Liu, Zihan

18 publications

NeurIPS 2025 AceReason-Nemotron: Advancing Math and Code Reasoning Through Reinforcement Learning Yang Chen, Zhuolin Yang, Zihan Liu, Chankyu Lee, Peng Xu, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping

NeurIPS 2025 Activation Control for Efficiently Eliciting Long Chain-of-Thought Ability of Language Models Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang

ICLR 2025 ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro

NeurIPS 2025 ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo

ICML 2025 SongGen: A Single Stage Auto-Regressive Transformer for Text-to-Song Generation Zihan Liu, Shuangrui Ding, Zhixiong Zhang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang

NeurIPS 2025 Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng

IJCAI 2024 An NCDE-Based Framework for Universal Representation Learning of Time Series Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun

NeurIPS 2024 ChatQA: Surpassing GPT-4 on Conversational QA and RAG Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro

AAAI 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

NeurIPS 2024 RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

ICLR 2024 Retrieval Meets Long Context Large Language Models Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro

ECML-PKDD 2023 Learning to Augment Graph Structure for Both Homophily and Heterophily Graphs Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li

ECCV 2022 AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li

NeurIPS 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li

AAAI 2021 CrossNER: Evaluating Cross-Domain Named Entity Recognition Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung

AAAI 2021 On the Importance of Word Order Information in Cross-Lingual Sequence Labeling Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung

AAAI 2020 Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung

AAAI 2020 CAiRE: An End-to-End Empathetic Chatbot Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung