Liu, Qi

147 publications

NeurIPS 2025 A Closed-Form Solution for Fast and Reliable Adaptive Testing Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang

NeurIPS 2025 Activation Control for Efficiently Eliciting Long Chain-of-Thought Ability of Language Models Zekai Zhao, Qi Liu, Kun Zhou, Zihan Liu, Yifei Shao, Zhiting Hu, Biwei Huang

AAAI 2025 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

ICML 2025 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

NeurIPS 2025 Auto-Connect: Connectivity-Preserving RigFormer with Direct Preference Optimization Guojingfeng, Jian Liu, Jinnan Chen, Shiwei Mao, Changrong Hu, Puhua Jiang, Junlin Yu, Jing Xu, Qi Liu, LiXin Xu, Zhuo Chen, Chunchao Guo

NeurIPS 2025 Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization Qi Liu, Xinhao Zheng, Renqiu Xia, Qinxiang Cao, Junchi Yan

ICML 2025 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

IJCAI 2025 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

ICML 2025 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

ICML 2025 CursorCore: Assist Programming Through Aligning Anything Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang

AAAI 2025 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

ICLR 2025 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

AAAI 2025 GenAL: Generative Agent for Adaptive Learning Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu

AAAI 2025 Geometry-Aware 3D Salient Object Detection Network Chen Wang, Liyuan Zhang, Le Hui, Qi Liu, Yuchao Dai

CVPR 2025 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

NeurIPS 2025 Improving Time Series Forecasting via Instance-Aware Post-Hoc Revision Zhiding Liu, Mingyue Cheng, GuanHao Zhao, Jiqian Yang, Qi Liu, Enhong Chen

ICLR 2025 Jailbreaking as a Reward Misspecification Problem Zhihui Xie, Jiahui Gao, Lei Li, Zhenguo Li, Qi Liu, Lingpeng Kong

AAAI 2025 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

ICCV 2025 MSA2: Multi-Task Framework with Structure-Aware and Style-Adaptive Character Representation for Open-Set Chinese Text Recognition Yangfu Li, Hongjian Zhan, Qi Liu, Li Sun, Yu-Jie Xiong, Yue Lu

ICLR 2025 Making Transformer Decoders Better Differentiable Indexers Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Enyun Yu, Yang Song, Han Li, Kun Gai

NeurIPS 2025 Multi-SWE-Bench: A Multilingual Benchmark for Issue Resolving Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Shulin Xin, Linhao Zhang, Qi Liu, Aoyan Li, Lu Chen, Xiaojian Zhong, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, Rui Long, Ming Ding, Liang Xiang

NeurIPS 2025 OCRBench V2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Ling Fu, Zhebin Kuang, Jiajun Song, Mingxin Huang, Biao Yang, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai

NeurIPS 2025 PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, Yunbo Sun, Zeyu Cai, Jiashen Wei, Tianyu Luo, Yixuan Yin, Zhang Haoxu, Yi Hu, Chenyang Wang, Chencheng Tang, Haoling Chang, Qi Liu, Ziheng Zhou, Tianyu Zhang, Jingtian Zhang, Zhangyi Liu, Minghao Li, Yuku Zhang, Boxuan Jing, Xianqi Yin, Yutong Ren, Zizhuo Fu, Jiaming Ji, Weike Wang, Xudong Tian, Anqi Lv, Laifu Man, Jianxiang Li, Feiyu Tao, Qihua Sun, Zhou Liang, Yushu Mu, Zhongxuan Li, Jing-Jun Zhang, Shutao Zhang, Xiaotian Li, Xingqi Xia, Jiawei Lin, Zheyu Shen, Jiahang Chen, Qiuhao Xiong, Binran Wang, Fengyuan Wang, Niziyang, Bohan Zhang, Fan Cui, Shaochangkun, Qing-Hong Cao, Ming-xing Luo, Muhan Zhang, Hua Xing Zhu

NeurIPS 2025 Personalized Visual Content Generation in Conversational Systems Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu

ICML 2025 Position: AI Evaluation Should Learn from How We Test Humans Yan Zhuang, Qi Liu, Zachary Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen

AAAI 2025 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

ICCV 2025 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

ICLR 2025 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, Enyun Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

ICLR 2025 Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-Based Approach Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan

NeurIPS 2025 SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification Zenan Ying, Zhi Zheng, Huijun Hou, Tong Xu, Qi Liu, Jinke Wang, Wei Chen

AAAI 2025 SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li

AAAI 2025 Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis Jinhao Lin, Yifei Wang, Yanwu Xu, Qi Liu

IJCAI 2025 TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu

ICLR 2025 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

ICML 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu

AAAI 2025 Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories Xiaohan Zhang, Zhenyu Sun, Yukui Qiu, Junyan Su, Qi Liu

ICLR 2025 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

AAAI 2025 VERSE: Verification-Based Self-Play for Code Instructions Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su

CVPR 2025 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

IJCAI 2025 WDMIR: Wavelet-Driven Multimodal Intent Recognition Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu

NeurIPS 2025 Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering Yangfu Li, Hongjian Zhan, Tianyi Chen, Qi Liu, Yu-Jie Xiong, Yue Lu

NeurIPS 2024 3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration Liyuan Zhang, Le Hui, Qi Liu, Bo Li, Yuchao Dai

IJCAI 2024 A Teacher Classroom Dress Assessment Method Based on a New Assessment Dataset Ming Fang, Qi Liu, Yunpeng Zhou, Xinning Du, Qiwen Liang, Shuhua Liu

ICML 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

AAAI 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei

AAAI 2024 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

NeurIPS 2024 Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

NeurIPS 2024 Computerized Adaptive Testing via Collaborative Ranking Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

NeurIPS 2024 Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin Lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu

NeurIPS 2024 DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu

ICML 2024 Federated Self-Explaining GNNs with Anti-Shortcut Augmentations Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

NeurIPS 2024 FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling Zaixi Zhang, Mengdi Wang, Qi Liu

NeurIPS 2024 Generalized Protein Pocket Generation with Prior-Informed Flow Matching Zaixi Zhang, Marinka Zitnik, Qi Liu

CVPR 2024 Improving Depth Completion via Depth Feature Upsampling Yufei Wang, Ge Zhang, Shaoqian Wang, Bo Li, Qi Liu, Le Hui, Yuchao Dai

IJCAI 2024 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

CVPRW 2024 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

NeurIPS 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin

MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan

AAAI 2024 R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion Jinxiu Liu, Qi Liu

NeurIPS 2024 SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen

NeurIPS 2024 TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

ICMLW 2024 The Efficacy of Pre-Training in Chemical Graph Out-of-Distribution Generalization Qi Liu, Rosa H. M. Chan, Rose Yu

NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

ICLR 2024 Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An

ECML-PKDD 2024 Towards Few-Shot Self-Explaining Graph Neural Networks Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha

ICLR 2024 UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

AAAI 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen

AAAI 2024 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

AAAI 2024 Π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou

NeurIPS 2023 A Bounded Ability Estimation for Computerized Adaptive Testing Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li

IJCAI 2023 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

NeurIPS 2023 AdaptSSR: Pre-Training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu

NeurIPS 2023 Adaptive Normalization for Non-Stationary Time Series Forecasting: A Temporal Slice Perspective Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen

CVPR 2023 Backdoor Defense via Deconfounded Representation Learning Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu

IJCAI 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng

NeurIPS 2023 Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu

IJCAI 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang

NeurIPS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen

NeurIPS 2023 Full-Atom Protein Pocket Design via Iterative Refinement Zaixi Zhang, Zepu Lu, Hao Zhongkai, Marinka Zitnik, Qi Liu

NeurIPS 2023 GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Haiteng Zhao, Shengchao Liu, Ma Chang, Hannan Xu, Jie Fu, Zhihong Deng, Lingpeng Kong, Qi Liu

CVPR 2023 Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction Bin Fan, Yuxin Mao, Yuchao Dai, Zhexiong Wan, Qi Liu

IJCAI 2023 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

ICCV 2023 LRRU: Long-Short Range Recurrent Updating Networks for Depth Completion Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai

ICML 2023 Learning Subpocket Prototypes for Generalizable Structure-Based Drug Design Zaixi Zhang, Qi Liu

AAAI 2023 Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu

ICLR 2023 Molecule Generation for Target Protein Binding with Structural Motifs Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu

CVPR 2023 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

IJCAI 2023 Towards Incremental NER Data Augmentation via Syntactic-Aware Insertion Transformer Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi

AAAI 2023 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

AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

CVPR 2022 Context-Aware Video Reconstruction for Rolling Shutter Cameras Bin Fan, Yuchao Dai, Zhiyuan Zhang, Qi Liu, Mingyi He

NeurIPS 2022 DARE: Disentanglement-Augmented Rationale Extraction Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen

ICMLW 2022 Evaluating Self-Supervised Learned Molecular Graphs Hanchen Wang, Shengchao Liu, Jean Kaddour, Qi Liu, Jian Tang, Matt Kusner, Joan Lasenby

AAAI 2022 Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma

ICMLW 2022 Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors Zaixi Zhang, Qi Liu, Shengyu Zhang, Chang-Yu Hsieh, Liang Shi, Chee-Kong Lee

NeurIPS 2022 Hierarchical Graph Transformer with Adaptive Node Sampling Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee

AAAI 2022 ProtGNN: Towards Self-Explaining Graph Neural Networks Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee

NeurIPSW 2022 Structural Causal Model for Molecular Dynamics Simulation Qi Liu, Yuanqi Du, Fan Feng, Qiwei Ye, Jie Fu

NeurIPS 2021 Causal Effect Inference for Structured Treatments Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J Kusner, Ricardo Silva

AAAI 2021 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen

AAAI 2021 Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen

ICCV 2021 DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen

IJCAI 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

IJCAI 2021 Guided Attention Network for Concept Extraction Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

AAAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

AAAI 2021 Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou

IJCAI 2021 Item Response Ranking for Cognitive Diagnosis Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang

NeurIPS 2021 Motif-Based Graph Self-Supervised Learning for Molecular Property Prediction Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee

AAAI 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao

IJCAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen

IJCAI 2021 Towards a New Generation of Cognitive Diagnosis Qi Liu

ICCV 2021 Unsupervised Point Cloud Pre-Training via Occlusion Completion Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner

AAAI 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu

AAAI 2020 Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao

AAAI 2020 Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen

IJCAI 2020 Learning the Compositional Visual Coherence for Complementary Recommendations Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei

AAAI 2020 Multi-Task Self-Supervised Learning for Disfluency Detection Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang

AAAI 2020 Neural Cognitive Diagnosis for Intelligent Education Systems Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

AAAI 2020 Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, Weiming Wang

NeurIPS 2020 Sampling-Decomposable Generative Adversarial Recommender Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

IJCAI 2020 Smart Contract Vulnerability Detection Using Graph Neural Network Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He

AAAI 2019 A Radical-Aware Attention-Based Model for Chinese Text Classification Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu

AAAI 2019 Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

IJCAI 2019 Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu

NeurIPS 2019 Hyperbolic Graph Neural Networks Qi Liu, Maximilian Nickel, Douwe Kiela

AAAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen

AAAI 2019 Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He

IJCAI 2019 Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Prediction Yawen Zhang, Qin Lv, Duanfeng Gao, Si Shen, Robert P. Dick, Michael Hannigan, Qi Liu

NeurIPS 2019 Quaternion Knowledge Graph Embeddings Shuai Zhang, Yi Tay, Lina Yao, Qi Liu

AAAI 2018 Confidence-Aware Matrix Factorization for Recommender Systems Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

NeurIPS 2018 Constrained Graph Variational Autoencoders for Molecule Design Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt

AAAI 2018 Exercise-Enhanced Sequential Modeling for Student Performance Prediction Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu

AAAI 2018 Multi-Modal Multi-Task Learning for Automatic Dietary Assessment Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann

IJCAI 2018 Patent Litigation Prediction: A Convolutional Tensor Factorization Approach Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du

AAAI 2017 A Context-Enriched Neural Network Method for Recognizing Lexical Entailment Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv

IJCAI 2017 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen

IJCAI 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang

AAAI 2017 Question Difficulty Prediction for READING Problems in Standard Tests Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu

AAAI 2016 Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang

IJCAI 2016 Natural Supervised Hashing Qi Liu, Hongtao Lu

AAAI 2016 Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng

IJCAI 2015 Cognitive Modelling for Predicting Examinee Performance Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu

IJCAI 2015 Matrix Factorization with Scale-Invariant Parameters Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang

IJCAI 2015 Maximizing the Coverage of Information Propagation in Social Networks Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang

IJCAI 2013 PageRank with Priors: An Influence Propagation Perspective Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang

ECML-PKDD 2012 On Approximation of Real-World Influence Spread Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad