Chi Han

According to our database, Chi Han authored at least 29 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robust sensing matrix design for the Orthogonal Matching Pursuit algorithm in compressive sensing.

Bo Li, Shuai Zhang, Liang Zhang, Xiaobing Shang, Chi Han, Yao Zhang

Signal Process., 2025

2024

Large Language Models on Graphs: A Comprehensive Survey.

Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han

IEEE Trans. Knowl. Data Eng., December, 2024

Deep Reinforcement Learning with Local Attention for Single Agile Optical Satellite Scheduling Problem.

Zheng Liu, Wei Xiong, Chi Han, Xiaolan Yu

Sensors, October, 2024

A multi-modal multi-objective evolutionary algorithm based on dual decomposition and subset selection.

Minghui Xiong, Wei Xiong, Zheng Liu, Yali Liu, Chi Han

Swarm Evol. Comput., February, 2024

Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play.

Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji

CoRR, 2024

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders.

Cheng Li, May Fung, Qingyun Wang, Chi Han, Manling Li, Jindong Wang, Heng Ji

CoRR, 2024

Towards LifeSpan Cognitive Systems.

Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley

CoRR, 2024

Eliminating Position Bias of Language Models: A Mechanistic Approach.

Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji

CoRR, 2024

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning.

Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang

CoRR, 2024

A Novel Robot Finger Geometry for Parallel Self-Adaptive Grasp with Rack-Crank-Slider Mechanism.

Kehan Feng, Zhengping Duan, Chi Han, Zihan Guo, Wenzeng Zhang

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Underactuated Finger Topology for Humanoid Robot Grasp.

Kehan Feng, Zhengping Duan, Chi Han, Zihan Guo, Wenzeng Zhang

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

Why Does New Knowledge Create Messy Ripple Effects in LLMs?

Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Word Embeddings Are Steers for Language Models.

Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Load-Balancing Routing for LEO Satellite Network with Distributed Hops-Based Back-Pressure Strategy.

Chi Han, Wei Xiong, Ronghuan Yu

Sensors, December, 2023

InfoPattern: Unveiling Information Propagation Patterns in Social Media.

Chi Han, Jialiang Xu, Manling Li, Hanning Zhang, Tarek F. Abdelzaher, Heng Ji

CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.

Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

CoRR, 2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.

Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

CoRR, 2023

LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space.

Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji

CoRR, 2023

In-Context Learning of Large Language Models Explained as Kernel Regression.

Chi Han, Ziqi Wang, Han Zhao, Heng Ji

CoRR, 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.

Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji

CoRR, 2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.

Tianci Xue, Ziqi Wang, Zhenhailong Wang, Chi Han, Pengfei Yu, Heng Ji

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning.

Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.

Cheng Qian, Chi Han, Yi Ren Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defining a New NLP Playground.

Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.

Chi Han, Hengzhi Pei, Xinya Du, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Learning Shared Semantic Space for Speech-to-Text Translation.

Chi Han, Mingxuan Wang, Heng Ji, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2019

Visual Concept-Metaconcept Learning.

Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019