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Journal Articles
- 2023
[j7]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): 2896-2912 (2023)- 2022
- [j6]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: 102497 (2022) - 2021
- [j5]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): 7188 (2021) - 2020
- [j4]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): 997-1011 (2020) - 2019
- [j3]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): 725-740 (2019) - 2018
- [j2]Sorina Dumitrescu, Yifang Chen, Jun Chen:
Index Mapping for Bit-Error Resilient Multiple Description Lattice Vector Quantizer. IEEE Trans. Commun. 66(8): 3638-3652 (2018) - 2015
- [j1]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): 420-427 (2015)
Conference and Workshop Papers
- 2024
- [c23]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: 6549-6560 - 2023
- [c22]Xiangui Kang, Pengcheng Su, Zisheng Huang, Yifang Chen, Jie Wang:
Double Compression Detection Based on the De-Blocking Filtering of HEVC Videos. ICASSP 2023: 1-5 - [c21]Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du:
Improved Active Multi-Task Representation Learning via Lasso. ICML 2023: 35548-35578 - [c20]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 - [c19]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: 554-559 - [c18]Zhiqing Sun, Yifang Chen, Yi Xuan, Yuanzhong Chen, Yinan Lou:
Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning. RICAI 2023: 745-750 - 2022
- [c17]Yifang Chen, Kevin G. Jamieson, Simon S. Du:
Active Multi-Task Representation Learning. ICML 2022: 3271-3298 - [c16]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: 22384-22429 - [c15]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: 22430-22456 - 2021
- [c14]Yifang Chen, Simon S. Du, Kevin Jamieson:
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. ICML 2021: 1561-1570 - [c13]Yifang Chen, Simon S. Du, Kevin G. Jamieson:
Corruption Robust Active Learning. NeurIPS 2021: 29643-29654 - 2020
- [c12]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
The Fair Contextual Multi-Armed Bandit. AAMAS 2020: 1810-1812 - [c11]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: 299-308 - [c10]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: 1-6 - [c9]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
Fair Contextual Multi-Armed Bandits: Theory and Experiments. UAI 2020: 181-190 - 2019
- [c8]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: 159-163 - [c7]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: 696-726 - [c6]Yifang Chen, Feng Peng, Xiangui Kang, Z. Jane Wang:
Depthwise Separable Convolutional Neural Network for Image Forensics. VCIP 2019: 1-4 - 2018
- [c5]Yifang Chen, Zi Xian Lyu, Xiangui Kang, Z. Jane Wang:
A Rotation-Invariant Convolutional Neural Network for Image Enhancement Forensics. ICASSP 2018: 2111-2115 - [c4]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: 91-96 - 2017
- [c3]Yifeng Zhan, Yifang Chen, Qiong Zhang, Xiangui Kang:
Image Forensics Based on Transfer Learning and Convolutional Neural Network. IH&MMSec 2017: 165-170 - [c2]Sorina Dumitrescu, Yifang Chen, Jun Chen:
Index mapping for bit-error resilient multiple description lattice vector quantizer. ISIT 2017: 2588-2592 - 2009
- [c1]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: 1013-1016
Informal and Other Publications
- 2024
- [i21]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 abs/2401.06692 (2024) - [i20]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 abs/2402.02055 (2024) - [i19]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 abs/2405.19547 (2024) - [i18]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 abs/2406.18853 (2024) - [i17]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 abs/2407.02119 (2024) - [i16]Zaiqiao Meng, Hao Zhou, Yifang Chen:
I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction. CoRR abs/2407.14133 (2024) - 2023
- [i15]Yiping Wang, Yifang Chen, Kevin G. Jamieson, Simon S. Du:
Improved Active Multi-Task Representation Learning via Lasso. CoRR abs/2306.02556 (2023) - [i14]Yifang Chen, Yingbing Huang, Simon S. Du, Kevin G. Jamieson, Guanya Shi:
Active Representation Learning for General Task Space with Applications in Robotics. CoRR abs/2306.08942 (2023) - [i13]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 abs/2306.09910 (2023) - 2022
- [i12]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 abs/2201.11206 (2022) - [i11]Yifang Chen, Simon S. Du, Kevin Jamieson:
Active Multi-Task Representation Learning. CoRR abs/2202.00911 (2022) - [i10]Mingyu Lu, Yifang Chen, Su-In Lee:
A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior. CoRR abs/2205.02944 (2022) - [i9]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 abs/2211.02233 (2022) - 2021
- [i8]Yifang Chen, Simon S. Du, Kevin Jamieson:
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning. CoRR abs/2102.06875 (2021) - [i7]Yifang Chen, Simon S. Du, Kevin Jamieson:
Corruption Robust Active Learning. CoRR abs/2106.11220 (2021) - [i6]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 abs/2112.03432 (2021) - 2020
- [i5]Yifang Chen, Xin Wang:
More Practical and Adaptive Algorithms for Online Quantum State Learning. CoRR abs/2006.01013 (2020) - 2019
- [i4]Yifang Chen, Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei:
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free. CoRR abs/1902.00980 (2019) - [i3]Houston Claure, Yifang Chen, Jignesh Modi, Malte F. Jung, Stefanos Nikolaidis:
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams. CoRR abs/1907.00313 (2019) - [i2]Abhishek Roy, Yifang Chen, Krishnakumar Balasubramanian, Prasant Mohapatra:
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization. CoRR abs/1912.01698 (2019) - [i1]Yifang Chen, Alex Cuellar, Haipeng Luo, Jignesh Modi, Heramb Nemlekar, Stefanos Nikolaidis:
Fair Contextual Multi-Armed Bandits: Theory and Experiments. CoRR abs/1912.08055 (2019)
Coauthor Index
aka: Simon Shaolei Du
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