Tian Xia

36 papers · 2009–2026 · 16 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐝 Cross-Pollinator (12) 🏃 Academic Marathon (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (12)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🏃 Academic Marathon (16) 🧬 Topic Evolution 🏆 Grand Slam 🏆 Keyword Champion 🔥 Unstoppable (7) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (32) ⚡ Prolific Year (9) 🗃️ Keyword Collector (151)

Conferences

EMNLP (7) AAAI (5) ACL (4) MICCAI (3) CVPR (2) ICML (2) IJCAI (2) NAACL (2) NIPS (2) AISTATS (1) COLING (1) ECCV (1) ICLR (1) IJCNLP (1) MIDL (1) RSS (1)

Top co-authors

Ben Glocker (5) Fabio De Sousa Ribeiro (5) Shaojun Wang (5) Zongcheng Ji (4) Mei Han (4) Shaodan Zhai (3) Sarp Aykent (3) Jing Xiao (3) Yi Fang (2) Wei-Shinn Ku (2)

Research topics

Reasoning (1)

Keywords

named entity recognition (4) large language model (3) entity normalization (3) neural network (2) disease named entity recognition (2) generative adversarial network (2) llm agent (2) biomedical text (2) transition-based model (2) multi-task learning (2) ancient chinese (2) joint modeling (2) adversarial learning (2) attention mechanism (2) transition-based parsing (2) object detection (1) ensemble learning (1) 3d reconstruction (1) transfer learning (1) image generation (1)

Papers

Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids AAAI 2026 League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models ACL 2026 PartialNet: Compute Less, Perform Better AAAI 2026 Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026 How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources EMNLP 2025 PlanGenLLMs: A Modern Survey of LLM Planning Capabilities ACL 2025 Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning EMNLP 2025 GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks ICLR 2025 Diffusion Counterfactual Generation with Semantic Abduction ICML 2025 MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation IJCAI 2025 CF-Seg: Counterfactuals meet Segmentation MICCAI 2025 Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis MICCAI 2025 GRoWE: A GujiRoBERTa-Enhanced Approach to Ancient Chinese NER via Word-Word Relation Classification and Model Ensembling NAACL 2025 Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method ACL 2024 SPEADO: Segmentation and Punctuation for Ancient Chinese Texts via Example Augmentation and Decoding Optimization COLING 2024 "Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice" ECCV 2024 R-Judge: Benchmarking Safety Risk Awareness for LLM Agents EMNLP 2024 Mitigating attribute amplification in counterfactual image generation MICCAI 2024 SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning NIPS 2023 Constrained Market Share Maximization by Signal-Guided Optimization AAAI 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models ICML 2023 A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space EMNLP 2022 A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization ACL 2021 A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization IJCNLP 2021 PAII-NLP at SMM4H 2021: Joint Extraction and Normalization of Adverse Drug Effect Mentions in Tweets NAACL 2021 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) AAAI 2020 Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019 Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization MIDL 2019 Multi-View 3D Object Detection Network for Autonomous Driving CVPR 2017 Vehicle Detection from 3D Lidar Using Fully Convolutional Network RSS 2016 A Direct Boosting Approach for Semi-supervised Classification IJCAI 2015 Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015 Improving Alignment of System Combination by Using Multi-objective Optimization EMNLP 2013 A Corpus Level MIRA Tuning Strategy for Machine Translation EMNLP 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013 Weighted Alignment Matrices for Statistical Machine Translation EMNLP 2009