2023

1. Sheng Bi, Long He, Chung Piaw Teo. Taming the Long Tail: the Gambler’s Fallacy in Intermittent Demand Management. Manufacturing & Service Operations Management. 2023.

2. Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke. Cpmr: Context-aware Incremental Sequential Recommendation with Pseudo-multi-task Learning. ACM International Conference on Information and Knowledge Management. 2023.

3. Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu. Long and Short-term Interests Representations and Adjustment for Recommendation. Conference on Artificial Intelligence. 2023.

4. Ke Chen, T.c.e Cheng, Hailiang Huang, Min Ji, Danli Yao. Single-machine Scheduling with Autonomousand Induced Learning to Minimize Totalweighted Number of Tardy Iobs. European Journal of Operational Research. 2023.

5. Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. Mclip: Multilingual Clip via Cross-lingual Transfer. Annual Meeting of the Association for Computational Linguistics. 2023.

6. Chaoyan Chen, Dongmei Han. Detecting Corporate Financial Fraud via Two-stage Mapping in Joint Temporal and Financial Feature Domain. Expert Systems with Applications. 2023.

7. Jian Chen, Jiaquan Yao, Qunzi Zhang, Xiaoneng Zhu. Global Disaster Risk Matters. Management Science. 2023.

8. Xuanjuan Chen, Zhenzhen Sun, Tong Yao, Tong Yu. In Search of Habitat. Review of Asset Pricing Studies. 2023.

9. Wanyun Cui, Xingran Chen. Free Lunch for Efficient Textual Commonsense Integration in Language Models. Annual Meeting of the Association for Computational Linguistics. 2023.

10. Wanyun Cui, Xingran Chen. Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction. Annual Meeting of the Association for Computational Linguistics. 2023.

11. Xiangyu Cui, Duan Li, Yun Shi, Mingjia Zhu. Hybrid Strategy in Multiperiod Mean-variance Framework. Optimization Letters. 2023.

12. Ben Dai, Yixuan Qiu. Rehline: Regularized Composite Relu-rehu Loss Minimization with Linear Computation and Linear Convergence. Annual Conference on Neural Information Processing Systems. 2023.

13. Cuihong Fan, Byoung Heon Jun, Elmar Wolfstetter. Price Leadership, Spying, and Secret Price Changes: a Stackelberg Game with Imperfect Commitment. International Journal of Game Theory. 2023.

14. Cuihong Fan, Byoung Heon Jun, Elmar Wolfstetter. Spying and Imperfect Commitment in First-price Auctions: a Case of Tacit Collusion. Economic Theory Bulletin. 2023.

15. Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang. On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds Where Optimism Fails. Annual Conference on Neural Information Processing Systems. 2023.

16. Ling Feng, Duong Thuy Le, Fan Yuan. Inclusion of the Rmb in Sdrs and the Impossible Trinity in China. Economic Systems. 2023.

17. Xingdong Feng, Yuling Jiao, Lican Kang, Baqun Zhang, Fan Zhou. Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning. Journal of Machine Learning Research. 2023.

18. Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang. Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift. Annual Conference on Neural Information Processing Systems. 2023.

19. Hu Fu, Jiawei Li, Daogao Liu. Pandora Box Problem with Nonobligatory Inspection: Hardness and Approximation Scheme. ACM Symposium on Theory of Computing. 2023.

20. Nikolai Gravin, Enze Sun, Zhihao Tang. Online Ordinal Problems: Optimality of Comparison-based Algorithms and Their Cardinal Complexity. Annual Symposium on Foundations of Computer Science. 2023.

21. Yu Gu, Yongchao Zhang. On the Solvability of Three-agent Task Allocation with Unqualified Agents Priority Structures.. Review of Economic Design. 2023.

22. Qian Guo, Qingfeng Zeng, Lanlan Zhang. What Social Factors Influence Learners’ Continuous Intention in Online Learning? a Social Presence Perspective. Information Technology & People. 2023.

23. Xiao Guo, Yixuan Qiu, Hai Zhang, Xiangyu Chang. Randomized Spectral Co-clustering for Large-scale Directed Networks. Journal of Machine Learning Research. 2023.

24. Jianing Hao, Xiaoling Hao, Zejin Tian, Yu Wang, Daqing Zheng. Effects of Service Attributes and Competition on Electronic Word of Mouth: an Elaboration Likelihood Perspective. Information Technology and Management. 2023.

25. Simai He, Haodong Hu, Bo Jiang, Zhening Li. Approximating Tensor Norms via Sphere Covering: Bridging the Gap Between Primal and Dual. Siam Journal on Optimization. 2023.

26. Qiang He, Wei Qiao, Hui Fang, Yang Bao. Improving the Identification of Mirna–disease Associations with Multi-task Learning on Gene–disease Networks. Briefings in Bioinformatics. 2023.

27. Simin He, Xun Zhu. Real-time Monitoring in a Public-goods Game. Games and Economic Behavior. 2023.

28. Xin He, Yeheng Ge, Xingdong Feng. Structure Learning via Unstructured Kernel-based M-estimation. Electronic Journal of Statistics. 2023.

29. Xin He, Xiaojun Mao, Zhonglei Wang. Nonparametric Augmented Probability Weighting with Sparsity. Computational Statistics & Data Analysis. 2023.

30. Christoph Hertrich, Yixin Tao, Laszlo A. Vegh. Mode Connectivity in Auction Design. Annual Conference on Neural Information Processing Systems. 2023.

31. Wentao Hu, Hui Fang. Decentralized Matrix Factorization with Heterogeneous Differential Privacy. IEEE International Conference on Trust,security and Privacy in Computing and Communications. 2023.

32. Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-hwee Tan. Aspect Sentiment Triplet Extraction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph. Cognitive Computation. 2023.

33. Jianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Tang. Online Resource Allocation in Markov Chains. The Web Conference. 2023.

34. Minqi Jiang, Songqiao Han, Hailiang Huang. Anomaly Detection with Score Distribution Discrimination. ACM Knowledge Discovery and Data Mining. 2023.

35. Bo Jiang, Zizhuo Wang, Chenyu Xue, Nanqian Zhang. Assortment Optimization in the Presence of Focal Effect: Operational Insights and Efficient Algorithms. International Workshop on Internet and Network Economics. 2023.

36. Yaonan Jin, Pinyan Lu. First Price Auction Is 1/e2 Efficient. Journal of the ACM. 2023.

37. Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou. Variance Control for Distributional Reinforcement Learning. International Conference on Machine Learning. 2023.

38. Yuan Le, Fan Zhou, Yang Bai. Reinforced Mixture Learning. Neural Networks. 2023.

39. Yiran Li, Chaolin Yang. Managing Inventory Systems with Dual Delivery Modes and Minimum Order Quantity. Naval Research Logistics. 2023.

40. Xinmiao Li, Xipeng Liu. The Impact of the Collaborative Innovation Network Embeddedness on Enterprise Green Innovation Performance. Frontiers in Environmental Science. 2023.

41. Ting Li, Chengchun Shi, Jianing Wang, Fan Zhou, Hongtu Zhu. Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making. Annual Conference on Neural Information Processing Systems. 2023.

42. Jingxun Liang, Zhihao Tang, Yixuan Xu, Yuhao Zhang, Renfei Zhou. On the Perturbation Function of Ranking and Balance for Weighted Online Bipartite Matching. European Symposium on Algorithms. 2023.

43. Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen. Privaterec: Differentially Private Model Training and Online Serving for Federated News Recommendation. ACM Knowledge Discovery and Data Mining. 2023.

44. Wanting Luo, Shengsheng Xiao, Xiaorong Zhang. Fighting Fire with Fire: the Impact of Radical Automotive Facelift Decision on Sales. Expert Systems with Applications. 2023.

45. Shaogao Lv, Xin He, Junhui Wang. Kernel-based Estimation for Partially Functional Linear Model: Minimax Rates and Randomized Sketches. Journal of Machine Learning Research. 2023.

46. Yuxin Ni, Yunwen Xia, Hui Fang, Chong Long, Xinyu Kong, Daqian Li, Yang Dong, Jie Zhang. Metacrs: a Dynamic Meta-learning Approach for Effective Conversational Recommender System. ACM Transactions on Information Systems. 2023.

47. Ioannis Panageas, Efstratios Panteleimon Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher. Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-regret Guarantees. International Conference on Machine Learning. 2023.

48. Yun Shi, Duan Li, Xiangyu Cui. Time Consistent in Efficiency Dynamic Mean–variance Policy. Journal of the Operational Research Society. 2023.

49. Yun Shi, N. Hall, Xiangyu Cui. Work More Tomorrow: Resolving Present Bias in Project Management. Operations Research. 2023.

50. Yun Shi, Xiangyu Cui, Xunyu Zhou. Beta and Coskewness Pricing: Perspective From Probability Weighting. Operations Research. 2023.

51. Yun Shi, Duan Li, Xiangyu Cui. The Self-coordination Mean-variance Strategy in Continuous Time. Rairo-operations Research. 2023.

52. Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou. Adversarial Learning of Distributional Reinforcement Learning. International Conference on Machine Learning. 2023.

53. Yang Sui, Xin He, Yang Bai. Implicit Regularization in Over-parameterized Support Vector Machine. Annual Conference on Neural Information Processing Systems. 2023.

54. Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-soon Ong, Jie Zhang. Daisyrec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2023.

55. Zhihao Tang, Xiaowei Wu, Yuhao Zhang. Toward a Better Understanding of Randomized Greedy Matching. Journal of the ACM. 2023.

56. Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen. Stylebart: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation. Conference on Empirical Methods in Natural Language Processing. 2023.

57. Chuchu Wang, Chaolin Yang, Tao Zhang. Order Planning with an Outsourcing Strategy for a Make-to-order/ Make-to-stock Production System Using Particle Swarm Optimization with a Self-adaptive Genetic Operator. Computers & Industrial Engineering. 2023.

58. Liangquan Wang, Chaolin Yang. Robust Multi-echelon Inventory Management with Multiple Suppliers. Naval Research Logistics. 2023.

59. Huizi Wu, Cong Geng, Hui Fang. Causality and Correlation Graph Modeling for Effective and Explainable Session-based Recommendation. ACM Transactions on the Web. 2023.

60. Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-soon Ong. A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. IEEE International Conference on Data Engineering. 2023.

61. Lihua Xia, Dongmei Han, Haijian Chen, Yonghui Dai. The Effects of Information Format on Learners’ Experience. Innovations in Education and Teaching International. 2023.

62. Yi Xiang, Haoran Sun, Wenting Tu, Zejin Tian. Tsfrn: Integrated Time and Spatial-frequency Domain Based on Triple-links Residual Network for Sales Forecasting. IEEE International Conference on Tools with Artificial Intelligence. 2023.

63. Yi Xiang, Yujie Ding, Wenting Tu. Dluio: Detecting Useful Investor Opinions by Deep Learning. International Conference on Artificial Neural Networks. 2023.

64. Yi Xiang, Haoran Sun, Wenting Tu. Hdresnet: Hierarchical-decomposition Residual Network for Hierarchical Time Series Forecasting. International Joint Conference on Neural Networks. 2023.

65. Run Yang, Yuling Yang, Fan Zhou, Qiang Sun. Directional Diffusion Models for Graph Representation Learning. Annual Conference on Neural Information Processing Systems. 2023.

66. Qing Yin, Hui Fang, Sun Zhu, Yew-soon Ong. Understanding Diversity in Session-based Recommendation. ACM Transactions on Information Systems. 2023.

67. Jie Yu, Shengsheng Xiao. Project Certification and Screening in the Reward-based Crowdfunding Market. Journal of Business Research. 2023.

68. Qingfeng Zeng, Qian Guo, Wei Zhuang, Yu Zhang, Weiguo Fan. Do Real Time Reviews Matter? Examining How Bullet Screen Infuences Consumers’ Purchase Intention in Live Streaming Commerce. Information Systems Frontiers. 2023.

69. Tao Zhang, Yaowu Zhang, Tingyou Zhou. Statistical Insights Into Hsic in High Dimensions. Annual Conference on Neural Information Processing Systems. 2023.

70. Jianzhang Zhang, Yiyang Chen, Chuang Liu, Nan Niu, Yinglin Wang. Empirical Evaluation of Chatgpt on Requirements Information Retrieval Under Zero-shot Setting. Proceedings of 2023 2nd International Conference on Intelligent Computing and Next Generation Networks. 2023.

71. Xiaorong Zhang, Hailiang Huang, Shengsheng Xiao. Behind the Scenes: the Role of Writing Guideline Design in Online Charitable Crowdfunding Market. Information & Management. 2023.

72. Wei Zhuang, Qingfeng Zeng, Yu Zhang, Chunmei Liu, Weiguo Fan. What Makes User-generated Content More Helpful on Social Media  Platforms? Insights From Creator Interactivity Perspective. Information Processing & Management. 2023.

73. 关欣佳, 刘兰娟, 黄欣. 数字经济产业的税收和投资溢出效应研究 ——基于上海CGE模拟分析. 上海财经大学学报. 2023.

74. 冯玲, 袁帆, 刘小逸. 工业机器人与企业创新——来自中国制造业企业的证据. 经济学季刊. 2023.

75. 刘承昊, 刘冲, 刘莉亚. 影子银行监管的风险防范和信贷紧缩效应——来自资管新规的证据. 金融研究. 2023.

76. 刘莉亚, 李涛. 金融开放深化提升了银行绩效吗？——来自中国金融开放冲击的证据. 财经研究. 2023.

77. 刘冲, 曾琪, 刘莉亚. 金融强监管、存贷长期化与企业短债长用. 经济研究. 2023.

78. 唐一鸣, 胡盛锠, 龙宇航, 黄涛. 网络数据异质非参数模型的同质追踪. 应用数学学报. 2023.

79. 彭烨, 张志远. 信息不对称下成交量与波动率关系建模与统计推断. 统计研究. 2023.

80. 朱小能, 许帆. 基金自持能赢得投资者信任吗？. 证券市场导报. 2023.

81. 朱小能, 李雄一. 数据要素资产价格、交易收益与效用研究. 经济学动态. 2023.

82. 朱小能, 白楠楠. 企业社会责任对公司债发行定价的影响研究. 社会科学. 2023.

83. 李艳红, 任俊宇, 孙希文, 黄海量. AI 辅助肺结节诊断的可视化知识图谱分析. 中国医学计算机成像杂志. 2023.

84. 李明辉, 谭姝颖, 刘莉亚, 方培杰. 银行流动性创造效率的测度及全球时空特征与启示——来自全球72个国家的证据. 国际金融研究. 2023.

85. 汪潇, 杨超林. 考虑消费者损失厌恶的商品试用及质量评分披露机制研究. 管理工程学报. 2023.

86. 汪潇, 杨超林. 在线点评场景中考虑消费者损失厌恶的动态定价. 中国管理科学. 2023.

87. 葛璐澜, 李志远, 柳永明, 冯玲. 地产调控政策、投资与中国经济波动. 南开经济研究. 2023.

88. 蔡岑, 殷晓晴, 陈选娟. 金融科技创新路径选择与银行经营效率. 财经研究. 2023.

89. 邵志芳, 方伟. 考虑逐小时负荷匹配的风光储微网容量配置优化. 郑 州 航 空 工 业 管 理 学 院 学 报. 2023.

90. 闵敏, 刘莉亚, 陈瑞华, 赵凡青. 非言语维度的信息重要吗？—基于投资者电话交流会信号博弈的实证研究. 管理科学学报. 2023.

2024

1. Torben G. Andersen, Tao Su, Viktor Todorov, Zhiyuan Zhang. Intraday Periodic Volatility Curves. Journal of the American Statistical Association. 2024.

2. Opher Baron, Chang Deng, Simai He, Hongsong Yuan. Forecasting Using Reference Prices with Exposure Effect. Naval Research Logistics. 2024.

3. T.-h. Hubert Chan, Zhihao Tang, Quan Xue. Max-min Greedy Matching Problem: Hardness for the Adversary and Fractional Variant. Theoretical Computer Science. 2024.

4. Liyan Chen, Nuozhou Sun, Zhihao Tang. Setting Targets Is All You Need: Improved Order Competitive Ratio for Online Selection. ACM Conference on Economics and Computation. 2024.

5. Yun Chen, Cong Yu. The Connectedness Between Three Traditional Assets and Cryptocurrency During the Covid-19 Pandemic and Russia–ukraine Conflicts. Applied Economics Letters. 2024.

6. Wanyun Cui, Qianle Wang. Ada-instruct: Adapting Instruction Generators for Complex Reasoning. Conference on Empirical Methods in Natural Language Processing. 2024.

