 Jan 2024 • Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
In response, we introduce FedSARSA, a novel federated on-policy reinforcement learning scheme, equipped with linear function approximation, to address these challenges and provide a comprehensive finite-time error analysis.
1 code implementation • 25 Jan 2024 • Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
We investigate the problem of learning Linear Quadratic Regulators (LQR) in a multi-task, heterogeneous, and model-free setting.
1 code implementation • 8 Jan 2024 • Han Wang, Yanjie Wang, Yang Li, Can Huang
In this paper, we propose a novel Global Video Text Spotting Transformer GloTSFormer to model the tracking problem as global associations and utilize the Gaussian Wasserstein distance to guide the morphological correlation between frames.
no code implementations • 15 Dec 2023 • Han Wang, Nirmalendu Prakash, Nguyen Khoi Hoang, Ming Shan Hee, Usman Naseem, Roy Ka-Wei Lee
Topic modeling is a widely used technique for revealing underlying thematic structures within textual data.
no code implementations • 11 Dec 2023 • Nirmalendu Prakash, Han Wang, Nguyen Khoi Hoang, Ming Shan Hee, Roy Ka-Wei Lee
The proliferation of social media has given rise to a new form of communication: memes.
1 code implementation • 28 Oct 2023 • Yangjun Wu, Kebin Fang, Dongxiang Zhang, Han Wang, Hao Zhang, Gang Chen
Structured dropout approaches, such as attention dropout and DropHead, have been investigated to regularize the multi-head attention mechanism in Transformers.
no code implementations • 26 Oct 2023 • Yixiao Chen, Hao Xie, Han Wang
We propose a new algorithm for efficiently solving the damped Fisher matrix in large-scale scenarios where the number of parameters significantly exceeds the number of available samples.
1 code implementation • 19 Sep 2023 • Leonardo F. Toso, Han Wang, James Anderson
We investigate the problem of learning an $\epsilon$-approximate solution for the discrete-time Linear Quadratic Regulator (LQR) problem via a Stochastic Variance-Reduced Policy Gradient (SVRPG) approach.
no code implementations • 20 Aug 2023 • Han Wang, Xiaoyuan Xu, Yue Chen, Zheng Yan, Mohammad Shahidehpour, Jiaqi Li, Shaolun Xu
Then, a bi-level power-traffic flow (PTF) model is proposed to characterize the interaction of power distribution networks (PDNs) and urban transportation networks (UTNs).
no code implementations • 14 Jul 2023 • Han Wang
We study the design of contracts that incentivize a researcher to conduct a costly experiment, extending the work of Yoder (2022) from binary states to a general state space.
no code implementations • 10 Jul 2023 • Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Lastly, we outline a class of algorithms which we call online-aware that are designed to mitigate interference, and show they do reduce interference according to our measure and that they improve stability and performance in several classic control environments.
no code implementations • 9 Jul 2023 • Zhijian Liu, Nian Cai, Wensheng Ouyang, Chengbin Zhang, Nili Tian, Han Wang
Automatic hardhat wearing detection can strengthen the safety management in construction sites, which is still challenging due to complicated video surveillance scenes.
1 code implementation • 16 Jun 2023 • Han Wang, Yi Zhu, Ye Wang, Yun Li, Yunhao Yuan, Jipeng Qiang
Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as news portals and social media.
no code implementations • 15 Jun 2023 • Li Zhang, Wenhao Li, Haotian Guan, Zhiquan He, Mingjun Cheng, Han Wang
The identification of compound-protein interactions (CPI) plays a critical role in drug screening, drug repurposing, and combination therapy studies.
1 code implementation • NeurIPS 2023 • Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang
Based on extensive experiments, we find TSRL achieves great performance on small benchmark datasets with as few as 1% of the original samples, which significantly outperforms the recent offline RL algorithms in terms of data efficiency and generalizability. Code is available at: https://github. com/pcheng2/TSRL
1 code implementation • 28 May 2023 • Han Wang, Ming Shan Hee, Md Rabiul Awal, Kenny Tsu Wei Choo, Roy Ka-Wei Lee
A key concern is that these explanations, generated by LLMs, may lead to erroneous judgments about the nature of flagged content by both users and content moderators.
no code implementations • 27 May 2023 • Dongxiang Yan, Tongxin Li, Changhong Zhao, Han Wang, Yue Chen
This necessitates new business models in the power sector to hedge against uncertainties while imposing a strong coupling between the connected power and transportation networks.
no code implementations • 17 May 2023 • Wei Feng, Lvwei Wang, Zaiyun Lin, Yanhao Zhu, Han Wang, Jianqiang Dong, Rong Bai, Huting Wang, Jielong Zhou, Wei Peng, Bo Huang, Wenbiao Zhou
Generative models for molecules based on sequential line notation (e. g.
1 code implementation • ICLR 2023 • Hongming Zhang, Chenjun Xiao, Han Wang, Jun Jin, Bo Xu, Martin Müller
In this work, we further exploit the information in the replay memory by treating it as an empirical \emph{Replay Memory MDP (RM-MDP)}.
no code implementations • 25 Apr 2023 • Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng
Manipulation relationship detection (MRD) aims to guide the robot to grasp objects in the right order, which is important to ensure the safety and reliability of grasping in object stacked scenes.
no code implementations • 4 Apr 2023 • Jialin Liu, Ning Miao, Chongzhou Fang, Houman Homayoun, Han Wang
In particular, we first identify the vulnerability of DTW for ECG classification, i. e., the correlation between warping path choice and prediction results.
1 code implementation • 3 Apr 2023 • Leonardo F. Toso, Han Wang, James Anderson
We address the problem of learning linear system models from observing multiple trajectories from different system dynamics.
no code implementations • 22 Mar 2023 • Han Wang, Antonis Papachristodoulou, Kostas Margellos
Both the scenario sampling and safety verification procedures are fully distributed.
4 code implementations • 28 Feb 2023 • Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
We highlight a simple fact: it is more straightforward to approximate an in-sample \emph{softmax} using only actions in the dataset.
no code implementations • 25 Feb 2023 • Yu Liu, Chen Song, Yunpeng Yin, Herui Shi, Jinglin Sun, Han Wang, Peiguang Jing
However, for videos that involve calculation tasks (P > 0. 05), the difference in cognitive load induced by 2D and 3D stimuli is not as pronounced.
no code implementations • 15 Feb 2023 • Zhe Fu, Abdul Rahman Kreidieh, Han Wang, Jonathan W. Lee, Maria Laura Delle Monache, Alexandre M. Bayen
Autonomous driving systems present promising methods for congestion mitigation in mixed autonomy traffic control settings.
no code implementations • 4 Feb 2023 • Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
We initiate the study of federated reinforcement learning under environmental heterogeneity by considering a policy evaluation problem.
no code implementations • 2 Feb 2023 • Wenhao Yang, Han Wang, Tadashi Kozuno, Scott M. Jordan, Zhihua Zhang
Moreover, we prove the alternative form still plays a similar role as the original form.
no code implementations • CVPR 2023 • Mengze Li, Han Wang, Wenqiao Zhang, Jiaxu Miao, Zhou Zhao, Shengyu Zhang, Wei Ji, Fei Wu
WINNER first builds the language decomposition tree in a bottom-up manner, upon which the structural attention mechanism and top-down feature backtracking jointly build a multi-modal decomposition tree, permitting a hierarchical understanding of unstructured videos.
no code implementations • 12 Dec 2022 • Han Wang, Zhou Huang, Ganmin Yin, Yi Bao, Xiao Zhou, Yong Gao
The geographically weighted regression (GWR) is an essential tool for estimating the spatial variation of relationships between dependent and independent variables in geographical contexts.
1 code implementation • 25 Nov 2022 • Han Wang, Leonardo F. Toso, James Anderson
We study the problem of learning a linear system model from the observations of $M$ clients.
