Liu, Tianyu

31 publications

ICLR 2025 A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

NeurIPS 2025 CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

ICML 2025 Language Models over Canonical Byte-Pair Encodings Tim Vieira, Tianyu Liu, Clemente Pasti, Yahya Emara, Brian Dusell, Benjamin Lebrun, Mario Giulianelli, Juan Luis Gastaldi, Timothy J. O’Donnell, Ryan Cotterell

ICLRW 2025 ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code Xiangru Tang, Yuliang Liu, Zefan Cai, Daniel Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Chen Sheng, Haozhe Zhao, Liang Chen, Tianyu Liu, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Zhiwei Jiang, Baobao Chang, Arman Cohan, Mark Gerstein

NeurIPS 2025 Multi-SWE-Bench: A Multilingual Benchmark for Issue Resolving Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Shulin Xin, Linhao Zhang, Qi Liu, Aoyan Li, Lu Chen, Xiaojian Zhong, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, Rui Long, Ming Ding, Liang Xiang

ICLR 2025 Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

ICLR 2025 PEARL: Parallel Speculative Decoding with Adaptive Draft Length Tianyu Liu, Yun Li, Qitan Lv, Kai Liu, Jianchen Zhu, Winston Hu, Xiao Sun

ICML 2025 Scalable Generation of Spatial Transcriptomics from Histology Images via Whole-Slide Flow Matching Tinglin Huang, Tianyu Liu, Mehrtash Babadi, Wengong Jin, Zhitao Ying

ICML 2025 Slimming the Fat-Tail: Morphing-Flow for Adaptive Time Series Modeling Tianyu Liu, Kai Sun, Fuchun Sun, Yu Luo, Yuanlong Zhang

NeurIPS 2025 SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, 许明, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Cheng Chengtuo, Tianhao Cheng, Keyi Ding, Siming Huang, Huang Yun, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Z.Y. Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, 王晨清, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Owen Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, ChenghuaZhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

ICLR 2025 Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell

ICLR 2025 TorchTitan: One-Stop PyTorch Native Solution for Production Ready LLM Pretraining Wanchao Liang, Tianyu Liu, Less Wright, Will Constable, Andrew Gu, Chien-Chin Huang, Iris Zhang, Wei Feng, Howard Huang, Junjie Wang, Sanket Purandare, Gokul Nadathur, Stratos Idreos

CVPR 2025 VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu

NeurIPS 2024 A Benchmark for Prediction of Transcriptomic Responses to Chemical Perturbations Across Cell Types Artur Szałata, Andrew Benz, Robrecht Cannoodt, Mauricio Cortes, Jason Fong, Sunil Kuppasani, Richard Lieberman, Tianyu Liu, Javier A. Mas-Rosario, Rico Meinl, Jalil Nourisa, Jared Tumiel, Tin M. Tunjic, Mengbo Wang, Noah Weber, Hongyu Zhao, Benedict Anchang, Fabian J. Theis, Malte D. Luecken, Daniel B. Burkhardt

ECCV 2024 An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

NeurIPSW 2024 Learning Multi-Cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Lee Diamant, Missarova Alsu, Minsheng Hao, Hanchen, Hector Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg

CVPRW 2024 MvAV-pix2pixHD: Multi-View Aerial View Image Translation Jun Yu, Keda Lu, Shenshen Du, Lin Xu, Peng Chang, Houde Liu, Bin Lan, Tianyu Liu

ECCV 2024 Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu

NeurIPS 2024 Semi-Supervised Knowledge Transfer Across Multi-Omic Single-Cell Data Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao

ICCV 2023 INT2: Interactive Trajectory Prediction at Intersections Zhijie Yan, Pengfei Li, Zheng Fu, Shaocong Xu, Yongliang Shi, Xiaoxue Chen, Yuhang Zheng, Yang Li, Tianyu Liu, Chuxuan Li, Nairui Luo, Xu Gao, Yilun Chen, Zuoxu Wang, Yifeng Shi, Pengfei Huang, Zhengxiao Han, Jirui Yuan, Jiangtao Gong, Guyue Zhou, Hang Zhao, Hao Zhao

NeurIPS 2023 Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen

NeurIPS 2023 MuSe-GNN: Learning Unified Gene Representation from Multimodal Biological Graph Data Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao

NeurIPSW 2023 Towards End-to-End Embodied Decision Making with Multi-Modal Large Language Model: Explorations with GPT4-Vision and Beyond Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Tianyu Liu, Baobao Chang

CVPR 2022 Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Xiaoxue Chen, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang

IJCAI 2022 Robust Fine-Tuning via Perturbation and Interpolation from In-Batch Instances Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui

AAAI 2021 Towards Faithfulness in Open Domain Table-to-Text Generation from an Entity-Centric View Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

AAAI 2019 Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui

IJCAI 2019 Playing Card-Based RTS Games with Deep Reinforcement Learning Tianyu Liu, Zijie Zheng, Hongchang Li, Kaigui Bian, Lingyang Song

IJCAI 2018 Learning to Explain Ambiguous Headlines of Online News Tianyu Liu, Wei Wei, Xiaojun Wan

AAAI 2018 Order-Planning Neural Text Generation from Structured Data Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui

AAAI 2018 Table-to-Text Generation by Structure-Aware Seq2seq Learning Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui