← Authors

Jian Pei

33 papers · 2019–2024 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (71) πŸƒ Academic Marathon (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ‘₯ Mega-Team (71) πŸ—ƒοΈ Keyword Collector (149) ⚑ Prolific Year (7) πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

AAAI (7) ACL (4) EMNLP (4) ICML (4) COLING (2) IJCNLP (2) NAACL (2) NIPS (2) CLEAR (1) CVPR (1) ICCV (1) ICLR (1) IJCAI (1) JMLR (1)

Top co-authors

Daxin Jiang (14) Linjun Shou (11) Ming Gong (11) Heng Huang (5) Yong Zhang (5) Xiubo Geng (4) Lingyang Chu (4) Nuo Chen (4) Lanjun Wang (4) Feihu Huang (3)

Research topics

Privacy (2)

Keywords

cross-lingual transfer (6) graph neural network (6) representation learning (4) contrastive learning (4) cross-lingual machine reading comprehension (3) knowledge distillation (3) pre-trained language model (3) state prediction (2) cross-lingual learning (2) procedural text understanding (2) low-resource language (2) transfer learning (2) semantic relation (2) entity tracking (2) machine reading comprehension (2) knowledge graph (2) knowledge transfer (2) unsupervised learning (2) model compression (2) self-supervised learning (2)

Papers

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
Fair and Efficient Contribution Valuation for Vertical Federated Learning ICLR 2024
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023
Identify Event Causality with Knowledge and Analogy AAAI 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML 2023
Alleviating Over-smoothing for Unsupervised Sentence Representation ACL 2023
Structural Contrastive Pretraining for Cross-Lingual Comprehension ACL 2023
Factual Observation Based Heterogeneity Learning for Counterfactual Prediction CLEAR 2023
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NIPS 2022
Cosine Model Watermarking against Ensemble Distillation AAAI 2022
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval EMNLP 2022
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization JMLR 2022
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding EMNLP 2022
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling NAACL 2022
From Good to Best: Two-Stage Training for Cross-Lingual Machine Reading Comprehension AAAI 2022
Robust Counterfactual Explanations on Graph Neural Networks NIPS 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation AAAI 2021
Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021
Reinforced Multi-Teacher Selection for Knowledge Distillation AAAI 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding ACL 2021
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning ACL 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding EMNLP 2021
Finding Representative Interpretations on Convolutional Neural Networks ICCV 2021
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding IJCNLP 2021
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning IJCNLP 2021
A Graph Representation of Semi-structured Data for Web Question Answering COLING 2020
Sinkhorn Regression IJCAI 2020
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation COLING 2020
Momentum-Based Policy Gradient Methods ICML 2020
Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020
Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features NAACL 2019
Demystifying Dropout ICML 2019