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ORCIDLi Lyna Zhang
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2020 – today
- 2025
[c22]Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang:
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver. ICLR 2025- [c21]Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang:
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. ICML 2025 - [c20]Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang:
LongRoPE2: Near-Lossless LLM Context Window Scaling. ICML 2025 - [c19]Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Cheng Li, Mao Yang:
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset. NeurIPS 2025 - [i21]Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang:
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. CoRR abs/2501.04519 (2025) - [i20]Yuanye Liu, Jiahang Xu, Li Lyna Zhang, Qi Chen, Xuan Feng, Yang Chen, Zhongxin Guo, Yuqing Yang, Peng Cheng:
Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization. CoRR abs/2502.04295 (2025) - [i19]Ning Shang, Li Lyna Zhang, Siyuan Wang
, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang:
LongRoPE2: Near-Lossless LLM Context Window Scaling. CoRR abs/2502.20082 (2025) - [i18]Abdelrahman Abouelenin, Atabak Ashfaq, Adam Atkinson, Hany Awadalla, Nguyen Bach, Jianmin Bao, Alon Benhaim, Martin Cai, Vishrav Chaudhary, Congcong Chen, Dong Chen, Dongdong Chen, Jun-Kun Chen, Weizhu Chen, Yen-Chun Chen, Yi-ling Chen, Qi Dai, Xiyang Dai, Ruchao Fan, Mei Gao, Min Gao, Amit Garg, Abhishek Goswami, Junheng Hao, Amr Hendy, Yuxuan Hu, Xin Jin, Mahmoud Khademi, Dongwoo Kim, Young Jin Kim, Gina Lee, Jinyu Li, Yunsheng Li, Chen Liang, Xihui Lin, Zeqi Lin, Mengchen Liu, Yang Liu, Gilsinia Lopez, Chong Luo, Piyush Madan, Vadim Mazalov, Arindam Mitra, Ali Mousavi, Anh Nguyen, Jing Pan, Daniel Perez-Becker, Jacob Platin, Thomas Portet, Kai Qiu, Bo Ren, Liliang Ren, Sambuddha Roy, Ning Shang, Yelong Shen, Saksham Singhal, Subhojit Som, Xia Song, Tetyana Sych, Praneetha Vaddamanu, Shuohang Wang, Yiming Wang, Zhenghao Wang, Haibin Wu, Haoran Xu, Weijian Xu, Yifan Yang, Ziyi Yang, Donghan Yu, Ishmam Zabir, Jianwen Zhang, Li Lyna Zhang, Yunan Zhang, Xiren Zhou:
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. CoRR abs/2503.01743 (2025) - [i17]Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang:
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset. CoRR abs/2505.21297 (2025) - [i16]Ning Shang, Yifei Liu, Yi Zhu, Li Lyna Zhang, Weijiang Xu, Xinyu Guan, Buze Zhang, Bingcheng Dong, Xudong Zhou, Bowen Zhang, Ying Xin, Ziming Miao, Scarlett Li, Fan Yang, Mao Yang:
rStar2-Agent: Agentic Reasoning Technical Report. CoRR abs/2508.20722 (2025) - [i15]Siyuan Wang, Gaokai Zhang, Li Lyna Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang:
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts. CoRR abs/2510.19363 (2025) - 2024
- [c18]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP 2024: 8181-8196 - [c17]Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang:
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. EMNLP 2024: 13674-13695 - [c16]Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang:
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. ICML 2024: 11091-11104 - [c15]Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan:
LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. NSDI 2024 - [i14]Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang:
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. CoRR abs/2402.13753 (2024) - [i13]Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang:
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers. CoRR abs/2408.06195 (2024) - [i12]Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang:
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR abs/2409.17066 (2024) - 2023
- [c14]Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV 2023: 5796-5805 - [c13]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV 2023: 5806-5817 - [c12]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH 2023: 4104-4108 - [c11]Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. KDD 2023: 1280-1290 - [c10]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom 2023: 70:1-70:15 - [c9]Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou:
On Modular Learning of Distributed Systems for Predicting End-to-End Latency. NSDI 2023: 1081-1095 - [i11]Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang:
LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR abs/2302.03213 (2023) - [i10]Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang:
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR abs/2303.08308 (2023) - [i9]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR abs/2303.09730 (2023) - [i8]Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu:
Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR abs/2305.19549 (2023) - [i7]Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang:
Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. CoRR abs/2306.14393 (2023) - [i6]Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang:
Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models. CoRR abs/2310.05015 (2023) - [i5]Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang:
Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. CoRR abs/2312.08901 (2023) - 2022
- [c8]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM 2022: 3654-3663 - [c7]Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang:
Towards efficient vision transformer inference: a first study of transformers on mobile devices. HotMobile 2022: 1-7 - [i4]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR abs/2209.00625 (2022) - 2021
- [j2]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu:
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. 25(4): 19-23 (2021) - [c6]Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu:
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. MLSys 2021 - [c5]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. ACM Multimedia 2021: 2362-2371 - [c4]Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu:
nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys 2021: 81-93 - [i3]Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang:
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR abs/2108.03001 (2021) - [i2]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. CoRR abs/2112.02644 (2021) - 2020
- [c3]Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Fast Hardware-Aware Neural Architecture Search. CVPR Workshops 2020: 2959-2967
2010 – 2019
- 2019
- [i1]Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu:
Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework. CoRR abs/1910.11609 (2019) - 2018
- [j1]Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen:
Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. IEEE Trans. Mob. Comput. 17(2): 279-292 (2018) - 2017
- [c2]Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen:
Systematically testing background services of mobile apps. ASE 2017: 4-15 - [c1]Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen:
Towards A Contextual and Scalable Automated-testing Service for Mobile Apps. HotMobile 2017: 97-102
Coauthor Index
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last updated on 2026-07-30 23:17 CEST by the dblp team
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