Tengfei Ma
51 papers · 2010–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (14) π Academic Marathon (15) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Academic Marathon
(15)
πΊοΈ
Taxonomy Completionist
(85)
π§
Keyword Pioneer
π¬
Deep Specialist
(13)
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(184)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Century Club
(48)
π₯
Unstoppable
(10)
β
The Questioner
Conferences
EMNLP (11)
AAAI (10)
IJCAI (7)
ICLR (5)
NIPS (4)
ICML (3)
ACL (2)
IJCNLP (2)
NAACL (2)
COLING (1)
EACL (1)
ECCV (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
graph neural network
(13)
knowledge graph
(6)
link prediction
(5)
contrastive learning
(4)
transfer learning
(4)
persistent homology
(4)
graph representation learning
(3)
domain adaptation
(3)
unsupervised learning
(3)
code generation
(3)
semi-supervised learning
(3)
representation learning
(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
Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization
AAAI 2026
TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction
AAAI 2026
CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation
ACL 2026
Enhancing Graph Representation Learning with Localized Topological Features
JMLR 2025
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
ICLR 2025
Shedding Light on Time Series Classification using Interpretability Gated Networks
ICLR 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
SΒ²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
AAAI 2025
NBDESCRIB: A Dataset for Text Description Generation from Tables and Code in Jupyter Notebooks with Guidelines
ACL 2025
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
EMNLP 2025
FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
EMNLP 2024
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
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
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
NAACL 2024
Knowledge Graph Compression Enhances Diverse Commonsense Generation
EMNLP 2023
Federated learning of models pre-trained on different features with consensus graphs
UAI 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
NIPS 2023
Weighted Clock Logic Point Process
ICLR 2023
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
EMNLP 2023
Neural Approximation of Graph Topological Features
NIPS 2022
Cycle Representation Learning for Inductive Relation Prediction
ICML 2022
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract)
IJCAI 2022
A Study of the Attention Abnormality in Trojaned BERTs
NAACL 2022
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
Link Prediction with Persistent Homology: An Interactive View
ICML 2021
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport
EMNLP 2021
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling
AAAI 2020
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
IJCAI 2020
Curvature Graph Network
ICLR 2020
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
EMNLP 2020
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
AAAI 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
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
AAAI 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
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
NIPS 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
ICLR 2018
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
IJCAI 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