Jing Gao

36 papers · 2009–2026 · 10 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (16)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (11) 🏆 Keyword Champion 👑 Triple Crown 🏆 Grand Slam 🗃️ Keyword Collector (180) ⚡ Prolific Year (6) 📈 Trend Setter 💎 Century Club (35) 🔥 Unstoppable (9)

Conferences

EMNLP (11) NIPS (5) AAAI (4) ICML (4) IJCAI (4) ICLR (3) ACL (2) CVPR (1) ECCV (1) NAACL (1)

Top co-authors

Tianci Liu (11) Haoyu Wang (11) Yaqing Wang (9) Lu Su (7) Feijie Wu (5) Yaliang Li (5) Ruirui Li (4) Aidong Zhang (4) Xingchen Wang (4) Monica Xiao Cheng (3)

Keywords

representation learning (4) causal inference (3) parameter-efficient fine-tuning (3) transfer learning (2) few-shot learning (2) model compression (2) large language model (2) treatment effect estimation (2) evaluation metric (2) recommender system (2) direct preference optimization (2) supervised fine-tuning (2) federated learning (2) top-k metrics (2) reinforcement learning (2) data poisoning (1) algorithmic fairness (1) certified robustness (1) contrastive learning (1) adversarial learning (1)

Papers

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models ACL 2026 Towards Federated RLHF with Aggregated Client Preference for LLMs ICLR 2025 Towards Universal Debiasing for Language Models-based Tabular Data Generation EMNLP 2025 Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning ICLR 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing ICML 2025 On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness ICML 2025 DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery CVPR 2025 RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning EMNLP 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions NIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NIPS 2024 Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NIPS 2024 BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering EMNLP 2024 SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation EMNLP 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 Towards Poisoning Fair Representations ICLR 2024 LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models ICML 2024 HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference EMNLP 2023 Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding EMNLP 2023 Weighted Contrastive Learning With False Negative Control to Help Long-tailed Product Classification ACL 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification AAAI 2023 Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023 Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023 AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning EMNLP 2022 An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries ECCV 2022 LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners NAACL 2022 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021 Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021 Knowledge-Guided Paraphrase Identification EMNLP 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 Weak Supervision for Fake News Detection via Reinforcement Learning AAAI 2020 Metric Learning on Healthcare Data with Incomplete Modalities IJCAI 2019 On the Estimation of Treatment Effect with Text Covariates IJCAI 2019 Data Poisoning Attack against Knowledge Graph Embedding IJCAI 2019 Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009