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Tong Xie
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2020 – today
- 2025
[j4]Tong Xie
, Zizhuo Wang
:
Personalized Pricing and Assortment Optimization Under Consumer Choice Models with Local Network Effects. Oper. Res. 73(3): 1289-1306 (2025)
[c8]Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. DAC 2025: 1-7
[c7]Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou:
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. ICLR 2025
[c6]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. NAACL (Long Papers) 2025: 7315-7337
[i19]Yujie Liu, Zonglin Yang, Tong Xie, Jinjie Ni, Ben Gao, Yuqiang Li, Shixiang Tang, Wanli Ouyang, Erik Cambria, Dongzhan Zhou:
ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition. CoRR abs/2503.21248 (2025)
[i18]Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li:
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. CoRR abs/2503.24053 (2025)
[i17]Zonglin Yang, Wanhao Liu, Ben Gao, Yujie Liu, Wei Li, Tong Xie, Lidong Bing, Wanli Ouyang, Erik Cambria, Dongzhan Zhou:
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search. CoRR abs/2505.19209 (2025)
[i16]Mengsong Wu, YaFei Wang, Yidong Ming, Yuqi An, Yuwei Wan, Wenliang Chen, Binbin Lin, Yuqiang Li, Tong Xie, Dongzhan Zhou:
CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning. CoRR abs/2506.07551 (2025)
[i15]Sha Zhang, Suorong Yang, Tong Xie, Xiangyuan Xue, Zixuan Hu, Rui Li, Wenxi Qu, Zhenfei Yin, Tianfan Fu, Di Hu, Andres M. Bran, Nian Ran, Bram Hoex, Wangmeng Zuo, Philippe Schwaller, Wanli Ouyang, Lei Bai, Yanyong Zhang, Lingyu Duan, Shixiang Tang, Dongzhan Zhou:
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI. CoRR abs/2506.19613 (2025)
[i14]Zerui Yang, Yuwei Wan, Siyu Yan, Yudai Matsuda, Tong Xie, Bram Hoex, Linqi Song:
DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search. CoRR abs/2507.07426 (2025)
[i13]Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, Meng Li:
SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding. CoRR abs/2509.19873 (2025)- 2024
[j3]Tong Xie
, Yuwei Wan
, Haoran Wang, Ina Østrøm
, Shaozhou Wang
, Mingrui He, Rong Deng
, Xinyuan Wu
, Clara Grazian
, Chunyu Kit
, Bram Hoex
:
Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials. J. Chem. Inf. Model. 64(7): 2746-2759 (2024)
[j2]Tong Xie
, Yuwei Wan
, Yufei Zhou
, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit
, Clara Grazian
, Wenjie Zhang, Bram Hoex
:
Creation of a structured solar cell material dataset and performance prediction using large language models. Patterns 5(5): 100955 (2024)
[j1]Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. Trans. Mach. Learn. Res. 2024 (2024)
[c5]Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang:
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. DATE 2024: 1-6
[c4]Boyuan Zhang, Shuyuan Zhu, Tong Xie, Xibang Yang, Yahui Liu, Bing Zeng:
Filamentary Convolution for Spoken Language Identification: A Brain-Inspired Approach. ICASSP 2024: 9926-9930
[c3]Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit
, Wenjie Zhang, Bram Hoex:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. ICDM (Workshops) 2024: 907-911
[c2]Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofen Wang, Tong Xie, Wenjie Zhang:
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. NeurIPS 2024
[i12]Tong Xie, Haoyu Li, Andrew Bai, Cho-Jui Hsieh:
Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation. CoRR abs/2401.09031 (2024)
[i11]Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang:
ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer. CoRR abs/2402.12820 (2024)
[i10]Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Tong Xie, Wenjie Zhang:
Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. CoRR abs/2404.03080 (2024)
[i9]Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex
, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster:
SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation. CoRR abs/2405.09939 (2024)
[i8]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li
, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. CoRR abs/2410.02884 (2024)
[i7]Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou:
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. CoRR abs/2410.07076 (2024)
[i6]Yuwei Wan, Tong Xie, Nan Wu, Wenjie Zhang, Chunyu Kit, Bram Hoex:
From Tokens to Materials: Leveraging Language Models for Scientific Discovery. CoRR abs/2410.16165 (2024)
[i5]Tong Xie, Hanzhi Zhang, Shaozhou Wang, Yuwei Wan, Imran Razzak, Chunyu Kit, Wenjie Zhang, Bram Hoex:
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity. CoRR abs/2411.12000 (2024)
[i4]Derek Xu, Tong Xie, Botao Xia, Haoyu Li, Yunsheng Bai, Yizhou Sun, Wei Wang:
Does Few-Shot Learning Help LLM Performance in Code Synthesis? CoRR abs/2412.02906 (2024)- 2023
[i3]Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex
:
Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT. CoRR abs/2304.02213 (2023)
[i2]Tong Xie, Yuwei Wan, Wei Huang, Zhenyu Yin, Yixuan Liu, Shaozhou Wang, Qingyuan Linghu, Chunyu Kit, Clara Grazian, Wenjie Zhang, Imran Razzak, Bram Hoex
:
DARWIN Series: Domain Specific Large Language Models for Natural Science. CoRR abs/2308.13565 (2023)- 2022
[c1]Tong Xie, Zizhuo Wang:
Personalized Assortment Optimization Under Consumer Choice Models with Local Network Effects. WINE 2022: 374
[i1]Tong Xie
, Yuwei Wan, Weijian Li, Qingyuan Linghu, Shaozhou Wang
, Yalun Cai, Han Liu, Chunyu Kit, Clara Grazian, Bram Hoex
:
Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks. CoRR abs/2212.02805 (2022)
Coauthor Index

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last updated on 2025-10-29 01:45 CET by the dblp team
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