| 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 | 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 | Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination. | Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Huijie Lv, Ming Zhang, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang |
| 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 | 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 | 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 | 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 | 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 | Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment. | Yuming Yang, Mingyoung Lai, Wanxu Zhao, Xiaoran Fan, Zhiheng Xi, Mingqi Wu, Chiyue Huang, Jun Zhao, Haijun Lv, Jian Tong, Yunhua Zhou, Yicheng Zou, Qipeng Guo, Tao Gui, Qi Zhang, Xuanjing Huang |
| 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 | CHI | Child-Centred AI-Mediated Collaborative Agency by Design. | Vidminas Vizgirda, Isobel Voysey, Zaki Pauzi, Najme Babai, Eva Durall Gazulla, Jane Waite, Aya Atabey, Sarah Turner, Manolis Mavrikis, Jun Zhao |
| 2026 | CHI | Attitudes, Imagined Roles, and Governance Boundaries for AI in Decentralized Social Media. | Zhilin Zhang, Jun Zhao, Ge Wang, Sruthi Viswanathan, Tala Jo Ross, Samantha-Kaye Johnston, Diyi Liu, Hayoun Noh, Max Van Kleek, Nigel Shadbolt |
| 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 |
| 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 | 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 | My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis. | Jian Liao, Yu Feng, Yujin Zheng, Jun Zhao, Suge Wang, Jianxing Zheng |
| 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 | ACL | Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis. | Kejian Zhu, Shangqing Tu, Zhuoran Jin, Lei Hou, Juanzi Li, Jun Zhao |
| 2025 | ASIACRYPT | When KGC Meets Curator: New Paradigm of Registered ABE and FE. | Ziqi Zhu, Jun Zhao, Kai Zhang, Junqing Gong, Haifeng Qian |
| 2025 | CHI | FamiData Hub: A Speculative Design Exploration with Families on Smart Home Datafication. | Ge Wang, Jun Zhao, Max Van Kleek, Roy Pea, Nigel Shadbolt |
| 2025 | CHI | Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond. | Lin Kyi, Amruta Mahuli, Michael Six Silberman, Reuben Binns, Jun Zhao, Asia J. Biega |
| 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 | 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 | 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 |
| 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 | AAAI | A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction. | Ruili Pu, Yang Li, Jun Zhao, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng |
| 2024 | ACISP | AegisDB: Scalable Blockchain Database with Secure Decentralised Load Balancing. | Jun Zhao, Jiangshan Yu, Xingliang Yuan, Joseph K. Liu |
| 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 | Unveiling Linguistic Regions in Large Language Models. | Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | CEC | Ingredient Planning for Copper Industry: A Deep Reinforcement Learning-Based ε-Constrained Multi-Objective Optimization Framework. | Xuerui Zhang, Zhongyang Han, Zhiyuan Wang, Jun Zhao, Wei Wang |
| 2024 | CHI | CHAITok: A Proof-of-Concept System Supporting Children's Sense of Data Autonomy on Social Media. | Ge Wang, Jun Zhao, Samantha-Kaye Johnston, Zhilin Zhang, Max Van Kleek, Nigel Shadbolt |
| 2024 | CHI | The Second Workshop on Child-Centered AI Design (CCAI). | Aya Atabey, Ge Wang, Samantha-Kaye Johnston, Grace C. Lin, Cara Wilson, Lachlan D. Urquhart, Jun Zhao |
| 2024 | CHI | KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication Risks. | Ge Wang, Jun Zhao, Konrad Kollnig, Adrien Zier, Blanche Duron, Zhilin Zhang, Max Van Kleek, Nigel Shadbolt |
| 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 | EMNLP | LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration. | Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang |
| 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 | LongHeads: Multi-Head Attention is Secretly a Long Context Processor. | Yi Lu, Xin Zhou, Wei He, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang |
| 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 | 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 | EMNLP | TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities. | Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | EMNLP | Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems. | Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang |
| 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 | 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 | ACL | Actively Supervised Clustering for Open Relation Extraction. | Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, Mingming Sun |
| 2023 | ACL | Open Set Relation Extraction via Unknown-Aware Training. | Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao, Xuanjing Huang |
| 2023 | ACL | RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction. | Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, Mingming Sun |
| 2023 | CHI | 12 Ways to Empower: Designing for Children's Digital Autonomy. | Ge Wang, Jun Zhao, Max Van Kleek, Nigel Shadbolt |
| 2023 | CHI | Child-Centred AI Design: Definition, Operation, and Considerations. | Ge Wang, Kaiwen Sun, Aya Atabey, Kruakae Pothong, Grace C. Lin, Jun Zhao, Jason C. Yip |
| 2023 | CHI | 'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. | Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt |
| 2023 | CHI | 'Treat me as your friend, not a number in your database': Co-designing with Children to Cope with Datafication Online. | Ge Wang, Jun Zhao, Max Van Kleek, Nigel Shadbolt |
| 2023 | CIKM | SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems. | Beichuan Zhang, Chenggen Sun, Jianchao Tan, Xinjun Cai, Jun Zhao, Mengqi Miao, Kang Yin, Chengru Song, Na Mou, Yang Song |
| 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 | 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 | Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback. | Wei Shen, Rui Zheng, WenYu Zhan, Jun Zhao, Shihan Dou, Tao Gui, Qi Zhang, Xuanjing Huang |
| 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 | EMNLP | Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information. | Wentao Zhou, Jun Zhao, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2023 | GLOBECOM | Optimization in Mobile Augmented Reality Systems for the Metaverse Over Wireless Communications. | Tianming Lan, Jun Zhao |
| 2022 | ACL | Incremental Intent Detection for Medical Domain with Contrast Replay Networks. | Guirong Bai, Shizhu He, Kang Liu, Jun Zhao |
| 2022 | ACL | CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge. | Zhuoran Jin, Tianyi Men, Hongbang Yuan, Zhitao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, 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 | CCS | Poster: An Analysis of Privacy Features in 'Expert-Approved' Kids' Apps. | Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek |
| 2022 | CHI | Informing Age-Appropriate AI: Examining Principles and Practices of AI for Children. | Ge Wang, Jun Zhao, Max Van Kleek, Nigel Shadbolt |
| 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 | Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER. | Jun Zhao, Xin Zhao, WenYu Zhan, Tao Gui, Qi Zhang, Liang Qiao, Zhanzhan Cheng, Shiliang Pu |
| 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 | 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 |
| 2021 | AAAI | Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). | Jinqi Luo, Tao Bai, Jun Zhao |
| 2021 | AAAI | CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. | Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao |
| 2021 | AAAI | What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering. | Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li |
| 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 | Named Entity Recognition via Noise Aware Training Mechanism with Data Filter. | Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie, Weijian Sun |
| 2021 | ACL | Alignment Rationale for Natural Language Inference. | Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao, Kang Liu |
| 2021 | ACL | CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet. | Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao |
| 2021 | ACL | A Large-Scale Chinese Multimodal NER Dataset with Speech Clues. | Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao |
| 2021 | ACL | TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. | Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang |
| 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 | CHI | "Money makes the world go around": Identifying Barriers to Better Privacy in Children's Apps From Developers' Perspectives. | Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek |
| 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 | EMNLP | A Relation-Oriented Clustering Method for Open Relation Extraction. | Jun Zhao, Tao Gui, Qi Zhang, Yaqian Zhou |
| 2021 | GLOBECOM | Joint Transmit Precoding and Reflect Beamforming for IRS-Assisted MIMO-OFDM Secure Communications. | Weiheng Jiang, Bolin Chen, Sahil Garg, Jiangtian Nie, Jun Zhao, Zehui Xiong |
