Liheng Ma - RankMe

40 papers A* 8A 2Journal 29Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Quantization Error Propagation in Encoder-Decoder ASR Quantization. CoRR Xinyu Wang, Yajie Luo, Yihong Wu, Liheng Ma, Ziyu Zhao, Jingrui Tian, Lei Ding, Yufei Cui, Xiao-Wen Chang
2026	J	`jnl`	Enhancing TableQA through Verifiable Reasoning Trace Reward. CoRR Tung Sum Thomas Kwok, Xinyu Wang, Hengzhi He, Xiaofeng Lin, Peng Lu, Liheng Ma, Chunhe Wang, Ying Nian Wu, Lei Ding, Guang Cheng
2026	J	`jnl`	TrasMuon: Trust-Region Adaptive Scaling for Orthogonalized Momentum Optimizers. CoRR Peng Cheng, Jiucheng Zang, Qingnan Li, Liheng Ma, Yufei Cui, Yingxue Zhang, Boxing Chen, Ming Jian, Wen Tong
2026	A*	`conf`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. WWW Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang
2025	J	`jnl`	An Entity Linking Agent for Question Answering. CoRR Yajie Luo, Yihong Wu, Muzhi Li, Fengran Mo, Jia Ao Sun, Xinyu Wang, Liheng Ma, Yingxue Zhang, Jian-Yun Nie
2025	J	`jnl`	From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents. CoRR Muzhi Li, Jinhu Qi, Yihong Wu, Minghao Zhao, Liheng Ma, Yifan Li, Xinyu Wang, Yingxue Zhang, Ho-fung Leung, Irwin King
2025	J	`jnl`	GraphPPD: Posterior Predictive Modelling for Graph-Level Inference. CoRR Soumyasundar Pal, Liheng Ma, Amine Natik, Yingxue Zhang, Mark Coates
2025	J	`jnl`	It Takes Two: Your GRPO Is Secretly DPO. CoRR Yihong Wu, Liheng Ma, Lei Ding, Muzhi Li, Xinyu Wang, Kejia Chen, Zhan Su, Zhanguang Zhang, Chenyang Huang, Yingxue Zhang, Mark Coates, Jian-Yun Nie
2025	J	`jnl`	Omni-Thinker: Scaling Cross-Domain Generalization in LLMs via Multi-Task RL with Hybrid Rewards. CoRR Derek Li, Jiaming Zhou, Amirreza Kazemi, Qianyi Sun, Abbas Ghaddar, Mohammad Ali Alomrani, Liheng Ma, Yu Luo, Dong Li, Feng Wen, Jianye Hao, Mark Coates, Yingxue Zhang
2025	J	`jnl`	Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization. CoRR Yihong Wu, Liheng Ma, Muzhi Li, Jiaming Zhou, Jianye Hao, Ho-fung Leung, Irwin King, Yingxue Zhang, Jian-Yun Nie
2025	A*	`conf`	SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. ICML Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025	J	`jnl`	SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting. CoRR Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2025	J	`jnl`	Simplifying Graph Transformers. CoRR Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Philip H. S. Torr, Mark Coates
2025	J	`jnl`	Sparse Decomposition of Graph Neural Networks. Trans. Mach. Learn. Res. Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates
2025	J	`jnl`	VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering. CoRR Zhenghan Tai, Hanwei Wu, Qingchen Hu, Jijun Chi, Hailin He, Lei Ding, Tung Sum Thomas Kwok, Bohuai Xiao, Yuchen Hua, Suyuchen Wang, Peng Lu, Muzhi Li, Yihong Wu, Liheng Ma, Jerry Huang, Jiayi Zhang, Gonghao Zhang, Chaolong Jiang, Jingrui Tian, Sicheng Lyu, Zeyu Li, Boyu Han, Fengran Mo, Xinyue Yu, Yufei Cui, Ling Zhou, Xinyu Wang
2024	J	`jnl`	Attitude Correlated Frames Based Calibration Method for Star Sensors. Sensors Liheng Ma, Shenglong Xiao, Wenjun Tang, Xiao Luo, Su Zhang
2024	A*	`conf`	CKGConv: General Graph Convolution with Continuous Kernels. ICML Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	J	`jnl`	CKGConv: General Graph Convolution with Continuous Kernels. CoRR Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. CoRR Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao
2024	A	`conf`	Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Revealing Decurve Flows for Generalized Graph Propagation. CoRR Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr
2024	J	`jnl`	Sparse Decomposition of Graph Neural Networks. CoRR Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2023	A*	`conf`	Graph Inductive Biases in Transformers without Message Passing. ICML Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023	J	`jnl`	Graph Inductive Biases in Transformers without Message Passing. CoRR Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2023	J	`jnl`	Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2021	A	`conf`	Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
2021	—	`conf`	Graph Attention Networks with Positional Embeddings. PAKDD (1) Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
2021	J	`jnl`	Graph Attention Networks with Positional Embeddings. CoRR Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
2021	A*	`conf`	Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. AAAI Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
2021	J	`jnl`	Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
2021	J	`jnl`	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2021	A*	`conf`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2021	J	`jnl`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2020	J	`jnl`	A new approach to solve opinion dynamics on complex networks. Expert Syst. Appl. Wenting Wang, Yu-Lin He, Joshua Zhexue Huang, Liheng Ma
2020	A*	`conf`	Memory Augmented Graph Neural Networks for Sequential Recommendation. AAAI Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
2020	A*	`conf`	Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. KDD Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2020	J	`jnl`	Soft Tissue Mass of Extremity: Investigation of MRI Diagnostic Strategy. J. Medical Imaging Health Informatics Yuying Liang, Liheng Ma, Ning Yang, Weifeng Hong, Zhen Wu
2019	J	`jnl`	Latent Feature Group Learning for High-Dimensional Data Clustering. Inf. Wenting Wang, Yulin He, Liheng Ma, Joshua Zhexue Huang
2019	J	`jnl`	Memory Augmented Graph Neural Networks for Sequential Recommendation. CoRR Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates