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2020 – today
- 2025
[c12]Yi Zhan, Longjie Cui, Han Weng, Guifeng Wang, Yu Tian, Boyi Liu, Yingxiang Yang, Xiaoming Yin, Jiajun Xie, Yang Sun:
Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness. COLING 2025: 4586-4610- 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 - [i11]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) - [i10]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) - [i9]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) - [i8]Shenao Zhang, Zhihan Liu, Boyi Liu, Yufeng Zhang, Yingxiang Yang, Yongfei Liu, Liyu Chen, Tao Sun, Zhaoran Wang:
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs. CoRR abs/2410.08067 (2024) - [i7]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:
FullStack Bench: Evaluating LLMs as Full Stack Coders. CoRR abs/2412.00535 (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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