| 2026 | AAAI | From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. | Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang |
| 2026 | AAAI | TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment. | Shicheng Li, Lei Li, Kun Ouyang, Shuhuai Ren, Yuanxin Liu, Yuanxing Zhang, Fuzheng Zhang, Lingpeng Kong, Qi Liu, Xu Sun |
| 2026 | AAAI | Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning. | Yimin Liu, Peng Jiang, Qi Liu, Liehuang Zhu |
| 2026 | AAAI | Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning. | Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen |
| 2026 | AAAI | Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation. | Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang |
| 2026 | AAAI | What-Meets-Where: Unified Learning of Action and Contact Localization in Images. | Yuxiao Wang, Yu Lei, Wolin Liang, Weiying Xue, Zhenao Wei, Nan Zhuang, Qi Liu |
| 2026 | AAAI | QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection. | Yuxiao Wang, Wolin Liang, Yu Lei, Weiying Xue, Nan Zhuang, Qi Liu |
| 2026 | AAAI | DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors. | Zhuoxing Wei, Qingchen Xie, Qi Liu, Jingsong Yu |
| 2026 | AAAI | Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models. | Yi Yang, Haowen Li, Tianxiang Li, Boyu Cao, Xiaohan Zhang, Liqun Chen, Qi Liu |
| 2026 | AAAI | Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning. | Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu |
| 2026 | AAAI | Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning. | Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang |
| 2026 | ACISP | Secure Sealed-Bidding Networks via Conditional Time-Aware Access Authorization. | Qi Liu, Peng Jiang, Yimin Liu, Zhen Zhao, Liehuang Zhu |
| 2026 | ACL | Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation. | Boyu Cao, Lekai Qian, Dehan Li, Haoyu Gu, Mingda Xu, Qi Liu |
| 2026 | ACL | Semantically Comprehensive Token Pruning in LVLMs via Maximizing Concept Coverage. | Xueting Li, Qi Liu, Chenghao Xu, Xu Yang, Guangtao Lyu, Jiahua Li, Cheng Deng |
| 2026 | ACL | EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving. | Mukai Li, Linfeng Song, Zhenwen Liang, Jiahao Xu, Shansan Gong, Qi Liu, Haitao Mi, Dong Yu |
| 2026 | ACL | Cognitive Alpha Mining via LLM-Driven Code-Based Evolution. | Fengyuan Liu, Yi Huang, Sichun Luo, Yuqi Wang, Yazheng Yang, Xinye Li, Zefa Hu, Junlan Feng, Qi Liu |
| 2026 | ACL | Verified Critical Step Optimization for LLM Agents. | Mukai Li, Qingcheng Zeng, Tianqing Fang, Zhenwen Liang, Linfeng Song, Qi Liu, Haitao Mi, Dong Yu |
| 2026 | ACL | LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring. | Ning Li, Zheng Zhang, Zhenya Huang, Rui Li, Yi Zhan, Yinbo Luo, Qi Liu, Enhong Chen |
| 2026 | ACL | AlphaQT-Bench: Diagnosing the Gap between Financial Code Generation and Quantitative Reasoning in LLMs. | Sichun Luo, Yi Huang, Shichang Meng, Fengyuan Liu, Mukai Li, Qinghua Yao, Zefa Hu, Junlan Feng, Qi Liu |
| 2026 | ACL | Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs. | Guangtao Lyu, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Xueting Li, Fen Fang, Cheng Deng |
| 2026 | ACL | One LLM Does Not Simulate All Students: Ability-Aware Student Simulation via Cognitive Diagnosis Guided LLM Assignment. | Huixing Que, Qi Liu, Weibo Gao, Zhenya Huang |
| 2026 | ACL | OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. | Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong |
| 2026 | ACL | ShopSimulator: Evaluating and Exploring RL-Driven LLM Agent for Shopping Assistants. | Pei Wang, Yanan Wu, Xiaoshuai Song, Weixun Wang, Gengru Chen, Zhongwen Li, Kezhong Yan, Qi Liu, Ken Deng, Shuaibing Zhao, Shaopan Xiong, Xuepeng Liu, Xuefeng Chen, Wanxi Deng, Wenbo Su, Bo Zheng |
| 2026 | ACL | C-World: A Computer Use Agent Environment Creator. | Ziqiao Xi, Shuang Liang, Qi Liu, Jiaqing Zhang, Letian Peng, Fang Nan, Meshal Nayim, Tianhui Zhang, Rishika Mundada, Lianhui Qin, Biwei Huang, Kun Zhou |
| 2026 | ACL | Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models. | Chenghao Xu, Jiexi Yan, Guangtao Lyu, Qi Liu, Muli Yang, Cheng Deng |
| 2026 | ACL | Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning. | Heng Yu, Rui Li, Qi Liu, Wenjun Feng, Junfeng Kang, Yi Zhan |
| 2026 | ACL | Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees. | Zheng Zhang, Qi Liu, Siyuan Liang, Ning Li, Zirui Hu, Weibo Gao, Rui Li, Zhenya Huang, Leszek Rutkowski, Baosheng Yu, Dacheng Tao |
| 2026 | CHI | NarrAid: Supporting Storytelling of People with Aphasia via Generative Visual Scene Displays. | Xiangfei Hu, Xiuqi Zheng, Qi Liu, Zejian Li, Ying Zhang, Lu Wang, Xipei Ren |
| 2026 | CHI | Does Sycophancy Change Decisions? Effect of LLM Sycophancy on AI-Assisted Decision-Making. | Zejian Li, Jiaman Pan, Qi Liu, Yuning Xi, Yixiang Zhou, Yike Jin, Rongjie Mao, Pei Chen |
| 2026 | DASFAA | Generative Query Augmentation with Dual-view Contrastive Learning for Dense Retrieval in Conversational Search. | Wenyu Yan, Aoran Gan, Xukai Liu, Yanjiang Chen, Kai Zhang, Qi Liu |
| 2026 | ISCA | NS-FPS: Accelerating Farthest Point Sampling via Neighbor Search in Large-Scale Point Clouds. | Jiapei Zheng, Shuan Yang, Siqi He, Qi Liu, Chixiao Chen |
| 2026 | ISCAS | An RRAM-based Neuromorphic Sleep Monitoring System for Energy-efficient Edge Healthcare Applications. | Jingyi Chen, Fangduo Zhu, Zhicheng Li, Zihan Xu, Yiwen Zhu, Jingsong Zhang, Jinhao Liang, Xumeng Zhang, Qi Liu |
| 2026 | ISCAS | An RRAM-based Multi-Timescale Spiking Processor with Reconfigurable Neurons. | Jinhao Liang, Chenyang Li, Fangduo Zhu, Yiwen Zhu, Siyuan Ouyang, Jingsong Zhang, Xumeng Zhang, Qi Liu, Ming Liu |
| 2026 | ISCAS | A Temperature-Adaptive Bias Generator with Threshold-Voltage Compensation from 3.6 K to 410 K. | Yingzhe Sha, Jiaxuan Weng, Peng Wang, Zhangcheng Huang, Qi Liu |
| 2026 | ISCAS | PSVS: A Parallel-Series Voltage-Sensing 1T4R RRAM Macro Achieving 15-Level Storage and 17.88 Mb/mm | Kaijun Zhang, Wencong Wu, Peizhe Li, Jiapei Zheng, Jinru Lai, Xiaoxin Xu, Qi Liu, Chixiao Chen |
| 2026 | ISCAS | A Pipelined NoC-Based Membrane Shortcut SNN Architecture for Low-Latency Spike Sorting. | Jingsong Zhang, Yiwen Zhu, Fangduo Zhu, Chenyang Li, Siyuan Ouyang, Jinhao Liang, Jingyi Chen, Xumeng Zhang, Qi Liu |
| 2026 | WWW | Swen: A Cross-Platform Desktop Assistant for Instant and Personalized Large-Language-Model Interaction. | Wenjun Feng, Rui Li, Zheng Zhang, Zhenya Huang, Qi Liu |
| 2026 | WWW | Explaining Synergistic Effects in Social Recommendations. | Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia |
| 2026 | WWW | Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts? | Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu |
| 2026 | WWW | MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. | Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao |
| 2026 | SIGIR | MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retrieval. | Wenchun Jing, Haiyang Shen, Haoran Wang, Qi Liu, Ningyuan Li, Chaoran Luo, Ning Zhang, Yun Ma |
| 2026 | SIGIR | Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation. | Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu |
| 2026 | SIGIR | Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA. | Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang |
| 2026 | SIGMOD | TiInsight: A SQL-based Automated Exploratory Data Analysis System through Large Language Models. | Jun-Peng Zhu, Boyan Niu, Peng Cai, Zheming Ni, Kai Xu, Jiajun Huang, Shengbo Ma, Bing Wang, Xuan Zhou, Guanglei Bao, Donghui Zhang, Liu Tang, Qi Liu |
| 2026 | WSDM | TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. | Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen |
| 2026 | WSDM | Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. | Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen |
| 2026 | WSDM | TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. | Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu |
| 2026 | SECON | Poster: Automated Extraction of Protocol State Machines from 3GPP Specifications with Domain-Informed Prompts and LLM Ensembles. | Miao Zhang, Runhan Feng, Hongbo Tang, Yu Zhao, Jie Yang, Hang Qiu, Qi Liu |
| 2025 | AAAI | VERSE: Verification-based Self-Play for Code Instructions. | Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su |
| 2025 | AAAI | Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang |
| 2025 | AAAI | Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship. | Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su |
| 2025 | AAAI | Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis. | Jinhao Lin, Yifei Wang, Yanwu Xu, Qi Liu |
| 2025 | AAAI | GenAL: Generative Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu |
| 2025 | AAAI | SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning. | Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li |
| 2025 | AAAI | Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration. | Yuxiao Wang, Wenpeng Neng, Zhenao Wei, Yu Lei, Weiying Xue, Nan Zhuang, Yanwu Xu, Xinyu Jiang, Qi Liu |
| 2025 | AAAI | Geometry-Aware 3D Salient Object Detection Network. | Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai |
| 2025 | AAAI | Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories. | Xiaohan Zhang, Zhenyu Sun, Yukui Qiu, Junyan Su, Qi Liu |
| 2025 | AAAI | LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study. | Nan Zhuang, Boyu Cao, Yi Yang, Jing Xu, Mingda Xu, Yuxiao Wang, Qi Liu |
| 2025 | ACL | Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting. | Hao Feng, Shu Wei, Xiang Fei, Wei Shi, Yingdong Han, Lei Liao, Jinghui Lu, Binghong Wu, Qi Liu, Chunhui Lin, Jingqun Tang, Hao Liu, Can Huang |
| 2025 | ACL | PQR: Improving Dense Retrieval via Potential Query Modeling. | Junfeng Kang, Rui Li, Qi Liu, Yanjiang Chen, Zheng Zhang, Junzhe Jiang, Heng Yu, Yu Su |
| 2025 | ACL | Entailment-Preserving First-order Logic Representations in Natural Language Entailment. | Jinu Lee, Qi Liu, Runzhi Ma, Vincent Han, Ziqi Wang, Heng Ji, Julia Hockenmaier |
| 2025 | ACL | MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality. | Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen |
| 2025 | ACL | Design Choices for Extending the Context Length of Visual Language Models. | Mukai Li, Lei Li, Shansan Gong, Qi Liu |
| 2025 | ACL | UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation. | Rui Li, Liyang He, Qi Liu, Zheng Zhang, Heng Yu, Yuyang Ye, Linbo Zhu, Yu Su |
| 2025 | ACL | AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. | Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu |
| 2025 | ACL | A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding. | Jinghui Lu, Haiyang Yu, Yanjie Wang, Yongjie Ye, Jingqun Tang, Ziwei Yang, Binghong Wu, Qi Liu, Hao Feng, Han Wang, Hao Liu, Can Huang |
| 2025 | ACL | HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. | Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu |
| 2025 | ACL | Stepwise Reasoning Disruption Attack of LLMs. | Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu |
| 2025 | ACL | MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. | Jingqun Tang, Qi Liu, Yongjie Ye, Jinghui Lu, Shu Wei, An-Lan Wang, Chunhui Lin, Hao Feng, Zhen Zhao, Yanjie Wang, Yuliang Liu, Hao Liu, Xiang Bai, Can Huang |
| 2025 | ACL | CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval. | Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | CHI | Ink Restorer: Virtual Restoration of Ancient Chinese Paintings Inheriting Traditional Restoration Processes. | Ying Zhang, Zejian Li, Jiesi Zhang, Fang Hu, Kewen Zhu, Qi Liu, Huanghuang Deng, Xiaoyu Chen, Lingyun Sun |
| 2025 | CIKM | Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. | Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen |
| 2025 | CIKM | TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. | Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li |
| 2025 | CloudCom | KAN-Lite: Semantic Reasoning for Intent-Aware UAV Swarm Recovery in 6G Networks. | Jiaqi Lin, Qijie Qian, Qi Liu, Xiang Li, Senbai Zhang, Chunhui Cheng, Jinpeng Ran, Zhen Qin, Xudong Zhong |
| 2025 | CSCWD | BCPPAS : Blockchain-Based Cross-Domain Identity Authentication Scheme for IoT with Privacy Protection. | Qianqian Li, Yubing Han, Qi Liu, Guijuan Wang, Hao Yu, Jiguo Yu |
| 2025 | CVPR | HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation. | Kun Liu, Qi Liu, Xinchen Liu, Jie Li, Yongdong Zhang, Jiebo Luo, Xiaodong He, Wu Liu |
| 2025 | CVPR | VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models. | Lei Li, Yuancheng Wei, Zhihui Xie, Xuqing Yang, Yifan Song, Peiyi Wang, Chenxin An, Tianyu Liu, Sujian Li, Bill Yuchen Lin, Lingpeng Kong, Qi Liu |
| 2025 | DAC | Hydra: Harnessing Expert Popularity for Efficient Mixture-of-Expert Inference on Chiplet System. | Siqi He, Haozhe Zhu, Jiapei Zheng, Lizhou Wu, Bo Jiao, Qi Liu, Xiaoyang Zeng, Chixiao Chen |
| 2025 | DAC | DRAFT: Decoupling Backpropagation from Pre-trained Backbone for Efficient Transformer Fine-Tuning on Edge. | Zhirui Huang, Shiwei Liu, Haozhe Zhu, Qi Liu, Chixiao Chen |
| 2025 | DAC | McPAL: Scaling Unstructured Sparse Inference with Multi-Chiplet HBM-PIM Architecture for LLMs. | Shiwei Liu, Zhirui Huang, Jiangnan Yu, Qi Liu, Chixiao Chen |
| 2025 | DAC | SDISC: A Spike-Driven Human-Machine Interface with In-Situ Computing for Real-Time Low-Power Interaction. | Fangduo Zhu, Jingyi Chen, Jingsong Zhang, Xumeng Zhang, Siyuan Ouyang, Chenyang, Hao Jiang, Xiaonan Yang, Qi Liu |
| 2025 | DASFAA | Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context. | Jianfang Chen, Kai Zhang, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu |
| 2025 | DASFAA | MASS: Mitigating Aspect-Oriented Semantic Sparsity for Fine-Grained Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, Qi Liu |
| 2025 | DASFAA | From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction. | Aoran Gan, Ye Liu, Hongbo Gang, Kai Zhang, Qi Liu, Enhong Chen, Xin Li, Guoping Hu |
| 2025 | DASFAA | Learnable Relational Knowledge Distillation For Language Model Compression. | Feng Hu, Kai Zhang, Ye Liu, Meikai Bao, Xukai Liu, Yanjiang Chen, Gang Zhou, Qi Liu |
| 2025 | DASFAA | Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models. | Ruikang Li, Jiaxian Yan, Kai Zhang, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen |
| 2025 | EMNLP | ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning. | Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong |
| 2025 | EMNLP | Adaptive Preference Optimization with Uncertainty-aware Utility Anchor. | Xiaobo Wang, Zixia Jia, Jiaqi Li, Qi Liu, Zilong Zheng |
| 2025 | EMNLP | WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? | An-Lan Wang, Jingqun Tang, Lei Liao, Hao Feng, Qi Liu, Xiang Fei, Jinghui Lu, Han Wang, Hao Liu, Yuliang Liu, Xiang Bai, Can Huang |
| 2025 | EMNLP | Think and Recall: Layer-Level Prompting for Lifelong Model Editing. | Jinke Wang, Zenan Ying, Qi Liu, Wei Chen, Tong Xu, Huijun Hou, Zhi Zheng |
| 2025 | HPCA | EIGEN: Enabling Efficient 3DIC Interconnect with Heterogeneous Dual-Layer Network-on-Active-Interposer. | Siyao Jia, Bo Jiao, Haozhe Zhu, Chixiao Chen, Qi Liu, Ming Liu |
| 2025 | ICASSP | CSS: Overcoming Pose and Scene Challenges in Crowd-Sourced 3D Gaussian Splatting. | Runze Chen, Mingyu Xiao, Haiyong Luo, Fang Zhao, Fan Wu, Hao Xiong, Qi Liu, Meng Song |
| 2025 | ICASSP | SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis. | Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu |
| 2025 | ICCV | MSA | Yangfu Li, Hongjian Zhan, Qi Liu, Li Sun, Yu-Jie Xiong, Yue Lu |
| 2025 | ICCV | Prompt Guidance and Human Proximal Perception for HOT Prediction with Regional Joint Loss. | Yuxiao Wang, Yu Lei, Zhenao Wei, Weiying Xue, Xinyu Jiang, Nan Zhuang, Qi Liu |
| 2025 | ICDE | GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. | Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao |
| 2025 | ICDE | SylphDB: An Active and Adaptive LSM Engine for Update-Intensive Workloads. | Jun-Peng Zhu, Zhiwei Ye, Xiaolong He, Peng Cai, Xuan Zhou, Aoying Zhou, Dunbo Cai, Ling Qian, Kai Xu, Liu Tang, Qi Liu |
| 2025 | ICICS | AnoST: An Anonymous Optimistic Verification System Based on Off-Chain State Transition. | Qiyuan Gao, Qianhong Wu, Junxiang Nong, Qi Liu |
| 2025 | ICLR | Jailbreaking as a Reward Misspecification Problem. | Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong |
| 2025 | ICLR | Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study. | Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang |
| 2025 | ICLR | Temporal Reasoning Transfer from Text to Video. | Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu |
| 2025 | ICLR | Making Transformer Decoders Better Differentiable Indexers. | Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai |
| 2025 | ICLR | RecFlow: An Industrial Full Flow Recommendation Dataset. | Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai |
| 2025 | ICLR | Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach. | Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan |
| 2025 | ICLR | Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. | Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen |
| 2025 | ICML | CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. | Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen |
| 2025 | ICML | am-ELO: A Stable Framework for Arena-based LLM Evaluation. | Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang |
| 2025 | ICML | CursorCore: Assist Programming through Aligning Anything. | Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang |
| 2025 | ICML | TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. | Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu |
| 2025 | ICML | CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing. | Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian |
| 2025 | ICML | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2025 | IJCAI | WDMIR: Wavelet-Driven Multimodal Intent Recognition. | Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu |
| 2025 | IJCAI | TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. | Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu |
| 2025 | IJCAI | CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. | Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang |
| 2025 | IJCNN | Neural Adaptive Dependent Task Placement for IoT Streaming Applications. | Yue Ding, Yufeng Li, Chenhong Cao, Qi Liu |
| 2025 | ICRA | Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation. | Jianqi Gao, Xizheng Pang, Qi Liu, Yanjie Li |
| 2025 | INDIN | Physics-Data Fusion for Long-Term Voltage Prediction in Vanadium Redox Flow Batteries. | Jiajie Zhu, Bo Yang, Mingxuan Cai, Qi Liu, Peng Wang |
| 2025 | IROS | Deep Learning-based Proactive Hazard Prediction for Human-Robot Collaboration with Sensor Malfunctions. | Yuliang Ma, Zilin Jin, Qi Liu, Ilshat Mamaev, Andrey Morozov |
| 2025 | IROS | Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making. | Kaifeng Wang, Yinsong Chen, Qi Liu, Xueyuan Li, Xin Gao |
| 2025 | ISCAS | A 70 pW Self-Compensated Subthreshold Voltage Reference Achieving 190 °C Temperature Range and 0.07%/V Line Sensitivity. | Xiaoxian Feng, Yingping Chen, Qi Liu |
| 2025 | IECON | A Collaborative Framework Based on MLLM for Generalization Photovoltaic Fault Diagnosis. | Mengqi Han, Bo Yang, Qi Liu, Mingxuan Cai, Yuxiang Liu |
| 2025 | ISCAS | A 0.22 pJ/bit Processing-in-Controller GEMV Macro with Weight Prefetch for Efficient Near-Memory Computing. | Jie Yang, Jiapei Zheng, Siqi He, Lizhou Wu, Chen Mu, Haozhe Zhu, Liyu Lin, Qi Liu, Chixiao Chen |
| 2025 | KDD | Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. | Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang |
| 2025 | KDD | MGS3: A Multi-Granularity Self-Supervised Code Search Framework. | Rui Li, Junfeng Kang, Qi Liu, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang |
| 2025 | KDD | Unifying Adversarial Multi-Deconfounded Learning Paradigm for Fake News Detection. | Zixun Sun, Mingye Xu, Guanming Liang, Qi Liu |
| 2025 | NAACL | ImgTrojan: Jailbreaking Vision-Language Models with ONE Image. | Xijia Tao, Shuai Zhong, Lei Li, Qi Liu, Lingpeng Kong |
| 2025 | NDSS | Revealing the Black Box of Device Search Engine: Scanning Assets, Strategies, and Ethical Consideration. | Mengying Wu, Geng Hong, Jinsong Chen, Qi Liu, Shujun Tang, Youhao Li, Baojun Liu, Haixin Duan, Min Yang |
| 2025 | QRS | Cross-Modal Contrast with Image Jigsaw for Self-Supervised Representation Learning of 3D Point Clouds. | Yuehui Han, Xinpeng Yu, Yao Wang, Can Xu, Qi Liu |
| 2025 | QRS | A Few-shot Sentiment Analysis Algorithm Based on Prompt Learning with Contextual Contrastive Learning. | Qi Liu, Yonghua Cui, Jinbao Chen, Chaoying Ji, Zhaopeng Sun |
| 2025 | QRS | An Improved Method of Spatiotemporal Representation Transfer and Self-attention Mechanism for Long-term Radar Echo Extrapolation. | Jin Wang, Qihe Feng, Qi Liu, Yonghong Zhang, Linglong Zhu |
| 2025 | WWW | TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. | Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin |
| 2025 | WWW | ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. | Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang |
| 2025 | WWW | BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. | Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv |
| 2025 | WWW | Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. | Qi Liu, Bo Wang, Nan Wang, Jiaxin Mao |
| 2025 | WWW | Empowering Federated Graph Rationale Learning with Latent Environments. | Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du |
| 2025 | WWW | Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences. | Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen |
| 2025 | SIGIR | Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction. | Zhuoxing Wei, Qi Liu, Qingchen Xie |
| 2025 | SIGMOD | UNITQA: A Unified Automated Tabular Question Answering System with Multi-Agent Large Language Models. | Jun-Peng Zhu, Peng Cai, Kai Xu, Li Li, Yishen Sun, Shuai Zhou, Haihuang Su, Liu Tang, Qi Liu |
| 2025 | WSDM | Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. | Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian |
| 2025 | WSDM | InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. | Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen |
| 2025 | WSDM | Enhancing Code Search Intent with Programming Context Exploration. | Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu |
| 2025 | WSDM | ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control. | Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun |
| 2025 | WSDM | DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. | Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou |
| 2024 | AAAI | Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. | Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He |
| 2024 | AAAI | π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. | Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou |
| 2024 | AAAI | ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. | Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen |
| 2024 | AAAI | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework. | Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang |
| 2024 | AAAI | AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. | Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei |
| 2024 | AAAI | R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion. | Jinxiu Liu, Qi Liu |
| 2024 | ACL | Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. | Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu |
| 2024 | ACL | Red Teaming Visual Language Models. | Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu |
| 2024 | ACL | Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. | Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li |
| 2024 | ACL | Large Language Models are not Fair Evaluators. | Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui |
| 2024 | ACL | Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. | Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen |
| 2024 | ACL | RePair: Automated Program Repair with Process-based Feedback. | Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su |
| 2024 | APWEB | MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. | Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen |
| 2024 | CIKM | UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. | Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen |
| 2024 | CIKM | Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. | Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen |
| 2024 | CIKM | HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis. | Dongxuan Han, Qi Liu, Siqi Lei, Shiwei Tong, Wei Huang |
| 2024 | CIKM | Enhancing the Completeness of Rationales for Multi-Step Question Answering. | Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu |
| 2024 | CIKM | Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. | Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao |
| 2024 | CIKM | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | COMPSAC | Ants: Attacking Spatial Temporal Graph Learning Networks Structurally. | Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen |
| 2024 | CVPR | Improving Depth Completion via Depth Feature Upsampling. | Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, Yuchao Dai |
| 2024 | CVPR | OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. | Zilyu Ye, Jinxiu Liu, Jinjin Cao, Zhiyang Chen, Ziwei Xuan, Mingyuan Zhou, Qi Liu, Guo-Jun Qi |
| 2024 | DAC | CEDAR: Computing-in-pixel Edge-aware Detection and Reconstruction Architecture for High-resolution 3D Imaging. | Bu Chen, Zhangcheng Huang, Qi Zheng, Weiyi Tang, Jingyi Wang, Hankun Lv, Chixiao Chen, Jianlu Wang, Qi Liu |
| 2024 | DAC | A High-Throughput Private Inference Engine Based on 3D Stacked Memory. | Zhaohui Chen, Ling Liang, Qi Liu, Zhirui Li, Fahong Zhang, Yanheng Lu, Zhen Gu |
| 2024 | DAC | CAMPER: Exploring the Potential of Content Addressable Memory for 3D Point Cloud Efficient Range Search. | Jiapei Zheng, Lizhou Wu, Yutong Su, Jingyi Wang, Zhangcheng Huang, Chixiao Chen, Qi Liu |
| 2024 | DASFAA | Post-hoc Facts augmented Legal Judgment Prediction. | Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective. | Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su |
| 2024 | DASFAA | Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. | Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng |
| 2024 | DASFAA | Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. | Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao |
| 2024 | DASFAA | Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. | Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen |
| 2024 | DASFAA | QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction. | Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou |
| 2024 | DASFAA | FedJudge: Federated Legal Large Language Model. | Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao |
| 2024 | DASFAA | Learning Recommender Systems with Soft Target: A Decoupled Perspective. | Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen |
| 2024 | EMNLP | Towards Explainable Computerized Adaptive Testing with Large Language Model. | Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen |
| 2024 | EMNLP | Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Feng Hu, Xianquan Wang, Ruikang Li, Qi Liu |
| 2024 | EMNLP | VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. | Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu |
| 2024 | EMNLP | Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models. | Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang |
| 2024 | EMNLP | OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. | Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen |
| 2024 | EMNLP | Retrieved Sequence Augmentation for Protein Representation Learning. | Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong |
| 2024 | EMNLP | I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. | Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu |
| 2024 | EMNLP | Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding. | Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen |
| 2024 | EMNLP | Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models. | Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu |
| 2024 | FCCM | SpGCN: An FPGA-Based Graph Convolutional Network Accelerator for Sparse Graphs. | Xiangzhi Xu, Qi Liu, Wenjin Huang, Wenlu Peng, Yihua Huang |
| 2024 | FPGA | HR-GCN: An Efficient GCN Accelerator for Heterogeneous Graph Data and R-GCN Model. | Shengjun Xu, Wenlu Peng, Wenjin Huang, Qi Liu, Yihua Huang |
| 2024 | GLOBECOM | Multi-Modal Feature Map Fusion Based Jamming Recognition. | Liusiyang Du, Danyang Wang, Zan Li, Qi Liu, Chenxi Li, Jiangbo Si |
| 2024 | ICASSP | Which is the Better Teacher Action? A New Ranking Model and Dataset. | Ming Fang, Xinning Du, Qi Liu, Yunpeng Zhou, Qiwen Liang, Shuhua Liu |
| 2024 | ICASSP | Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition. | Shuai Wang, Qibing Bai, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, Haizhou Li |
| 2024 | ICDAR | Multi-task Learning for License Plate Recognition in Unconstrained Scenarios. | Zhen-Lun Mo, Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin |
| 2024 | ICDE | Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models. | Jun-Peng Zhu, Peng Cai, Boyan Niu, Zheming Ni, Kai Xu, Jiajun Huang, Jianwei Wan, Shengbo Ma, Bing Wang, Donghui Zhang, Liu Tang, Qi Liu |
| 2024 | ICLR | UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science. | Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu |
| 2024 | ICLR | Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. | Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An |
| 2024 | ICML | Federated Self-Explaining GNNs with Anti-shortcut Augmentations. | Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao |
| 2024 | ICML | A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. | Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen |
| 2024 | IJCAI | A Teacher Classroom Dress Assessment Method Based on a New Assessment Dataset. | Ming Fang, Qi Liu, Yunpeng Zhou, Xinning Du, Qiwen Liang, Shuhua Liu |
| 2024 | IJCAI | Making LLMs as Fine-Grained Relation Extraction Data Augmentor. | Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang |
| 2024 | ICRA | An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning. | Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma |
| 2024 | INDIN | The Deployment of Microservice at Edge based on MQTT for Low Latency. | Mengqi Han, Bo Yang, Yuxiang Liu, Sicheng Liu, Qi Liu |
| 2024 | ISCAS | A 128128 CMOS SPAD Receiver for 500Mbps Free Space Optical Communication with Column-wise Decoding and Fast Spot Tracking. | Bu Chen, Zhangcheng Huang, Qi Liu |
| 2024 | KDD | AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. | Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He |
| 2024 | KSEM | Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. | Zirui Hu, Zheng Zhang, Wenjun Feng, Qi Liu |
| 2024 | MICCAI | Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction. | Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, Guohui Chuai, Chao Li, Qi Liu |
| 2024 | MMM | Improving Small License Plate Detection with Bidirectional Vehicle-Plate Relation. | Songkang Dai, Song-Lu Chen, Qi Liu, Chao Zhu, Yan Liu, Feng Chen, Xu-Cheng Yin |
| 2024 | MMM | Irregular License Plate Recognition via Global Information Integration. | Yuan-Yuan Liu, Qi Liu, Song-Lu Chen, Feng Chen, Xu-Cheng Yin |
| 2024 | QRS | A New Improved Method of Recurrent Memory Perception for Radar Echo Extrapolation. | Ru Ji, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2024 | QRS | High Intensity Radar Echo Extrapolation Based on Stacked Generative Structure. | Shiyu Tao, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2024 | QRS | FedCST: Federated Learning on Heterogeneous Resource-constrained Devices Using Clustering and Split Training. | Zhilu Wang, Haiyang Lin, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2024 | WWW | Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. | Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen |
| 2024 | WWW | Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. | Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su |
| 2024 | WWW | Unified Uncertainty Estimation for Cognitive Diagnosis Models. | Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang |
| 2024 | WWW | Cooperative Classification and Rationalization for Graph Generalization. | Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li |
| 2024 | WWW | Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. | Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao |
| 2024 | SIGIR | Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. | Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang |
| 2024 | SIGIR | Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. | Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An |
| 2024 | SIGIR | COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks. | Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song |
| 2024 | SP | Intercepting Bluetooth Traffic from Wearable Health Devices. | Qi Liu, Yizhe Zhang, Yixin Sun |
| 2024 | WSDM | GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. | Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen |
| 2024 | SDM | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2023 | AAAI | Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense. | Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang |
| 2023 | AAAI | Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning. | Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu |
| 2023 | ACL | Enhancing Hierarchical Text Classification through Knowledge Graph Integration. | Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen |
| 2023 | CCS | Fast Unbalanced Private Set Union from Fully Homomorphic Encryption. | Binbin Tu, Yu Chen, Qi Liu, Cong Zhang |
| 2023 | CIKM | Search-Efficient Computerized Adaptive Testing. | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He |
| 2023 | CIKM | Deep Context Interest Network for Click-Through Rate Prediction. | Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei |
| 2023 | CIKM | Understanding the Multi-vector Dense Retrieval Models. | Qi Liu, Jiaxin Mao |
| 2023 | CIKM | Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. | Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian |
| 2023 | CIKM | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | CIKM | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. | Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen |
| 2023 | CIKM | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | CVPR | Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction. | Bin Fan, Yuxin Mao, Yuchao Dai, Zhexiong Wan, Qi Liu |
| 2023 | CVPR | NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation. | Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu |
| 2023 | CVPR | Backdoor Defense via Deconfounded Representation Learning. | Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu |
| 2023 | DAC | TiPU: A Spatial-Locality-Aware Near-Memory Tile Processing Unit for 3D Point Cloud Neural Network. | Jiapei Zheng, Hao Jiang, Xinkai Nie, Zhangcheng Huang, Chixiao Chen, Qi Liu |
| 2023 | DASC | Differential Privacy Protection Based on Federated Learning in Mobile Crowdsensing. | Qi Liu, Yingjie Wang, Weitao Zhao, Xuqiang Qiu |
| 2023 | DASC | A Generative Adversarial Model for Weather Radar Echo Extrapolation based on Cycle Generation Structure. | Jianhao Ma, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASC | A Real-Time Load Forecasting Approach Based on Graph Convolution Neural Network in a Distributed IoT Energy System. | Li Pan, Jixiang Gan, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASC | An Improved Deep Learning-Based Approach to Urban Weather Radar Echo Extrapolation. | Jiawei Sun, Zhiyun Yang, Qi Liu, Yonghong Zhang, Xiaodong Liu |
| 2023 | DASFAA | ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. | Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li |
| 2023 | DASFAA | Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. | Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen |
| 2023 | ECAI | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | EMNLP | SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations. | Yirong Chen, Xiaofen Xing, Jingkai Lin, Huimin Zheng, Zhenyu Wang, Qi Liu, Xiangmin Xu |
| 2023 | EMNLP | Can Language Models Understand Physical Concepts? | Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu |
| 2023 | EMNLP | Interventional Rationalization. | Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang |
| 2023 | HCI | Two Heads Are Better Than One: A Bio-Inspired Method for Improving Classification on EEG-ET Data. | Eric Modesitt, Ruiqi Yang, Qi Liu |
| 2023 | ICASSP | Self-Convolution for Automatic Speech Recognition. | Tianhao Zhang, Qi Liu, Xinyuan Qian, Song-Lu Chen, Feng Chen, Xu-Cheng Yin |
| 2023 | ICCV | LRRU: Long-short Range Recurrent Updating Networks for Depth Completion. | Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai |
| 2023 | ICDAR | End-to-End Multi-line License Plate Recognition with Cascaded Perception. | Song-Lu Chen, Qi Liu, Feng Chen, Xu-Cheng Yin |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | ICDM | Intelligent Practical Teaching Platform based on Data Mining. | Qi Liu, Xiao Chen, Kun Niu, Wanru Zhang, Yiman Gao, Jin Wei |
| 2023 | ICIG | Complex Glyph Enhancement for License Plate Generation. | Yu-Xiang Chen, Qi Liu, Song-Lu Chen, Fang Zhou, Yan Liu, Feng Chen, Xu-Cheng Yin |
| 2023 | ICLR | Molecule Generation For Target Protein Binding with Structural Motifs. | Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu |
| 2023 | ICML | Learning Subpocket Prototypes for Generalizable Structure-based Drug Design. | Zaixi Zhang, Qi Liu |
| 2023 | ICPADS | AH-TDMA: An Adaptive Heterogeneous Tridiagonal Matrix Algorithm on the New Sunway Supercomputer. | Min Tian, Qi Liu, Yanlong Li, Wei Du, Zenghui Ren, Yue Liu |
| 2023 | ICPADS | hcaPCG: A Heterogeneous and communication-avoid PCG with Jacobi preconditioner on SW26010-Pro architecture. | Min Tian, Yue Liu, Li Wang, Yanyan Chen, Qi Liu, Jingshan Pan |
| 2023 | ICPADS | SPM-GCN: An adaptive reordering algorithm for sparse LU factorization via GCN. | Min Tian, Huazeng Liu, Junjie Wang, Qi Liu, Wei Du, Zanjun Zhang |
| 2023 | IJCAI | Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. | Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou |
| 2023 | IJCAI | Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification. | Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng |
| 2023 | IJCAI | Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. | Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi |
| 2023 | IJCAI | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. | Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2023 | IJCAI | Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. | Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu |
| 2023 | Interspeech | InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition. | Zhi-Hao Lai, Tian-Hao Zhang, Qi Liu, Xinyuan Qian, Li-Fang Wei, Feng Chen, Song-Lu Chen, Xu-Cheng Yin |
| 2023 | Interspeech | Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding. | Tian-Hao Zhang, Haibo Qin, Zhi-Hao Lai, Song-Lu Chen, Qi Liu, Feng Chen, Xinyuan Qian, Xu-Cheng Yin |
| 2023 | ISCAS | A $2.53 \mu \mathrm{W}/\text{channel}$ Event-Driven Neural Spike Sorting Processor with Sparsity-Aware Computing-In-Memory Macros. | Hao Jiang, Jiapei Zheng, Yunzhengmao Wang, Jinshan Zhang, Haozhe Zhu, Liangjian Lyu, Yingping Chen, Chixiao Chen, Qi Liu |
| 2023 | ISCAS | A Scalable Die-to-Die Interconnect with Replay and Repair Schemes for 2.5D/3D Integration. | Jie Liao, Bo Jiao, Jinshan Zhang, Shiwei Liu, Hao Jiang, Jun Tao, Wenning Jiang, Qi Liu, Lihua Zhang, Haozhe Zhu, Chixiao Chen |
| 2023 | IECON | DC Fault Current Calculation and Fault Level Analysis in MMC-MVDC System. | Qi Liu, Pingyang Sun, Shan Jiang, Felipe Arrao-Vargas, Georgios Konstantinou |
| 2023 | KDD | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu |
| 2023 | KDD | Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. | Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen |
| 2023 | KDD | Learning Behavior-oriented Knowledge Tracing. | Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang |
| 2023 | KDD | MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer. | Yazheng Yang, Zhou Zhao, Qi Liu |
| 2023 | KDD | Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. | Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen |
| 2023 | MICCAI | Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. | Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo |
| 2023 | MMM | LiteHandNet: A Lightweight Hand Pose Estimation Network via Structural Feature Enhancement. | Zhi-Yong Huang, Song-Lu Chen, Qi Liu, Chong-Jian Zhang, Feng Chen, Xu-Cheng Yin |
| 2023 | MMM | Feature Enhancement and Reconstruction for Small Object Detection. | Chong-Jian Zhang, Song-Lu Chen, Qi Liu, Zhi-Yong Huang, Feng Chen, Xu-Cheng Yin |
| 2023 | QRS | Enhancing Grid-Connected PV System Performance: Loss Analysis and Efficiency Improvement Strategies. | Oscar Famous Darteh, Guojun Wang, Qi Liu, Xiaodong Liu, Amevi Acakpovi |
| 2023 | QRS | Fitting and Peak Searching of Spectrum for Fourier Transform Infrared Spectrometer. | Wanjie Ren, Guojun Wang, Qi Liu, Xia Li, Rui Tuo |
| 2023 | WCNC | Hierarchical Jamming Recognition with Spectrum Fusion Feature and Twin-bound SVM for Cognitive Satellite Communications. | Yi Wei, Shang-Rong Ou-Yang, Chao Li, Qi Liu, Yubi Qian |
| 2023 | WWW | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. | Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |
| 2023 | WWW | MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. | Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen |
| 2023 | WWW | Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. | Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li |
| 2023 | SIGIR | Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang |
| 2023 | SIGIR | Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. | Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang |
| 2023 | SIGIR | A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. | Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen |
| 2022 | AAAI | Anisotropic Additive Quantization for Fast Inner Product Search. | Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen |
| 2022 | AAAI | ProtGNN: Towards Self-Explaining Graph Neural Networks. | Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee |
| 2022 | AAAI | Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma |
| 2022 | ACL | Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. | Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen |
| 2022 | CIKM | A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students. | Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao |
| 2022 | CIKM | A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. | Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu |
| 2022 | CIKM | CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. | Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen |
| 2022 | CVPR | Context-Aware Video Reconstruction for Rolling Shutter Cameras. | Bin Fan, Yuchao Dai, Zhiyuan Zhang, Qi Liu, Mingyi He |
| 2022 | DASC | Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review. | Oscar Famous Darteh, Qi Liu, Xiaodong Liu, Ibrahima Bah, Francis Mawuli Nakoty, Amevi Acakpovi |
| 2022 | DASC | A Load Forecasting Approach Based on Graph Convolution Neural Network. | Jixiang Gan, Li Pan, Yuanyuan Jin, Qi Liu, Xiaodong Liu |
| 2022 | DASC | A BiLSTM-CRF Based Approach to Word Segmentation in Chinese. | Yuanyuan Jin, Shiyu Tao, Qi Liu, Xiaodong Liu |
| 2022 | DASC | PUNet: Convolutional Networks based on Parallel Feature Fusion. | Yang Li, Hui Lu, Qi Liu, Zhiyun Yang, Zihao Wu, Xiaodong Liu |
| 2022 | DASC | A Precipitation Prediction Method Based on UNet and Attention Mechanism. | Jianhao Ma, Jiawei Sun, Qi Liu, Xiaodong Liu |
| 2022 | DASC | A Recent Review of NILM Framework: Development and Challenges. | Maheesha Dhashantha Silva, Qi Liu, Oscar Famous Darteh |