Shengchao Liu
22 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (7)
π
Conference Polyglot
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π
Keyword Champion
(3)
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(77)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(20)
π₯
Unstoppable
(8)
β
The Questioner
Conferences
NIPS (8)
ICLR (5)
AAAI (4)
ACL (2)
ICML (2)
AISTATS (1)
Top co-authors
Keywords
graph neural network
(5)
self-supervised learning
(3)
molecule representation
(3)
contrastive learning
(3)
transfer learning
(2)
negative transfer
(2)
drug discovery
(2)
geometric representation
(2)
machine-generated text detection
(2)
domain generalization
(1)
policy gradient
(1)
multi-task learning
(1)
chain-of-thought reasoning
(1)
text classification
(1)
domain adaptation
(1)
zero-shot learning
(1)
out-of-distribution generalization
(1)
geometric deep learning
(1)
mutual information
(1)
distributed learning
(1)
Papers
Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression
ACL 2026
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
AAAI 2026
AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly
ICLR 2025
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better
ACL 2024
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
NIPS 2024
Conversational Drug Editing Using Retrieval and Domain Feedback
ICLR 2024
Improving Domain Generalization with Domain Relations
ICLR 2024
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
NIPS 2023
Flaky Performances When Pretraining on Relational Databases (Student Abstract)
AAAI 2023
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
ICLR 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
NIPS 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
NIPS 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
NIPS 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
Structured Multi-task Learning for Molecular Property Prediction
AISTATS 2022
Pre-training Molecular Graph Representation with 3D Geometry
ICLR 2022
Neural Sentence Ordering Based on Constraint Graphs
AAAI 2021
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
ICML 2020
Bad Global Minima Exist and SGD Can Reach Them
NIPS 2020
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
NIPS 2019
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning
AAAI 2019
ATOMO: Communication-efficient Learning via Atomic Sparsification
NIPS 2018