← Authors

Jian Tang

98 papers · 2014–2025 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🏠 Conference Loyalist (27) πŸ”¬ Deep Specialist (19) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (37) 🀝 Dynamic Duo (14) ❓ The Questioner (2) πŸš€ Conference Pioneer ⚑ Prolific Year (13) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (68) πŸ’Ž Century Club (98) πŸ“ˆ Trend Setter

Conferences

NIPS (27) ICLR (21) ICML (18) AAAI (11) CVPR (5) ECCV (4) INTERSPEECH (3) ICCV (2) IJCAI (2) ACL (1) AISTATS (1) EMNLP (1) NAACL (1) RSS (1)

Top co-authors

Meng Qu (14) Zuobai Zhang (12) Zhiyuan Xu (12) Zhaocheng Zhu (10) Zhengping Che (10) Chence Shi (9) Hongyu Guo (8) Shengchao Liu (8) Minkai Xu (8) Yoshua Bengio (8)

Research topics

Computer Vision (1)

Keywords

graph neural network (20) model compression (7) knowledge graph (6) self-supervised learning (5) representation learning (5) variational inference (5) node classification (5) multi-modal learning (5) reinforcement learning (4) knowledge distillation (4) transfer learning (4) molecular graph (4) zero-shot learning (3) protein structure (3) protein language model (3) multi-task learning (3) neural network pruning (3) link prediction (3) neural network optimization (3) graph representation learning (2)

Papers

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