| 2026 | AAAI | PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis. | Kang He, Boyu Chen, Yuzhe Ding, Fei Li, Chong Teng, Donghong Ji |
| 2026 | ACL | LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces. | Yukang Feng, Jianwen Sun, Zelai Yang, Jiaxin Ai, Chuanhao Li, Zizhen Li, Fanrui Zhang, Kang He, Rui Ma, Jifan Lin, Jie Sun, Yang Xiao, Sizhuo Zhou, Wenxiao Wu, Yiming Liu, Pengfei Liu, Shenglin Zhang, Kaipeng Zhang |
| 2026 | ACL | Uncertainty-Calibrated Elastic Alignment for Multimodal Sentiment Analysis with Missing Modalities. | Kang He, Yuzhe Ding, Rao Fu, Yukang Feng, Kaipeng Zhang, Yiming Liu, Fei Li, Chong Teng, Donghong Ji |
| 2025 | ACL | Zero-Shot Conversational Stance Detection: Dataset and Approaches. | Yuzhe Ding, Kang He, Bobo Li, Li Zheng, Haijun He, Fei Li, Chong Teng, Donghong Ji |
| 2025 | ACL | DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning. | Kang He, Yuzhe Ding, Haining Wang, Fei Li, Chong Teng, Donghong Ji |
| 2025 | EMNLP | LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language Models. | Kang He, Kaushik Roy |
| 2025 | ICASSP | Harnessing Dimensional Contrast and Information Compensation for Sentence Embedding Enhancement. | Kang He, Yuzhe Ding, Bobo Li, Haining Wang, Fei Li, Chong Teng, Donghong Ji |
| 2025 | IJCNN | An Effective Multimodal Rumor Detection Model via Image Semantic Enhancement and Hierarchical Fusion. | Peiwen Yan, Kang He, Bobo Li, Yujie Huang, Fei Li, Chong Teng, Donghong Ji |
| 2024 | ACL | Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis. | Haining Wang, Kang He, Bobo Li, Lei Chen, Fei Li, Xu Han, Chong Teng, Donghong Ji |
| 2024 | EMNLP | Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. | Kang He, Yinghan Long, Kaushik Roy |
| 2022 | ICCAD | Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. | Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy |
| 2021 | ISPA | Quantization improvements for LU Decomposition to Solve Linear Equations. | Lin Chen, Kang He, Hao Jiang, Roberto Barrio, Jie Liu, Tiejun Li |
| 2021 | NPC | A Class of Fast and Accurate Multi-layer Block Summation and Dot Product Algorithms. | Kang He, Roberto Barrio, Lin Chen, Hao Jiang, Jie Liu, Tongxiang Gu, Jin Qi |
| 2019 | IJCNN | Text Classification Using Gated and Transposed Attention Networks. | Kang He, Min Zhu |
| 2012 | ICECCS | Performance Analysis of Data Gathering Protocol Using PRISM. | Kang He, Hongli Yang, Yachao Feng, Yuan Liu, Zongyan Qiu |