Yifang Chen

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 49

Top Topics

Error Resilient

Reinforcement Learning

Top Venues

Publications

Zaiqiao Meng, Hao Zhou, Yifang Chen
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction. CoRR (2024)
Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR (2024)
Yiping Wang, Yifang Chen, Wendan Yan, Kevin G. Jamieson, Simon Shaolei Du
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning. CoRR (2024)
Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du
Decoding-Time Language Model Alignment with Multiple Objectives. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) (2024)
Zhiqing Sun, Yifang Chen, Yi Xuan, Yuanzhong Chen, Yinan Lou
A Lightweight-Model Based Federated Learning Approach for Fault Diagnosis in Intelligent Power Distribution Systems. RICAI (2023)
Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin G. Jamieson, Robert D. Nowak
LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR (2023)
Xiangui Kang, Pengcheng Su, Zisheng Huang, Yifang Chen, Jie Wang
Double Compression Detection Based on the De-Blocking Filtering of HEVC Videos. ICASSP (2023)
Yifang Chen, Yingbing Huang, Simon S. Du, Kevin G. Jamieson, Guanya Shi
Active Representation Learning for General Task Space with Applications in Robotics. CoRR (2023)
Jie Wang, Xuemei Yin, Yifang Chen, Jiwu Huang, Xiangui Kang
An Adaptive IPM-Based HEVC Video Steganography via Minimizing Non-Additive Distortion. IEEE Trans. Dependable Secur. Comput. 20 (4) (2023)
Zhiqing Sun, Yifang Chen, Yi Xuan, Yuanzhong Chen, Yinan Lou
Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning. RICAI (2023)
Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du
Improved Active Multi-Task Representation Learning via Lasso. ICML (2023)
Yifang Chen, Yingbing Huang, Simon S. Du, Kevin G. Jamieson, Guanya Shi
Active representation learning for general task space with applications in robotics. NeurIPS (2023)
Yiping Wang, Yifang Chen, Kevin G. Jamieson, Simon S. Du
Improved Active Multi-Task Representation Learning via Lasso. CoRR (2023)
Mingyu Lu, Yifang Chen, Su-In Lee
A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior. CoRR (2022)
Jianyuan Wu, Tianyao Tong, Yifang Chen, Xiangui Kang, Wei Sun
An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics. Comput. Secur. 112 (2022)
Yifang Chen, Kevin G. Jamieson, Simon S. Du
Active Multi-Task Representation Learning. ICML (2022)
Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin G. Jamieson
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. ICML (2022)
Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. CoRR (2022)
Yifang Chen, Simon S. Du, Kevin Jamieson
Active Multi-Task Representation Learning. CoRR (2022)
Andrew J. Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin G. Jamieson
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes. ICML (2022)
Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler. CoRR (2022)
Yifang Chen, Simon S. Du, Kevin Jamieson
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. ICML (2021)
Shunmin Yang, Wenai Song, Yifang Chen, Lu Yang, Mingquan Wang, Yongjian Lian, Kangchi Liu
An Ultrasonic Laminated Transducer for Viscoelastic Media Detection. Sensors 21 (21) (2021)
Andrew Wagenmaker, Yifang Chen, Max Simchowitz, Simon S. Du, Kevin Jamieson
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach. CoRR (2021)
Yifang Chen, Simon S. Du, Kevin Jamieson
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. CoRR (2021)
Yifang Chen, Simon S. Du, Kevin G. Jamieson
Corruption Robust Active Learning. NeurIPS (2021)
Yifang Chen, Simon S. Du, Kevin Jamieson
Corruption Robust Active Learning. CoRR (2021)
Yifang Chen, Zheng Wang, Z. Jane Wang, Xiangui Kang
Automated Design of Neural Network Architectures With Reinforcement Learning for Detection of Global Manipulations. IEEE J. Sel. Top. Signal Process. 14 (5) (2020)
Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis
Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates. HRI (2020)
Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
The Fair Contextual Multi-Armed Bandit. AAMAS (2020)
Yujun Wei, Yifang Chen, Xiangui Kang, Z. Jane Wang, Liang Xiao
Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics. ICME (2020)
Yifang Chen, Xin Wang
More Practical and Adaptive Algorithms for Online Quantum State Learning. CoRR (2020)
Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
Fair Contextual Multi-Armed Bandits: Theory and Experiments. UAI (2020)
Yifang Chen, Xiangui Kang, Yun Q. Shi, Z. Jane Wang
A multi-purpose image forensic method using densely connected convolutional neural networks. J. Real Time Image Process. 16 (3) (2019)
Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization. CoRR (2019)
Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. CoRR (2019)
Peter Auer, Yifang Chen, Pratik Gajane, Chung-Wei Lee, Haipeng Luo, Ronald Ortner, Chen-Yu Wei
Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information. COLT (2019)
Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis
Fair Contextual Multi-Armed Bandits: Theory and Experiments. CoRR (2019)
Yifang Chen, Feng Peng, Xiangui Kang, Z. Jane Wang
Depthwise Separable Convolutional Neural Network for Image Forensics. VCIP (2019)
Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free. COLT (2019)
Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. CoRR (2019)
Yifang Chen, Xiangui Kang, Z. Jane Wang, Qiong Zhang
Densely Connected Convolutional Neural Network for Multi-purpose Image Forensics under Anti-forensic Attacks. IH&MMSec (2018)
Sorina Dumitrescu, Yifang Chen, Jun Chen
Index Mapping for Bit-Error Resilient Multiple Description Lattice Vector Quantizer. IEEE Trans. Commun. 66 (8) (2018)
Yifang Chen, Zi Xian Lyu, Xiangui Kang, Z. Jane Wang
A Rotation-Invariant Convolutional Neural Network for Image Enhancement Forensics. ICASSP (2018)
Yifeng Zhan, Yifang Chen, Qiong Zhang, Xiangui Kang
Image Forensics Based on Transfer Learning and Convolutional Neural Network. IH&MMSec (2017)
Sorina Dumitrescu, Yifang Chen, Jun Chen
Index mapping for bit-error resilient multiple description lattice vector quantizer. ISIT (2017)
Stefan Goniszewski, John C. Gallop, Mohammad Adabi, Krzysztof Gajewski, Olena Shaforost, Norbert Klein, Andrzej Sierakowski, Jie Chen, Yifang Chen, Teodor P. Gotszalk, Ling Hao
Self-supporting graphene films and their applications. IET Circuits Devices Syst. 9 (6) (2015)
Jing Wan, Shao-Ren Deng, Yifang Chen, Ejaz Huq, Ran Liu, Xin-Ping Qu
Trilayer nanoimprint fabrication and simulation of the silicon nanowire sensor for gas detection. NEMS (2009)