conftrace_

Hao He

50 papers · 2017–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (16)
🐣 Hot Topic Early Bird πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (98) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (19) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (197) ❓ The Questioner (2) ⚑ Prolific Year (15) πŸš€ Conference Pioneer πŸ’Ž Century Club (47) πŸ”₯ Unstoppable (7)

Conferences

AAAI (9) ICLR (8) EMNLP (6) NIPS (5) ACL (4) CVPR (3) ICML (3) COLING (2) ICCV (2) IJCAI (2) IJCNLP (1) INTERSPEECH (1) MLHC (1) NAACL (1) UAI (1) WACV (1)

Papers

When Personalization Legitimizes Risks: Uncovering Safety Vulnerabilities in Personalized Dialogue Agents ACL 2026 AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital ACL 2026 Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities AAAI 2026 CameraCtrl: Enabling Camera Control for Video Diffusion Models ICLR 2025 De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation CVPR 2025 Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models NAACL 2025 CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models ICCV 2025 Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis AAAI 2024 Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control NIPS 2024 Contactless Oxygen Monitoring with Radio Waves and Gated Transformer MLHC 2023 ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction NIPS 2023 Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation NIPS 2023 Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation AAAI 2023 Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry AAAI 2023 MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning ACL 2023 Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks CVPR 2023 Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task EMNLP 2023 Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding EMNLP 2023 FedDAR: Federated Domain-Aware Representation Learning ICLR 2023 Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning ICLR 2023 Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation ICLR 2023 Taxonomy-Structured Domain Adaptation ICML 2023 Cochlear-implant Listeners Listening to Cochlear-implant Simulated Speech INTERSPEECH 2023 Addressing Feature Suppression in Unsupervised Visual Representations WACV 2023 To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. COLING 2022 Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate AAAI 2022 Graph-Relational Domain Adaptation ICLR 2022 Controlling Directions Orthogonal to a Classifier ICLR 2022 Weakly Supervised Neural Symbolic Learning for Cognitive Tasks AAAI 2022 Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI EMNLP 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation IJCNLP 2021 PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation CVPR 2021 Synchronous Interactive Decoding for Multilingual Neural Machine Translation AAAI 2021 Enhanced Boundary Learning for Glass-Like Object Segmentation ICCV 2021 Dependent Multi-Task Learning with Causal Intervention for Image Captioning IJCAI 2021 De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation ACL 2021 End-to-End Conversational Search for Online Shopping with Utterance Transfer EMNLP 2021 Continuously Indexed Domain Adaptation ICML 2020 Learning Compositional Koopman Operators for Model-Based Control ICLR 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning AAAI 2020 A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation COLING 2020 Exploring Logically Dependent Multi-task Learning with Causal Inference EMNLP 2020 Modeling Content Importance for Summarization with Pre-trained Language Models EMNLP 2020 ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees ICLR 2019 Trust Region-Guided Proximal Policy Optimization NIPS 2019 Truly Proximal Policy Optimization UAI 2019 Circuit-GNN: Graph Neural Networks for Distributed Circuit Design ICML 2019 TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics IJCAI 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 From Bayesian Sparsity to Gated Recurrent Nets NIPS 2017