Microsoft Research Asia – Singapore - Microsoft Research: Publications

Microsoft Research Asia – Singapore

Publications

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- Multi-Turn On-Policy Distillation with Prefix Replay
  
  Baohao Liao, Hanze Dong, C. Monz, Xinxing Xu, Li Dong, Furu Wei
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Fractured Chain-of-Thought Reasoning
  
  Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, C. Monz, Junnan Li, Caiming Xiong
  
  2026 COLM | June 2026
  
  Publication
- Beyond representational alignment with brain-guided language models for robust reasoning
  
  Mingqing Xiao, Kai Du, Zhouchen Lin
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
  
  Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li
  
  ICML 2026 | April 2026
  
  Preprint Publication
- LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
  
  Linyang He, Qiyao Yu, Hanze Dong, Baohao Liao, Xinxing Xu, Micah Goldblum, Jiang Bian, N. Mesgarani
  
  2026 COLM | April 2026
  
  Publication
- Adaptive Time Series Reasoning via Segment Selection
  
  Shvat Messica, Jiawen Zhang, Kevin Li, Theodoros Tsiligkaridis, M. Zitnik
  
  February 2026
  
  arXiv | February 2026
  
  Publication Publication
- Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
  
  Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
  
  2025 COLM | December 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
  
  Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
  
  ICLR 2026 | October 2025
  
  DOI Publication
- PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains
  
  Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
  
  May 2025
  
  arXiv | May 2025
  
  Publication Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?
  
  Zhenwei Zhang, Jiawen Zhang, Shun Zheng, Yuantao Gu, Jiang Bian
  
  ICLR 2025 FM-Wild Workshop | March 2025
  
  Publication
- Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
  
  Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li
  
  March 2025
  
  arXiv | March 2025
  
  Publication Publication

- Multi-Turn On-Policy Distillation with Prefix Replay
  
  Baohao Liao, Hanze Dong, C. Monz, Xinxing Xu, Li Dong, Furu Wei
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Fractured Chain-of-Thought Reasoning
  
  Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, C. Monz, Junnan Li, Caiming Xiong
  
  2026 COLM | June 2026
  
  Publication
- Beyond representational alignment with brain-guided language models for robust reasoning
  
  Mingqing Xiao, Kai Du, Zhouchen Lin
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
  
  Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li
  
  ICML 2026 | April 2026
  
  Preprint Publication
- LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
  
  Linyang He, Qiyao Yu, Hanze Dong, Baohao Liao, Xinxing Xu, Micah Goldblum, Jiang Bian, N. Mesgarani
  
  2026 COLM | April 2026
  
  Publication
- Adaptive Time Series Reasoning via Segment Selection
  
  Shvat Messica, Jiawen Zhang, Kevin Li, Theodoros Tsiligkaridis, M. Zitnik
  
  February 2026
  
  arXiv | February 2026
  
  Publication Publication
- Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
  
  Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
  
  2025 COLM | December 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
  
  Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
  
  ICLR 2026 | October 2025
  
  DOI Publication
- PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains
  
  Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
  
  May 2025
  
  arXiv | May 2025
  
  Publication Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?
  
  Zhenwei Zhang, Jiawen Zhang, Shun Zheng, Yuantao Gu, Jiang Bian
  
  ICLR 2025 FM-Wild Workshop | March 2025
  
  Publication
- Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
  
  Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li
  
  March 2025
  
  arXiv | March 2025
  
  Publication Publication
- Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
  
  Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li
  
  ICML 2026 | April 2026
  
  Preprint Publication

- Fractured Chain-of-Thought Reasoning
  
  Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, C. Monz, Junnan Li, Caiming Xiong
  
  2026 COLM | June 2026
  
  Publication
- Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
  
  Mingqing Xiao, Yansen Wang, Dongqi Han, Caihua Shan, Dongsheng Li
  
  ICML 2026 | April 2026
  
  Preprint Publication
- LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches
  
  Linyang He, Qiyao Yu, Hanze Dong, Baohao Liao, Xinxing Xu, Micah Goldblum, Jiang Bian, N. Mesgarani
  
  2026 COLM | April 2026
  
  Publication
- Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives
  
  Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
  
  2025 COLM | December 2025
  
  Publication
- Language Ranker: A Lightweight Ranking framework for LLM Decoding
  
  Chenheng Zhang, Tianqi Du, Jizhe Zhang, Mingqing Xiao, Yifei Wang, Yisen Wang, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
  
  Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi
  
  ICLR 2026 | October 2025
  
  DOI Publication
- PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks
  
  Pengyun Yue, Xuanlin Yang, Mingqing Xiao, Zhouchen Lin
  
  NeurIPS 2025 | October 2025
  
  Publication
- Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
  
  Jiarui Yao, Yifan Hao, Hanning Zhang, Hanze Dong, Wei Xiong, Nan Jiang, Tong Zhang
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?
  
  Zhenwei Zhang, Jiawen Zhang, Shun Zheng, Yuantao Gu, Jiang Bian
  
  ICLR 2025 FM-Wild Workshop | March 2025
  
  Publication
- Multi-Turn On-Policy Distillation with Prefix Replay
  
  Baohao Liao, Hanze Dong, C. Monz, Xinxing Xu, Li Dong, Furu Wei
  
  July 2026
  
  arXiv | July 2026
  
  Publication
- Beyond representational alignment with brain-guided language models for robust reasoning
  
  Mingqing Xiao, Kai Du, Zhouchen Lin
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Adaptive Time Series Reasoning via Segment Selection
  
  Shvat Messica, Jiawen Zhang, Kevin Li, Theodoros Tsiligkaridis, M. Zitnik
  
  February 2026
  
  arXiv | February 2026
  
  Publication Publication
- Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains
  
  Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
  
  May 2025
  
  arXiv | May 2025
  
  Publication Publication
- Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting
  
  Xiaobin Hong, Jiawen Zhang, Wenzhong Li, Sanglu Lu, Jia Li
  
  March 2025
  
  arXiv | March 2025
  
  Publication Publication

Microsoft Research Asia – Singapore

Publications

Multi-Turn On-Policy Distillation with Prefix Replay

Fractured Chain-of-Thought Reasoning

Beyond representational alignment with brain-guided language models for robust reasoning

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Adaptive Time Series Reasoning via Segment Selection

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

Language Ranker: A Lightweight Ranking framework for LLM Decoding

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting

Multi-Turn On-Policy Distillation with Prefix Replay

Fractured Chain-of-Thought Reasoning

Beyond representational alignment with brain-guided language models for robust reasoning

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Adaptive Time Series Reasoning via Segment Selection

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

Language Ranker: A Lightweight Ranking framework for LLM Decoding

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

Fractured Chain-of-Thought Reasoning

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency

LiveMathematicianBench: A Live Benchmark for Mathematician-Level Reasoning with Proof Sketches

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives

Language Ranker: A Lightweight Ranking framework for LLM Decoding

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

PseuZO: Pseudo-Zeroth-Order Algorithm for Training Deep Neural Networks

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL

Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models?

Multi-Turn On-Policy Distillation with Prefix Replay

Beyond representational alignment with brain-guided language models for robust reasoning

Adaptive Time Series Reasoning via Segment Selection

Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting