AFB: Improving Communication Load Forecasting Accuracy with Adaptive Feature Boosting. - Chengming Hu; Xi Chen 009; Ju Wang 003; Hang Li; Jikun Kang; Yi Tian Xu; Xue Liu 004; Di Wu 044; Seowoo Jang; Intaik Park; Gregory Dudek (GLOBECOM, 2021)

Load Balancing for Communication Networks via Data-Efficient Deep Reinforcement Learning. - Di Wu 044; Jikun Kang; Yi Tian Xu; Hang Li; Jimmy Li 001; Xi Chen 009; Dmitriy Rivkin; Michael Jenkin; Taeseop Lee; Intaik Park; Xue Liu 004; Gregory Dudek (GLOBECOM, 2021)

Hierarchical Policy Learning for Hybrid Communication Load Balancing. - Jikun Kang; Xi Chen 009; Di Wu 044; Yi Tian Xu; Xue Liu 004; Gregory Dudek; Taeseop Lee; Intaik Park (ICC, 2021)

Learning Multi-Objective Curricula for Deep Reinforcement Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Chris Pal; Xue Liu 001; Jie Fu 001 (CoRR, 2021)

Learning Multi-Objective Curricula for Robotic Policy Learning. - Jikun Kang; Miao Liu; Abhinav Gupta 002; Christopher Pal; Xue (Steve) Liu; Jie Fu 001 (CoRL, 2022)

A Generalized Load Balancing Policy With Multi-Teacher Reinforcement Learning. - Jikun Kang; Ju Wang 003; Chengming Hu; Xue Liu 004; Gregory Dudek (GLOBECOM, 2022)

Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning. - Tianyi Chen 001; Shengrong Bu; Xue Liu 001; Jikun Kang; F. Richard Yu; Zhu Han 001 (IEEE Trans. Smart Grid, 2022)

Multi-Agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks. - Jikun Kang; Di Wu 044; Ju Wang 003; Ekram Hossain 001; Xue Liu 004; Gregory Dudek (ICC, 2023)

Think Before You Act: Decision Transformers with Internal Working Memory. - Jikun Kang; Romain Laroche; Xindi Yuan; Adam Trischler; Xue Liu 004; Jie Fu (CoRR, 2023)

Think Before You Act: Decision Transformers with Working Memory. - Jikun Kang; Romain Laroche; Xingdi Yuan; Adam Trischler; Xue Liu 001; Jie Fu 001 (ICML, 2024)

Incentive Temperature Control for Green Colocation Data Centers via Reinforcement Learning. - Rongrong Wang; Duc Van Le; Jikun Kang; Rui Tan 001; Xue Liu 001 (IWQoS, 2024)

LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models. - Qianxi Li; Yingyue Cao; Jikun Kang; Tianpei Yang; Xi Chen; Jun Jin; Matthew E. Taylor (CoRR, 2024)

MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time. - Jikun Kang; Xin Zhe Li; Xi Chen; Amirreza Kazemi; Boxing Chen (CoRR, 2024)

LM2: Large Memory Models. - Jikun Kang; Wenqi Wu; Filippos Christianos; Alex J. Chan; Fraser Greenlee; George Thomas; Marvin Purtorab; Andy Toulis (CoRR, 2025)

WebGames: Challenging General-Purpose Web-Browsing AI Agents. - George Thomas; Alex J. Chan; Jikun Kang; Wenqi Wu; Filippos Christianos; Fraser Greenlee; Andy Toulis; Marvin Purtorab (CoRR, 2025)