Jian Tang - RankMe

236 papers A* 77A 8C 1Misc 3Journal 137Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics. CoRR Liang Shi, Jiarui Lu, Junqi Liu, Chence Shi, Zhi Yang, Jian Tang
2026	J	`jnl`	GeneZip: Region-Aware Compression for Long Context DNA Modeling. CoRR Jianan Zhao, Xixian Liu, Zhihao Zhan, Xinyu Yuan, Hongyu Guo, Jian Tang
2026	J	`jnl`	PerturbDiff: Functional Diffusion for Single-Cell Perturbation Modeling. CoRR Xinyu Yuan, Xixian Liu, Ya Shi Zhang, Zuobai Zhang, Hongyu Guo, Jian Tang
2026	J	`jnl`	Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute. CoRR Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Küçükbenli, Arash Vahdat, Karsten Kreis
2025	J	`jnl`	A text-guided protein design framework. Nat. Mac. Intell. Shengchao Liu, Yanjing Li, Zhuoxinran Li, Anthony Gitter, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Arvind Ramanathan, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
2025	A*	`conf`	Aligning Protein Conformation Ensemble Generation with Physical Feedback. ICML Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
2025	J	`jnl`	Aligning Protein Conformation Ensemble Generation with Physical Feedback. CoRR Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
2025	J	`jnl`	FORT: Forward-Only Regression Training of Normalizing Flows. CoRR Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael M. Bronstein, Yoshua Bengio, Alexander Tong, Avishek Joey Bose
2025	A*	`conf`	Fully-inductive Node Classification on Arbitrary Graphs. ICLR Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang
2025	A*	`conf`	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. ICLR Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang
2025	J	`jnl`	Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models. CoRR Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
2025	J	`jnl`	Overcoming Long-Context Limitations of State-Space Models via Context-Dependent Sparse Attention. CoRR Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
2025	J	`jnl`	Self-Evolving Curriculum for LLM Reasoning. CoRR Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo
2025	A*	`conf`	Structure Language Models for Protein Conformation Generation. ICLR Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
2024	A*	`conf`	A Foundation Model for Zero-shot Logical Query Reasoning. NeurIPS Michael Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
2024	—	`conf`	AI for Science in the Era of Large Language Models. EMNLP (Tutorial Abstracts) Zhenyu Bi, Minghao Xu, Jian Tang, Xuan Wang
2024	J	`jnl`	Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks. CoRR Sitao Luan, Qincheng Lu, Chenqing Hua, Xinyu Wang, Jiaqi Zhu, Xiao-Wen Chang, Guy Wolf, Jian Tang
2024	A*	`conf`	Cell ontology guided transcriptome foundation model. NeurIPS Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024	J	`jnl`	Cell-ontology guided transcriptome foundation model. CoRR Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
2024	A*	`conf`	Evaluating Representation Learning on the Protein Structure Universe. ICLR Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell
2024	J	`jnl`	Evaluating representation learning on the protein structure universe. CoRR Arian R. Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell
2024	J	`jnl`	Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations. CoRR Jiarui Lu, Zuobai Zhang, Bozitao Zhong, Chence Shi, Jian Tang
2024	J	`jnl`	GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. CoRR Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang
2024	J	`jnl`	GraphAny: A Foundation Model for Node Classification on Any Graph. CoRR Jianan Zhao, Hesham Mostafa, Mikhail Galkin, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2024	J	`jnl`	Iterative Graph Self-Distillation. IEEE Trans. Knowl. Data Eng. Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
2024	A*	`conf`	Multi-Scale Representation Learning for Protein Fitness Prediction. NeurIPS Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang
2024	J	`jnl`	Multi-Scale Representation Learning for Protein Fitness Prediction. CoRR Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang
2024	—	`conf`	NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. SIGMOD Conference Companion Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang
2024	J	`jnl`	ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation. CoRR Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2024	J	`jnl`	Reaction-conditioned De Novo Enzyme Design with GENzyme. CoRR Chenqing Hua, Jiarui Lu, Yong Liu, Odin Zhang, Jian Tang, Rex Ying, Wengong Jin, Guy Wolf, Doina Precup, Shuangjia Zheng
2024	A*	`conf`	Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling. ICLR Jiarui Lu, Bozitao Zhong, Zuobai Zhang, Jian Tang
2024	J	`jnl`	Structure Language Models for Protein Conformation Generation. CoRR Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
2024	J	`jnl`	Structure-Informed Protein Language Model. CoRR Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2024	—	`conf`	The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2024	J	`jnl`	The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges. CoRR Sitao Luan, Chenqing Hua, Qincheng Lu, Liheng Ma, Lirong Wu, Xinyu Wang, Minkai Xu, Xiao-Wen Chang, Doina Precup, Rex Ying, Stan Z. Li, Jian Tang, Guy Wolf, Stefanie Jegelka
2024	A*	`conf`	Towards Foundation Models for Knowledge Graph Reasoning. ICLR Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
2024	A*	`conf`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2024	J	`jnl`	Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled. CoRR Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
2024	J	`jnl`	Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled. Trans. Mach. Learn. Res. Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
2024	J	`jnl`	Zero-shot Logical Query Reasoning on any Knowledge Graph. CoRR Mikhail Galkin, Jincheng Zhou, Bruno F. Ribeiro, Jian Tang, Zhaocheng Zhu
2023	A*	`conf`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. ICML Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang
2023	J	`jnl`	A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. CoRR Shengchao Liu, Weitao Du, Zhiming Ma, Hongyu Guo, Jian Tang
2023	J	`jnl`	A Text-guided Protein Design Framework. CoRR Shengchao Liu, Yutao Zhu, Jiarui Lu, Zhao Xu, Weili Nie, Anthony Gitter, Chaowei Xiao, Jian Tang, Hongyu Guo, Anima Anandkumar
2023	A*	`conf`	A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2023	A	`conf`	An Empirical Study of Retrieval-Enhanced Graph Neural Networks. ECAI Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu
2023	A*	`conf`	DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. NeurIPS Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang
2023	J	`jnl`	DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing. CoRR Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang
2023	A*	`conf`	E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. ICLR Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang
2023	J	`jnl`	Enhancing Protein Language Models with Structure-based Encoder and Pre-training. CoRR Zuobai Zhang, Minghao Xu, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2023	A*	`conf`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. NeurIPS Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
2023	J	`jnl`	Evolving Computation Graphs. CoRR Andreea Deac, Jian Tang
2023	A*	`conf`	Flaky Performances When Pretraining on Relational Databases (Student Abstract). AAAI Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël
2023	J	`jnl`	Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. IEEE Trans. Neural Networks Learn. Syst. Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu
2023	A*	`conf`	FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. ICML Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
2023	A*	`conf`	GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang
2023	J	`jnl`	GraphText: Graph Reasoning in Text Space. CoRR Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2023	J	`jnl`	GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow. CoRR Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang
2023	J	`jnl`	Large Language Models can Learn Rules. CoRR Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai
2023	A*	`conf`	Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023	A*	`conf`	Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. ICLR Shengchao Liu, Hongyu Guo, Jian Tang
2023	J	`jnl`	Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar
2023	J	`jnl`	PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design. CoRR Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang
2023	J	`jnl`	Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction. CoRR Zuobai Zhang, Minghao Xu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
2023	A*	`conf`	Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction. NeurIPS Zuobai Zhang, Minghao Xu, Aurélie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
2023	A*	`conf`	ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. ICML Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
2023	J	`jnl`	ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. CoRR Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
2023	A*	`conf`	Protein Representation Learning by Geometric Structure Pretraining. ICLR Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2023	A*	`conf`	Protein Sequence and Structure Co-Design with Equivariant Translation. ICLR Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
2023	J	`jnl`	Scientific discovery in the age of artificial intelligence. Nat. Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun K. Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
2023	J	`jnl`	Score-based Enhanced Sampling for Protein Molecular Dynamics. CoRR Jiarui Lu, Bozitao Zhong, Jian Tang
2023	A*	`conf`	Signed Laplacian Graph Neural Networks. AAAI Yu Li, Meng Qu, Jian Tang, Yi Chang
2023	A*	`conf`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. NeurIPS Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
2023	J	`jnl`	Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials. CoRR Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhiming Ma, Omar Yaghi, Anima Anandkumar, Christian Borgs, Jennifer T. Chayes, Hongyu Guo, Jian Tang
2023	J	`jnl`	Towards Foundation Models for Knowledge Graph Reasoning. CoRR Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
2023	J	`jnl`	Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
2022	J	`jnl`	Augmenting Message Passing by Retrieving Similar Graphs. CoRR Dingmin Wang, Shengchao Liu, Hanchen Wang, Linfeng Song, Jian Tang, Song Le, Bernardo Cuenca Grau, Qi Liu
2022	A*	`conf`	Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. NeurIPS Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022	J	`jnl`	Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure. CoRR Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
2022	J	`jnl`	E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. CoRR Yangtian Zhang, Huiyu Cai, Chence Shi, Bozitao Zhong, Jian Tang
2022	J	`jnl`	EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data. CoRR Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian
2022	J	`jnl`	Evaluating Self-Supervised Learning for Molecular Graph Embeddings. CoRR Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Matt J. Kusner, Joan Lasenby, Qi Liu
2022	J	`jnl`	Flaky Performances when Pretraining on Relational Databases. CoRR Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël
2022	J	`jnl`	GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang
2022	A*	`conf`	Generative Coarse-Graining of Molecular Conformations. ICML Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
2022	J	`jnl`	Generative Coarse-Graining of Molecular Conformations. CoRR Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
2022	A*	`conf`	GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. ICLR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022	J	`jnl`	GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation. CoRR Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
2022	J	`jnl`	HIRL: A General Framework for Hierarchical Image Representation Learning. CoRR Minghao Xu, Yuanfan Guo, Xuanyu Zhu, Jiawen Li, Zhenbang Sun, Jian Tang, Yi Xu, Bingbing Ni
2022	A*	`conf`	Inductive Logical Query Answering in Knowledge Graphs. NeurIPS Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
2022	J	`jnl`	Inductive Logical Query Answering in Knowledge Graphs. CoRR Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
2022	—	`conf`	Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
2022	J	`jnl`	Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2022	J	`jnl`	Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. CoRR Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
2022	J	`jnl`	Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree. CoRR Songtao Liu, Rex Ying, Zuobai Zhang, Peilin Zhao, Jian Tang, Lu Lin, Dinghao Wu
2022	J	`jnl`	Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. CoRR Shengchao Liu, Hongyu Guo, Jian Tang
2022	J	`jnl`	Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar
2022	A*	`conf`	Neural Structured Prediction for Inductive Node Classification. ICLR Meng Qu, Huiyu Cai, Jian Tang
2022	J	`jnl`	Neural Structured Prediction for Inductive Node Classification. CoRR Meng Qu, Huiyu Cai, Jian Tang
2022	A*	`conf`	Neural-Symbolic Models for Logical Queries on Knowledge Graphs. ICML Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
2022	J	`jnl`	Neural-Symbolic Models for Logical Queries on Knowledge Graphs. CoRR Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
2022	A*	`conf`	PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. NeurIPS Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang
2022	J	`jnl`	PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding. CoRR Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Chang Ma, Runcheng Liu, Jian Tang
2022	A*	`conf`	Pre-training Molecular Graph Representation with 3D Geometry. ICLR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2022	J	`jnl`	Protein Representation Learning by Geometric Structure Pretraining. CoRR Zuobai Zhang, Minghao Xu, Arian R. Jamasb, Vijil Chenthamarakshan, Aurélie C. Lozano, Payel Das, Jian Tang
2022	J	`jnl`	Protein Sequence and Structure Co-Design with Equivariant Translation. CoRR Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
2022	A	`conf`	Structured Multi-task Learning for Molecular Property Prediction. AISTATS Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	J	`jnl`	Structured Multi-task Learning for Molecular Property Prediction. CoRR Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
2022	—	`conf`	Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. ACL (1) Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen
2022	J	`jnl`	Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. CoRR Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen
2022	J	`jnl`	TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Jun-Kun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2022	J	`jnl`	Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang
2022	J	`jnl`	Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2022	A*	`conf`	Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2021	A*	`conf`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. ICML Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	J	`jnl`	An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. CoRR Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang
2021	A*	`conf`	Artificial Intelligence for Drug Discovery. KDD Jian Tang, Fei Wang, Feixiong Cheng
2021	A*	`conf`	GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2021	A*	`conf`	How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	J	`jnl`	How to transfer algorithmic reasoning knowledge to learn new algorithms? CoRR Louis-Pascal A. C. Xhonneux, Andreea Deac, Petar Velickovic, Jian Tang
2021	A*	`conf`	Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
2021	J	`jnl`	KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. Trans. Assoc. Comput. Linguistics Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, Jian Tang
2021	A*	`conf`	Learning Gradient Fields for Molecular Conformation Generation. ICML Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	J	`jnl`	Learning Gradient Fields for Molecular Conformation Generation. CoRR Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
2021	A*	`conf`	Learning Neural Generative Dynamics for Molecular Conformation Generation. ICLR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	J	`jnl`	Learning Neural Generative Dynamics for Molecular Conformation Generation. CoRR Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
2021	A*	`conf`	Neural Algorithmic Reasoners are Implicit Planners. NeurIPS Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	J	`jnl`	Neural Algorithmic Reasoners are Implicit Planners. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2021	A*	`conf`	Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. NeurIPS Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang
2021	J	`jnl`	Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction. CoRR Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, Jian Tang
2021	A*	`conf`	Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. ICML Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
2021	J	`jnl`	Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. CoRR Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo
2021	J	`jnl`	Pre-training Molecular Graph Representation with 3D Geometry. CoRR Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
2021	A*	`conf`	Predicting Infectiousness for Proactive Contact Tracing. ICLR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2021	A*	`conf`	Predicting Molecular Conformation via Dynamic Graph Score Matching. NeurIPS Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
2021	A*	`conf`	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. ICLR Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
2021	A*	`conf`	Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
2021	J	`jnl`	Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
2021	A*	`conf`	Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2021	J	`jnl`	Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2021	J	`jnl`	Utilizing graph machine learning within drug discovery and development. Briefings Bioinform. Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King
2020	A*	`conf`	A Graph to Graphs Framework for Retrosynthesis Prediction. ICML Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	J	`jnl`	A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
2020	J	`jnl`	COVI White Paper. CoRR 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, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu
2020	J	`jnl`	COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio
2020	A*	`conf`	Continuous Graph Neural Networks. ICML Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2020	Misc	`conf`	Deep Geometric Knowledge Distillation with Graphs. ICASSP Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2020	A*	`conf`	Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020	J	`jnl`	Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
2020	J	`jnl`	GRADE: Graph Dynamic Embedding. CoRR Simeon E. Spasov, Alessandro Di Stefano, Pietro Liò, Jian Tang
2020	A*	`conf`	Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020	J	`jnl`	Graph Policy Network for Transferable Active Learning on Graphs. CoRR Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020	J	`jnl`	Graph neural induction of value iteration. CoRR Andreea Deac, Pierre-Luc Bacon, Jian Tang
2020	A*	`conf`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020	J	`jnl`	GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
2020	A*	`conf`	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. ICLR Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang
2020	J	`jnl`	Iterative Graph Self-Distillation. CoRR Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing
2020	A*	`conf`	Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020	J	`jnl`	Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020	J	`jnl`	Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. CoRR Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Karam M. J. Thomas, Simon Blackburn, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
2020	A*	`conf`	Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. ICML Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
2020	J	`jnl`	Predicting Infectiousness for Proactive Contact Tracing. CoRR Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
2020	J	`jnl`	RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. CoRR Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
2020	J	`jnl`	Sobolev Wasserstein GAN. CoRR Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu
2020	A*	`conf`	Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
2020	J	`jnl`	Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
2020	J	`jnl`	Utilising Graph Machine Learning within Drug Discovery and Development. CoRR Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King
2020	J	`jnl`	XLVIN: eXecuted Latent Value Iteration Nets. CoRR Andreea Deac, Petar Velickovic, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
2019	J	`jnl`	Attending Over Triads for Learning Signed Network Embedding. Frontiers Big Data Shagun Sodhani, Meng Qu, Jian Tang
2019	A	`conf`	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
2019	J	`jnl`	Continuous Graph Neural Networks. CoRR Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
2019	J	`jnl`	Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. CoRR Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio
2019	J	`jnl`	Deep geometric knowledge distillation with graphs. CoRR Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	A*	`conf`	DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. SIGIR Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie
2019	J	`jnl`	DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. CoRR Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie
2019	J	`jnl`	Drug-Drug Adverse Effect Prediction with Graph Co-Attention. CoRR Andreea Deac, Yu-Hsiang Huang, Petar Velickovic, Pietro Liò, Jian Tang
2019	J	`jnl`	Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. CoRR Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang
2019	A*	`conf`	GMNN: Graph Markov Neural Networks. ICML Meng Qu, Yoshua Bengio, Jian Tang
2019	J	`jnl`	GMNN: Graph Markov Neural Networks. CoRR Meng Qu, Yoshua Bengio, Jian Tang
2019	A	`conf`	GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. CIKM Huawei Shen, Jian Tang, Peng Bao
2019	J	`jnl`	GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
2019	A*	`conf`	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu
2019	J	`jnl`	GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
2019	J	`jnl`	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. CoRR Fan-Yun Sun, Jordan Hoffmann, Jian Tang
2019	—	`conf`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation. CoRR Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhiyuan Liu, Juanzi Li, Jian Tang
2019	Misc	`conf`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	J	`jnl`	Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang
2019	J	`jnl`	Learning Powerful Policies by Using Consistent Dynamics Model. CoRR Shagun Sodhani, Anirudh Goyal, Tristan Deleu, Yoshua Bengio, Sergey Levine, Jian Tang
2019	A*	`conf`	Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. IJCAI Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu
2019	A*	`conf`	Probabilistic Logic Neural Networks for Reasoning. NeurIPS Meng Qu, Jian Tang
2019	J	`jnl`	Probabilistic Logic Neural Networks for Reasoning. CoRR Meng Qu, Jian Tang
2019	—	`conf`	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. ICLR (Poster) Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang
2019	J	`jnl`	RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. CoRR Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang
2019	A	`conf`	Session-Based Social Recommendation via Dynamic Graph Attention Networks. WSDM Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019	J	`jnl`	Session-based Social Recommendation via Dynamic Graph Attention Networks. CoRR Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019	—	`conf`	Structural Robustness for Deep Learning Architectures. DSW Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Structural Robustness for Deep Learning Architectures. CoRR Carlos Eduardo Rosar Kós Lassance, Vincent Gripon, Jian Tang, Antonio Ortega
2019	J	`jnl`	Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. CoRR Meng Qu, Jian Tang, Yoshua Bengio
2019	A*	`conf`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2019	J	`jnl`	vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
2018	J	`jnl`	AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang
2018	A	`conf`	Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM Meng Qu, Jian Tang, Jiawei Han
2018	A*	`conf`	DeepInf: Social Influence Prediction with Deep Learning. KDD Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018	J	`jnl`	DeepInf: Social Influence Prediction with Deep Learning. CoRR Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang
2018	A*	`conf`	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2018	J	`jnl`	Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
2018	J	`jnl`	PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. Comput. Graph. Forum Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2017	A	`conf`	An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017	J	`jnl`	An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
2017	J	`jnl`	Deriving User Preferences of Mobile Apps from Their Management Activities. ACM Trans. Inf. Syst. Xuanzhe Liu, Wei Ai, Huoran Li, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei
2017	A*	`conf`	End-to-end Learning for Short Text Expansion. KDD Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei
2017	J	`jnl`	End-to-end Learning for Short Text Expansion. CoRR Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei
2017	Misc	`conf`	Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. AMIA Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei
2017	J	`jnl`	Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users. CoRR Ziniu Hu, Yun Ma, Qiaozhu Mei, Jian Tang
2016	J	`jnl`	Context-aware Natural Language Generation with Recurrent Neural Networks. CoRR Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei
2016	J	`jnl`	Identity-sensitive Word Embedding through Heterogeneous Networks. CoRR Jian Tang, Meng Qu, Qiaozhu Mei
2016	J	`jnl`	Less is More: Learning Prominent and Diverse Topics for Data Summarization. CoRR Jian Tang, Ming Zhang, Qiaozhu Mei
2016	J	`jnl`	PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. CoRR Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2016	J	`jnl`	Visualization Large-scale and High-dimensional Data. CoRR Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2016	A*	`conf`	Visualizing Large-scale and High-dimensional Data. WWW Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei
2016	A*	`conf`	Voting with Their Feet: Inferring User Preferences from App Management Activities. WWW Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei
2015	A*	`conf`	LINE: Large-scale Information Network Embedding. WWW Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015	J	`jnl`	LINE: Large-scale Information Network Embedding. CoRR Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
2015	A*	`conf`	PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD Jian Tang, Meng Qu, Qiaozhu Mei
2015	J	`jnl`	PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. CoRR Jian Tang, Meng Qu, Qiaozhu Mei
2014	J	`jnl`	"Look Ma, No Hands!" A Parameter-Free Topic Model. CoRR Jian Tang, Ming Zhang, Qiaozhu Mei
2014	A*	`conf`	Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. AAAI Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen
2014	A*	`conf`	Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang
2013	A*	`conf`	One theme in all views: modeling consensus topics in multiple contexts. KDD Jian Tang, Ming Zhang, Qiaozhu Mei
2012	C	`conf`	Integrating Temporal Usage Pattern into Personalized Tag Prediction. APWeb Lei Zhang, Jian Tang, Ming Zhang
2011	J	`jnl`	A trigram hidden Markov model for metadata extraction from heterogeneous references. Inf. Sci. Bolanle Adefowoke Ojokoh, Ming Zhang, Jian Tang
2011	—	`conf`	Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks. ICADL Ming Zhang, Sheng Feng, Jian Tang, Bolanle Adefowoke Ojokoh, Guojun Liu
2011	A*	`conf`	Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks. AAAI Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen
2011	A	`conf`	Learning to rank audience for behavioral targeting in display ads. CIKM Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang
2010	—	`conf`	Users' Book-Loan Behaviors Analysis and Knowledge Dependency Mining. WAIM Fei Yan, Ming Zhang, Jian Tang, Tao Sun, Zhi-Hong Deng, Long Xiao