An Approach to Reduce Overhead under the VLQ Transmission Scheme for Cooperative Spectrum Sensing in Cognitive Radio. - Yingxiang Yang; Qun Pan 002; Yuehong Gao; Xin Zhang 001 (VTC Fall, 2011)

A review of urban computing for mobile phone traces: current methods, challenges and opportunities. - Shan Jiang 004; Gaston A. Fiore; Yingxiang Yang; Joseph Ferreira Jr.; Emilio Frazzoli; Marta C. González (UrbComp@KDD, 2013)

Impact of end-user decisions on pricing in wireless networks under a multiple-user-single-provider setting. - Yingxiang Yang; Narayan B. Mandayam (Allerton, 2014)

Impact of end-user decisions on pricing in wireless networks. - Yingxiang Yang; Narayan B. Mandayam (CISS, 2014)

Limits of Predictability in Commuting Flows in the Absence of Data for Calibration. - Yingxiang Yang; Carlos Herrera; Nathan Eagle; Marta C. González (CoRR, 2014)

A Low-Complexity Cross-Layer Algorithm for Coordinated Downlink Scheduling and Robust Beamforming Under a Limited Feedback Constraint. - Yingxiang Yang; Bo Bai 001; Wei Chen 002; Lajos Hanzo (IEEE Trans. Veh. Technol., 2014)

Efficient Neighborhood Selection for Gaussian Graphical Models. - Yingxiang Yang; Jalal Etesami; Negar Kiyavash (CoRR, 2015)

Prospect Pricing in Cognitive Radio Networks. - Yingxiang Yang; Leonard T. Park; Narayan B. Mandayam; Ivan Seskar; Arnold Glass; Neha Sinha (IEEE Trans. Cogn. Commun. Netw., 2015)

Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. - Yingxiang Yang; Peter Widhalm; Shounak Athavale; Marta C. González (AAAI, 2016)

Online Learning for Multivariate Hawkes Processes. - Yingxiang Yang; Jalal Etesami; Niao He; Negar Kiyavash (NIPS, 2017)

Predictive Approximate Bayesian Computation via Saddle Points. - Yingxiang Yang; Bo Dai 001; Negar Kiyavash; Niao He (NeurIPS, 2018)

Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. - Yingxiang Yang; Adams Wei Yu; Zhaoran Wang 001; Tuo Zhao (CoRR, 2018)

Learning Positive Functions with Pseudo Mirror Descent. - Yingxiang Yang; Haoxiang Wang; Negar Kiyavash; Niao He (NeurIPS, 2019)

The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. - Yingxiang Yang; Negar Kiyavash; Le Song; Niao He (NeurIPS, 2020)

Efficient learning of temporal dynamics with first-order methods - Yingxiang Yang (2020)

Fourier Learning with Cyclical Data. - Yingxiang Yang; Zhihan Xiong; Tianyi Liu; Taiqing Wang; Chong Wang (ICML, 2022)

Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. - Xiaohui Chen; Yongfei Liu; Yingxiang Yang; Jianbo Yuan; Quanzeng You; Li-Ping Liu 001; Hongxia Yang (CoRR, 2023)

Let Models Speak Ciphers: Multiagent Debate through Embeddings. - Chau Pham 001; Boyi Liu 001; Yingxiang Yang; Zhengyu Chen 001; Tianyi Liu; Jianbo Yuan; Bryan A. Plummer; Zhaoran Wang 001; Hongxia Yang (ICLR, 2024)

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. - Zhihan Liu; Miao Lu; Shenao Zhang; Boyi Liu 001; Hongyi Guo; Yingxiang Yang; Jose H. Blanchet; Zhaoran Wang 001 (NeurIPS, 2024)

How Can LLM Guide RL? A Value-Based Approach. - Shenao Zhang; Sirui Zheng; Shuqi Ke; Zhihan Liu; Wanxin Jin; Jianbo Yuan; Yingxiang Yang; Hongxia Yang; Zhaoran Wang 001 (CoRR, 2024)

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. - Yufeng Zhang; Liyu Chen; Boyi Liu; Yingxiang Yang; Qiwen Cui; Yunzhe Tao; Hongxia Yang (CoRR, 2024)

Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. - Shenao Zhang; Zhihan Liu; Boyi Liu 001; Yufeng Zhang 007; Yingxiang Yang; Yongfei Liu; Liyu Chen; Tao Sun; Zhaoran Wang 001 (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness. - Yi Zhan; Longjie Cui; Han Weng; Guifeng Wang; Yu Tian; Boyi Liu; Yingxiang Yang; Xiaoming Yin; Jiajun Xie; Yang Sun (COLING, 2025)

Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. - Han Weng; Boyi Liu; Yuanfeng Song; Dun Zeng; Yingxiang Yang; Yi Zhan; Longjie Cui; Xiaoming Yin; Yang Sun (CoRR, 2025)