Hua, Zhigang

5 publications

TMLR 2026 Causal Decoding for Hallucination-Resistant Multimodal Large Language Models Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang

AAAI 2025 A Scalable and Effective Alternative to Graph Transformers Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek

ICLR 2025 Learning Graph Quantized Tokenizers Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

ICLR 2024 VCR-Graphormer: A Mini-Batch Graph Transformer via Virtual Connections Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long

NeurIPS 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang