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Yingxiang Yang
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2020 – today
- 2024
- [c11]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR 2024 - [i9]Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang:
How Can LLM Guide RL? A Value-Based Approach. CoRR abs/2402.16181 (2024) - [i8]Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang:
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR abs/2403.07191 (2024) - [i7]Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang:
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR abs/2405.16436 (2024) - 2023
- [i6]Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang:
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR abs/2310.06272 (2023) - [i5]Xiaohui Chen, Yongfei Liu, Yingxiang Yang, Jianbo Yuan, Quanzeng You, Li-Ping Liu, Hongxia Yang:
Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. CoRR abs/2311.17126 (2023) - 2022
- [c10]Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang:
Fourier Learning with Cyclical Data. ICML 2022: 25280-25301 - 2020
- [b1]Yingxiang Yang:
Efficient learning of temporal dynamics with first-order methods. University of Illinois Urbana-Champaign, USA, 2020 - [c9]Yingxiang Yang, Negar Kiyavash, Le Song, Niao He:
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS 2020
2010 – 2019
- 2019
- [c8]Yingxiang Yang, Haoxiang Wang, Negar Kiyavash, Niao He:
Learning Positive Functions with Pseudo Mirror Descent. NeurIPS 2019: 14144-14154 - 2018
- [c7]Yingxiang Yang, Bo Dai, Negar Kiyavash, Niao He:
Predictive Approximate Bayesian Computation via Saddle Points. NeurIPS 2018: 10282-10291 - [i4]Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao:
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR abs/1803.03919 (2018) - 2017
- [c6]Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash:
Online Learning for Multivariate Hawkes Processes. NIPS 2017: 4937-4946 - 2016
- [c5]Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González:
Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. AAAI 2016: 4276-4277 - 2015
- [j2]Yingxiang Yang, Leonard T. Park, Narayan B. Mandayam, Ivan Seskar, Arnold Glass, Neha Sinha:
Prospect Pricing in Cognitive Radio Networks. IEEE Trans. Cogn. Commun. Netw. 1(1): 56-70 (2015) - [i3]Yingxiang Yang, Jalal Etesami, Negar Kiyavash:
Efficient Neighborhood Selection for Gaussian Graphical Models. CoRR abs/1509.06449 (2015) - [i2]Yingxiang Yang, Leonard T. Park, Narayan B. Mandayam, Ivan Seskar, Arnold Glass, Neha Sinha:
Prospect Pricing in Cognitive Radio Networks. CoRR abs/1510.00781 (2015) - 2014
- [j1]Yingxiang Yang, Bo Bai, Wei Chen, Lajos Hanzo:
A Low-Complexity Cross-Layer Algorithm for Coordinated Downlink Scheduling and Robust Beamforming Under a Limited Feedback Constraint. IEEE Trans. Veh. Technol. 63(1): 107-118 (2014) - [c4]Yingxiang Yang, Narayan B. Mandayam:
Impact of end-user decisions on pricing in wireless networks under a multiple-user-single-provider setting. Allerton 2014: 206-212 - [c3]Yingxiang Yang, Narayan B. Mandayam:
Impact of end-user decisions on pricing in wireless networks. CISS 2014: 1-6 - [i1]Yingxiang Yang, Carlos Herrera, Nathan Eagle, Marta C. González:
Limits of Predictability in Commuting Flows in the Absence of Data for Calibration. CoRR abs/1407.6256 (2014) - 2013
- [c2]Shan Jiang, Gaston A. Fiore, Yingxiang Yang, Joseph Ferreira Jr., Emilio Frazzoli, Marta C. González:
A review of urban computing for mobile phone traces: current methods, challenges and opportunities. UrbComp@KDD 2013: 2:1-2:9 - 2011
- [c1]Yingxiang Yang, Qun Pan, Yuehong Gao, Xin Zhang:
An Approach to Reduce Overhead under the VLQ Transmission Scheme for Cooperative Spectrum Sensing in Cognitive Radio. VTC Fall 2011: 1-5
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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