| 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 | APWEB | Efficient Personalized Influential Community Search in Large Networks. | Yanping Wu, Jun Zhao, Renjie Sun, Chen Chen, Xiaoyang Wang |
| 2020 | BIBE | Previous-stage-based ROI Reconstruction Method for Ultra-low-dose CT Angiography. | Yufu Zhou, Xinzhen Zhang, Weikang Zhang, Jianqi Sun, Jun Zhao |
| 2020 | CCS | POSTER: Blockchain-Based Differential Privacy Cost Management System. | Leong Mei Han, Yang Zhao, Jun Zhao |
| 2020 | CCS | POSTER: Attacks to Federated Learning: Responsive Web User Interface to Recover Training Data from User Gradients. | Hans Albert Lianto, Yang Zhao, Jun Zhao |
| 2020 | CHI | Understanding Value and Design Choices Made by Android Family App Developers. | Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek |
| 2020 | CHI | 'I Just Want to Hack Myself to Not Get Distracted': Evaluating Design Interventions for Self-Control on Facebook. | Ulrik Lyngs, Kai Lukoff, Petr Slovk, William Seymour, Helena Webb, Marina Jirotka, Jun Zhao, Max Van Kleek, Nigel Shadbolt |
| 2020 | CIKM | Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions. | Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu, Jun Zhao |
| 2020 | CIKM | Community Identification in Signed Networks: A K-Truss Based Model. | Jun Zhao, Renjie Sun, Qiuyu Zhu, Xiaoyang Wang, Chen Chen |
| 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 | DASC | A Multi-objective Simulated Annealing Algorithm-based Coal Blending Optimization Approach in Coking Process. | Jinkai Zi, Feng Jin, Jun Zhao, Wei Wang, Quanli Liu |
| 2020 | DASFAA | BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy. | Lin Sun, Xiaojun Ye, Jun Zhao, Chenhui Lu, Mengmeng Yang |
| 2020 | ECAI | Semantics-Reinforced Networks for Question Generation. | Zhuang Liu, Kaiyu Huang, Degen Huang, Jun Zhao |
| 2020 | EMNLP | Incremental Event Detection via Knowledge Consolidation Networks. | Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang |
| 2020 | EMNLP | FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. | Dianbo Sui, Yubo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun |
| 2020 | EMNLP | Scene Restoring for Narrative Machine Reading Comprehension. | Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng |
| 2020 | GLOBECOM | A Stackelberg Game Approach to Resource Allocation for IRS-aided Communications. | Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao |
| 2020 | GLOBECOM | Resource Allocation for Intelligent Reflecting Surface Aided Cooperative Communications. | Yulan Gao, Chao Yong, Zehui Xiong, Dusit Niyato, Yue Xiao, Jun Zhao |
| 2020 | GLOBECOM | Intelligent Reflecting Surface-Aided Backscatter Communications. | Xiaolun Jia, Jun Zhao, Xiangyun Zhou, Dusit Niyato |
| 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 | CHI | 'I make up a silly name': Understanding Children's Perception of Privacy Risks Online. | Jun Zhao, Ge Wang, Carys Dally, Petr Slovk, Julian Edbrooke-Childs, Max Van Kleek, Nigel Shadbolt |
| 2019 | CIKM | Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. | Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi |
| 2019 | CoNLL | Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. | Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao |
| 2019 | DASC | A Spark-Based Approach for High-Efficiency Embedded Feature Selection. | Fan Zhou, Zhongyang Han, Jun Zhao, Wei Wang |
| 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 | EWSN | Differentially Private Collaborative Learning for the IoT Edge. | Linshan Jiang, Xin Lou, Rui Tan, Jun Zhao |
| 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 | AAAI | Distributed Deep Learning under Differential Privacy with the Teacher-Student Paradigm. | 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 | CEC | Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. | Tianyu Wang, Jun Zhao, Wei Wang, Ying Liu, Ge Guo |
| 2018 | CHI | 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions. | Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, Nigel Shadbolt |
| 2018 | CHI | X-Ray Refine: Supporting the Exploration and Refinement of Information Exposure Resulting from Smartphone Apps. | Max Van Kleek, Reuben Binns, Jun Zhao, Adam Slack, Sauyon Lee, Dean Ottewell, Nigel Shadbolt |
| 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 | 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 |
| 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 | CHI | My Bank Already Gets this Data: Exposure Minimisation and Company Relationships in Privacy Decision-Making. | Reuben Binns, Jun Zhao, Max Van Kleek, Nigel Shadbolt, Ilaria Liccardi, Daniel J. Weitzner |
| 2017 | CHI | Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps. | Max Van Kleek, Ilaria Liccardi, Reuben Binns, Jun Zhao, Daniel J. Weitzner, Nigel Shadbolt |
| 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 | GLOBECOM | Dependent Differential Privacy for Correlated Data. | Jun Zhao, Junshan Zhang, H. Vincent Poor |
| 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 | 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 |
| 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 | ACL | Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering. | Guangyou Zhou, Tingting He, Jun Zhao, Po Hu |
| 2015 | APWEB | ONCAPS: An Ontology-Based Car Purchase Guiding System. | Jianfeng Du, Jun Zhao, Jiayi Cheng, Qingchao Su, Jiacheng Liang |
| 2015 | BMVC | Action Recognition based on Subdivision-Fusion Model. | Zong Bo Hao, Linlin Lu, Qianni Zhang, Jie Wu, Ebroul Izquierdo, Juanyu Yang, Jun Zhao |
| 2015 | CICLING | Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags. | Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hongwei Hao |
| 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 |
| 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 | COLING | Sentiment Classification with Graph Co-Regularization. | Guangyou Zhou, Jun Zhao, Daojian Zeng |
| 2014 | COLING | Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives. | Guangyou Zhou, Yubo Chen, Daojian Zeng, 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 | ACL | Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. | Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao |
| 2013 | ACL | Joint Inference for Heterogeneous Dependency Parsing. | Guangyou Zhou, Jun Zhao |
| 2013 | ADMA | Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model. | Ganping Li, Jun Zhao, Fuyang Zhang, Zhizhen Ni |
| 2013 | CIKM | Towards faster and better retrieval models for question search. | Guangyou Zhou, Yubo Chen, Daojian Zeng, Jun Zhao |
| 2013 | EDBT | A workflow PROV-corpus based on taverna and wings. | Khalid Belhajjame, Jun Zhao, Daniel Garijo, Aleix Garrido, Stian Soiland-Reyes, Pinar Alper, scar Corcho |
| 2012 | APWEB | Research on Semantic Label Extraction of Domain Entity Relation Based on CRF and Rules. | Jianyi Guo, Jun Zhao, Zhengtao Yu, Lei Su, Nianshu Jiang |
| 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 |
| 2010 | ACL | Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation. | Xianpei Han, Jun Zhao |
| 2010 | CIKM | Topic-driven web search result organization by leveraging wikipedia semantic knowledge. | Xianpei Han, Jun Zhao |
| 2010 | CIKM | Learning a user-thread alignment manifold for thread recommendation in online forum. | Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang |
| 2009 | ACL | A Chinese-English Organization Name Translation System Using Heuristic Web Mining and Asymmetric Alignment. | Fan Yang, Jun Zhao, Kang Liu |
| 2009 | CIKM | Named entity disambiguation by leveraging wikipedia semantic knowledge. | Xianpei Han, Jun Zhao |
| 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 |
| 2007 | AAAI | Ungreedy Methods for Chinese Deterministic Dependency Parsing. | Xiangyu Duan, Jun Zhao, Bo Xu |
| 2007 | ACC | Practical Output Tracking of Nonlinear Systems with Uncontrollable Unstable Linearization: an Alternative Adaptive Mechanism. | Jun Fu, Wen-Fang Xie, Chun-Yi Su, Jun Zhao |
| 2007 | ACC | Decentralized Synchronization of an Uncertain Complex Dynamical Network. | Weisong Zhong, Georgi M. Dimirovski, Jun Zhao |
| 2007 | CICLING | Using Clustering Approaches to Open-Domain Question Answering. | Youzheng Wu, Hideki Kashioka, Jun Zhao |
| 2007 | EMNLP | Probabilistic Parsing Action Models for Multi-Lingual Dependency Parsing. | Xiangyu Duan, Jun Zhao, Bo Xu |
| 2005 | APWEB | Transforming Non-covering Dimensions in OLAP. | Zehai Li, Jigui Sun, Jun Zhao, Haihong Yu |
| 2005 | CIS | Multi-objective Evolutionary Design and Knowledge Discovery of Logic Circuits with an Improved Genetic Algorithm. | Shuguang Zhao, Licheng Jiao, Jun Zhao |
| 2003 | ACL | Chinese Named Entity Recognition Combining Statistical Model wih Human Knowledge. | Youzheng Wu, Jun Zhao, Bo Xu |
| 2000 | ACL | An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing. | Zhifang Sui, Jun Zhao, Dekai Wu |
| 1999 | EMNLP | An Information-Theoretic Empirical Analysis of Dependency-Based Feature Types for Word Prediction Models. | Dekai Wu, Jun Zhao, Zhifang Sui |
| 1992 | CBMS | Intensive-Help-a knowledge-based system for intensive care units. | Holger Drer, K. Wang, Manfred B. Wischnewsky, Jun Zhao, J. Hommel |