Li Lyna Zhang - RankMe

44 papers A* 12A 3Misc 4Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization. CoRR Yuanye Liu, Jiahang Xu, Li Lyna Zhang, Qi Chen, Xuan Feng, Yang Chen, Zhongxin Guo, Yuqing Yang, Peng Cheng
2025	A*	`conf`	LongRoPE2: Near-Lossless LLM Context Window Scaling. ICML Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
2025	J	`jnl`	LongRoPE2: Near-Lossless LLM Context Window Scaling. CoRR Ning Shang, Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
2025	J	`jnl`	LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts. CoRR Siyuan Wang, Gaokai Zhang, Li Lyna Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
2025	A*	`conf`	Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver. ICLR Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang
2025	J	`jnl`	Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. CoRR 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
2025	J	`jnl`	rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset. CoRR Yifei Liu, Li Lyna Zhang, Yi Zhu, Bingcheng Dong, Xudong Zhou, Ning Shang, Fan Yang, Mao Yang
2025	A*	`conf`	rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. ICML Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
2025	J	`jnl`	rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. CoRR Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
2025	J	`jnl`	rStar2-Agent: Agentic Reasoning Technical Report. CoRR 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
2024	A*	`conf`	Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. EMNLP Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang
2024	Misc	`conf`	LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. NSDI Chengquan Feng, Li Lyna Zhang, Yuanchi Liu, Jiahang Xu, Chengruidong Zhang, Zhiyuan Wang, Ting Cao, Mao Yang, Haisheng Tan
2024	A*	`conf`	LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. ICML Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang
2024	J	`jnl`	LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. CoRR Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, Yuanyuan Xu, Ning Shang, Jiahang Xu, Fan Yang, Mao Yang
2024	J	`jnl`	Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers. CoRR Zhenting Qi, Mingyuan Ma, Jiahang Xu, Li Lyna Zhang, Fan Yang, Mao Yang
2024	A*	`conf`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2024	J	`jnl`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2023	A	`conf`	Accurate and Structured Pruning for Efficient Automatic Speech Recognition. INTERSPEECH Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
2023	J	`jnl`	Accurate and Structured Pruning for Efficient Automatic Speech Recognition. CoRR Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
2023	J	`jnl`	Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. CoRR Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Mao Yang
2023	J	`jnl`	Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models. CoRR Song Guo, Jiahang Xu, Li Lyna Zhang, Mao Yang
2023	A*	`conf`	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. KDD 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
2023	J	`jnl`	Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. CoRR 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
2023	A*	`conf`	ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
2023	J	`jnl`	ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang
2023	A*	`conf`	LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. MobiCom Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
2023	J	`jnl`	LUT-NN: Towards Unified Neural Network Inference by Table Lookup. CoRR Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
2023	Misc	`conf`	On Modular Learning of Distributed Systems for Predicting End-to-End Latency. NSDI Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
2023	A*	`conf`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. ICCV Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2023	J	`jnl`	SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. CoRR Li Lyna Zhang, Xudong Wang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang
2022	A	`conf`	SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
2022	J	`jnl`	SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
2022	Misc	`conf`	Towards efficient vision transformer inference: a first study of transformers on mobile devices. HotMobile Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
2021	J	`jnl`	AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
2021	A*	`conf`	Boosting Mobile CNN Inference through Semantic Memory. ACM Multimedia Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
2021	J	`jnl`	Boosting Mobile CNN Inference through Semantic Memory. CoRR Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
2021	—	`conf`	To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks. MLSys Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
2021	J	`jnl`	nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices. GetMobile Mob. Comput. Commun. Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yunxin Liu
2021	A	`conf`	nn-Meter: towards accurate latency prediction of deep-learning model inference on diverse edge devices. MobiSys Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
2020	—	`conf`	Fast Hardware-Aware Neural Architecture Search. CVPR Workshops Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
2019	J	`jnl`	Hardware-aware One-Shot Neural Architecture Search in Coordinate Ascent Framework. CoRR Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
2018	J	`jnl`	Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis. IEEE Trans. Mob. Comput. Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao, Enhong Chen
2017	A*	`conf`	Systematically testing background services of mobile apps. ASE Li Lyna Zhang, Chieh-Jan Mike Liang, Yunxin Liu, Enhong Chen
2017	Misc	`conf`	Towards A Contextual and Scalable Automated-testing Service for Mobile Apps. HotMobile Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen