← Authors

Tengfei Ma

50 papers · 2010–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (85) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (184) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (48) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

EMNLP (11) AAAI (10) IJCAI (7) ICLR (5) NIPS (4) ICML (3) IJCNLP (2) NAACL (2) ACL (1) COLING (1) EACL (1) ECCV (1) JMLR (1) UAI (1)

Top co-authors

Lingfei Wu (9) Cao Xiao (7) Jie Chen (7) Chao Chen (7) Shouling Ji (6) Xiangxiang Zeng (6) Yangkai Du (5) Xuhong Zhang (5) Zhi Tang (4) Liangcai Gao (4)

Keywords

graph neural network (13) knowledge graph (6) link prediction (5) persistent homology (4) contrastive learning (4) graph representation learning (3) transfer learning (3) unsupervised learning (3) code generation (3) semi-supervised learning (3) representation learning (3) domain adaptation (3) topological feature (3) attention mechanism (3) zero-shot learning (2) node classification (2) electronic health record (2) text generation (2) optimal transport (2) text summarization (2)

Papers

TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction AAAI 2026
Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization AAAI 2026
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation ICLR 2025
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing EMNLP 2025
Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025
NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines ACL 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks ICLR 2025
SΒ²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion AAAI 2025
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting AAAI 2025
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NIPS 2024
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection AAAI 2024
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization NAACL 2024
TrojVLM: Backdoor Attack Against Vision Language Models ECCV 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024
FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition EMNLP 2024
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code EMNLP 2023
Federated learning of models pre-trained on different features with consensus graphs UAI 2023
Weighted Clock Logic Point Process ICLR 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network NIPS 2023
Knowledge Graph Compression Enhances Diverse Commonsense Generation EMNLP 2023
Neural Approximation of Graph Topological Features NIPS 2022
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) IJCAI 2022
A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022
Cycle Representation Learning for Inductive Relation Prediction ICML 2022
Link Prediction with Persistent Homology: An Interactive View ICML 2021
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021
Constructing contrastive samples via summarization for text classification with limited annotations EMNLP 2021
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling AAAI 2020
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020
Curvature Graph Network ICLR 2020
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction IJCAI 2020
Pre-Training BERT on Domain Resources for Short Answer Grading EMNLP 2019
Pre-Training BERT on Domain Resources for Short Answer Grading IJCNLP 2019
Graph Enhanced Cross-Domain Text-to-SQL Generation EMNLP 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals IJCAI 2019
RDPD: Rich Data Helps Poor Data via Imitation IJCAI 2019
Pre-training of Graph Augmented Transformers for Medication Recommendation IJCAI 2019
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination AAAI 2019
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders IJCAI 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NIPS 2018
Multilingual Training of Crosslingual Word Embeddings EACL 2017
Inverted Bilingual Topic Models for Lexicon Extraction from Non-parallel Data IJCAI 2017
Learning Crosslingual Word Embeddings without Bilingual Corpora EMNLP 2016
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach EMNLP 2013
Named Entity Recognition in Chinese News Comments on the Web IJCNLP 2011
Opinion Target Extraction in Chinese News Comments COLING 2010