A New Social Network Model of Online Forums. - Ting-Han Fan; Kwang-Cheng Chen (GLOBECOM, 2017)

Rumor Source Detection: A Probabilistic Perspective. - Ting-Han Fan; I-Hsiang Wang (ICASSP, 2018)

Model Imitation for Model-Based Reinforcement Learning. - Yueh-Hua Wu; Ting-Han Fan; Peter J. Ramadge; Hao Su 001 (CoRR, 2019)

A Contraction Approach to Model-based Reinforcement Learning. - Ting-Han Fan; Peter J. Ramadge (AISTATS, 2021)

Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective. - Ting-Han Fan; Peter J. Ramadge (CoRR, 2021)

Soft Actor-Critic With Integer Actions. - Ting-Han Fan; Yubo Wang (ACC, 2022)

Safety Control for Prime Focus Spectrograph. - Ting-Han Fan; Athindran Ramesh Kumar; Peter J. Ramadge (CISS, 2022)

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator. - Ting-Han Fan; Ta-Chung Chi; Alexander I. Rudnicky; Peter J. Ramadge (ICML, 2022)

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. - Ting-Han Fan; Xian Yeow Lee; Yubo Wang (L4DC, 2022)

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Peter J. Ramadge; Alexander Rudnicky (NeurIPS, 2022)

Receptive Field Alignment Enables Transformer Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Alexander I. Rudnicky (CoRR, 2022)

Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. - Ta-Chung Chi; Ting-Han Fan; Li-Wei Chen; Alexander Rudnicky; Peter J. Ramadge (ACL (2), 2023)

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis. - Ta-Chung Chi; Ting-Han Fan; Alexander Rudnicky; Peter J. Ramadge (ACL (1), 2023)

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Alexander Rudnicky; Peter J. Ramadge (EMNLP (Findings), 2023)

Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation. - Ta-Chung Chi; Ting-Han Fan; Alexander Rudnicky (NAACL-HLT (Findings), 2024)

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks. - Ting-Han Fan; Ta-Chung Chi; Alexander Rudnicky (NAACL (Short Papers), 2024)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. - Zhan Ling; Kang Liu; Kai Yan; Yifan Yang; Weijian Lin; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning. - Kai Yan; Zhan Ling; Kang Liu; Yifan Yang; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)