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Haoran Sun

30 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ ๐Ÿงญ Keyword Pioneer ๐Ÿ—บ๏ธ Taxonomy Completionist (10) ๐ŸŒˆ Renaissance Researcher (5) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿฃ Hot Topic Early Bird
๐Ÿ—บ๏ธ Taxonomy Completionist (10) ๐Ÿงญ Keyword Pioneer ๐Ÿฃ Hot Topic Early Bird ๐Ÿ† Grand Slam ๐Ÿงฌ Topic Evolution ๐Ÿ‘‘ Triple Crown ๐Ÿ—ƒ๏ธ Keyword Collector (124) โšก Prolific Year (5) ๐Ÿš€ Conference Pioneer ๐Ÿ’Ž Century Club (26) ๐Ÿ”ฅ Unstoppable (6)

Conferences

ICLR (6) NIPS (6) ICML (4) ACL (3) EMNLP (3) AAAI (2) IJCAI (2) AISTATS (1) COLING (1) EACL (1) MICCAI (1)

Research topics

Papers

H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM Agents EACL 2026 Visual and Memoryโ€“Augmented Soccer Commentary Generation ACL 2026 SD-PSFNet: Sequential and Dynamic Point Spread Function Network for Image Deraining AAAI 2026 Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field AAAI 2026 Game Theory Meets Large Language Models: A Systematic Survey IJCAI 2025 MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions ICLR 2025 Curiosity-Driven Reinforcement Learning from Human Feedback ACL 2025 Core Knowledge Deficits in Multi-Modal Language Models ICML 2025 Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs ICLR 2025 FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data EMNLP 2024 Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays MICCAI 2024 Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation IJCAI 2024 ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models NIPS 2024 Score-based Continuous-time Discrete Diffusion Models ICLR 2023 A Scalable Neural Network for DSIC Affine Maximizer Auction Design NIPS 2023 DISCS: A Benchmark for Discrete Sampling NIPS 2023 CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation ACL 2023 Discrete Langevin Samplers via Wasserstein Gradient Flow AISTATS 2023 CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation EMNLP 2023 Towards a Deep Understanding of Multilingual End-to-End Speech Translation EMNLP 2023 Any-scale Balanced Samplers for Discrete Space ICLR 2023 Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets ICML 2023 Revisiting Sampling for Combinatorial Optimization ICML 2023 Provable Learning-based Algorithm For Sparse Recovery ICLR 2022 Path Auxiliary Proposal for MCMC in Discrete Space ICLR 2022 Language Branch Gated Multilingual Neural Machine Translation COLING 2022 Optimal Scaling for Locally Balanced Proposals in Discrete Spaces NIPS 2022 Multi-task Learning of Order-Consistent Causal Graphs NIPS 2021 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NIPS 2020 Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking ICML 2020