| 2026 | ACL | Harmonizing the Past, Present, and Future: A Null-Space Constrained Region-Specific Method for Continual Learning in LLMs. | Jinhui Chen, Shizhu He, Xingchang Yang, Huanxuan Liao, Yequan Wang, Xiangwen Liao, Wenhao Teng, Kang Liu, Jun Zhao |
| 2026 | ACL | If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs. | Siqi Fan, Xiusheng Huang, Yiqun Yao, Xuezhi Fang, Kang Liu, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang |
| 2026 | ACL | Theory-optimal Quantization Based on Flatness. | Xiusheng Huang, Zhe Li, Xuanwu Yin, Lu Wang, Yequan Wang, Dong Li, Emad Barsoum, Kang Liu |
| 2026 | ACL | Break Through the Compression Bottleneck: From Theory to Practice. | Xiusheng Huang, Lu Wang, Yequan Wang, Jun Zhao, Kang Liu |
| 2026 | ACL | Spectral Disentanglement: Rank-Aware Task Adaptation for Rehearsal-free Continual Learning in LLMs. | Huanxuan Liao, Shizhu He, Yupu Hao, Yequan Wang, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu |
| 2026 | ACL | Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs. | Wu Li, Yigeng Zhou, Zesheng Shi, Yequan Wang, Min Zhang, Jing Li |
| 2026 | ACL | EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations. | Haoqin Sun, Jinghua Zhao, Xuechen Wang, Shiwan Zhao, Jiaming Zhou, Hui Wang, Xi Yang, Yequan Wang, Yonghua Lin |
| 2026 | ACL | Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts. | Xiaowei Yuan, Ziyang Huang, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu |
| 2025 | AAAI | Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. | Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang |
| 2025 | ACL | Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency. | Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang |
| 2025 | ACL | Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling. | Junlin Li, Guodong Du, Jing Li, Sim Kuan Goh, Wenya Wang, Yequan Wang, Fangming Liu, Ho-Kin Tang, Saleh Alharbi, Daojing He, Min Zhang |
| 2025 | ACL | Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement. | Xiaowei Yuan, Zhao Yang, Ziyang Huang, Yequan Wang, Siqi Fan, Yiming Ju, Jun Zhao, Kang Liu |
| 2025 | ACL | Reflection on Knowledge Graph for Large Language Models Reasoning. | Yigeng Zhou, Wu Li, Yifan Lu, Jing Li, Fangming Liu, Meishan Zhang, Yequan Wang, Daojing He, Honghai Liu, Min Zhang |
| 2025 | ACL | ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5. | Jiaming Zhou, Shiyao Wang, Shiwan Zhao, Jiabei He, Haoqin Sun, Hui Wang, Cheng Liu, Aobo Kong, Yujie Guo, Xi Yang, Yequan Wang, Yonghua Lin, Yong Qin |
| 2025 | ICLR | Capability Localization: Capabilities Can be Localized rather than Individual Knowledge. | Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu |
| 2025 | ICML | Few-Shot Learner Generalizes Across AI-Generated Image Detection. | Shiyu Wu, Jing Liu, Jing Li, Yequan Wang |
| 2025 | IJCAI | Not All Layers of LLMs Are Necessary During Inference. | Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang |
| 2024 | AAAI | Spectral-Based Graph Neural Networks for Complementary Item Recommendation. | Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang |
| 2024 | AAAI | BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. | Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang |
| 2024 | ACL | Multimodal Reasoning with Multimodal Knowledge Graph. | Junlin Lee, Yequan Wang, Jing Li, Min Zhang |
| 2024 | ACL | Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. | Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Commonsense Knowledge Editing Based on Free-Text in LLMs. | Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Improving Zero-shot LLM Re-Ranker with Risk Minimization. | Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu |
| 2024 | ICLR | Masked Structural Growth for 2x Faster Language Model Pre-training. | Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang |
| 2024 | ICML | SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. | Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li |
| 2023 | ACL | Rethinking Document-Level Relation Extraction: A Reality Check. | Jing Li, Yequan Wang, Shuai Zhang, Min Zhang |
| 2023 | ACL | Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering. | Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao, Yequan Wang |
| 2023 | ICML | Finding Generalization Measures by Contrasting Signal and Noise. | Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan |
| 2023 | IWQoS | Multi-Layer Collaborative Bandit for Multivariate Time Series Anomaly Detection. | Weiyao Zhang, Xuying Meng, Jinyang Li, Yequan Wang, Yujun Zhang |
| 2023 | WWW | EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. | Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han |
| 2022 | COLING | CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. | Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo |
| 2022 | EMNLP | CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts. | Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng |
| 2022 | IJCAI | Interactive Information Extraction by Semantic Information Graph. | Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han |
| 2022 | KDD | Packet Representation Learning for Traffic Classification. | Xuying Meng, Yequan Wang, Runxin Ma, Haitong Luo, Xiang Li, Yujun Zhang |
| 2022 | NAACL | A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. | Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo |
| 2022 | PAKDD | Aspect-Based Sentiment Analysis Through EDU-Level Attentions. | Ting Lin, Aixin Sun, Yequan Wang |
| 2019 | CIKM | Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. | Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick |
| 2019 | WWW | Aspect-level Sentiment Analysis using AS-Capsules. | Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu |
| 2018 | WWW | Sentiment Analysis by Capsules. | Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu |
| 2016 | EMNLP | Attention-based LSTM for Aspect-level Sentiment Classification. | Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao |