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Liheng Ma

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

11

Venues

6

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

11 indexed papers, newest first.

YearVenueTitleAuthors
2026WWWVeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering.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
2025ICMLSKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting.Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates
2024AISTATSMulti-resolution Time-Series Transformer for Long-term Forecasting.Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2024ICMLCKGConv: General Graph Convolution with Continuous Kernels.Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2023ICMLGraph Inductive Biases in Transformers without Message Passing.Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip H. S. Torr, Ser-Nam Lim
2021AAAIKnowledge-Enhanced Top-K Recommendation in Poincar Ball.Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates
2021AISTATSDetection and Defense of Topological Adversarial Attacks on Graphs.Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
2021ICMLRNN with Particle Flow for Probabilistic Spatio-temporal Forecasting.Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2021PAKDDGraph Attention Networks with Positional Embeddings.Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano
2020AAAIMemory Augmented Graph Neural Networks for Sequential Recommendation.Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates
2020KDDProbabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates