Jian Tang

Aligning Protein Conformation Ensemble Generation with Physical Feedback ICML 2025 Fully-inductive Node Classification on Arbitrary Graphs ICLR 2025 GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning ICLR 2025 RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation RSS 2025 Structure Language Models for Protein Conformation Generation ICLR 2025 Training-free Generation of Temporally Consistent Rewards from VLMs ICCV 2025 A Foundation Model for Zero-shot Logical Query Reasoning NeurIPS 2024 AI for Science in the Era of Large Language Models EMNLP 2024 Any2Policy: Learning Visuomotor Policy with Any-Modality NeurIPS 2024 Cell ontology guided transcriptome foundation model NeurIPS 2024 EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching NeurIPS 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 Evaluating Representation Learning on the Protein Structure Universe ICLR 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024 Multi-Scale Representation Learning for Protein Fitness Prediction NeurIPS 2024 Retrieval-Augmented Embodied Agents CVPR 2024 Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling ICLR 2024 Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets ICLR 2024 Towards Foundation Models for Knowledge Graph Reasoning ICLR 2024 A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining ICML 2023 A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NeurIPS 2023 CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023 DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing NeurIPS 2023 E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking ICLR 2023 Evaluating Self-Supervised Learning for Molecular Graph Embeddings NeurIPS 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) AAAI 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023 Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching ICLR 2023 Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction NeurIPS 2023 Protein Representation Learning by Geometric Structure Pretraining ICLR 2023 Protein Sequence and Structure Co-Design with Equivariant Translation ICLR 2023 ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts ICML 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023 Signed Laplacian Graph Neural Networks AAAI 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NeurIPS 2023 CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving AAAI 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NeurIPS 2022 Generative Coarse-Graining of Molecular Conformations ICML 2022 GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation ICLR 2022 High-Order Pooling for Graph Neural Networks with Tensor Decomposition NeurIPS 2022 Inductive Logical Query Answering in Knowledge Graphs NeurIPS 2022 Label-Guided Auxiliary Training Improves 3D Object Detector ECCV 2022 Neural Structured Prediction for Inductive Node Classification ICLR 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs ICML 2022 PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding NeurIPS 2022 Pre-training Molecular Graph Representation with 3D Geometry ICLR 2022 RGB-Depth Fusion GAN for Indoor Depth Completion CVPR 2022 Structured Multi-task Learning for Molecular Property Prediction AISTATS 2022 Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering ACL 2022 Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation NeurIPS 2022 An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming ICML 2021 Feature-level Incongruence Reduction for Multimodal Translation NAACL 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning AAAI 2021 Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning ICCV 2021 How to transfer algorithmic reasoning knowledge to learn new algorithms? NeurIPS 2021 Joint Modeling of Visual Objects and Relations for Scene Graph Generation NeurIPS 2021 Learning Gradient Fields for Molecular Conformation Generation ICML 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation ICLR 2021 Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021 Neural Algorithmic Reasoners are Implicit Planners NeurIPS 2021 Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction NeurIPS 2021 Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction ICML 2021 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021 Predicting Molecular Conformation via Dynamic Graph Score Matching NeurIPS 2021 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs ICLR 2021 Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021 Unsupervised Path Representation Learning with Curriculum Negative Sampling IJCAI 2021 A Graph to Graphs Framework for Retrosynthesis Prediction ICML 2020 An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices ECCV 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 Continuous Graph Neural Networks ICML 2020 Differentiable Feature Aggregation Search for Knowledge Distillation ECCV 2020 Domain Conditioned Adaptation Network AAAI 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Graph Policy Network for Transferable Active Learning on Graphs NeurIPS 2020 InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization ICLR 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 Learning Dynamic Belief Graphs to Generalize on Text-Based Games NeurIPS 2020 Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning ICML 2020 PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020 Towards Interpretable Natural Language Understanding with Explanations as Latent Variables NeurIPS 2020 Contextualized Non-Local Neural Networks for Sequence Learning AAAI 2019 GMNN: Graph Markov Neural Networks ICML 2019 Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019 Probabilistic Logic Neural Networks for Reasoning NeurIPS 2019 RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space ICLR 2019 Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning CVPR 2019 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NeurIPS 2019 Acoustic Modeling with Densely Connected Residual Network for Multichannel Speech Recognition Interspeech 2018 A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers ECCV 2018 Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank ICML 2017 Future Context Attention for Unidirectional LSTM Based Acoustic Model Interspeech 2016 RNN-BLSTM Based Multi-Pitch Estimation Interspeech 2016 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014