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Jian Tang

Human Pose Transfer with Disentangled Feature Consistency

Jul 23, 2021
Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding

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* 11 pages, 5 figures

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Unsupervised Path Representation Learning with Curriculum Negative Sampling

Jun 17, 2021
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang

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* This paper has been accepted by IJCAI-21

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Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Jun 16, 2021
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang

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Self-supervised Graph-level Representation Learning with Local and Global Structure

Jun 08, 2021
Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang

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* Accepted as Short Talk at International Conference on Machine Learning (ICML), 2021

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Learning Gradient Fields for Molecular Conformation Generation

Jun 07, 2021
Chence Shi, Shitong Luo, Minkai Xu, Jian Tang

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* ICML 2021, Long talk

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An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming

Jun 02, 2021
Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang

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* Accepted by ICML 2021

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Learning Neural Generative Dynamics for Molecular Conformation Generation

Feb 28, 2021
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

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* Accepted by ICLR 2021

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Towards Generalized Implementation of Wasserstein Distance in GANs

Jan 12, 2021
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

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* Accepted by AAAI 2021

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Non-autoregressive electron flow generation for reaction prediction

Dec 16, 2020
Hangrui Bi, Hengyi Wang, Chence Shi, Jian Tang

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Sobolev Wasserstein GAN

Dec 07, 2020
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

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* Accepted by AAAI 2021

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Fast Object Detection with Latticed Multi-Scale Feature Fusion

Nov 05, 2020
Yue Shi, Bo Jiang, Zhengping Che, Jian Tang

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* The first two authors contributed equally to this work

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$P^2$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation

Oct 26, 2020
Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He

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* Accepted by ICPR2020. arXiv admin note: text overlap with arXiv:2003.07516

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XLVIN: eXecuted Latent Value Iteration Nets

Oct 25, 2020
Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić

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* NeurIPS 2020 Deep Reinforcement Learning Workshop

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Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

Oct 16, 2020
Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye

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RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

Oct 08, 2020
Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang

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Graph neural induction of value iteration

Sep 26, 2020
Andreea Deac, Pierre-Luc Bacon, Jian Tang

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* ICML GRL+ 2020

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Differentiable Feature Aggregation Search for Knowledge Distillation

Aug 02, 2020
Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang

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* A feature distillation method via differentiable architecture search

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GRADE: Graph Dynamic Embedding

Jul 16, 2020
Simeon Spasov, Alessandro Di Stefano, Pietro Lio, Jian Tang

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