Publications

Quantum(-Inspired)/Tensor-Network-Based Machine Learning

[Efficient LLM/Next-Generation NNs] Reinvent the Operation not the Architecture: Quantum-inspired High-order Product for Compatible and Improved LLMs Training. SIGKDD 2025 (CCF-A) Research Track
Hao Xiong*, Yebin Yang*, Huaijin Wu, Xiaoqiu Zhong, Yehui Tang, Zhuo Xia, Xiaoxing Wang, Junchi Yan.
[paper] [slides]

[Tensor Network] Tensor Network: from the Perspective of AI4Science and Science4AI. IJCAI 2025 (CCF-A) Survey Track
Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi.
[paper]

[Quantum Neural Networks] On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation. ICLR 2025 (Tsinghua-A) [paper]
Xinyu Ye, Hao Xiong, Jianhao Huang, Ziang Chen, Jia Wang, Junchi Yan.

[Quantum Computing] Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR 2024 (CCF-A) [code] [paper]
Hao Xiong*, Yehui Tang*, Xinyu Ye*, Junchi Yan.

[AI4Quantum] Q-TAPE: A Task-Agnostic Pre-Trained Approach for Quantum Properties Estimation. ICLR 2024 (Tsinghua-A) Spotlight (5%) [paper]
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan.

[Tensor/Quantum-inspired Network Embedding] Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR 2024 (Tsinghua-A) [code & data] [paper]
Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan.

Network Embedding

[Interpretability] Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. TKDE 2022 (CCF-A) [code & data] [paper] [a brief intro. (知乎)]
Hao Xiong, Junchi Yan, Zengfeng Huang.

[Multi-Graph Alignment] Contrastive Multi-View Multiplex Network Embedding with Applications to Robust Network Alignment. SIGKDD 2021 (CCF-A) [poster] [slides] [video] [paper] (sorry for missing code, the machine was formatted by accident without being backed up)
Hao Xiong, Junchi Yan, Li Pan.

[Cross-Graph Alignment] BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding. TKDE 2020 (CCF-A) [code & data] [paper]
Hao Xiong, Junchi Yan.

Neural Combinatorial Optimzation

[DL-Based Neural Solver] UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP. ICLR 2025 (Tsinghua-A) [paper] [code]
Wenzheng Pan*, Hao Xiong*, Jiale Ma, Wentao Zhao, Yang Li, Junchi Yan.

[ML-Enhanced Heuristic] From Graph Embedding to LKH: Bridging Learning and Heuristics for a Streamlined General TSP Solver. [paper]
Hao Xiong, Wenzheng Pan, Jianhao Huang, Zhuo Xia, Junchi Yan.

Knowledge Graph Embedding & System

[Knowledge Embedding] DGL-KE: Training Knowledge Graph Embeddings at Scale. SIGIR 2020 (CCF-A) [code] [paper]
Da Zheng, Xiang Song, Chao Ma, Zeyuan Tan, Zihao Ye, Jin Dong, Hao Xiong, Zheng Zhang, George Karypis.