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  1. Aug 5, 2022 · A Florida jury convicted Shi Jianxiang on two counts of fraud related to obtaining visas that he used to enter the U.S. Shi Jianxiang was linked to Hollywood movies and the collapse of a...

  2. Oct 29, 2021 · Miami, Florida – A 57-year-old Chinese businessman who is charged in a federal grand jury indictment with entering the United States using fraudulently-obtained visas will remain behind bars pending trial in Miami. Jianxiang Shi was arrested this week at a convention in Las Vegas, Nevada where he was promoting a cryptocurrency venture.

  3. Nov 3, 2021 · Shi Jianxiang, a high-profile fugitive wanted in China over a 43.4 billion yuan ($6.3 billion) illegal fundraising scheme, was charged with visa fraud in a court in Florida after being arrested in Las Vegas where he was promoting cryptocurrency.

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    • Tutorials
    • Preprints
    • 2023
    • 2022
    • 2021
    • 2020
    • 2019
    • 2018 and Before
    Jian Tang, Fei Wang, Feixiong Cheng. “Artificial Intelligence for Drug Discovery”. KDD’2021.
    Jian Tang, Fei Wang, Feixiong Cheng. “Artificial Intelligence for Drug Discovery”. AAAI’2021.
    William L. Hamilton and Jian Tang. “Graph Representation Learning”. Tutorial at the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI’19), Hawaii, USA, 2019.
    Jian Tang, Cheng Li and Qiaozhu Mei. “Learning representations of networks”. Tutorial at KDD’17.
    Andreea Deac, Pierre-Luc Bacon, Jian Tang. “Graph neural induction of value iteration.”, arXiv:2009.12604.
    Simeon Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang. “GRADE: Graph Dynamic Embedding.”, arXiv:2007.08060.
    Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjam...
    Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel Sellier, Yoshua Bengio. “Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures”, arXiv:1909.00949.
    Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang. Protein Sequence and Structure Co-Design with Equivariant Translation. ICLR 2023.
    Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang. Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR 2023.
    Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang. E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. ICLR 2023.
    Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang. Protein Representation Learning by Geometric Structure Pretraining. ICLR 2023.
    Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang. PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. NeurIPS Dat...
    Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang. Inductive Logical Query Answering in Knowledge Graphs. NeurIPS 2022.
    Chenqing Hua, Guillaume Rabusseau, Jian Tang. High-Order Pooling for Graph Neural Networks with Tensor Decomposition. NeurIPS 2022.
    Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang. Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS 2022.
    Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang. Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction, to appear at NeurIPS’21.
    Shitong Luo, Chence Shi, Minkai Xu, Jian Tang. Predicting Molecular Conformation via Dynamic Graph Score Matching, to appear at NeurIPS’21.
    Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang. Joint Modeling of Visual Objects and Relations for Scene Graph Generation, to appear at NeurIPS’21.
    Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic. Neural Algorithmic Reasoners are Implicit Planners, to appear at NeurIPS’21.
    Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang. “KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation”, TACL 2020.
    Yadi Zhou, Fei Wang, Jian Tang, Ruth Nussinov, Feixiong Cheng. “Artificial intelligence in COVID-19 drug repurposing.”, The Lancet Digital Health 2020.
    Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang. “Graph Policy Network for Transferable Active Learning on Graphs”, NeurIPS’2020
    Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L Hamilton. “Learning dynamic knowledg...
    Meng Qu, Jian Tang. “Probabilistic Logic Neural Networks for Reasoning”, to appear at the Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS‘19), Vancouver, Canada, De...
    Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang. “vGraph: A Generative Model for Joint Community Detection and Node Representation Learning”, to appear at the Thirty-third Annual C...
    Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang. “AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.” In the 28th ACM Internat...
    Meng Qu, Yoshua Bengio, and Jian Tang. “GMNN: Graph Markov Neural Networks”. To appear at the 36th International Conference on Machine Learning (ICML’19), Long Beach, California, United States. source
    Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, and Jie Tang. DeepInf: Modeling Influence Locality in Large Social Networks. In Proceedings of the Twenty-Fourth ACM SIGKDD International...
    Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, and Jaegul Choo. PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precisi...
    Quanyu Dai, Qiang Li, Jian Tang, and Dan Wang. Adversarial Network Embedding, In Proc. of 2018 AAAI Conf. on Artificial Intelligence (AAAI’18), New Orleans, LA, Feb. 2018
    Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, and Jian Tang. Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Event Prediction, in Proc. of 2018 AAAI Conf. on A...
  5. Dr. Jian Tang. I am currently an associate professor at Mila-Quebec AI Institute and HEC Montreal. Prior to that, I was a Postdoc at University of Michigan and Carnegie Mellon University. I also worked at Microsoft Research Asia as an associate researcher between 2014-2016.

  6. Sep 1, 2012 · Visible-Light-Promoted Phosphorylation/Cyclization of 1-Acryloyl-2-cyanoindoles in Green Solvent. The Journal of Organic Chemistry. 2022-11-04 | Journal article. DOI: 10.1021/acs.joc.2c01890. Contributors : An-Xiang Huang; Yi-Rui Fu; Hu-Lin Zhu; Fan-Lin Zeng; Xiao-Lan Chen; Shi Tang; Ling-Bo Qu; Bing Yu.

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