Jian Pei

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

Achievements

+11 more ↓

🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) 🤝 Dynamic Duo (14) 🏆 Grand Slam 👥 Mega-Team (71) 🗃️ Keyword Collector (149) ⚡ Prolific Year (7) 💎 Century Club (33) 🔥 Unstoppable (6) 📈 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