Publications

Please check my Google Scholar or Semantic Scholar page for the full publication list including preprints.

The notations for equal contributions are omitted.

Machine Learning, Knowledge Representation, and Reasoning

2024

  1. ICLR
    Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors
    Hang Yin, Zihao Wang, and Yangqiu Song
    In The Twelfth International Conference on Learning Representations (ICLR 2024), 2024
    arXiv Code
  2. SIGIR
    Optimal Transport Enhanced Cross-City Site Recommendation
    Xinhang Li, Xiangyu Zhao, Zihao Wang, Yang Duan, Yong Zhang, and Chunxiao Xing
    In The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024
  3. ACL
    Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
    Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, and Yangqiu Song
    In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), 2024
  4. KDD
    Privacy-Preserving Neural Graph Databases
    Qi Hu, Haoran Li, Jiaxin Bai, Zihao Wang, and Yangqiu Song
    In 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024
  5. TMLR
    SEAL: Simultaneous Label Hierarchy Exploration And Learning
    Zhiquan Tan, Zihao Wang, and Yifan Zhang
    Transaction of Machine Learning Research, 2024

2023

  1. ICLR
    Logical Message Passing Networks with One-hop Inference on Atomic Formulas
    Zihao Wang, Yangqiu Song, Ginny Y Wong, and Simon See
    In The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
    arXiv Code
  2. ACL
    Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
    Zihao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Y Wong, and Simon See
    In Findings of the Association for Computational Linguistics: ACL 2023, 2023
    arXiv Code
  3. ICML
    spred: Solving L1 Penalty with SGD
    Liu Ziyin, and Zihao Wang
    In Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023
    arXiv Code
  4. NeurIPS
    Towards out-of-distribution generalizable predictions of chemical kinetics properties
    Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, and Hanghang Tong
    In NeurIPS 2023 Workshop on AI for Science: from Theory to Practice, 2023
    arXiv Code

2022

  1. EMNLP
    A Neural-Symbolic Approach to Natural Language Understanding
    Zhixuan Liu, Zihao Wang, Yuan Lin, and Hang Li
    In Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
    arXiv Code
  2. NAACL
    Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
    Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song
    In Findings of the Association for Computational Linguistics: NAACL 2022, 2022
    arXiv Code
  3. NeurIPS
    Posterior Collapse of a Linear Latent Variable Model
    Zihao Wang, and Liu Ziyin
    In 36th Conference on Neural Information Processing Systems (NeurIPS 2022, Oral), 2022
    arXiv Code
  4. COLING
    Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics
    Zihao Wang, Jiaheng Dou, and Yong Zhang
    In Proceedings of the 29th International Conference on Computational Linguistics (COLING 2022), 2022
    arXiv Code
  5. CIKM
    Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation
    Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, and Xian Wu
    In Proceedings of the 31st ACM International Conference on Information \backslash& Knowledge Management, 2022
  6. EMNLP
    MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation
    Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, and Tong Zhang
    In Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
    arXiv Code
  7. DE Bulletin
    Logical Queries on Knowledge Graphs: Emerging Interface of Incomplete Relational Data
    Zihao Wang, Hang Yin, and Yangqiu Song
    Bulletin of the Technical Committee on Data Engineering, 2022

2021

  1. NeurIPS
    Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs
    Zihao Wang, Hang Yin, and Yangqiu Song
    In 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks., 2021
    arXiv Code

2020

  1. ACL
    A relaxed matching procedure for unsupervised BLI
    Xu Zhao, Zihao Wang, Hao Wu, and Yong Zhang
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), 2020
    arXiv Code
  2. EMNLP
    Semi-supervised bilingual lexicon induction with two-way interaction
    Xu Zhao, Zihao Wang, Hao Wu, and Yong Zhang
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), 2020
    arXiv Code
  3. ACML
    Robust document distance with wasserstein-fisher-rao metric
    Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Bao, and Hao Wu
    In Proceedings of The 12th Asian Conference on Machine Learning (ACML 2020), 2020
    arXiv Code

Other works in mathematical, medical, and physical sciences

2024

  1. Fast Sinkhorn II: Collinear triangular matrix and linear time accurate computation of optimal transport
    Qichen Liao, Zihao Wang, Jing Chen, Bo Bai, Shi Jin, and Hao Wu
    Journal of Scientific Computing, 2024
  2. Fast Gradient Computation for Gromov-Wasserstein Distance
    Wei Zhang, Zihao Wang, Jie Fan, Hao Wu, and Yong Zhang
    Jounral of Machine Learning, 2024
    arXiv

2023

  1. The Double Regularization Method for Capacity Constrained Optimal Transport
    Tianhao Wu, Qihao Cheng, Zihao Wang, Chaorui Zhang, Bo Bai, Zhongyi Huang, and Hao Wu
    CSIAM Transactions on Applied Mathematics, 2023
  2. Automatic analysis of lateral cephalograms based on high-resolution net
    Qiao Chang, Zihao Wang, Fan Wang, Jiaheng Dou, Yong Zhang, and Yuxing Bai
    American Journal of Orthodontics and Dentofacial Orthopedics, 2023
  3. HiTSP: Towards a Hierarchical Neural Framework for Large-scale Traveling Salesman Problems
    Jian-Feng Liu, Zihao Wang, Wei Zhang, Chao-Rui Zhang, Jian-Feng Hou, Bo Bai, and Gong Zhang
    Journal of the Operations Research Society of China, 2023

2022

  1. Fast Sinkhorn I: An O (N) algorithm for the Wasserstein-1 metric
    Qichen Liao, Jing Chen, Zihao Wang, Bo Bai, Shi Jin, and Hao Wu
    Communications in Mathematical Sciences, 2022

2017

  1. In situ laser diagnostics of nanoparticle transport across stagnation plane in a counterflow flame
    Yiyang Zhang, Zihao Wang, Xinxin Wu, Libin Sun, Zhengming Zhang, Huiting Zhang, and Shuiqing Li
    Journal of Aerosol Science, 2017

Preprints

2024

  1. Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens
    Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, and Cen Chen
    arXiv preprint arXiv:2402.15758, 2024
  2. Soft Reasoning on Uncertain Knowledge Graphs
    Weizhi Fei, Zihao Wang, Hang Yin, Yang Duan, Hanghang Tong, and Yangqiu Song
    arXiv preprint arXiv:2403.01508, 2024
  3. Meta Operator for Complex Query Answering on Knowledge Graphs
    Hang Yin, Zihao Wang, and Yangqiu Song
    arXiv preprint arXiv:2403.10110, 2024

2023

  1. $EFO_k$-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation
    Hang Yin, Zihao Wang, Weizhi Fei, and Yangqiu Song
    arXiv preprint arXiv:2307.13701, 2023
  2. Distributed Matrix Multiplication with a Smaller Recovery Threshold through Modulo-based Approaches
    Zhiquan Tan, Dingli Yuan, Zihao Wang, and Zhongyi Huang
    arXiv preprint arXiv:2309.10249, 2023
  3. On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts
    Qineng Wang, Zihao Wang, Ying Su, and Yangqiu Song
    arXiv preprint arXiv:2311.07076, 2023

2020

  1. Volumization as a Natural Generalization of Weight Decay
    Liu Ziyin, Zihao Wang, Makoto Yamada, and Masahito Ueda
    arXiv preprint arXiv:2003.11243, 2020
  2. An investigation of how label smoothing affects generalization
    Blair Chen, Liu Ziyin, Zihao Wang, and Paul Pu Liang
    arXiv preprint arXiv:2010.12648, 2020

Earlier works

2021

  1. TC-MIMONet: A Learning-based Transceiver for MIMO Systems with Temporal Correlations
    Chunhui Chen, Zihao Wang, Yuyi Mao, Hao Wu, Bo Bai, and Gong Zhang
    In 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021
  2. Autoencoder-based MIMO Communications with Learnable ADCs
    Wenhao Ye, Boxiang Ren, Zihao Wang, Huihui Wu, Hao Wu, Bo Bai, and Gong Zhang
    In 2021 IEEE 21st International Conference on Communication Technology (ICCT), 2021

2020

  1. Instance explainable multi-instance learning for roi of various data
    Xu Zhao, Zihao Wang, Yong Zhang, and Chunxiao Xing
    In International Conference on Database Systems for Advanced Applications (DASFAA 2020), 2020

2019

  1. Reducing wrong labels for distant supervision relation extraction with selective capsule network
    Zihao Wang, Yong Zhang, and Chunxiao Xing
    In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2019

2018

  1. Modeling patient visit using electronic medical records for cost profile estimation
    Kangzhi Zhao, Yong Zhang, Zihao Wang, Hongzhi Yin, Xiaofang Zhou, Jin Wang, and Chunxiao Xing
    In Database Systems for Advanced Applications: 23rd International Conference (DASFAA 2018), 2018