1 code implementation • 9 Nov 2022 • Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie zhou
Our dataset consists of ~1, 000 parsed movie scripts, each corresponding to a few-shot character understanding task that requires models to mimic humans' ability of fast digesting characters with a few starting scenes in a new movie.
6 code implementations • 9 Nov 2022 • BigScience Workshop, :, Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, Dragomir Radev, Eduardo González Ponferrada, Efrat Levkovizh, Ethan Kim, Eyal Bar Natan, Francesco De Toni, Gérard Dupont, Germán Kruszewski, Giada Pistilli, Hady Elsahar, Hamza Benyamina, Hieu Tran, Ian Yu, Idris Abdulmumin, Isaac Johnson, Itziar Gonzalez-Dios, Javier de la Rosa, Jenny Chim, Jesse Dodge, Jian Zhu, Jonathan Chang, Jörg Frohberg, Joseph Tobing, Joydeep Bhattacharjee, Khalid Almubarak, Kimbo Chen, Kyle Lo, Leandro von Werra, Leon Weber, Long Phan, Loubna Ben allal, Ludovic Tanguy, Manan Dey, Manuel Romero Muñoz, Maraim Masoud, María Grandury, Mario Šaško, Max Huang, Maximin Coavoux, Mayank Singh, Mike Tian-Jian Jiang, Minh Chien Vu, Mohammad A. Jauhar, Mustafa Ghaleb, Nishant Subramani, Nora Kassner, Nurulaqilla Khamis, Olivier Nguyen, Omar Espejel, Ona de Gibert, Paulo Villegas, Peter Henderson, Pierre Colombo, Priscilla Amuok, Quentin Lhoest, Rheza Harliman, Rishi Bommasani, Roberto Luis López, Rui Ribeiro, Salomey Osei, Sampo Pyysalo, Sebastian Nagel, Shamik Bose, Shamsuddeen Hassan Muhammad, Shanya Sharma, Shayne Longpre, Somaieh Nikpoor, Stanislav Silberberg, Suhas Pai, Sydney Zink, Tiago Timponi Torrent, Timo Schick, Tristan Thrush, Valentin Danchev, Vassilina Nikoulina, Veronika Laippala, Violette Lepercq, Vrinda Prabhu, Zaid Alyafeai, Zeerak Talat, Arun Raja, Benjamin Heinzerling, Chenglei Si, Davut Emre Taşar, Elizabeth Salesky, Sabrina J. Mielke, Wilson Y. Lee, Abheesht Sharma, Andrea Santilli, Antoine Chaffin, Arnaud Stiegler, Debajyoti Datta, Eliza Szczechla, Gunjan Chhablani, Han Wang, Harshit Pandey, Hendrik Strobelt, Jason Alan Fries, Jos Rozen, Leo Gao, Lintang Sutawika, M Saiful Bari, Maged S. Al-shaibani, Matteo Manica, Nihal Nayak, Ryan Teehan, Samuel Albanie, Sheng Shen, Srulik Ben-David, Stephen H. Bach, Taewoon Kim, Tali Bers, Thibault Fevry, Trishala Neeraj, Urmish Thakker, Vikas Raunak, Xiangru Tang, Zheng-Xin Yong, Zhiqing Sun, Shaked Brody, Yallow Uri, Hadar Tojarieh, Adam Roberts, Hyung Won Chung, Jaesung Tae, Jason Phang, Ofir Press, Conglong Li, Deepak Narayanan, Hatim Bourfoune, Jared Casper, Jeff Rasley, Max Ryabinin, Mayank Mishra, Minjia Zhang, Mohammad Shoeybi, Myriam Peyrounette, Nicolas Patry, Nouamane Tazi, Omar Sanseviero, Patrick von Platen, Pierre Cornette, Pierre François Lavallée, Rémi Lacroix, Samyam Rajbhandari, Sanchit Gandhi, Shaden Smith, Stéphane Requena, Suraj Patil, Tim Dettmers, Ahmed Baruwa, Amanpreet Singh, Anastasia Cheveleva, Anne-Laure Ligozat, Arjun Subramonian, Aurélie Névéol, Charles Lovering, Dan Garrette, Deepak Tunuguntla, Ehud Reiter, Ekaterina Taktasheva, Ekaterina Voloshina, Eli Bogdanov, Genta Indra Winata, Hailey Schoelkopf, Jan-Christoph Kalo, Jekaterina Novikova, Jessica Zosa Forde, Jordan Clive, Jungo Kasai, Ken Kawamura, Liam Hazan, Marine Carpuat, Miruna Clinciu, Najoung Kim, Newton Cheng, Oleg Serikov, Omer Antverg, Oskar van der Wal, Rui Zhang, Ruochen Zhang, Sebastian Gehrmann, Shachar Mirkin, Shani Pais, Tatiana Shavrina, Thomas Scialom, Tian Yun, Tomasz Limisiewicz, Verena Rieser, Vitaly Protasov, Vladislav Mikhailov, Yada Pruksachatkun, Yonatan Belinkov, Zachary Bamberger, Zdeněk Kasner, Alice Rueda, Amanda Pestana, Amir Feizpour, Ammar Khan, Amy Faranak, Ana Santos, Anthony Hevia, Antigona Unldreaj, Arash Aghagol, Arezoo Abdollahi, Aycha Tammour, Azadeh HajiHosseini, Bahareh Behroozi, Benjamin Ajibade, Bharat Saxena, Carlos Muñoz Ferrandis, Daniel McDuff, Danish Contractor, David Lansky, Davis David, Douwe Kiela, Duong A. Nguyen, Edward Tan, Emi Baylor, Ezinwanne Ozoani, Fatima Mirza, Frankline Ononiwu, Habib Rezanejad, Hessie Jones, Indrani Bhattacharya, Irene Solaiman, Irina Sedenko, Isar Nejadgholi, Jesse Passmore, Josh Seltzer, Julio Bonis Sanz, Livia Dutra, Mairon Samagaio, Maraim Elbadri, Margot Mieskes, Marissa Gerchick, Martha Akinlolu, Michael McKenna, Mike Qiu, Muhammed Ghauri, Mykola Burynok, Nafis Abrar, Nazneen Rajani, Nour Elkott, Nour Fahmy, Olanrewaju Samuel, Ran An, Rasmus Kromann, Ryan Hao, Samira Alizadeh, Sarmad Shubber, Silas Wang, Sourav Roy, Sylvain Viguier, Thanh Le, Tobi Oyebade, Trieu Le, Yoyo Yang, Zach Nguyen, Abhinav Ramesh Kashyap, Alfredo Palasciano, Alison Callahan, Anima Shukla, Antonio Miranda-Escalada, Ayush Singh, Benjamin Beilharz, Bo wang, Caio Brito, Chenxi Zhou, Chirag Jain, Chuxin Xu, Clémentine Fourrier, Daniel León Periñán, Daniel Molano, Dian Yu, Enrique Manjavacas, Fabio Barth, Florian Fuhrimann, Gabriel Altay, Giyaseddin Bayrak, Gully Burns, Helena U. Vrabec, Imane Bello, Ishani Dash, Jihyun Kang, John Giorgi, Jonas Golde, Jose David Posada, Karthik Rangasai Sivaraman, Lokesh Bulchandani, Lu Liu, Luisa Shinzato, Madeleine Hahn de Bykhovetz, Maiko Takeuchi, Marc Pàmies, Maria A Castillo, Marianna Nezhurina, Mario Sänger, Matthias Samwald, Michael Cullan, Michael Weinberg, Michiel De Wolf, Mina Mihaljcic, Minna Liu, Moritz Freidank, Myungsun Kang, Natasha Seelam, Nathan Dahlberg, Nicholas Michio Broad, Nikolaus Muellner, Pascale Fung, Patrick Haller, Ramya Chandrasekhar, Renata Eisenberg, Robert Martin, Rodrigo Canalli, Rosaline Su, Ruisi Su, Samuel Cahyawijaya, Samuele Garda, Shlok S Deshmukh, Shubhanshu Mishra, Sid Kiblawi, Simon Ott, Sinee Sang-aroonsiri, Srishti Kumar, Stefan Schweter, Sushil Bharati, Tanmay Laud, Théo Gigant, Tomoya Kainuma, Wojciech Kusa, Yanis Labrak, Yash Shailesh Bajaj, Yash Venkatraman, Yifan Xu, Yingxin Xu, Yu Xu, Zhe Tan, Zhongli Xie, Zifan Ye, Mathilde Bras, Younes Belkada, Thomas Wolf
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
1 code implementation • 23 Oct 2022 • Liliang Ren, Zixuan Zhang, Han Wang, Clare R. Voss, ChengXiang Zhai, Heng Ji
Modern large-scale Pre-trained Language Models (PLMs) have achieved tremendous success on a wide range of downstream tasks.
Ranked #6 on Few-shot NER on Few-NERD (INTRA) (using extra training data)
no code implementations • 29 Sep 2022 • Junda Wang, Weijian Li, Han Wang, Hanjia Lyu, Caroline Thirukumaran, Addisu Mesfin, Jiebo Luo
Causal inference and model interpretability research are gaining increasing attention, especially in the domains of healthcare and bioinformatics.
1 code implementation • 13 Sep 2022 • Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang
We developed a deep generative model-based variational free energy approach to the equations of state of dense hydrogen.
1 code implementation • 6 Sep 2022 • Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song
The temporal information is introduced by the temporal feature aggregation model (TFAM), by conducting an attention mechanism between the context frames and the target frame (i. e., the frame to be detected).
Ranked #5 on Video Object Detection on ImageNet VID
1 code implementation • COLING 2022 • Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao
Lifelong language learning aims to stream learning NLP tasks while retaining knowledge of previous tasks.
1 code implementation • 17 Aug 2022 • Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang, Linfeng Zhang, Han Wang
Machine learning assisted modeling of the inter-atomic potential energy surface (PES) is revolutionizing the field of molecular simulation.
no code implementations • 27 Jun 2022 • Meisam Mohammady, Han Wang, Lingyu Wang, Mengyuan Zhang, Yosr Jarraya, Suryadipta Majumdar, Makan Pourzandi, Mourad Debbabi, Yuan Hong
Outsourcing anomaly detection to third-parties can allow data owners to overcome resource constraints (e. g., in lightweight IoT devices), facilitate collaborative analysis (e. g., under distributed or multi-party scenarios), and benefit from lower costs and specialized expertise (e. g., of Managed Security Service Providers).
1 code implementation • 21 Jun 2022 • Wenfei Li, Qi Ou, Yixiao Chen, Yu Cao, Renxi Liu, Chunyi Zhang, Daye Zheng, Chun Cai, Xifan Wu, Han Wang, Mohan Chen, Linfeng Zhang
However, for high-level QM methods, such as density functional theory (DFT) at the meta-GGA level and/or with exact exchange, quantum Monte Carlo, etc., generating a sufficient amount of data for training a ML potential has remained computationally challenging due to their high cost.
1 code implementation • 22 May 2022 • Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou
In order to alleviate catastrophic forgetting, we propose the residual variational autoencoder (RVAE) to enhance LAMOL, a recent LLL model, by mapping different tasks into a limited unified semantic space.
no code implementations • 18 May 2022 • Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
The performance of reinforcement learning (RL) agents is sensitive to the choice of hyperparameters.
no code implementations • 14 May 2022 • Xuda Ding, Han Wang, Jianping He, Cailian Chen, Xinping Guan
The variances of the estimation error and the fluctuations in performance are smaller with a properly-designed parameter $\gamma$ compared with the OLS methods.
no code implementations • 5 May 2022 • Han Wang, Zhou Huang, Xiao Zhou, Ganmin Yin, Yi Bao, Yi Zhang
The attention fusion module incorporates route features with movement features to create a better spatial-temporal embedding.
no code implementations • 28 Apr 2022 • Xuda Ding, Han Wang, Jianping He, Cailian Chen, Kostas Margellos, Antonis Papachristodoulou
Simulations demonstrates that BRSCA has a higher probability of finding feasible solutions, reduces the computation time by about 17. 4% and the energy cost by about four times compared to other methods in the literature.
1 code implementation • NAACL 2022 • Han Wang, Canwen Xu, Julian McAuley
Prompt-based learning (i. e., prompting) is an emerging paradigm for exploiting knowledge learned by a pretrained language model.
no code implementations • 30 Mar 2022 • Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
In this paper we investigate the properties of representations learned by deep reinforcement learning systems.
no code implementations • 28 Mar 2022 • Han Wang, Siddartha Marella, James Anderson
Federated learning is a framework for distributed optimization that places emphasis on communication efficiency.
1 code implementation • ACL 2022 • Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Fevry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged S. Al-shaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir Radev, Mike Tian-Jian Jiang, Alexander M. Rush
PromptSource is a system for creating, sharing, and using natural language prompts.
no code implementations • 9 Dec 2021 • Jiaqi Li, Xiaoyuan Xu, Zheng Yan, Han Wang, Yue Chen
The increasing global spread of electric vehicles (EVs) has introduced significant interdependence between transportation and power networks.
no code implementations • 8 Dec 2021 • Han Wang, James Anderson
This work considers the problem of learning the Markov parameters of a linear system from observed data.
1 code implementation • Findings (EMNLP) 2021 • Ruiliu Fu, Han Wang, Xuejun Zhang, Jun Zhou, Yonghong Yan
The Relation Extractor decomposes the complex question, and then the Reader answers the sub-questions in turn, and finally the Comparator performs numerical comparison and summarizes all to get the final answer, where the entire process itself constitutes a complete reasoning evidence path.
no code implementations • 17 Oct 2021 • Han Wang, Ruiliu Fu, Chengzhang Li, Xuejun Zhang, Jun Zhou, Yonghong Yan
Incremental language learning with pseudo-data can alleviate catastrophic forgetting in neural networks.
7 code implementations • ICLR 2022 • Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Tali Bers, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020).
no code implementations • 12 Oct 2021 • Mahdi Abolfazli Esfahani, Han Wang
The source of glare is not limited to the sun, and glare can be seen in the images captured during the nighttime and in indoor environments, which is due to the presence of different light sources; reflective surfaces also influence the generation of such artifacts.
no code implementations • 29 Sep 2021 • Lipeng Wan, Zeyang Liu, Xingyu Chen, Han Wang, Xuguang Lan
Due to the representation limitation of the joint Q value function, multi-agent reinforcement learning (MARL) methods with linear or monotonic value decomposition can not ensure the optimal consistency (i. e. the correspondence between the individual greedy actions and the maximal true Q value), leading to instability and poor coordination.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 6 Sep 2021 • Han Wang, James Anderson
Learning a dynamical system from input/output data is a fundamental task in the control design pipeline.
no code implementations • 17 Aug 2021 • Guiju Ping, Mahdi Abolfazli Esfahani, Han Wang
Solving the challenging problem of 3D object reconstruction from a single image appropriately gives existing technologies the ability to perform with a single monocular camera rather than requiring depth sensors.
3D Object Reconstruction From A Single Image 3D Point Cloud Reconstruction +1
no code implementations • NAACL 2021 • Mingyue Shang, Tong Wang, Mihail Eric, Jiangning Chen, Jiyang Wang, Matthew Welch, Tiantong Deng, Akshay Grewal, Han Wang, Yue Liu, Yang Liu, Dilek Hakkani-Tur
In recent years, incorporating external knowledge for response generation in open-domain conversation systems has attracted great interest.
no code implementations • NAACL 2021 • Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han Wang, Chengwei Su, Yue Liu, Yang Liu
In dialog systems, the Natural Language Understanding (NLU) component typically makes the interpretation decision (including domain, intent and slots) for an utterance before the mentioned entities are resolved.
1 code implementation • Findings (ACL) 2021 • Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
Commonsense generation is a challenging task of generating a plausible sentence describing an everyday scenario using provided concepts.
1 code implementation • 29 Apr 2021 • Hanbo Zhang, Deyu Yang, Han Wang, Binglei Zhao, Xuguang Lan, Jishiyu Ding, Nanning Zheng
In this paper, we present a new dataset named REGRAD for the learning of relationships among objects and grasps.
no code implementations • 25 Apr 2021 • Jinglin Sun, Zhipeng Wu, Han Wang, Peiguang Jing, Yu Liu
However, most current eye trackers focus on 2D point of gaze (PoG) estimation and cannot provide accurate gaze depth. Concerning future applications such as HCI with 3D displays, we propose a novel binocular eye tracking device with stereo stimuli to provide highly accurate 3D PoG estimation.
no code implementations • 6 Apr 2021 • Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan
For example, with "add milk to my cart", a customer may refer to a certain organic product, while some customers may want to re-order products they regularly purchase.
no code implementations • 9 Feb 2021 • Linfeng Zhang, Han Wang, Roberto Car, Weinan E
Using the Deep Potential methodology, we construct a model that reproduces accurately the potential energy surface of the SCAN approximation of density functional theory for water, from low temperature and pressure to about 2400 K and 50 GPa, excluding the vapor stability region.
Chemical Physics
no code implementations • 12 Dec 2020 • Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, SiQi Liu, Han Wang, Xingzhi Sun, Mengling Feng
Cardiovascular disease is a major threat to health and one of the primary causes of death globally.
no code implementations • 9 Nov 2020 • Han Wang
Sparse approximation is the problem to find the sparsest linear combination for a signal from a redundant dictionary, which is widely applied in signal processing and compressed sensing.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Qi He, Han Wang, Yue Zhang
Pre-trained language models such as BERT have achieved the state-of-the-art performance on natural language inference (NLI).
no code implementations • 1 Aug 2020 • Yixiao Chen, Linfeng Zhang, Han Wang, E Weinan
We propose a general machine learning-based framework for building an accurate and widely-applicable energy functional within the framework of generalized Kohn-Sham density functional theory.
1 code implementation • 29 Jul 2020 • Han Wang, Chen Wang, Lihua Xie
As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving.
no code implementations • 5 Jun 2020 • Jianxing Huang, Linfeng Zhang, Han Wang, Jinbao Zhao, Jun Cheng, Weinan E
It has been a challenge to accurately simulate Li-ion diffusion processes in battery materials at room temperature using {\it ab initio} molecular dynamics (AIMD) due to its high computational cost.
Computational Physics Materials Science Chemical Physics
no code implementations • 22 May 2020 • Li Zhang, Han Wang, Lingxiao Li
Our model, SentPWNet, exploits the neighboring spatial distribution of each sentence as locality weight to indicate the informative level of sentence pair.
1 code implementation • 1 May 2020 • Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang
For 35 years, {\it ab initio} molecular dynamics (AIMD) has been the method of choice for modeling complex atomistic phenomena from first principles.
Computational Physics
1 code implementation • 12 Mar 2020 • Han Wang, Chen Wang, Lihua Xie
Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM).
2 code implementations • 1 Mar 2020 • Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang
Visual attention has proven to be effective in improving the performance of person re-identification.
Ranked #8 on Person Re-Identification on Market-1501
no code implementations • 25 Feb 2020 • Han Wang, Juncheng Li, Maopeng Ran, Lihua Xie
Our method is compared with the state-of-the-art loop closure detection methods and the results show that it outperforms the traditional methods at both recall rate and speed.
1 code implementation • 28 Oct 2019 • Yuzhi Zhang, Haidi Wang, WeiJie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, Weinan E
Materials 3, 023804] and is capable of generating uniformly accurate deep learning based PES models in a way that minimizes human intervention and the computational cost for data generation and model training.
Computational Physics
no code implementations • 18 Sep 2019 • Han Wang, Shangyu Xie, Yuan Hong
In this paper, to the best of our knowledge, we propose the first differentially private video analytics platform (VideoDP) which flexibly supports different video analyses with rigorous privacy guarantee.
1 code implementation • 27 Jun 2019 • Linfeng Zhang, Mohan Chen, Xifan Wu, Han Wang, Weinan E, Roberto Car
We introduce a deep neural network (DNN) model that assigns the position of the centers of the electronic charge in each atomic configuration on a molecular dynamics trajectory.
Computational Physics Materials Science Chemical Physics
1 code implementation • 10 May 2019 • Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu
Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development.
no code implementations • ICLR 2019 • Haihong Yang, Han Wang, Shuang Guo, Wei zhang, Huajun Chen
Our model consists of two parts: (i) a novel learning-to-decompose agent that learns a policy to decompose a compound question into simple questions and (ii) three independent simple-question answerers that classify the corresponding relations for each simple question.
no code implementations • 28 Oct 2018 • Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E
An active learning procedure called Deep Potential Generator (DP-GEN) is proposed for the construction of accurate and transferable machine learning-based models of the potential energy surface (PES) for the molecular modeling of materials.
1 code implementation • Sensors 2018 • Keyu Wu, Mahdi Abolfazli Esfahani, Shenghai Yuan, Han Wang
It is worth noting that the developed system is readily transferable from virtual training scenarios to real-world deployment without any fine-tuning by utilizing depth images.
no code implementations • 18 Sep 2018 • Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu
Adversarial machine learning in the context of image processing and related applications has received a large amount of attention.
1 code implementation • NeurIPS 2018 • Linfeng Zhang, Jiequn Han, Han Wang, Wissam A. Saidi, Roberto Car, Weinan E
Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology.
Computational Physics Materials Science Chemical Physics
no code implementations • 11 Apr 2018 • Han Wang, Ye Wang, Xinxiang Zhang, Mi Lu, Yoonsuck Choe, Jingjing Cao
Unlike previous unknown nouns tagging task, this is the first attempt to focus on out-of-vocabulary (OOV) lexical evaluation tasks that do not require any prior knowledge.
2 code implementations • 11 Dec 2017 • Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
Here we describe DeePMD-kit, a package written in Python/C++ that has been designed to minimize the effort required to build deep learning based representation of potential energy and force field and to perform molecular dynamics.
no code implementations • 10 Dec 2017 • Linfeng Zhang, Han Wang, Weinan E
Like metadynamics, it allows for an efficient exploration of the configuration space by adding an adaptively computed biasing potential to the original dynamics.
5 code implementations • 30 Jul 2017 • Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
We introduce a scheme for molecular simulations, the Deep Potential Molecular Dynamics (DeePMD) method, based on a many-body potential and interatomic forces generated by a carefully crafted deep neural network trained with ab initio data.
no code implementations • 21 Sep 2016 • Nian Cai, Zhineng Lin, Fu Zhang, Guandong Cen, Han Wang
Finally, the facial landmarks in the current frame are exactly detected from the validated face bounding box via the landmark detector.
no code implementations • 12 Sep 2014 • Habib Ammari, Han Wang
This paper presents premier and innovative time-domain multi-scale method for shape identification in electro-sensing using pulse-type signals.
no code implementations • 10 Oct 2013 • Habib Ammari, Stéphane Mallat, Irène Waldspurger, Han Wang
This paper aims at presenting a new approach to the electro-sensing problem using wavelets.