| 2026 | AAAI | TaREx: Reinforcement Learning for Code-Driven Table Reasoning. | Fangyu Lei, Jinxiang Meng, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu |
| 2026 | AAAI | Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning. | Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao, Kang Liu |
| 2026 | AAAI | SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning. | Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu |
| 2026 | AAAI | PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation. | Kang Liu, Zhuoqi Ma, Zikang Fang, Yunan Li, Kun Xie, Qiguang Miao |
| 2026 | AAAI | RetroLM: Retrieval-Augmented KVs for Long-Context Processing. | Kun Luo, Zheng Liu, Shitao Xiao, Jiabei Chen, Hongjin Qian, Peitian Zhang, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2026 | AAAI | Bidirectional Counterfactual Distillation for Review-Based Recommendation. | Sheng Sang, Shujie Li, Shuaiyang Li, Kang Liu, Teng Li, Wei Jia, Dan Guo, Feng Xue |
| 2026 | AAAI | EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization. | Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu, Qiwei Ye |
| 2026 | AAAI | SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention. | Bohan Yu, Wei Huang, Kang Liu |
| 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 | Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation. | Yupu Hao, Zhuoran Jin, Huanxuan Liao, Kang Liu, Jun Zhao |
| 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 | Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach. | Dongqi Huang, Tong Zhou, Zhuoran Jin, Shenghui Shi, Yujiao Mao, Kang Liu, Jun Zhao, Yubo Chen |
| 2026 | ACL | LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts. | Chengyuan Jin, Ao Chang, Daojian Zeng, Wenhao Teng, Xiangwen Liao, Kang Liu, Jun Zhao, Yubo Chen |
| 2026 | ACL | Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do. | Zhuoran Jin, Kejian Zhu, Hongbang Yuan, Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | ACL | Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory. | Sirui Liang, Pengfei Cao, Jian Zhao, Wenhao Teng, Xiangwen Liao, 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 | Lightweight Haar Wavelet Subband Pruning for LLMs. | Jiang Li, Pengfei Cao, Chenxi Zhou, Tian Lan, Xiangdong Su, Kang Liu, Jun Zhao, Guanglai Gao |
| 2026 | ACL | NEAT: Neuron-Based Early Exit for Large Reasoning Models. | Kang Liu, YongKang Liu, Xiaocui Yang, Peidong Wang, Wen Zhang, Shi Feng, Yifei Zhang, Daling Wang |
| 2026 | ACL | GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks. | Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2026 | ACL | Reinforcing Agentic Search Via Reward Density Optimization. | Kun Luo, Hongjin Qian, Zheng Liu, Ziyi Xia, Shitao Xiao, Zhao Cao, Siqi Bao, Jun Zhao, Kang Liu |
| 2026 | ACL | Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression. | Miao Lu, Weiwei Sun, Weihua Du, Zhan Ling, Xuesong Yao, Kang Liu, Jiecao Chen |
| 2026 | ACL | Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | ACL | Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models. | Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu |
| 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 |
| 2026 | ACL | R³A: Reinforced Reasoning for Relevance Assessment for RAG in User-Generated Content Platforms. | Xiaowei Yuan, Lei Jin, Haoxin Zhang, Ziyang Huang, Yan Gao, Yi Wu, Yao Hu, Jun Zhao, Kang Liu |
| 2026 | ACL | Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMs. | Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, Daojian Zeng, Kang Liu, Jun Zhao |
| 2026 | ACL | From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2026 | ACL | Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2026 | DASFAA | Legal-AP: A Framework to Enhance LLM's Legal Reasoning via Knowledge Augmentation and Adapter-Wise Parametric Fusion. | Ao Chang, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | DATE | Lithography Hotspot Detection for Complex Non-Manhattan Layouts via Graph Neural Network. | Bohao Li, Ranran Liu, Yumeng Liu, Cong Jiang, Kang Liu, Bei Yu, Kun Ren, Qi Sun, Cheng Zhuo |
| 2026 | ICDCS | A Robust and Secure Decentralized Handover Authentication Scheme for HetNets. | Wenhao Wang, Yu Li, Minze Xu, Kang Liu, Yuan Zhang, Sheng Zhong |
| 2026 | IWQoS | Taming GPU Inference Variability with Risk-Aware Scheduling and Dynamic Kernel Segments. | Mingyuan Ding, Guangping Xu, Kang Liu, Junhui Li, Lei Yang, Yunjie Li |
| 2025 | AAAI | CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. | Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2025 | AAAI | Adaptive Dual Guidance Knowledge Distillation. | Tong Li, Long Liu, Kang Liu, Xin Wang, Bo Zhou, Hongguang Yang, Kai Lu |
| 2025 | AAAI | Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. | Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models. | Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ACL | The Knowledge Microscope: Features as Better Analytical Lenses than Neurons. | Yuheng Chen, Pengfei Cao, Kang Liu, Jun Zhao |
| 2025 | ACL | Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval. | Jiabei Chen, Guang Liu, Shizhu He, Kun Luo, Yao Xu, Jun Zhao, Kang Liu |
| 2025 | ACL | Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate. | Ziyang Huang, Wangtao Sun, Jun Zhao, Kang Liu |
| 2025 | ACL | RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment. | Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness. | Jiachun Li, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models. | Jiaxiang Liu, Boxuan Xing, Chenhao Yuan, Chenxiang Zhang, Di Wu, Xiusheng Huang, Haida Yu, Chuhan Lang, Pengfei Cao, Jun Zhao, Kang Liu |
| 2025 | ACL | A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction. | Jiajun Shen, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation. | Jiajun Shen, Tong Zhou, Yubo Chen, Delai Qiu, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ACL | Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models. | Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao |
| 2025 | ACL | Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing. | Jiakuan Xie, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 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 | COLING | Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ COLING 2025. | Kang Liu, Yangqiu Song, Zhen Han, Rafet Sifa, Shizhu He, Yunfei Long |
| 2025 | COLING | Towards Adaptive Mechanism Activation in Language Agent. | Ziyang Huang, Jun Zhao, Kang Liu |
| 2025 | COLING | SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. | Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2025 | COLING | Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. | Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | COLING | From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. | Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | CVPR | Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation. | Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao |
| 2025 | DAC | Generalizable Lithographic Hotspot Detection Using Asynchronous Meta-Learning with Only One Shot. | Cong Jiang, Yujia Wang, Dan Feng, Haoyu Yang, Kang Liu |
| 2025 | DATE | Location is All You Need: Efficient Lithographic Hotspot Detection Using Only Polygon Locations. | Yujia Wang, Jiaxing Wang, Dan Feng, Yuzhe Ma, Kang Liu |
| 2025 | EMNLP | MotivGraph-SoIQ: Integrating Motivational Knowledge Graphs and Socratic Dialogue for Enhanced LLM Ideation. | Xinping Lei, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | EMNLP | Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge Sharing. | Cunli Mao, Xiaofei Gao, Ran Song, Shizhu He, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2025 | EMNLP | KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model. | Shun Wu, Di Wu, Wangtao Sun, Ziyang Huang, Xiaowei Yuan, Kun Luo, Xueyou Zhang, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | EMNLP | Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning. | Chengfeng Zhao, Shizhu He, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu |
| 2025 | EMNLP | M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model. | Yang Zhou, Pengfei Cao, Yubo Chen, Qingbin Liu, Dianbo Sui, Xi Chen, Kang Liu, Jun Zhao |
| 2025 | GLOBECOM | Efficient and Privacy-Preserving Collaborative Driving for Accurate Vehicle Positioning. | ZhiQiang Ru, Kang Liu, Boyang Zhou, Siqin Tan, Yuan Zhang, Sheng Zhong |
| 2025 | ICA3PP | HT-DLC: A Data Layout and Computing Design for Logic-in-Memory Convolution with High Throughput. | Ziyi Bo, Nuo Xu, Kang Liu, Anning Zhao, Chenghao Tan, Libo Huang |
| 2025 | ICCV | Local Dense Logit Relations for Enhanced Knowledge Distillation. | Liuchi Xu, Kang Liu, Jinshuai Liu, Lu Wang, Lisheng Xu, Jun Cheng |
| 2025 | ICDE | Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering. | Jiaxiang Liu, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu |
| 2025 | ICLR | Knowledge Localization: Mission Not Accomplished? Enter Query Localization! | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ICLR | Capability Localization: Capabilities Can be Localized rather than Individual Knowledge. | Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Jun Zhao, Kang Liu |
| 2025 | ICLR | MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models. | Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ICML | Enhancing Logits Distillation with Plug&Play Kendall's τ Ranking Loss. | Yuchen Guan, Runxi Cheng, Kang Liu, Chun Yuan |
| 2025 | IJCNN | Self-supervised scale and affine invariant network for image corner detection and description. | Kang Liu, Yali Zhao, Jin Lu |
| 2025 | INDIN | Hierarchical-Controlled Robot Visual Navigation System Using Line Segment-based Perspective Mapping. | Yifei Zhang, Kang Liu, Yefeng Yang, Wenyu Yang, Shiyuan Wang, Chih-Yung Wen |
| 2024 | AAAI | Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. | Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. | Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2024 | ACL | Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | ACL | Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. | Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao |
| 2024 | ACL | Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. | Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu |
| 2024 | ACL | ItD: Large Language Models Can Teach Themselves Induction through Deduction. | Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu |
| 2024 | ACL | MULFE: A Multi-Level Benchmark for Free Text Model Editing. | Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 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 | ACL | ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. | Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan |
| 2024 | ASPDAC | LOSSS-Logic Synthesis based on Several Stateful logic gates for high time-efficient computing. | Yihong Hu, Nuo Xu, Chaochao Feng, Wei Tong, Kang Liu, Liang Fang |
| 2024 | ASPDAC | APPLE: An Explainer of ML Predictions on Circuit Layout at the Circuit-Element Level. | Tao Zhang, Haoyu Yang, Kang Liu, Zhiyao Xie |
| 2024 | CIKM | Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. | Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2024 | COLING | NutFrame: Frame-based Conceptual Structure Induction with LLMs. | Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao |
| 2024 | COLING | Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. | Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. | Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao |
| 2024 | COLING | Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. | Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | Continual Few-shot Event Detection via Hierarchical Augmentation Networks. | Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. | Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao |
| 2024 | CVPR | Efficient Multi-Scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring. | Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu |
| 2024 | DAC | CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. | Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma |
| 2024 | ECCV | Boosting Pose Estimators via Cross-Representation Distillation. | Kang Liu, Zhendong Yang, Jingyun Zhang, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo |
| 2024 | EMNLP | AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. | Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao |
| 2024 | EMNLP | DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. | Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao 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 | On the In-context Generation of Language Models. | Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu |
| 2024 | EMNLP | ABSEval: An Agent-based Framework for Script Evaluation. | Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu |
| 2024 | EMNLP | LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao |
| 2024 | EMNLP | Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. | Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | EMNLP | Does Large Language Model Contain Task-Specific Neurons? | Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu |
| 2024 | EMNLP | Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. | Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | EMNLP | KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model. | Shun Wu, Di Wu, Kun Luo, Xueyou Zhang, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. | Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu |
| 2024 | EMNLP | Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. | Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | EMNLP | Improving Zero-shot LLM Re-Ranker with Risk Minimization. | Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu |
| 2024 | ICASSP | Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | ICLR | SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings. | Kang Liu |
| 2024 | ICLR | Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. | Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao |
| 2024 | ICML | DFD: Distilling the Feature Disparity Differently for Detectors. | Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo |
| 2024 | IJCAI | Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. | Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo |
| 2024 | IJCAI | Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. | Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2024 | INDIN | ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality. | Gaoshan Bi, Yu Zhang, Qing Xue, Yang Li, Zhipeng Yuan, Kang Liu, Tong Liu, Po Yang |
| 2024 | INDIN | FLARES: A Framework for Large-Scale Agent-Based Rapid Epidemic Simulation. | Ruoling Peng, Kang Liu, Po Yang |
| 2024 | INDIN | Advancing Agricultural Decision-Making with A Multi-Dimensional Evaluation of Large Language Models for Sustainable Pest Management. | Shanglong Yang, Zhipeng Yuan, Shunbao Li, Ruoling Peng, Kang Liu, Po Yang |
| 2024 | IGARSS | Diffusion-Based Generative Self-Supervised Model for Few-Shot PolSAR Image Classification. | Kang Liu, Zuzheng Kuang, Shirou Jing, Haixia Bi, Yaochen Li, Chen Xu |
| 2024 | KDD | TSC: A Simple Two-Sided Constraint against Over-Smoothing. | Furong Peng, Kang Liu, Xuan Lu, Yuhua Qian, HongRen Yan, Chao Ma |
| 2024 | MDM | Deciphering Human Mobility: Inferring Semantics of Trajectories with Large Language Models. | Yuxiao Luo, Zhongcai Cao, Xin Jin, Kang Liu, Ling Yin |
| 2024 | MICCAI | Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. | Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao |
| 2023 | AAAI | Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. | Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | AAAI | Event Process Typing via Hierarchical Optimal Transport. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | ACL | EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. | Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao |
| 2023 | ACL | Interpreting Sentiment Composition with Latent Semantic Tree. | Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu |
| 2023 | ACL | A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. | Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao |
| 2023 | ACL | S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. | Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu |
| 2023 | ACL | Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. | Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen |
| 2023 | ACL | Learning with Partial Annotations for Event Detection. | Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu, Zhe Zhao |
| 2023 | ACL | ParaLS: Lexical Substitution via Pretrained Paraphraser. | Jipeng Qiang, Kang Liu, Yun Li, Yunhao Yuan, Yi Zhu |
| 2023 | ACL | Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. | Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2023 | ACL | Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. | Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao |
| 2023 | CoNLL | On the Effects of Structural Modeling for Neural Semantic Parsing. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | EACL | Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. | Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | ECAI | Multilingual Lexical Simplification via Paraphrase Generation. | Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua |
| 2023 | EMNLP | Event Ontology Completion with Hierarchical Structure Evolution Networks. | Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. | Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. | Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao |
| 2023 | EMNLP | DiffusionSL: Sequence Labeling via Tag Diffusion Process. | Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu |
| 2023 | EMNLP | Generative Calibration for In-context Learning. | Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu |
| 2023 | EMNLP | InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. | Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Chinese Lexical Substitution: Dataset and Method. | Jipeng Qiang, Kang Liu, Ying Li, Yun Li, Yi Zhu, Yun-Hao Yuan, Xiaocheng Hu, Xiaoye Ouyang |
| 2023 | EMNLP | ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. | Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu |
| 2023 | EMNLP | MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. | Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu |
| 2023 | EMNLP | Large Language Models are Better Reasoners with Self-Verification. | Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. | Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. | Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu |
| 2023 | EMNLP | ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. | Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao |
| 2023 | GLOBECOM | FBMS: Friendliness Balancing Based Multipath Scheduling for Differential Video Streaming. | Ziheng Xu, Wei Quan, Mingyuan Liu, Nan Cheng, Xue Zhang, Kang Liu, Deyun Gao |
| 2023 | ICASSP | Meta++ Network for Few-Shot Aerospace Crack Segmentation. | Chengyuan Xu, Kang Liu, Xuelong Li |
| 2023 | ICASSP | Learning to Build Reasoning Chains by Reliable Path Retrieval. | Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao |
| 2023 | ICCD | Accelerating Persistent Hash Indexes via Reducing Negative Searches. | Renzhi Xiao, Hong Jiang, Dan Feng, Yuchong Hu, Wei Tong, Kang Liu, Yucheng Zhang, Xueliang Wei, Zhengtao Li |
| 2023 | ICONIP | Bloomfilter-Based Practical Kernelization Algorithms for Minimum Satisfiability. | Chao Xu, Liting Dai, Kang Liu |
| 2023 | IJCNLP | Multi-Target Semantic Parsing with Collaborative Deliberation Network. | Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | INDIN | Automatic Generation of Visual Concept-based Explanations for Pest Recognition. | Zhipeng Yuan, Kang Liu, Shunbao Li, Po Yang |
| 2022 | ACL | Incremental Intent Detection for Medical Domain with Contrast Replay Networks. | Guirong Bai, Shizhu He, Kang Liu, Jun Zhao |
| 2022 | ACL | Logic Traps in Evaluating Attribution Scores. | Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao |
| 2022 | ACL | Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. | Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu |
| 2022 | CIKM | PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction. | Yuancheng Sun, Yimeng Chen, Weizhi Ma, Wenhao Huang, Kang Liu, Zhiming Ma, Wei-Ying Ma, Yanyan Lan |
| 2022 | COLING | CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts. | Jia Fu, Sirui Li, Hui Ming Yuan, Zhucong Li, Zhen Gan, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2022 | COLING | Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning. | Xiusheng Huang, Hang Yang, Yubo Chen, Jun Zhao, Kang Liu, Weijian Sun, Zuyu Zhao |
| 2022 | COLING | CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers. | Yiming Ju, Weikang Wang, Yuanzhe Zhang, Suncong Zheng, Kang Liu, Jun Zhao |
| 2022 | COLING | Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. | Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu |
| 2022 | COLING | Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. | Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao |
| 2022 | COLING | Generating Temporally-ordered Event Sequences via Event Optimal Transport. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li |
| 2022 | COLING | Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach. | Bo Zhou, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Qiuxia Li |
| 2022 | CSCWD | POI Recommendation Algorithm based on Region Transfer Collaborative Filtering. | Kang Liu, Wenguang Zheng, Yingyuan Xiao, Xingyu Zhai |
| 2022 | CSCWD | Point-of-Interest Recommendation System based on DeepWalk and Tensor Decomposition. | Xingyu Zhai, Wenguang Zheng, Yingyuan Xiao, Kang Liu |
| 2022 | EMNLP | A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2022 | EMNLP | CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. | Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao |
| 2022 | EMNLP | CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models. | Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao |
| 2022 | EMNLP | MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. | Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao |
| 2022 | HPSR | RPQ: Resilient-Priority Queue Scheduling for Delay-Sensitive Applications. | Xinqiao Li, Mingyuan Liu, Nan Cheng, Kang Liu, Wei Quan, Liang Guo, Yajuan Qin |
| 2022 | INFOCOM | DRL-Based Fountain Codes for Concurrent Multipath Transfer in 6G Networks. | Chengxiao Yu, Wei Quan, Kang Liu, Mingyuan Liu, Ziheng Xu, Hongke Zhang |
| 2021 | AAAI | Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. | Kang Liu, Benjamin Tan, Siddharth Garg |
| 2021 | ACL | Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng |
| 2021 | ACL | Alignment Rationale for Natural Language Inference. | Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu |
| 2021 | ACL | A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. | Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao |
| 2021 | ACL | Document-level Event Extraction via Parallel Prediction Networks. | Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | ACL | Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. | Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu |
| 2021 | ACL | LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | ACL | Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | ASPDAC | Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. | Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young |
| 2021 | CCS | NNoculation: Catching BadNets in the Wild. | Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg |
| 2021 | CIKM | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | CIKM | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. | Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | CIKM | Multi-Task Self-Supervised Learning for Script Event Prediction. | Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li |
| 2021 | EACL | Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents. | Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao |
| 2021 | EMNLP | Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. | Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations. | Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao |
| 2021 | EMNLP | Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. | Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Distantly Supervised Relation Extraction in Federated Settings. | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Set Generation Networks for End-to-End Knowledge Base Population. | Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | EMNLP | Biomedical Concept Normalization by Leveraging Hypernyms. | Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu |
| 2021 | EMNLP | CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset. | Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi |
| 2021 | IECON | An Isolated High Step-Up Three Switch Quasi-Z-Source DC-DC Converter. | Kang Liu, Xiaoquan Zhu, Kaiwen Ye, Liming Jiang |
| 2020 | AAAI | Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding. | Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
| 2020 | ACL | HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | ACL | Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. | Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | ACL | MIE: A Medical Information Extractor towards Medical Dialogues. | Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2020 | ACL | Connecting Embeddings for Knowledge Graph Entity Typing. | Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang |
| 2020 | COLING | Pre-trained Language Model Based Active Learning for Sentence Matching. | Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie |
| 2020 | COLING | Graph-Based Knowledge Integration for Question Answering over Dialogue. | Jian Liu, Dianbo Sui, Kang Liu, Jun Zhao |
| 2020 | COLING | KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision. | Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao |
| 2020 | DATE | Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots. | Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg |
| 2020 | EMNLP | How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization. | Jian Liu, Yubo Chen, Kang Liu, Yantao Jia, Zhicheng Sheng |
| 2020 | EMNLP | Event Extraction as Machine Reading Comprehension. | Jian Liu, Yubo Chen, Kang Liu, Wei Bi, Xiaojiang Liu |
| 2020 | EMNLP | Scene Restoring for Narrative Machine Reading Comprehension. | Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng |
| 2020 | IJCNLP | Reconstructing Event Regions for Event Extraction via Graph Attention Networks. | Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yubo Chen, Taifeng Wang, Jun Zhao |
| 2020 | IGARSS | Interrupted FMCW SAR Imaging via Sparse Reconstruction. | Kang Liu, Weidong Yu |
| 2019 | AAAI | Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. | Shizhu He, Kang Liu, Weiting An |
| 2019 | AAAI | Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection. | Jian Liu, Yubo Chen, Kang Liu |
| 2019 | ACL | Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. | Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2019 | ACL | AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing. | Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2019 | CoNLL | Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
| 2019 | DAC | Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. | Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg |
| 2019 | DASC | Many-to-Many Collaborator Recommendation Based on Matching Markets Theory. | Xiangjie Kong, Linyan Wen, Jing Ren, Mingliang Hou, Minghao Zhang, Kang Liu, Feng Xia |
| 2019 | EMNLP | Neural Cross-Lingual Event Detection with Minimal Parallel Resources. | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2019 | EMNLP | Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
| 2019 | EMNLP | Machine Reading Comprehension Using Structural Knowledge Graph-aware Network. | Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao |
| 2019 | EMNLP | Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network. | Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2019 | EMNLP | Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. | Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao |
| 2019 | ICTIR | Unsupervised Story Comprehension with Hierarchical Encoder-Decoder. | Bingning Wang, Ting Yao, Qi Zhang, Jingfang Xu, Kang Liu, Zhixing Tian, Jun Zhao |
| 2019 | ISPA | Perishable Digital Goods Trading Mechanism for Blockchain- Based Vehicular Network. | Rui Xi, Kang Liu, Shuo Liu, Wuhui Chen, Shenghui Li |
| 2018 | AAAI | Event Detection via Gated Multilingual Attention Mechanism. | Jian Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2018 | AAAI | Large Scaled Relation Extraction With Reinforcement Learning. | Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | ACL | Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. | Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | ACL | DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data. | Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao |
| 2018 | CIKM | Deep Semantic Hashing with Multi-Adversarial Training. | Bingning Wang, Kang Liu, Jun Zhao |
| 2018 | COLING | Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. | Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | DSN | Localizing Function Errors in Mobile Apps with User Reviews. | Le Yu, Jiachi Chen, Hao Zhou, Xiapu Luo, Kang Liu |
| 2018 | EMNLP | Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. | Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia |
| 2018 | EMNLP | Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2018 | IJCAI | Curriculum Learning for Natural Answer Generation. | Cao Liu, Shizhu He, Kang Liu, Jun Zhao |
| 2018 | ICRA | A Monocular SLAM System Leveraging Structural Regularity in Manhattan World. | Haoang Li, Jian Yao, Jean-Charles Bazin, Xiaohu Lu, Yazhou Xing, Kang Liu |
| 2017 | AAAI | Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. | Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| 2017 | ACL | Automatically Labeled Data Generation for Large Scale Event Extraction. | Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao |
| 2017 | ACL | An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. | Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao |
| 2017 | ACL | Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. | Shizhu He, Cao Liu, Kang Liu, Jun Zhao |
| 2017 | ACL | Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms. | Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao |
| 2017 | ACL | Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors. | Xuepeng Wang, Kang Liu, Jun Zhao |
| 2017 | EACL | Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? | Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao |
| 2017 | IJCAI | Conditional Generative Adversarial Networks for Commonsense Machine Comprehension. | Bingning Wang, Kang Liu, Jun Zhao |
| 2017 | IJCNLP | IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. | Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei |
| 2016 | AAAI | Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. | Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | AAAI | A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. | Shulin Liu, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | AAAI | A Joint Model for Question Answering over Multiple Knowledge Bases. | Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2016 | ACL | Leveraging FrameNet to Improve Automatic Event Detection. | Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao |
| 2016 | ACL | Inner Attention based Recurrent Neural Networks for Answer Selection. | Bingning Wang, Kang Liu, Jun Zhao |
| 2016 | DASFAA | Triangle-Based Representative Possible Worlds of Uncertain Graphs. | Shaoying Song, Zhaonian Zou, Kang Liu |
| 2016 | EMNLP | Learning to Represent Review with Tensor Decomposition for Spam Detection. | Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | EMNLP | Mining Inference Formulas by Goal-Directed Random Walks. | Zhuoyu Wei, Jun Zhao, Kang Liu |
| 2016 | IJCAI | Employing External Rich Knowledge for Machine Comprehension. | Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao |
| 2016 | IGARSS | New results about quantum scattering characteristics of typical targets. | Kang Liu, Yanwen Jiang, Xiang Li, Yongqiang Cheng, Yuliang Qin |
| 2015 | AAAI | Recurrent Convolutional Neural Networks for Text Classification. | Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao |
| 2015 | ACL | Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks. | Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, Jun Zhao |
| 2015 | ACL | Knowledge Graph Embedding via Dynamic Mapping Matrix. | Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao |
| 2015 | ACL | Sentiment-Aspect Extraction based on Restricted Boltzmann Machines. | Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao, Gerard de Melo |
| 2015 | CIKM | Learning to Represent Knowledge Graphs with Gaussian Embedding. | Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao |
| 2015 | CIKM | Large-scale Knowledge Base Completion: Inferring via Grounding Network Sampling over Selected Instances. | Zhuoyu Wei, Jun Zhao, Kang Liu, Zhenyu Qi, Zhengya Sun, Guanhua Tian |
| 2015 | EMNLP | Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks. | Daojian Zeng, Kang Liu, Yubo Chen, Jun Zhao |
| 2015 | ISKE | A Survey on Gaze Estimation. | Xiaomeng Wang, Kang Liu, Xu Qian |
| 2014 | ACL | Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking. | Kang Liu, Liheng Xu, Jun Zhao |
| 2014 | ACL | Product Feature Mining: Semantic Clues versus Syntactic Constituents. | Liheng Xu, Kang Liu, Siwei Lai, Jun Zhao |
| 2014 | COLING | Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction. | Yang Liu, Kang Liu, Liheng Xu, Jun Zhao |
| 2014 | COLING | Joint Opinion Relation Detection Using One-Class Deep Neural Network. | Liheng Xu, Kang Liu, Jun Zhao |
| 2014 | COLING | Relation Classification via Convolutional Deep Neural Network. | Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, Jun Zhao |
| 2014 | EMNLP | Question Answering over Linked Data Using First-order Logic. | Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao |
| 2013 | ACL | Syntactic Patterns versus Word Alignment: Extracting Opinion Targets from Online Reviews. | Kang Liu, Liheng Xu, Jun Zhao |
| 2013 | ACL | Mining Opinion Words and Opinion Targets in a Two-Stage Framework. | Liheng Xu, Kang Liu, Siwei Lai, Yubo Chen, Jun Zhao |
| 2013 | IJCAI | Opinion Target Extraction Using Partially-Supervised Word Alignment Model. | Kang Liu, Heng Li Xu, Yang Liu, Jun Zhao |
| 2013 | IJCAI | Cross Lingual Entity Linking with Bilingual Topic Model. | Tao Zhang, Kang Liu, Jun Zhao |
| 2013 | IJCNLP | A Weakly Supervised Bayesian Model for Violence Detection in Social Media. | Amparo Elizabeth Cano Basave, Yulan He, Kang Liu, Jun Zhao |
| 2013 | IJCNLP | Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge. | Yang Liu, Fang Liu, Siwei Lai, Kang Liu, Guangyou Zhou, Jun Zhao |
| 2012 | CIKM | Exploring the existing category hierarchy to automatically label the newly-arising topics in cQA. | Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao |
| 2012 | CIKM | Topic-sensitive probabilistic model for expert finding in question answer communities. | Guangyou Zhou, Siwei Lai, Kang Liu, Jun Zhao |
| 2012 | CIKM | Joint relevance and answer quality learning for question routing in community QA. | Guangyou Zhou, Kang Liu, Jun Zhao |
| 2012 | COLING | Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering. | Guangyou Zhou, Kang Liu, Jun Zhao |
| 2012 | EMNLP | Opinion Target Extraction Using Word-Based Translation Model. | Kang Liu, Liheng Xu, Jun Zhao |
| 2011 | ACL | Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives. | Guangyou Zhou, Li Cai, Jun Zhao, Kang Liu |
| 2011 | ACL | Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing. | Guangyou Zhou, Jun Zhao, Kang Liu, Li Cai |
| 2011 | CIKM | Large-scale question classification in cQA by leveraging Wikipedia semantic knowledge. | Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao |
| 2011 | IJCNLP | Learning the Latent Topics for Question Retrieval in Community QA. | Li Cai, Guangyou Zhou, Kang Liu, Jun Zhao |
| 2011 | IJCNLP | Improving Dependency Parsing with Fined-Grained Features. | Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao |
| 2010 | IGARSS | Building height extraction via a deterministic approach using a TerraSAR-X data stack. | Kang Liu, Timo Balz, Mingsheng Liao |
| 2009 | ACL | A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment. | Fan Yang, Jun Zhao, Kang Liu |
| 2009 | CAIP | Minimized Database of Unit Selection in Visual Speech Synthesis without Loss of Naturalness. | Kang Liu, Jrn Ostermann |
| 2009 | CIKM | Cross-domain sentiment classification using a two-stage method. | Kang Liu, Jun Zhao |
| 2008 | ACL | Chinese-English Backward Transliteration Assisted with Mining Monolingual Web Pages. | Fan Yang, Jun Zhao, Bo Zou, Kang Liu, Feifan Liu |
| 2008 | EMNLP | Adding Redundant Features for CRFs-based Sentence Sentiment Classification. | Jun Zhao, Kang Liu, Gen Wang |
| 2008 | Interspeech | Realistic facial animation system for interactive services. | Kang Liu, Jrn Ostermann |
| 2006 | ICASSP | Parameterization of Mouth Images by LLE and PCA for Image-Based Facial Animation. | Kang Liu, Axel Weissenfeld, Jrn Ostermann |