Yingxiang Yang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Cognitive Radio

Top Venues

IEEE Trans. Veh. Technol.

Publications

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 (2024)
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)
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 (2024)
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 (2024)
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 (2023)
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 (2023)
Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang
Fourier Learning with Cyclical Data. ICML (2022)
Yingxiang Yang, Negar Kiyavash, Le Song, Niao He
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS (2020)
Yingxiang Yang, Haoxiang Wang, Negar Kiyavash, Niao He
Learning Positive Functions with Pseudo Mirror Descent. NeurIPS (2019)
Yingxiang Yang, Bo Dai, Negar Kiyavash, Niao He
Predictive Approximate Bayesian Computation via Saddle Points. NeurIPS (2018)
Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR (2018)
Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash
Online Learning for Multivariate Hawkes Processes. NIPS (2017)
Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González
Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. AAAI (2016)
Yingxiang Yang, Jalal Etesami, Negar Kiyavash
Efficient Neighborhood Selection for Gaussian Graphical Models. CoRR (2015)
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) (2015)
Yingxiang Yang, Leonard T. Park, Narayan B. Mandayam, Ivan Seskar, Arnold Glass, Neha Sinha
Prospect Pricing in Cognitive Radio Networks. CoRR (2015)
Yingxiang Yang, Narayan B. Mandayam
Impact of end-user decisions on pricing in wireless networks. CISS (2014)
Yingxiang Yang, Narayan B. Mandayam
Impact of end-user decisions on pricing in wireless networks under a multiple-user-single-provider setting. Allerton (2014)
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) (2014)
Yingxiang Yang, Carlos Herrera, Nathan Eagle, Marta C. González
Limits of Predictability in Commuting Flows in the Absence of Data for Calibration. CoRR (2014)
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)
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)