Yingxiang Yang

30 papers A* 8B 1Misc 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. EMNLP (Findings) Han Weng, Puzhen Wu, Longjie Cui, Yi Zhan, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Qianru Zhang, Dong Huang, Xiaoming Yin, Yang Sun, Xing Chen
2025	J	`jnl`	Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. CoRR Han Weng, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Yi Zhan, Longjie Cui, Xiaoming Yin, Yang Sun
2025	A*	`conf`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. ICML Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2025	B	`conf`	Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness. COLING Yi Zhan, Longjie Cui, Han Weng, Guifeng Wang, Yu Tian, Boyi Liu, Yingxiang Yang, Xiaoming Yin, Jiajun Xie, Yang Sun
2024	J	`jnl`	(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
2024	J	`jnl`	FullStack Bench: Evaluating LLMs as Full Stack Coders. CoRR Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu
2024	J	`jnl`	How Can LLM Guide RL? A Value-Based Approach. CoRR Shenao Zhang, Sirui Zheng, Shuqi Ke, Zhihan Liu, Wanxin Jin, Jianbo Yuan, Yingxiang Yang, Hongxia Yang, Zhaoran Wang
2024	A*	`conf`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024	A*	`conf`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. NeurIPS Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	J	`jnl`	Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. CoRR Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose H. Blanchet, Zhaoran Wang
2024	J	`jnl`	Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang
2023	J	`jnl`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2023	J	`jnl`	Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis. CoRR Xiaohui Chen, Yongfei Liu, Yingxiang Yang, Jianbo Yuan, Quanzeng You, Li-Ping Liu, Hongxia Yang
2022	A*	`conf`	Fourier Learning with Cyclical Data. ICML Yingxiang Yang, Zhihan Xiong, Tianyi Liu, Taiqing Wang, Chong Wang
2020	—	`—`	Efficient learning of temporal dynamics with first-order methods Yingxiang Yang
2020	A*	`conf`	The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models. NeurIPS Yingxiang Yang, Negar Kiyavash, Le Song, Niao He
2019	A*	`conf`	Learning Positive Functions with Pseudo Mirror Descent. NeurIPS Yingxiang Yang, Haoxiang Wang, Negar Kiyavash, Niao He
2018	J	`jnl`	Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models. CoRR Yingxiang Yang, Adams Wei Yu, Zhaoran Wang, Tuo Zhao
2018	A*	`conf`	Predictive Approximate Bayesian Computation via Saddle Points. NeurIPS Yingxiang Yang, Bo Dai, Negar Kiyavash, Niao He
2017	—	`conf`	Online Learning for Multivariate Hawkes Processes. NIPS Yingxiang Yang, Jalal Etesami, Niao He, Negar Kiyavash
2016	A*	`conf`	Mobility Sequence Extraction and Labeling Using Sparse Cell Phone Data. AAAI Yingxiang Yang, Peter Widhalm, Shounak Athavale, Marta C. González
2015	J	`jnl`	Efficient Neighborhood Selection for Gaussian Graphical Models. CoRR Yingxiang Yang, Jalal Etesami, Negar Kiyavash
2015	J	`jnl`	Prospect Pricing in Cognitive Radio Networks. CoRR Yingxiang Yang, Leonard T. Park, Narayan B. Mandayam, Ivan Seskar, Arnold Glass, Neha Sinha
2015	J	`jnl`	Prospect Pricing in Cognitive Radio Networks. IEEE Trans. Cogn. Commun. Netw. Yingxiang Yang, Leonard T. Park, Narayan B. Mandayam, Ivan Seskar, Arnold Glass, Neha Sinha
2014	J	`jnl`	A Low-Complexity Cross-Layer Algorithm for Coordinated Downlink Scheduling and Robust Beamforming Under a Limited Feedback Constraint. IEEE Trans. Veh. Technol. Yingxiang Yang, Bo Bai, Wei Chen, Lajos Hanzo
2014	—	`conf`	Impact of end-user decisions on pricing in wireless networks under a multiple-user-single-provider setting. Allerton Yingxiang Yang, Narayan B. Mandayam
2014	Misc	`conf`	Impact of end-user decisions on pricing in wireless networks. CISS Yingxiang Yang, Narayan B. Mandayam
2014	J	`jnl`	Limits of Predictability in Commuting Flows in the Absence of Data for Calibration. CoRR Yingxiang Yang, Carlos Herrera, Nathan Eagle, Marta C. González
2013	—	`conf`	A review of urban computing for mobile phone traces: current methods, challenges and opportunities. UrbComp@KDD Shan Jiang, Gaston A. Fiore, Yingxiang Yang, Joseph Ferreira Jr., Emilio Frazzoli, Marta C. González
2011	—	`conf`	An Approach to Reduce Overhead under the VLQ Transmission Scheme for Cooperative Spectrum Sensing in Cognitive Radio. VTC Fall Yingxiang Yang, Qun Pan, Yuehong Gao, Xin Zhang