conftrace_

Jun Yan

34 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ 🏃 Academic Marathon (12) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 👥 Mega-Team (23) 🤝 Dynamic Duo (12) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter 🗃️ Keyword Collector (150) Prolific Year (5) 🔥 Unstoppable (9) The Questioner 💎 Century Club (30)

Conferences

ACL (9) EMNLP (6) NAACL (4) ICLR (3) AAAI (2) EACL (2) IJCAI (2) IJCNLP (2) NIPS (2) ICCV (1) ICML (1)

Papers

SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems AAAI 2026 Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating AAAI 2026 Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents ACL 2025 Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation ACL 2025 Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025 Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025 Instruction-following Evaluation through Verbalizer Manipulation NAACL 2024 How Susceptible are Large Language Models to Ideological Manipulation? EMNLP 2024 Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems NIPS 2024 AlpaGasus: Training a Better Alpaca with Fewer Data ICLR 2024 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection NAACL 2024 Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation ICLR 2024 BITE: Textual Backdoor Attacks with Iterative Trigger Injection ACL 2023 Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations ICML 2022 On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022 CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark ACL 2022 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021 Learning Contextualized Knowledge Structures for Commonsense Reasoning ACL 2021 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding IJCNLP 2021 Learning Contextualized Knowledge Structures for Commonsense Reasoning IJCNLP 2021 Learning from Explanations with Neural Execution Tree ICLR 2020 Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020 A Deep Learning-Based System for PharmaCoNER EMNLP 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NIPS 2019 HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets ACL 2019 Language Modeling with Sparse Product of Sememe Experts EMNLP 2018 Active Sentiment Domain Adaptation ACL 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification IJCAI 2017 Towards Accurate Distant Supervision for Relational Facts Extraction ACL 2013