Zihe Liu - RankMe

37 papers A* 1A 4B 2C 1Journal 21Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoTour: Automatic Photo Tour Guide with Smartphones and LLMs. CoRR Huatao Xu, Zihe Liu, Zilin Zeng, Baichuan Li, Mo Li
2026	J	`jnl`	Long-Term Air Quality Data Filling Based on Contrastive Learning. Inf. Zihe Liu, Keyong Hu, Jingxuan Zhang, Xingchen Ren, Xi Wang
2026	J	`jnl`	Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs. CoRR Zakaria Baba, Alexandre M. Bayen, Alexi Canesse, Maria Laura Delle Monache, Martin Drieux, Zhe Fu, Nathan Lichtlé, Zihe Liu, Hossein Nick Zinat Matin, Benedetto Piccoli
2025	J	`jnl`	A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition. CoRR Xinkui Zhao, Jinsong Shu, Yangyang Wu, Guanjie Cheng, Zihe Liu, Naibo Wang, Shuiguang Deng, Zhongle Xie, Jianwei Yin
2025	—	`conf`	A Tutorial on Neural Network-Based Solvers for Hyperbolic Conservation Laws: Supervised vs. Unsupervised Learning, and Applications to Traffic Modeling. NeuS Alexi Canesse, Zhe Fu, Nathan Lichtlé, Hossein Nick Zinat Matin, Zihe Liu, Maria Laura Delle Monache, Alexandre M. Bayen
2025	J	`jnl`	Learning Latent and Changing Dynamics in Real Non-Stationary Environments. IEEE Trans. Knowl. Data Eng. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2025	—	`conf`	Multi-Stage LLM Fine-Tuning with a Continual Learning Setting. NAACL (Findings) Changhao Guan, Chao Huang, Hongliang Li, You Li, Ning Cheng, Zihe Liu, Yufeng Chen, Jinan Xu, Jian Liu
2025	J	`jnl`	Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. CoRR Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng
2025	J	`jnl`	Part II: ROLL Flash - Accelerating RLVR and Agentic Training with Asynchrony. CoRR Han Lu, Zichen Liu, Shaopan Xiong, Yancheng He, Wei Gao, Yanan Wu, Weixun Wang, Jiashun Liu, Yang Li, Haizhou Zhao, Ju Huang, Siran Yang, Xiaoyang Li, Yijia Luo, Zihe Liu, Ling Pan, Junchi Yan, Wei Wang, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng
2025	J	`jnl`	Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng
2025	J	`jnl`	Research on low-loss and high-efficiency picking sequence planning of safflower-filaments based on improved deep reinforcement learning. Comput. Electron. Agric. Xiaorong Wang, Zhou Jianping, Xu Yan, Zihe Liu
2025	A	`conf`	SMA-TENG Actuator with Tactile Sensing Capability. IROS Yiping Zhang, Zihe Liu, Xi Xu, Jiaqi Jin, Boan Yang, Li Wen, Ziyu Ren
2024	A*	`conf`	A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. IJCAI Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024	J	`jnl`	A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points. CoRR Zihe Liu, Jie Lu, Guangquan Zhang, Junyu Xuan
2024	J	`jnl`	Deep Reinforcement Learning in Nonstationary Environments With Unknown Change Points. IEEE Trans. Cybern. Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang
2024	J	`jnl`	Efficient Model Compression for Bayesian Neural Networks. CoRR Diptarka Saha, Zihe Liu, Feng Liang
2024	A	`conf`	Functional Wasserstein Variational Policy Optimization. UAI Junyu Xuan, Mengjing Wu, Zihe Liu, Jie Lu
2024	J	`jnl`	Location of safflower filaments picking points in complex environment based on improved Yolov5 algorithm. Comput. Electron. Agric. Xiaorong Wang, Jianping Zhou, Yan Xu, Chao Cui, Zihe Liu, Jinrong Chen
2024	J	`jnl`	NGD converges to less degenerate solutions than SGD. CoRR Moosa Saghir, N. R. Raghavendra, Zihe Liu, Evan Ryan Gunter
2024	J	`jnl`	Textualized Agent-Style Reasoning for Complex Tasks by Multiple Round LLM Generation. CoRR Chen Liang, Zhifan Feng, Zihe Liu, Wenbin Jiang, Jinan Xu, Yufeng Chen, Yong Wang
2024	—	`conf`	Towards Multi-Relational Multi-Hop Reasoning over Dense Temporal Knowledge Graphs. ACL (Findings) Jian Liu, Zihe Liu, Xueqiang Lyu, Peng Jin, Jinan Xu
2023	J	`jnl`	Self-supervised group meiosis contrastive learning for EEG-based emotion recognition. Appl. Intell. Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Heqian Wang, Haiyan Zhou
2022	J	`jnl`	A Multimodal Approach for Multiple-Relation Extraction in Videos. Multim. Tools Appl. Zihe Liu, Weiying Hou, Jiayi Zhang, Chenyu Cao, Bin Wu
2022	J	`jnl`	Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition. CoRR Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Haiyan Zhou
2021	C	`conf`	CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation. ADMA Xuming Han, Qi Qin, Yuwei Wang, Yihang Zhang, Hanlin Li, Zihe Liu
2021	A	`conf`	Dual-Waveform Emotion Recognition Model for Conversations. ICME Jiayi Zhang, Zihe Liu, Peihang Liu, Bin Wu
2021	—	`conf`	Frame Aggregation and Multi-modal Fusion Framework for Video-Based Person Recognition. MMM (1) Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu
2021	—	`conf`	Recognizing Characters and Relationships from Videos via Spatial-Temporal and Multimodal Cues. ICBK Chenyu Cao, Chenghao Yan, Fangtao Li, Zihe Liu, Zheng Wang, Bin Wu
2021	B	`conf`	Relation-aware Hierarchical Attention Framework for Video Question Answering. ICMR Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu
2021	J	`jnl`	Relation-aware Hierarchical Attention Framework for Video Question Answering. CoRR Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu
2021	B	`conf`	Social Relation Analysis from Videos via Multi-entity Reasoning. ICMR Chenghao Yan, Zihe Liu, Fangtao Li, Chenyu Cao, Zheng Wang, Bin Wu
2020	J	`jnl`	Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition. CoRR Fangtao Li, Wenzhe Wang, Zihe Liu, Haoran Wang, Chenghao Yan, Bin Wu
2020	—	`conf`	Multi-Cue and Temporal Attention for Person Recognition in Videos. PRCV (2) Wenzhe Wang, Bin Wu, Fangtao Li, Zihe Liu
2019	A	`conf`	Generating commit messages from diffs using pointer-generator network. MSR Qin Liu, Zihe Liu, Hongming Zhu, Hongfei Fan, Bowen Du, Yu Qian
2018	—	`conf`	A Registration and Change Detection Algorithm Based on Pre-and Post-Strike Image. ISCID (2) Zihe Liu, Yuhui Wang
2018	—	`conf`	VisuaLife: A Campaign Aiming to Visualise Air Pollution in the Form of T-shirts Displayed in an Exhibition. CHI Extended Abstracts Jack Solomon, Lorenzo Bellucci, Yunsheng Su, Zihe Liu, Mihaela Dimitrova
2017	J	`jnl`	Review on cyber-physical systems. IEEE CAA J. Autom. Sinica Yang Liu, Yu Peng, Bailing Wang, Sirui Yao, Zihe Liu