ML Anthology

Tang, Jian

133 publications

ICML 2025 Aligning Protein Conformation Ensemble Generation with Physical Feedback Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
ICLRW 2025 Design of Ligand-Binding Proteins with Atomic Flow Matching Junqi Liu, Shaoning Li, Chence Shi, Zhi Yang, Jian Tang
NeurIPS 2025 FreqPolicy: Efficient Flow-Based Visuomotor Policy via Frequency Consistency Yifei Su, Ning Liu, Dong Chen, Zhen Zhao, Kun Wu, Meng Li, Zhiyuan Xu, Zhengping Che, Jian Tang
ICLR 2025 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang
ICLR 2025 GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang
ICLRW 2025 Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models Zhanke Zhou, Xuan Li, Zhaocheng Zhu, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han
NeurIPS 2025 Overcoming Long Context Limitations of State Space Models via Context Dependent Sparse Attention Zhihao Zhan, Jianan Zhao, Zhaocheng Zhu, Jian Tang
NeurIPS 2025 SEEA-R1: Tree-Structured Reinforcement Fine-Tuning for Self-Evolving Embodied Agents Wanxin Tian, Shijie Zhang, Kevin Zhang, Xiaowei Chi, Chun-Kai Fan, Junyu Lu, Yulin Luo, Qiang Zhou, Yiming Zhao, Ning Liu, Siyu Lin, Zhiyuan Qin, Xiaozhu Ju, Shanghang Zhang, Jian Tang
ICLR 2025 Structure Language Models for Protein Conformation Generation Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
ICLRW 2025 Towards Protein Sequence & Structure Co-Design with Multi-Modal Language Models Stephen Zhewen Lu, Jiarui Lu, Hongyu Guo, Jian Tang
ICCV 2025 Training-Free Generation of Temporally Consistent Rewards from VLMs Yinuo Zhao, Jiale Yuan, Zhiyuan Xu, Xiaoshuai Hao, Xinyi Zhang, Kun Wu, Zhengping Che, Chi Harold Liu, Jian Tang
NeurIPS 2024 A Foundation Model for Zero-Shot Logical Query Reasoning Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
NeurIPS 2024 Any2Policy: Learning Visuomotor Policy with Any-Modality Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang
ICMLW 2024 Augmenting Evolutionary Models with Structure-Based Retrieval Yining Huang, Zuobai Zhang, Jian Tang, Debora Susan Marks, Pascal Notin
NeurIPS 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
NeurIPSW 2024 Cell Ontology Guided Transcriptome Foundation Model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
NeurIPS 2024 EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang
AAAI 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang
ICLR 2024 Evaluating Representation Learning on the Protein Structure Universe Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom Leon Blundell
AAAI 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang
ICLRW 2024 F$^3$low: Frame-to-Frame Coarse-Grained Molecular Dynamics with SE(3) Guided Flow Matching Shaoning Li, Yusong Wang, Mingyu Li, Bin Shao, Nanning Zheng, Zhang Jian, Jian Tang
NeurIPSW 2024 Fully-Inductive Node Classification on Arbitrary Graphs Jianan Zhao, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
ICLRW 2024 Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations Jiarui Lu, Zuobai Zhang, Bozitao Zhong, Chence Shi, Jian Tang
NeurIPSW 2024 GraphText: Graph Reasoning in Text Space Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
ICMLW 2024 In-Context Learning, Can It Break Safety? Sophie Xhonneux, David Dobre, Michael Noukhovitch, Jian Tang, Gauthier Gidel, Dhanya Sridhar
NeurIPS 2024 Multi-Scale Representation Learning for Protein Fitness Prediction Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie Lozano, Vijil Chenthamarakshan, Debora Marks, Payel Das, Jian Tang
ICLRW 2024 Prioritizing Safeguarding over Autonomy: Risks of LLM Agents for Science Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
CVPR 2024 Retrieval-Augmented Embodied Agents Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang
ICLR 2024 Str2Str: A Score-Based Framework for Zero-Shot Protein Conformation Sampling Jiarui Lu, Bozitao Zhong, Zuobai Zhang, Jian Tang
NeurIPSW 2024 Structure Language Models for Protein Conformation Generation Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang
ICLRW 2024 Structure-Informed Protein Language Model Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
ICLR 2024 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets 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, Michał 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
TMLR 2024 Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang
ICML 2023 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-Modal Pretraining Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang
NeurIPS 2023 A*Net: A Scalable Path-Based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang
CVPR 2023 CP3: Channel Pruning Plug-in for Point-Based Networks Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang
NeurIPS 2023 DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang
ICLR 2023 E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang
ICLRW 2023 Enhancing Protein Language Model with Structure-Based Encoder and Pre-Training Zuobai Zhang, Minghao Xu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
ICLRW 2023 EurNet: Efficient Multi-Range Relational Modeling of Protein Structure Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian
NeurIPS 2023 Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
ICMLW 2023 Evolving Computation Graphs Andreea Deac, Jian Tang
AAAI 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) Shengchao Liu, David Vázquez, Jian Tang, Pierre-André Noël
ICML 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu
NeurIPS 2023 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian 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 Lee, Bingqing Cheng, Alan Aspuru-Guzik, Philippe Schwaller, Jian Tang
ICLR 2023 Learning on Large-Scale Text-Attributed Graphs via Variational Inference Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
ICLR 2023 Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching Shengchao Liu, Hongyu Guo, Jian Tang
NeurIPSW 2023 PDB-Struct: A Comprehensive Benchmark for Structure-Based Protein Design Chuanrui Wang, Bozitao Zhong, Zuobai Zhang, Narendra Chaudhary, Sanchit Misra, Jian Tang
NeurIPS 2023 Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction Zuobai Zhang, Minghao Xu, Aurelie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang
ICML 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang
ICLR 2023 Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
ICLR 2023 Protein Sequence and Structure Co-Design with Equivariant Translation Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
CVPR 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang
ICMLW 2023 Score-Based Enhanced Sampling for Protein Molecular Dynamics Jiarui Lu, Bozitao Zhong, Jian Tang
AAAI 2023 Signed Laplacian Graph Neural Networks Yu Li, Meng Qu, Jian Tang, Yi Chang
NeurIPS 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Zhiling Zheng, Chenru Duan, Zhi-Ming Ma, Omar Yaghi, Animashree Anandkumar, Christian Borgs, Jennifer Chayes, Hongyu Guo, Jian Tang
NeurIPSW 2023 Towards Foundation Models for Knowledge Graph Reasoning Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
AISTATS 2022 Structured Multi-Task Learning for Molecular Property Prediction Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
ICLRW 2022 A Minimalist Ensemble Method for Generalizable Offline Deep Reinforcement Learning Kun Wu, Yinuo Zhao, Zhiyuan Xu, Zhen Zhao, Pei Ren, Zhengping Che, Chi Harold Liu, Feifei Feng, Jian Tang
AAAI 2022 CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu
NeurIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby
ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby
ICMLW 2022 Flaky Performances When Pre-Training on Relational Databases with a Plan for Future Characterization Efforts Shengchao Liu, David Vazquez, Jian Tang, Pierre-Andre Noel
ICMLW 2022 GAUCHE: A Library for Gaussian Processes in Chemistry Ryan-Rhys Griffiths, Leo Klarner, Henry Moss, Aditya Ravuri, Sang T. Truong, Bojana Rankovic, Yuanqi Du, Arian Rokkum Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha Lee, Philippe Schwaller, Jian Tang
ICML 2022 Generative Coarse-Graining of Molecular Conformations Wujie Wang, Minkai Xu, Chen Cai, Benjamin K Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gomez-Bombarelli
ICLR 2022 GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang
NeurIPSW 2022 GraphCG: Unsupervised Discovery of Steerable Factors in Graphs Shengchao Liu, Chengpeng Wang, Weili Nie, Hanchen Wang, Jiarui Lu, Bolei Zhou, Jian Tang
NeurIPS 2022 High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua, Guillaume Rabusseau, Jian Tang
NeurIPS 2022 Inductive Logical Query Answering in Knowledge Graphs Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
LoG 2022 Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang
ECCV 2022 Label-Guided Auxiliary Training Improves 3D Object Detector Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang
ICLR 2022 Neural Structured Prediction for Inductive Node Classification Meng Qu, Huiyu Cai, Jian Tang
ICML 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang
NeurIPS 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding Minghao Xu, Zuobai Zhang, Jiarui Lu, Zhaocheng Zhu, Yangtian Zhang, Ma Chang, Runcheng Liu, Jian Tang
ICLR 2022 Pre-Training Molecular Graph Representation with 3D Geometry Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
ICLRW 2022 Pre-Training Molecular Graph Representation with 3D Geometry Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang
ICMLW 2022 Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
CVPR 2022 RGB-Depth Fusion GAN for Indoor Depth Completion Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang
NeurIPS 2022 Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang
ICML 2021 An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang
AAAI 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
ICCV 2021 Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang
NeurIPS 2021 How to Transfer Algorithmic Reasoning Knowledge to Learn New Algorithms? Louis-Pascal Xhonneux, Andreea-Ioana Deac, Petar Veličković, Jian Tang
NeurIPS 2021 Joint Modeling of Visual Objects and Relations for Scene Graph Generation Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
ICML 2021 Learning Gradient Fields for Molecular Conformation Generation Chence Shi, Shitong Luo, Minkai Xu, Jian Tang
ICLR 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
ICML 2021 Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang
ICCVW 2021 Multi-Stage Fusion for Multi-Class 3D LiDAR Detection Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng
NeurIPSW 2021 Multi-Task Learning with Domain Knowledge for Molecular Property Prediction Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
NeurIPS 2021 Neural Algorithmic Reasoners Are Implicit Planners Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic, Pierre-Luc Bacon, Jian Tang, Mladen Nikolic
NeurIPS 2021 Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, Jian Tang
ICML 2021 Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction Hangrui Bi, Hengyi Wang, Chence Shi, Connor Coley, Jian Tang, Hongyu Guo
ICLR 2021 Predicting Infectiousness for Proactive Contact Tracing Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaetan Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz Gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
NeurIPS 2021 Predicting Molecular Conformation via Dynamic Graph Score Matching Shitong Luo, Chence Shi, Minkai Xu, Jian Tang
ICLR 2021 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang
ICML 2021 Self-Supervised Graph-Level Representation Learning with Local and Global Structure Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang
IJCAI 2021 Unsupervised Path Representation Learning with Curriculum Negative Sampling Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
ICML 2020 A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang
ECML-PKDD 2020 An Advert Creation System for 3D Product Placements Ivan Bacher, Hossein Javidnia, Soumyabrata Dev, Rahul Agrahari, Murhaf Hossari, Matthew Nicholson, Clare Conran, Jian Tang, Peng Song, David Corrigan, François Pitié
ECCV 2020 An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
AAAI 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye
ICML 2020 Continuous Graph Neural Networks Louis-Pascal Xhonneux, Meng Qu, Jian Tang
ECCV 2020 Differentiable Feature Aggregation Search for Knowledge Distillation Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang
AAAI 2020 Domain Conditioned Adaptation Network Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang
ICML 2020 Few-Shot Relation Extraction via Bayesian Meta-Learning on Relation Graphs Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux, Jian Tang
NeurIPS 2020 Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
ICLR 2020 GraphAF: A Flow-Based Autoregressive Model for Molecular Graph Generation Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang
ICLR 2020 InfoGraph: Unsupervised and Semi-Supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang
NeurIPS 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye
NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikuláš Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, Will Hamilton
ICML 2020 Learning to Navigate the Synthetically Accessible Chemical Space Using Reinforcement Learning Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Shengchao Liu, Simon Blackburn, Karam Thomas, Connor Coley, Jian Tang, Sarath Chandar, Yoshua Bengio
AAAI 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
NeurIPS 2020 Towards Interpretable Natural Language Understanding with Explanations as Latent Variables Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang
NeurIPSW 2020 XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac, Petar Veličković, Ognjen Milinković, Pierre-Luc Bacon, Jian Tang, Mladen Nikolić
AAAI 2019 Contextualized Non-Local Neural Networks for Sequence Learning Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung
ICML 2019 GMNN: Graph Markov Neural Networks Meng Qu, Yoshua Bengio, Jian Tang
IJCAI 2019 Multi-Scale Information Diffusion Prediction with Reinforced Recurrent Networks Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu
NeurIPS 2019 Probabilistic Logic Neural Networks for Reasoning Meng Qu, Jian Tang
ICLR 2019 RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang
AAAI 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
NeurIPS 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
ECCV 2018 A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang
AAAI 2018 Adversarial Network Embedding Quanyu Dai, Qiang Li, Jian Tang, Dan Wang
AAAI 2018 Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang
AAAI 2018 Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
ICML 2017 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan
AAAI 2014 Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen
ICML 2014 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei, Ming Zhang
AAAI 2011 Collaborative Users' Brand Preference Mining Across Multiple Domains from Implicit Feedbacks Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen