conftrace_

Haipeng Chen

35 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🗃️ Keyword Collector (159) Prolific Year (8) 💎 Century Club (30) 🔥 Unstoppable (7) 📈 Trend Setter The Questioner

Conferences

AAAI (14) IJCAI (8) UAI (4) EMNLP (3) ICLR (3) CVPR (1) ICCV (1) NIPS (1)

Papers

Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos AAAI 2026 Re-SpS: A Reinforcement Learning Approach to Speculative Sampling AAAI 2026 Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval AAAI 2026 VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation AAAI 2026 Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation AAAI 2026 Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning ICLR 2025 Skeleton-based Action Recognition with Non-linear Dependency Modeling and Hilbert-Schmidt Independence Criterion AAAI 2025 Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation AAAI 2025 HVIS: A Human-like Vision and Inference System for Human Motion Prediction AAAI 2025 Population Aware Diffusion for Time Series Generation AAAI 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games? ICLR 2025 Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval IJCAI 2025 Decentralized Online Learning in General-Sum Stackelberg Games UAI 2024 RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024 S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic ICLR 2024 Rethinking Human Motion Prediction with Symplectic Integral CVPR 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024 Complex Contagion Influence Maximization: A Reinforcement Learning Approach IJCAI 2023 Discrepancy-Guided Reconstruction Learning for Image Forgery Detection IJCAI 2023 Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization IJCAI 2023 Using Public Data to Predict Demand for Mobile Health Clinics AAAI 2022 Sequential Vaccine Allocation with Delayed Feedback IJCAI 2022 Micronutrient Deficiency Prediction via Publicly Available Satellite Data AAAI 2022 Robust reinforcement learning under minimax regret for green security UAI 2021 Contingency-aware influence maximization: A reinforcement learning approach UAI 2021 Motion Prediction Using Trajectory Cues ICCV 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction AAAI 2021 Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning NIPS 2021 EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021 Learning Behaviors with Uncertain Human Feedback UAI 2020 Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks IJCAI 2019 An ensemble CNN method for biomedical entity normalization EMNLP 2019 VEST: A System for Vulnerability Exploit Scoring & Timing IJCAI 2019 FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data IJCAI 2019