7. Wanyun Cui, Linqiu Zhang. Modeling Knowledge Graphs with Composite Reasoning. Conference on Artificial Intelligence. 2024.

8. Xiangyu Cui, Jianjun Gao, Lingjie Kong, Yun Shi. Limited Attention Allocation in a Stochastic Linear Quadratic System with Multiplicative Noise. IEEE Transactions on Automatic Control. 2024.

9. Qi Deng, Qing Feng, Wenzhi Gao, Dongdong Ge, Bo Jiang, Yuntian Jiang, Jingsong Liu, Tianhao Liu, Chenyu Xue, Yinyu Ye, Chuwen Zhang. An Enhanced Alternating Direction Method of Multipliers-based Interior Point Method for Linear and Conic Optimization. Informs Journal on Computing. 2024.

10. Antoine D′esir, Vineet Goyal, Bo Jiang, Tian Xie, Jiawei Zhang. Robust Assortment Optimization Under the Markov Chain Choice Mode. Operations Research. 2024.

11. Tomer Ezra, Michal Feldman, Zhihao Tang. Choosing Behind the Veil: Tight Bounds for Identity-blind Online Algorithms. ACM Conference on Economics and Computation. 2024.

12. Yumou Fei, Leslie Ann Goldberg, Pinyan Lu. Two-state Spin Systems with Negative Interactions. Innovations in Theoretical Computer Science. 2024.

13. Yi Feng, Georgios Piliouras, Xiao Wang. Prediction Accuracy of Learning in Games : Follow-the-regularized-leader Meets Heisenberg. International Conference on Machine Learning. 2024.

14. Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang. Last-iterate Convergence Separation Between Extra-gradient and Optimism in Constrained Periodic Games. International Conference on Uncertainty in Artificial Intelligence. 2024.

15. Ling Feng, Tingting Pei, Zhiguang Zhou. The Impact of U.s. Monetary Policy on Chinese Firms’ Innovation. International Review of Economics & Finance. 2024.

16. Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang. Deep Nonparametric Quantile Regression Under Covariate Shift. Journal of Machine Learning Research. 2024.

17. Hu Fu, Pinyan Lu, Zhihao Tang, Hongxun Wu, Jinzhao Wu, Qianfan Zhang. Sample-based Matroid Prophet Inequalities. ACM Conference on Economics and Computation. 2024.

18. Jianjun Gao, Yaoming Li, Yun Shi, Jinyan Xie. Multi-period Portfolio Choice Under Loss Aversion with Dynamic Reference Point in Serially Correlated Market. Omega--international Journal of Management Science. 2024.

19. Jianjun Gao, Zizhuo Wang, Weiping Wu, Dian Yu. Price Interpretability of Prediction Markets:  a Convergence Analysis. Operations Research. 2024.

20. Jianjun Gao, Duan Li, Jinyan Xie, Yiwen Yang, Jing Yao. When Prospect Theory Meets Mean-reverting Asset Returns: a Behavioral Dynamic Trading Model. Journal of Banking and Finance. 2024.

21. Yaoxin Ge, Yao Zhang, Dengji Zhao, Zhihao Tang, Hu Fu, Pinyan Lu. Incentives for Early Arrival in Cooperative Games. Autonomous Agents and Multi-agent Systems. 2024.

22. Nikolai Gravin, Zhiqi Wang. On Robustness to K-wise Independence of Optimal Bayesian Mechanisms. Annual Symposium on Foundations of Computer Science. 2024.

23. Nikolai Gravin, Yixuan Even Xu, Renfei Zhou. Bidder Selection Problem in Position Auctions: a Fast and Simple Algorithm via Poisson Approximation. The Web Conference. 2024.

24. Yu Gu, Yongchao Zhang. On Two Mechanisms in Job Rotation Problems. Journal of Mathematical Economics. 2024.

25. Jiewen Guan, Simai He, Bo Jiang, Zhening Li. L_p Sphere Covering and Approximating Nuclear P-norm. Mathematics of Operations Research. 2024.

26. Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Li, Songqiao Han, Hailiang Huang. Sample Design Engineering: an Empirical Study on Designing Better Fine-tuning Samples for Information Extraction with Llms. Conference on Empirical Methods in Natural Language Processing. 2024.

27. Dongmei Han, Lifeng He, Wenfei Zhao, Xiaohang Zhou. What Constitutes a Helpful Health-related Answer? the Impacts of Emotional Content and Question-answer Congruence. Journal of Global Information Management. 2024.

28. Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang. Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity. International Conference on Machine Learning. 2024.

29. Qiang He, Zheng Feng, Hui Fang, Xingwei Wang, Liang Zhao, Yudong Yao, Keping Yu. A Blockchain-based Scheme for Secure Data Offloading in Healthcare with Deep Reinforcement Learning. IEEE-acm Transactions on Networking. 2024.

30. Simin He, Simas Kucinskas. Expectation Formation with Correlated Variables. Economic Journal. 2024.

31. Simin He, Xinlu Zou. Public Goods Provision in a Network Formation Game. Journal of Economic Behavior & Organization. 2024.

32. Simin He, Xintong Pan. Advice and Behavior in a Dictator Game: an Experimental Study. Journal of Behavioral and Experimental Economics. 2024.

33. Simin He, Jiabin Wu, Hanzhe Zhang, Xun Zhu. Decentralized Matching with Transfers: Experimental and Noncooperative Analyses. American Economic Journal-microeconomics. 2024.

34. Yu He, Rong Lu, Hu Yang, Bin Zhang. Wealthy Individual Investors and Stock Markets’ Tail Risk. Plos One. 2024.

35. Haodong Hu, Bo Jiang, Zhening Li. On Spectral and Nuclear Norms of Order Three Tensors with One Fixed Dimension. Siam Journal on Matrix Analysis and Applications. 2024.

36. Wentao Hu, Hui Fang. Towards Differential Privacy in Sequential Recommendation: a Noisy Graph Neural Network Approach. ACM Transactions on Knowledge Discovery From Data. 2024.

37. Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao. Adgym: Design Choices for Deep Anomaly Detection. Annual Conference on Neural Information Processing Systems. 2024.

38. Yaonan Jin, Pinyan Lu. Benchmark-tight Approximation Ratio of Simple Mechanism for a Unit-demand Buyer. Annual Symposium on Foundations of Computer Science. 2024.

39. Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen. Setar: Out-of-distribution Detection with Selective Low-rank Approximation. Annual Conference on Neural Information Processing Systems. 2024.

40. Yiran Li, Chaolin Yang. Managing the Two Echelon Distribution Systems with Dual Delivery Modes. Or Spectrum. 2024.

41. Kevin Lin, Yixuan Qiu, Kathryn Roeder. Esvd-de: Cohort-wide Differential Expression in Single-cell Rna-seq Data Using Exponential-family Embeddings. Bmc Bioinformatics. 2024.

42. Xipeng Liu, Xinmiao Li. The Impact of Patentees Assessment Based on the Heterogeneous Patent Innovation Network. Heliyon. 2024.

43. Xipeng Liu, Xinmiao Li. Unbiased Evaluation of Ranking Algorithms Applied to the Chinese Green Patents Citation Network. Scientometrics. 2024.

44. Xue Liu, Ning Zhang, Xiaoling Hao. A Strategic Model for Service Oriented Enterprises Based on Online  Reviews: the Research of Budget Hotel Chains in China. Information Technology and Management. 2024.

45. Xue Liu, Xiaoling Hao. Do Dynamic Signals Affect High-quality Solvers’ Participation Behavior? Evidence From the Crowdsourcing Platform. Journal of Theoretical and Applied Electronic Commerce Research. 2024.

46. Pinyan Lu, Zongqi Wan, Jialin Zhang. Competitive Auctions with Imperfect Predictions. ACM Conference on Economics and Computation. 2024.

47. Taylor Lundy, Narun Raman, Hu Fu, Kevin Leyton-brown. Pay to (not) Play: Monetizing Impatience in Mobile Games. Conference on Artificial Intelligence. 2024.

48. Bo Peng, Zhihao Tang. Optimal Robust Contract Design. ACM Conference on Economics and Computation. 2024.

49. Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun. Delta-come: Training-free Delta-compression with Mixed-precision for Large Language Models. Annual Conference on Neural Information Processing Systems. 2024.

