#Wang Jiahui

[andiessoccerblog]

Group D Breakdown

Expected to move on: England, Denmark

Expected to exit in group stage: China, Haiti

England

FIFA Ranking: 4

Reputation:

England is my favorite to win the World Cup. In 2022 they won the European Womens’ championship, cementing their position as a possible winner of the 2023 World Cup. Despite a few major injuries, the Lionesses are in fine form, and have a really solid core group of women with a good mix of veterans and young (but not inexperienced) talent. Their players mostly play at home in the FAWSL, possibly the best women's league in the world. The FAWSL also attracts international talents, so many of these players are already playing with and against their competitors, learning their styles and skills. Their coach Sarina Wiegman has a great record with England, and with the Netherlands in the 2019 World Cup where they made the final. 

Player Pool:

There are a couple veterans that deserve a call out, like defender Lucy Bronzeand midfielder Jordan Nobbs, but the energy and heart that makes this England squad different from past rosters comes in a group of younger players. Lauren Hemp, Alessia Russo, and Chloe Kelly will be playing in their first World Cup, and have been in outstanding form for their English clubs and at the international level. 

2019 WWC performance:

England did well in group play, led in scoring by Ellen White, who really came into her own this World Cup. They notably defeated previous runner up, Japan. They had perhaps the easiest path to the semifinals, taking on Cameroon and Norway. England was unlucky to come up against the USA in the semifinals instead of the finals, but they followed up their loss to the USA with a loss to Sweden, unlike 2015.

China

FIFA Ranking: 14

Reputation:

China used to be really good. Asia Games champions a couple times, deep runs into World Cups and olympics, but no Gold Medals.In the past, they have recruited top basketball, track, and volleyball players to play soccer in order to be faster and taller than their opponents. It’s an interesting strategy that hasn’t...not...worked. But it hasn’t really worked, either. They are showing an international comeback, including beating South Korea  in the 2022 Asian Cup Finals. They have kept up with teams close to them in rankings, but will struggle against any team in the top 10. 

Player Pool:

All of the players on the team except one  play in China, a league that I do not follow, but one player does play in the USA for Racing Louisville FC, Wang Shuang. Their team looks very different than the squad that represented China in 2019, so standout players are generally unpredictable. I would expect veteran forward Wang Shanshan and defender Lou Jiahui to feature in starting lineups.

2019 WWC performance:

China didn’t play horribly, but they weren’t the team seen in previous years either. They sneaked into the group stage after a loss to Germany by salvaging a tie against Spain. They were eliminated by dark horse Italy in the round of sixteen. In total, they only scored 1 goal in all four games, which means their defense maintained two shutouts and limited opponents’ goals quite well. 

Denmark

FIFA Ranking: 18

Reputation: 

If any group has the potential for a ranking upset, it is this one. Denmark, although ranked below China, has been testing their mettle against all of Europe, and have shown themselves to be a worthy inclusion to the World Cup. It is not their first, in fact it is their fourth World Cup, even though they haven’t qualified since 2007. They have been on the edge of qualifying for World Cups in the past couple years, and  now the expanded field of teams has allowed them back in the cloche, and I don’t see them wasting their opportunity. 

Player Pool:

The Denmark roster boasts players across all of the major leagues in Europe–England, France, Germany, Spain, Italy, and Sweden. Captain Pernille Harder plays for Chelsea FC, one of the best of the best clubs in the world, and is the top all-time goalscorer in Danish football history. Forwards Mille Gejl Jensen and Rikke Madsen have found success at their American club, North Carolina Courage, in the 2023 summer season, which likely helped them onto the roster. 

2019 WWC performance:

Did not qualify

Haiti

FIFA Ranking: 55

Reputation: 

Haiti has never played in a world tournament, and their narrow qualification was a very proud moment for the entire country, and for the larger CONCACAF region. They will probably struggle against the other teams in their group, but it will be valuable experience for the players going forward.

Player Pool:

Melchie Dumorney, midfielder, won the CONCACAF qualifying young player of the tournament, and scored the two decisive goals against Chile to qualify for the World Cup. There are a few players that play college soccer in the USA, but the majority of them play for smaller clubs in France, which does give them experience playing european-style soccer.

2019 WWC performance:

Did not qualify

[jcmarchi]

Google at NeurIPS 2023

New Post has been published on https://thedigitalinsider.com/google-at-neurips-2023/

Google at NeurIPS 2023

This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will have a strong presence with >170 accepted papers, two keynote talks, and additional contributions to the broader research community through organizational support and involvement in >20 workshops and tutorials. Google is also proud to be a Platinum Sponsor for both the Women in Machine Learning and LatinX in AI workshops. We look forward to sharing some of our extensive ML research and expanding our partnership with the broader ML research community.

Attending for NeurIPS 2023 in person? Come visit the Google Research booth to learn more about the exciting work we’re doing to solve some of the field’s most interesting challenges. Visit the @GoogleAI X (Twitter) account to find out about Google booth activities (e.g., demos and Q&A sessions).

You can learn more about our latest cutting edge work being presented at the conference in the list below (Google affiliations highlighted in bold). And see Google DeepMind’s blog to learn more about their participation at NeurIPS 2023.

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization Adel Javanmard, Vahab Mirrokni

Better Private Linear Regression Through Better Private Feature Selection Travis Dick, Jennifer Gillenwater*, Matthew Joseph

Binarized Neural Machine Translation Yichi Zhang, Ankush Garg, Yuan Cao, Łukasz Lew, Behrooz Ghorbani*, Zhiru Zhang, Orhan Firat

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran

Boosting with Tempered Exponential Measures Richard Nock, Ehsan Amid, Manfred Warmuth

Concept Algebra for (Score-Based) Text-Controlled Generative Models Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

Deep Contract Design via Discontinuous Networks Tonghan Wang, Paul Dütting, Dmitry Ivanov, Inbal Talgam-Cohen, David C. Parkes

Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai

Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasia Koloskova*, Ryan McKenna, Zachary Charles, J Keith Rush, Hugh Brendan McMahan

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products Tamas Sarlos, Xingyou Song, David P. Woodruff, Qiuyi (Richard) Zhang

Module-wise Adaptive Distillation for Multimodality Foundation Models

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

Multi-Swap k-Means++ Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

OpenMask3D: Open-Vocabulary 3D Instance Segmentation Ayça Takmaz, Elisabetta Fedele, Robert Sumner, Marc Pollefeys, Federico Tombari, Francis Engelmann

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning Dami Choi*, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Vempala, Alec Tan, Jocelyn Heath, Unnathi Kumar, Priyanka Mosur, Tavenner Hall, Rajandeep Singh, Christopher Cui, Glenn Cameron, Sohier Dane, Garrett Tanzer

Semi-Implicit Denoising Diffusion Models (SIDDMs) Yanwu Xu*, Mingming Gong, Shaoan Xie, Wei Wei, Matthias Grundmann, Kayhan Batmanghelich, Tingbo Hou

State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding Devleena Das, Sonia Chernova, Been Kim

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization Emanuele Bugliarello*, Hernan Moraldo, Ruben Villegas, Mohammad Babaeizadeh, Mohammad Taghi Saffar, Han Zhang, Dumitru Erhan, Vittorio Ferrari, Pieter-Jan Kindermans, Paul Voigtlaender

Subject-driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao*, Bahare Fatemi, Mike Burrows, Charith Mendis*, Bryan Perozzi

Training Chain-of-Thought via Latent-Variable Inference Du Phan, Matthew D. Hoffman, David Dohan*, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints Jayadev Acharya, Clement L. Canonne, Ziteng Sun, Himanshu Tyagi

What You See is What You Read? Improving Text-Image Alignment Evaluation Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya Krishna Menon, Harikrishna Narasimhan, Ankit Singh Rawat, Sanjiv Kumar

Accelerating Molecular Graph Neural Networks via Knowledge Distillation Filip Ekström Kelvinius, Dimitar Georgiev, Artur Petrov Toshev, Johannes Gasteiger

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Ziniu Hu*, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing “Spurious” Correlations Qingyao Sun, Kevin Patrick Murphy, Sayna Ebrahimi, Alexander D’Amour

Collaborative Score Distillation for Consistent Visual Editing Subin Kim, Kyungmin Lee, June Suk Choi, Jongheon Jeong, Kihyuk Sohn, Jinwoo Shin

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam

Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely, Nathan Srebro, Gal Vardi

A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit*, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit S Dhillon

DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field Chenyangguang Zhang, Yan Di, Ruida Zhang, Guangyao Zhai, Fabian Manhardt, Federico Tombari, Xiangyang Ji

Double Auctions with Two-sided Bandit Feedback Soumya Basu, Abishek Sankararaman

Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training Rie Johnson, Tong Zhang*

Large Graph Property Prediction via Graph Segment Training Kaidi Cao*, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis*, Jure Leskovec, Bryan Perozzi

On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon

On Student-teacher Deviations in Distillation: Does it Pay to Disobey? Vaishnavh Nagarajan, Aditya Krishna Menon, Srinadh Bhojanapalli, Hossein Mobahi, Sanjiv Kumar

Optimal Cross-learning for Contextual Bandits with Unknown Context Distributions Jon Schneider, Julian Zimmert

Near-Optimal k-Clustering in the Sliding Window Model David Woodruff, Peilin Zhong, Samson Zhou

Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Z Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

Recommender Systems with Generative Retrieval Shashank Rajput*, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh*, Kangwook Lee, Kimin Lee*

Replicable Clustering Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni, Grigoris Velegkas, Felix Zhou

Replicability in Reinforcement Learning Amin Karbasi, Grigoris Velegkas, Lin Yang, Felix Zhou

Riemannian Projection-free Online Learning Zihao Hu, Guanghui Wang, Jacob Abernethy

Sharpness-Aware Minimization Leads to Low-Rank Features Maksym Andriushchenko, Dara Bahri, Hossein Mobahi, Nicolas Flammarion

What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models Khashayar Gatmiry, Zhiyuan Li, Ching-Yao Chuang, Sashank Reddi, Tengyu Ma, Stefanie Jegelka

Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain

Boundary Guided Learning-Free Semantic Control with Diffusion Models Ye Zhu, Yu Wu, Zhiwei Deng, Olga Russakovsky, Yan Yan

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du*, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang

Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer, Martin Gauch, Daniel Klotz, Sepp Hochreiter

Does Visual Pretraining Help End-to-End Reasoning? Chen Sun, Calvin Luo, Xingyi Zhou, Anurag Arnab, Cordelia Schmid

Effective Robustness Against Natural Distribution Shifts for Models with Different Training Data Zhouxing Shi*, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel*, Yao Qin

Improving Neural Network Representations Using Human Similarity Judgments Lukas Muttenthaler*, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Sai Suggala

Mnemosyne: Learning to Train Transformers with Transformers Deepali Jain, Krzysztof Choromanski, Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Nash Regret Guarantees for Linear Bandits Ayush Sawarni, Soumyabrata Pal, Siddharth Barman

A Near-Linear Time Algorithm for the Chamfer Distance Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram, Sandeep Silwal, Erik Waingarten.

On Differentially Private Sampling from Gaussian and Product Distributions Badih Ghazi, Xiao Hu*, Ravi Kumar, Pasin Manurangsi

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh*, Marek Petrik

ResMem: Learn What You Can and Memorize the Rest Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar

Responsible AI (RAI) Games and Ensembles Yash Gupta, Runtian Zhai, Arun Suggala, Pradeep Ravikumar

RoboCLIP: One Demonstration Is Enough to Learn Robot Policies Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

Simplicity Bias in 1-Hidden Layer Neural Networks Depen Morwani*, Jatin Batra, Prateek Jain, Praneeth Netrapalli

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee

SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding Paul-Edouard Sarlin*, Eduard Trulls, Marc Pollefeys, Jan Hosang, Simon Lynen

SOAR: Improved Indexing for Approximate Nearest Neighbor Search Philip Sun, David Simcha, Dave Dopson, Ruiqi Guo, Sanjiv Kumar

StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee*, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang*, Yuanzhen Li, Irfan Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen*, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

Two-Stage Learning to Defer with Multiple Experts Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

AdANNS: A Framework for Adaptive Semantic Search Aniket Rege, Aditya Kusupati, Sharan Ranjit S, Alan Fan, Qingqing Cao, Sham Kakade, Prateek Jain, Ali Farhadi

Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer Bowen Tan*, Yun Zhu, Lijuan Liu, Eric Xing, Zhiting Hu, Jindong Chen

Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell

Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei A Efros, Aleksander Holynski

Fully Dynamic k-Clustering in Õ(k) Update Time Sayan Bhattacharya, Martin Nicolas Costa, Silvio Lattanzi, Nikos Parotsidis

Improving CLIP Training with Language Rewrites Lijie Fan, Dilip Krishnan, Phillip Isola, Dina Katabi, Yonglong Tian

<!–k-Means Clustering with Distance-Based Privacy Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong

–>

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun Reddy Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management Dhawal Gupta*, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh*, Craig Boutilier

Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Jacob Leeman, Pasin Manurangsi, Avinash V Varadarajan, Chiyuan Zhang

Paraphrasing Evades Detectors of AI-generated Text, but Retrieval Is an Effective Defense Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation Shuyang Sun*, Weijun Wang, Qihang Yu*, Andrew Howard, Philip Torr, Liang-Chieh Chen*

Robust and Actively Secure Serverless Collaborative Learning Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

Structured Prediction with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong

Affinity-Aware Graph Networks Ameya Velingker, Ali Kemal Sinop, Ira Ktena, Petar Veličković, Sreenivas Gollapudi

ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections Chun-Han Yao*, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani

Black-Box Differential Privacy for Interactive ML Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer

Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits Haolin Liu, Chen-Yu Wei, Julian Zimmert

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model

Xiuye Gu, Yin Cui*, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen*, David Ross

Easy Learning from Label Proportions Robert Busa-Fekete, Heejin Choi*, Travis Dick, Claudio Gentile, Andres Munoz Medina

Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De

Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam*, Thomas Steinke, Abhradeep Guha Thakurta

Finding Safe Zones of Markov Decision Processes Policies Lee Cohen, Yishay Mansour, Michal Moshkovitz

Focused Transformer: Contrastive Training for Context Scaling Szymon Tworkowski, Konrad Staniszewski, Mikołaj Pacek, Yuhuai Wu*, Henryk Michalewski, Piotr Miłoś

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

H-Consistency Bounds: Characterization and Extensions Anqi Mao, Mehryar Mohri, Yutao Zhong

Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation David Brandfonbrener, Ofir Nachum, Joan Bruna

Most Neural Networks Are Almost Learnable Amit Daniely, Nathan Srebro, Gal Vardi

Multiclass Boosting: Simple and Intuitive Weak Learning Criteria Nataly Brukhim, Amit Daniely, Yishay Mansour, Shay Moran

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas Guibas, Ke Li

Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation Wei-Ning Chen, Dan Song, Ayfer Ozgur, Peter Kairouz

Private Federated Frequency Estimation: Adapting to the Hardness of the Instance Jingfeng Wu*, Wennan Zhu, Peter Kairouz, Vladimir Braverman

RETVec: Resilient and Efficient Text Vectorizer Elie Bursztein, Marina Zhang, Owen Skipper Vallis, Xinyu Jia, Alexey Kurakin

Symbolic Discovery of Optimization Algorithms Xiangning Chen*, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa F. Polania, Varun Jampani, Deqing Sun, Ming-Hsuan Yang

A Trichotomy for Transductive Online Learning Steve Hanneke, Shay Moran, Jonathan Shafer

A Unified Fast Gradient Clipping Framework for DP-SGD William Kong, Andres Munoz Medina

Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla, Galen Andrew, Peter Kairouz, H. Brendan McMahan, Alina Oprea, Sewoong Oh

(Amplified) Banded Matrix Factorization: A unified approach to private training Christopher A Choquette-Choo, Arun Ganesh, Ryan McKenna, H Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu

Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel, Steve Hanneke, Shay Moran, Abhishek Shetty

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam

Android in the Wild: A Large-Scale Dataset for Android Device Control Christopher Rawles, Alice Li, Daniel Rodriguez, Oriana Riva, Timothy Lillicrap

Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

Building Socio-culturally Inclusive Stereotype Resources with Community Engagement Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran

Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann, Gbolahan O Olanubi, Auriel Wright, Ellis Monk Jr*, Courtney Heldreth, Susanna Ricco

Counting Distinct Elements Under Person-Level Differential Privacy Alexander Knop, Thomas Steinke

DICES Dataset: Diversity in Conversational AI Evaluation for Safety Lora Aroyo, Alex S. Taylor, Mark Diaz, Christopher M. Homan, Alicia Parrish, Greg Serapio-García, Vinodkumar Prabhakaran, Ding Wang

Does Progress on ImageNet Transfer to Real-world Datasets? Alex Fang, Simon Kornblith, Ludwig Schmidt

Estimating Generic 3D Room Structures from 2D Annotations Denys Rozumnyi*, Stefan Popov, Kevis-kokitsi Maninis, Matthias Nießner, Vittorio Ferrari

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset Sneha Kudugunta, Isaac Caswell, Biao Zhang, Xavier Garcia, Derrick Xin, Aditya Kusupati, Romi Stella, Ankur Bapna, Orhan Firat

Mechanic: A Learning Rate Tuner Ashok Cutkosky, Aaron Defazio, Harsh Mehta

NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations Varun Jampani, Kevis-kokitsi Maninis, Andreas Engelhardt, Arjun Karpur, Karen Truong, Kyle Sargent, Stefan Popov, Andre Araujo, Ricardo Martin Brualla, Kaushal Patel, Daniel Vlasic, Vittorio Ferrari, Ameesh Makadia, Ce Liu*, Yuanzhen Li, Howard Zhou

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Nunez, James Lottes, Qing Wang, Yi-Fan Chen, John Roberts Anderson, Fei Sha

Restart Sampling for Improving Generative Processes Yilun Xu, Mingyang Deng, Xiang Cheng, Yonglong Tian, Ziming Liu, Tommi Jaakkola

Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial? Fan Yao, Chuanhao Li, Karthik Abinav Sankararaman, Yiming Liao, Yan Zhu, Qifan Wang, Hongning Wang, Haifeng Xu

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko

RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick

Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi, Yangsibo Huang*, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang

StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett

Universality and Limitations of Prompt Tuning Yihan Wang, Jatin Chauhan, Wei Wang, Cho-Jui Hsieh

Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi

YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus Dave Uthus, Garrett Tanzer, Manfred Georg

The Noise Level in Linear Regression with Dependent Data Ingvar Ziemann, Stephen Tu, George J. Pappas, Nikolai Matni

[wosofanstuff]

I would be interested in Sarah Däbritz and Lieke Martens. If you still have them.

I have Vic Essen, Olivia Chance, Julie Blakstad, CGH, Emilie Bosshard Haavi, Katrina Guillou, Hazel Nali, Racheal Kudananji, Roselord Borgella, Nérilia Mondésir, Lou Jiahui, Wang Shuang, Zhang Rui, Alex Popp (Beyond Greatness), Nguyen Thi Bich Thuy, Portugal Logo, Ana Borges, Selma Bacha, Allyson Swaby, Chanetelle Swaby, Havana Solaun, Brazil Logo, Kathellen, South Africa Logo, Melinda Kgadiete, Feli Rauch, Salma Amani, Linda Caicedo

I would swap one of them (which one do you want) against Selma Bacha

[canolove]

CMovie ‘One Week Friends’ {{一周的朋友}} Posters

(January 2022)

[golden-china]

Wang Xiaodi, Wang Jiahui, Gao Ning, Dong Yueyang (Hebei) & Deng Yalan (Jiangxi), 2020 Chinese Nationals

Wang Xiaodi Wang Jiahui || Deng Yalan Wang Jiahui Deng Yalan || Gao Ning Deng Yalan Wang Xiaodi || Wang Jiahui Dong Yueyang Source: 过期杯面, 体操光年, 体操光年

[heymeowmao]

清风朗月花正开 | The Flowers Are Blooming E9 ❀ Wang Sheng

[shadowetienne]

Etienne’s Top Fives of 2018: Cpop Edition - PD101 China Stages

Thank you to @kellyren92 for requesting my top Cpop Survival Show Stages. Here’s the second half of the post.

So... I realized while making this list just how heavily my favorites in the show were showing, and my honorable mention for this list is not actually going to be exactly from the show but an acknowledgement of that.

I struggled more with PD101 China as a show than Idol Producer in many ways. They were going for something that felt bigger, and flashier, and higher stakes, and I felt like sometimes, it didn’t do the girls favors. Watching them back to back, I missed the narrative of camaraderie that was so present in Idol Producer. I also came in to PD101 China really really attached to one particular contestant (we’ll get back to that), and didn’t entirely like the way that the show treated her overall.

That being said, I still enjoyed watching PD101 China, and I do plan to watch further seasons. I like that it expanded my horizons in in Cpop and helped me grow the groups and upcoming groups that I know. I hope to see a lot more debuts come out of the contestants in the next year or so.

Under the cut, you’ll find my Top Five PD101 China Stages (of 2018).

Honorable Mention: Apparently One of These Two Has to be Onstage for me to Like the Stage - Sunnee and Angela performing “说散就散“

[[VIDEO LINK]] (go glory in their beautiful vocals)

This wasn’t on the show itself, but it was filmed by my two favorite contestants shortly afterwards, and I really want to see them do more collaboration in the future because their voices together when they are basically just fooling around are marvelous. I didn’t realize quite how much I had two very specific favorites until I was putting this list together. I mean, I realized about Sunnee (she’s the one I went into being like, as long as she does well, I will be happy), but Angela apparently snuck up on me more than I’d even realized during the show. Look forward to seeing a lot more of the two of them!

5. Battle Round: “Sugar”

Contestants Featured: Sunnee, Angela Hui, Re Yina, Xu Mengjie, Liu Danmeng, Li Zixuan, Yin Rui

This stage was so fun. They were clearly having a good time being out there and being on stage, and they also really sold it. Sunnee was of course amazing, though the camerawork still irritates me a little bit for her sake. Angela was wonderful, and all the others did a really good job too. This stage definitely left me with a lingering fondness for all the girls on it as the show progressed.

4. Concept Evaluation “摩天轮的眼泪” [“Tears of Ferris Wheel”]

Contestants Featured: Sunnee, Zhang Zining, Wei Jin, Jiang Shen, Qiang Dongyue, Chen Yihan

This was my favorite of the concept evaluation songs, and not just because Sunnee was in it. It’s honestly the one that has stuck with me the most of all of them, and the one that I’ve listened to far and away the most times. This was where Zining really got my attention, and it was the thing that I was happy that Wei Jin and Jiang Shen both made it far enough for. I was glad that Dongyue got to have a good stage here, and just overall, it was a really good song.

My favorite moments are definitely Sunnee getting to fully play the role of a vocal rather having to do a little bit of everything.

3. Vocal Evaluation: “Let Me Love You”

Contestants Featured: Angela Hui, Lai Meiyun, Duan Aojuan, Gao Qiuzi, Liu Nian

This was my favorite vocal evaluation. Angela’s voice is amazing here, and this was where I really started to appreciate Meiyun. Aojuan really got to lean into her comfort zone and show off her incredible voice. Everyone did really well, and I really liked the arrangement and the harmonization. (And look, not every single stage on this list is one that Sunnee was in...).

My favorite part of this stage was definitely Angela and Meiyun harmonizing.

2. Composition Evaluation: “木兰说” [“Mulan Says”]

Competitors Featured: Sunnee, Yamy, Jiao Manting, Ge Jiahui, Wang Ju, Wei Jin

I loved how cool this stage was. The song was catchy and they were the main driving force in writing it. Having a composition element was my single favorite new thing that PD101 China decided to do. This song was great, and I really enjoyed the way it tied some classical Chinese elements to rock sounds. This was also really where Wei Jin got my attention. Sunnee and Yamy were incredible, both in how they used their voices, but also in terms of stage presence.

1. Final Stage: “逆风” [“Against the Wind”]

(I really wish that I could find a better video of this)

Competitors Featured: Sunnee, Angela Hui, Yami, Lai Meiyun, Duan Aojuan, Gao Qiuzi, Fu Jing, Yamy, Li Zixuan, Wu Xuanyi, Liu Renyu, Wang Ju

I really liked this song, and I felt a lot of relief that this show was wrapping up because it was a rocky ride in some ways. I was really happy to have Sunnee and Angela end up on the same stage for the Final. It was a good last stage for Angela because she really shone as an amazing vocalist (and I was pretty sure that she wasn’t making the final group already). Sunnee’s vocals got used actually well in the song. I also just get the chorus stuck in my head, which is a generally good thing for this sort of song.

I liked plenty of other stages in PD101 China, but I came into this with a strong and admitted preference for a few specific contestants. I’m in general proud of all the girls, and I hope that they get to do more and more awesome things that make them happy and give them the chance to perform to their utmost.

[phoenixmsj]

EDITORIAL BOARD 2020 - 21

Editor-in-Chief: Zainab Fatima Editor-in-Chair: Yawen Xue Layout Editor: Katherine Zhang Business Manager: Michelle Zhao Publicity/Events Manager: Aria Lakhmani

Writing Editors: Zainab Fatima, Aria Lakhmani, Shelly Li, Laura Ma, Tanisha Srivatsa, Ellie Tng, Sakshi Umrotkar, Angela Xiong, Yawen Xue

Art Editors: Julianna Dong, Jiahui Huang, Mingxin Wang, Selina Yang, Katherine Zhang, Michelle Zhao

Copy Editors: Laura Ma, Tanisha Srivatsa

[downloadfilmsubindo]

✓ DOWNLOAD: ❤️ Film China One Week Friends (2022) Eng Subtitle Indonesia

✓ DOWNLOAD: ❤️ Film China One Week Friends (2022) Eng Subtitle Indonesia

Seorang siswa pindahan baru, Lin Xiangzhi (Zhao Jinmai), yang pendiam dan cerdas tetapi selalu sendirian, tidak berteman dengan siswa lain. Namun, dia menarik perhatian Xu Youshu (Lin Yi), seorang sampah kelas. Dalam proses mencoba untuk berteman dengan Lin Xiangzhi, dia, Song Xiaonan (Shen Yue) yang eksentrik dan Jiang Wu (Wang Jiahui) yang berkepala dingin menemukan rahasia Lin Xiangzhi, bahwa…

[korrektheiten]

Geplatzte Impfhoffnung: COVID-Impfung führt zu Impfstoff resistenten Mutationen von SARS-CoV-2 [explosive Studie]

ScienceFiles: Das ist die Studie, auf die wir gewartet haben: Wang, Rui, Chen, Jiahui & Wei, Guo-Wei alle an der Michigan State University beschäftigt [leicht an den Namen erkennbar], haben sie erstellt. Sie trägt den Titel: “The evolution of the mechanisms of SARS-CoV-2 evolution revealing vaccine-resistant mutations in Europe and America“. Sie ist gerade im Journal […] http://dlvr.it/SDzF0K

[fayewonglibrary]

Faye Wong Cherishes Teresa Teng’s Memory On 18th Anniversay Of Her Death (2013)

On May 8th, 1995, Taiwanese superstar Teresa Teng died from a severe respiratory attack in Thailand. 18 years later, Faye Wong expressed her gratitude towards the signer.

Faye Wong cherished the memory of the beloved singer by posting a short message on her Weibo account. "Thank you for having been there at all. May your beauty continue on," she said.

A memorial concert for Teresa Teng will be held in Beijing on May 19th at the Capital Indoor Stadium. Faye Wong will be performing 4 of Teng's songs at the concert, including "Qing Ping Diao", "Du Shang Xi Lou", "Shui Shang Ren" and "Wei Feng Xi Yu".

The upcoming commemorative concert was put together by Teresa Teng's older brother Deng Chang Fu, the chairman the Culture and Education Foundation. In addition to the Beijing concert, another concert is being held on May 12th in Taipei.

Teresa Teng is one of China's biggest artists of all time. The singer found popularity across all of Asia with her love songs, particularly during the 70s and 80s, leading to the saying "Wherever there are Chinese people, the songs of Teresa Teng can be heard."

SOURCE: JPOPASIA

------------------------------------------------------------------  

Faye Wong sang 4 songs in memory of Teresa Teng: She is my teacher of enlightenment

Last night, Teresa Teng’s 60th Birthday Commemorative Concert was held at the Beijing Capital Indoor Stadium. Many singers such as Faye Wong, Yu Quan, Mao Ning, Peng Jiahui, Zhang Liangying, Cao Ge, Xiao Jingteng, Ping An, etc., appeared to commemorate Teresa Teng. The large screen incorporated videos of Teresa Teng’s life. Memories of many years ago were brought back to the audience in a blend of singing and pictures.

The concert started with two Teresa Teng masterpieces: "Evening Primrose" and "See the Chimney Smoke Again" by singers Wang Jing and Chen Jia. When the third singer Tong Yao appeared, the audience suddenly burst into applause because Tong Yao's appearance, hairstyle and voice were similar to Teresa Teng. The first small climax of the concert happened when Xiao Jingteng took the stage. He sang Teresa’s four songs in his unique and affectionate voice, including the classic song released in 1986: “I Only Care About You".

After Xiao Jingteng, veteran rookies such as Ping Jiahui, Peng Jiahui, Mao Ning, Cao Ge, and Zhang Liangying took the stage one after another, bringing Teresa Teng’s “The Moon Represents My Heart”, “High Mountain Green”, “Do Not Pick Wildflowers by the Roadside”, “If You Can”, “One Wish", "Naihe", "Haiyun", "Yuanxiangren", "If I am Real", "Yunhe", "Sweet Honey" and other works. The emotions of the audience followed these memorable melodies. The atmosphere in the venue was sometimes somber and sometimes lively. The singing made the space and time shuttle between reality and memories. Teresa Teng has been gone for 18 years, but people have never forgotten her name.

Faye Wong, the penultimate performer, was the biggest attraction of this concert. Before Faye Wong even appeared, the audience had already burst into applause in anticipation of her appearance on stage and people shouted her name. At this time, the venue was filled with the singing voice of Teresa Teng’s unfinished work "Qing Ping Diao". When the song was halfway through, Faye Wong slowly came up from a rising platform in the middle of the stage in a bright silver dress. It was somewhat similar to Teresa Teng's later style. In addition, Faye wrote a monologue on the big screen, "She is my music enlightenment teacher.” Faye Wong still sang without saying anything, and sang 4 works including "Alone In The West Chamber" and "Place of First Love" in one breath. The cheers of the audience rang from before Faye hit the stage and continued until she left the stage.

SOURCE: SINA // TRANSLATED BY: FAYE WONG FUZAO

------------------------------------------------------------------  

Faye Wong pays tribute to late idol Teresa Teng

The Chinese singer fulfilled her longtime wish of singing with Teresa Teng through a virtual performance at the late idol’s memorial concert

Faye Wong paid tribute to her late idol Teresa Teng at the latter’s memorial concert held in Beijing two days ago.

During the concert, which marked the 60th anniversary of the birth of Teresa, Faye appeared on stage while a video of Teresa performing her song ‘Qing Ping Diao’ played on the big screen. Facing the big screen while singing ‘Qing Ping Diao’, Faye fulfilled her longtime wish of singing with her idol through the virtual collaboration.

According to the Taiwanese media, the Chinese singer used to be in the same record company as Teresa and saw the Mandopop legend as her idol. It was said that Faye was initially supposed to collaborate on a new song with Teresa, but the plan was disrupted by the latter’s sudden death.

While performing the song ‘Du Shang Xi Lou’, an emotional Faye told the audience, “Teresa was my mentor who brought me into the music scene.” After the song ended, Faye accidentally missed a step and almost fell down while walking down the stairs; the singer picked herself up and laughed in embarrassment.

Other artistes who performed at the memorial concert included Taiwanese artistes Jam Hsiao and Peng Jiahui as well as Chinese singer Wang Jing. The artistes relived the memories of the well-loved late singer as they performed their own renditions of Teresa’s classic songs. Wang Jing, who has been dubbed the “little Teresa”, impressed the crowd with her beautiful and sweet voice as she performed one of Teresa’s most well-known songs ‘Ye Lai Xiang’.

SOURCE: MSN XIN

[svabfacad]

The Cardiff International Film Festival, hosted in South Wales, runs from October 27th to the 29th. Welcoming submissions from all nations, Cardiff seeks to elevate projects and voices from all across the world. You can catch a multitude of SVA films there at the end of this month!

Cicada by Gabriel Borregales

Spring by Yuanzhi Chen

Don’t Talk to Strangers by Dae Yeon Cho, Kira Tianqi Yu, Jiahui Guo

Gauntlet by Brandon Tabone

Runaway Plane by Tara Holland & Jesse Kukucka-Doney

Raven by Wonsuk Choi

City Lights by Cat McDonnell

Broadside by Jodi Chamberlain

Over Easy by Kasia Nowak

A Brunch With Death by Sebastian Gat

Tools of the Trade by Jenna Howard

The Novice by Alejandra Alvarez & Courtney Scriven

Allegory by Michael Parisella

Anatidaephobia by Wang Geun Noh

Illuminosity by Jeffrey Meacham & Michael Rootare

Wither to Bloom by Rachel Moon

pas D'yeux by Thao Dan Nguyen Phan

Playground Warfare by Christin Scarborough

Wonder Dog by Janice Lee & Meg Pangiochi

Hirvio by Daniel West and Brian Kelso-Gillespie

In Between by Scarlett Thiele

Somnia by Zavier Mojica

Oh, Dear by Raquel Fogel

[scienceblogtumbler]

Engineers imitate human hands to make better sensors

An international research team has developed “electronic skin” sensors capable of mimicking the dynamic process of human motion. This work could help severely injured people, such as soldiers, regain the ability to control their movements, as well as contribute to the development of smart robotics, according to Huanyu “Larry” Cheng, Dorothy Quiggle Early Career Professor in the Penn State Department of Engineering Science and Mechanics.

Cheng and collaborating researchers based in China published their work in a recent issue of Nano Energy.

“The skin of the human hand is amazing — that’s what we tried to imitate,” Cheng said. “How do we capture texture and force? What about the years of evolution that produced the impressive sensitivity of the fingertip? We’re attempting to reproduce this biological and dynamic process to enable objects to behave similarly to the human hand.”

The dual-mode sensor measures both the magnitude and load of movement, such as the effort of swinging a tennis racquet, as well as rate, duration and direction. The trick was to decouple this measurement and understand how the separate parameters influence each other.

For example, bouncing a tennis ball gently on a racquet requires different input than serving a ball to an opponent. Those same variables come into play when a person with a prosthetic arm needs to differentiate between handling an egg or carrying a watermelon.

“We can apply these sensors to help people capture the magnitude for pressing, bending and more,” Cheng said. “We can also use these sensors on soft robotics to manipulate delicate objects, like catching a fish, or even in a disaster when they may need to crawl into irregular spaces and move debris.”

The data is informed by synergy created between the piezoelectric and piezoresistive signals, according to Cheng. Piezoelectric signals measure outside force — such as pressure — to create electrical charge, while piezoresistive signals mitigate the current. The dual mode sensors are sandwiched together, with two internal layers of pyramid-shaped microstructures facing one another. The microstructures measure magnitude and duration measurements from the piezoresistive layer and the dynamic loading rate and direction from the piezoelectric layer. This synergistic effect allows for a high sensitivity over a broad pressure and frequency range, meaning that researchers can precisely measure the force and flexibility needed to imitate specific movements.

“We combined the best of the best models and sensors to create something new,” Cheng said.

Penn State has filed a provisional patent for the developed technology. This work was funded in part by The National Science Foundation of China, the Zhejiang Provincial Natural Science Foundation of China, the Fundamental Research Funds for the Provincial Universities of Zhejiang, the 111 Project and the Zhejiang Lab’s International Talent Fund for Young Professionals partially funded this research.

Cheng collaborated with the following individuals affiliated with Zhejiang University of Technology: Ye Qiu, visiting doctoral student in engineering science and mechanics; Ye Tian, assistant professor; Shenshen Sun and Jiahui Hu, both graduate students in mechanical engineering; Youyan Wang, researcher; Zheng Zhang, professor; Weizhan Gao, graduate student in control science and engineering; Wen-An Zhang, professor; and Hao Chai, lecturer. Qui, Tian, Sun, Hu, Wang and Zhang are also affiliated with the Key Laboratory of Special Purpose Equipment and Advanced Processing Technology.

source https://scienceblog.com/518545/engineers-imitate-human-hands-to-make-better-sensors/

[golden-china]

Good luck to China’s new seniors! Ou Yushan || Guan Chenchen Wei Xiaoyuan || Chen Yanfei He Licheng || Xiang Lulu Wang Jingying || Liang Qifeng Wang Jiqing || Wu Ruozhu An An Yiling, Dong Yueyang, Gao Ning, Huang Zhixin, Lan Jiayi, Li Haoyuan, Li Ruiyan, Lin Yuting, Lin Yuxin, Long Shulei, Luo Ruyu, Qiao Xinyu, Sun Xinyi, Wang Jiahui, Wu Min, Wu Siyuan, Ye Meng, Zhang Silei, Zhao Hongye and Zhou Qiqi. And I want to wish everyone a very happy new year! Gelukkig nieuwjaar!

[siskamenol-blog]

Dramatis, Penyanderaan Seorang Anak yang Berakhir Menegangkan, Cek Rekaman CCTV nya, Horor!

Siska Menol Berita Dramatis, Penyanderaan Seorang Anak yang Berakhir Menegangkan, Cek Rekaman CCTV nya, Horor! Baru Banyak Artikel Tentang Dramatis, Penyanderaan Seorang Anak yang Berakhir Menegangkan, Cek Rekaman CCTV nya, Horor! Pencarian Artikel Tentang Dramatis, Penyanderaan Seorang Anak yang Berakhir Menegangkan, Cek Rekaman CCTV nya, Horor! Silahkan Cari Dalam Database Kami, Pada Kolom Pencarian Tersedia. Jika Tidak Menemukan Apa Yang Anda Cari, Kemungkinan Artikel Sudah Tidak Dalam Database Kami. Judul Informasi Artikel : Dramatis, Penyanderaan Seorang Anak yang Berakhir Menegangkan, Cek Rekaman CCTV nya, Horor! Awal kejadiannya ialah saat itu ada dua orang satpam bernama Zhu Jiang dan Wang Jiahui yang sedang dalam perjalanan pulang ke rumah. http://www.unikbaca.com