50. Chuan Qin, Jun Chang, Wenting Tu, Zhangrui Yu. Followakoinvestor: Stock Recommendation by Hearing Voices From All Kinds of Investors with Machine Learning. Expert Systems with Applications. 2024.

51. Kang Rong, Qianfeng Tang, Yongchao Zhang. The Core of School Choice Problems. Economic Theory. 2024.

52. Engchun Shi, Zhengling Qi, Jianing Wang, Fan Zhou. Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization. Journal of the American Statistical Association. 2024.

53. Yun Shi, Lingjie Kong, Lanzhi Yang, Li Duan, Xiangyu Cui. Dynamic Mean-variance Portfolio Selection Under Factor Models. Journal of Economic Dynamics & Control. 2024.

54. Haoran Sun, Wenting Tu, Jiajie Zhan, Wanting Zhao. Hiernbeats: Hierarchical Neural Basis Expansion Analysis for Hierarchical Time Series Forecasting. International Conference on Artificial Neural Networks. 2024.

55. Yingwen Tan, Zhiyuan Zhang. Inference for Calendar Effects in Microstructure Noise. Journal of Time Series Analysis. 2024.

56. Yingwen Tan, Zhensi Tan, Yinfen Tang, Zhiyuan Zhang. Functional Volatility Forecasting. Journal of Forecasting. 2024.

57. Zhihao Tang, Yuhao Zhang. Improved Bounds for Fractional Online Matching Problems. ACM Conference on Economics and Computation. 2024.

58. Zihao Tang, Yixuan Qiu. Safe and Sparse Newton Method for Entropic-regularized Optimal Transport. Annual Conference on Neural Information Processing Systems. 2024.

59. Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun. Lora-flow: Dynamic Lora Fusion for Large Language Models in Generative Tasks. Annual Meeting of the Association for Computational Linguistics. 2024.

60. Rui Wang, Chuwen Zhang, Shanwen Pu, Jianjun Gao, Zaiwen Wen. A Customized Augmented Lagrangian Method for Block-structured Integer Programming. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.

61. Liangquan Wang, Chaolin Yang. Robust Multi‐echelon Inventory Management with Multiple Suppliers. Naval Research Logistics. 2024.

62. Chao Wang, Bing Xin, Xin He, Caixing Wang. Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features. International Conference on Machine Learning. 2024.

63. Chao Wang, Xin He, Yuwen Wang, Junhui Wang. On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity. Annual Conference on Neural Information Processing Systems. 2024.

64. Huizi Wu, Cong Geng, Hui Fang. Session Based Recommendation by Exploiting Substitutable and Complementary Relationships From Multi Behavior Data. Data Mining and Knowledge Discovery. 2024.

65. Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen. Distract Large Language Models for Automatic Jailbreak Attack. Conference on Empirical Methods in Natural Language Processing. 2024.

66. Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen. Pacit: Unlocking the Power of Examples for Better In-context. Annual Meeting of the Association for Computational Linguistics. 2024.

67. Dandan Xue, Zhifang Shao. Patent Text Mining Based Hydrogen Energy Technology Evolution Path Identification. International Journal of Hydrogen Energy. 2024.

68. Xin Yan, Hui Fang, Qiang He. Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks. Annual Conference on Neural Information Processing Systems. 2024.

69. Cong Yu, Yun Chen. The Impact of Regulatory Ban on Connectedness of Cryptocurrency Market. Applied Economics Letters. 2024.

70. Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhenglin Qi, Fan Zhou, Chengchun Shi. Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning. Annual Conference on Neural Information Processing Systems. 2024.

71. Huiling Yuan, Yong Zhou, Zhiyuan Zhang, Xiangyu Cui. Volatility Analysis for the Garch-ito Model with Option Data. Canadian Journal of Statistics. 2024.

72. Lin Yue, Lili Cui. A Self-determination Perspective of Digital Inclusion: a Case Study of Bridging the Digital Divide in Rural China. Journal of Global Information Management. 2024.

73. Yaowu Zhang, Liping Zhu. Projective Independence Tests in High Dimensions: the Curses and the Cures. Biometrika. 2024.

74. Yaowu Zhang, Yeqing Zhou, Liping Zhu. A Post-screening Diagnostic Study for Ultrahigh Dimensional Data. Journal of Econometrics. 2024.

75. Siyuan Zhu, Rong Lu, Tianli Xu, Wenbin Wu, Yang Chen. Can Common Institutional Owners Inhibit Bad Mergers and Acquisitions? Evidence From China. International Review of Economics & Finance. 2024.

76. 冯玲, 刘小逸, 袁帆. 投入品预期关税减让与企业投资——基于中国入世过渡期的分析. 经济学季刊. 2024.

77. 冯玲, 贾东升. 一带一路：中国对外投资的’ 破’与’ 立’. 北大金融评论. 2024.

78. 刘雪, 郝晓玲, 王诣铭. 数据要素市场化赋能新质生产力——基于高端要素集聚的视角. 通往复兴之路：新质生产力理论前沿. 2024.

79. 刘莉亚, 闵敏. 健全宏观经济治理体系. 解放日报·理论版. 2024.

80. 吕之安, 刘莉亚, 谭姝颖, 闵敏. 央行沟通“简明—专业”权衡与公众行动. 经济研究. 2024.

81. 周亭攸, 张耀武, 朱利平. 超高维参数单指标模型的拟合优度检验. 中国科学. 2024.

82. 苏涛, 张志远. 金融高频数据中微观结构噪声的日历效应估计. 应用数学学报. 2024.

83. 陆晓琴, 冯玲, 裴婷婷. 进口自由化与企业资本结构选择. 经济学季刊. 2024.

84. 陆蓉, 闫自信. 投资者重视股价还是收益率？——股市过度波动的新解释. 经济学动态. 2024.

85. 陆蓉, 朱天丽, 徐天丽. 股指成份股调整与公司投资效率，《南开管理评论》第2期. 南开管理评论. 2024.

86. 陆蓉, 吕静, 王怡靓. 党建生态群与供应链韧性. 财经研究. 2024.

87. 黄海量, 黄欣. 以大模型赋能科技金融. 解放日报·理论版. 2024.

88. 黄海量, 郝晓玲, 张丽慧. 财经类高校计算机类课程改革探析. 上海财经大学学报. 2024.

2025

1. Torben G. Andersen, Yingwen Tan, Viktor Todorov, Zhiyuan Zhang. Testing Mean Stationarity of Intraday Volatility Curves. Quantitative Economics. 2025.

2. Zixuan Chen, Songqiao Han, Hailiang Huang, You Wu. Cpjn: News Recommendation with a Content and Popularity Joint Network. Neural Networks. 2025.

3. Yanzhou Chen, Tianxuan Ding, Xiufang Wang, Yaowu Zhang. A Robust and Powerful Metric for Distributional Homogeneity. Statistica Neerlandica. 2025.

4. Haoran Chen, Dongmei Han. Problematic News Topic Spreader Prediction via Uncertainty-based Contrastive Learning for Marked Temporal Point Processes. IEEE International Conference on Tools with Artificial Intelligence. 2025.

5. Yibo Deng, Xin He, Shaogao Lv. Efficient Learning of Nonparametric Directed Acyclic Graph with Statistical Guarantee. Statistica Sinica. 2025.

6. Tianxuan Ding, Zhimei Li, Yaowu Zhang. Testing the Equality of Distributions Using Integrated Maximum Mean Discrepancy. Journal of Statistical Planning and Inference. 2025.

7. Yumou Fei, Leslie Ann Goldberg, Pinyan Lu. Two-state Spin Systems with Negative Interaction. Information and Computation. 2025.

8. Yi Feng, Xiao Wang, Tian Xie. Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management. Aaai Conference on Artificial Intelligence. 2025.

9. Ling Feng, Zhiyuan Li, Yixuan Liu, Yahong Zhou. Did Fintech Steal the Cheese of Banks? Evidence From Chinese Firm Exports. China Economic Review. 2025.

10. Jianjun Gao, Siya Liu, Weiping Wu, Yu Lin, Ke Zhou. Dynamic Mean-variance Hybrid Portfolio Optimization with Spectral Risk Regulation. Operations Research Letter. 2025.

11. Xin Guo, Haotian Xia, Zhaowei Liu, Hanyang Cao, Zhi Yang, Zhiqiang Liu, Sizhe Wang, Chuqi Wang, Yanhui Wang, Xiaolong Liang, Xiaoming Huang, Bing Zhu, Zhongyu Wei, Yun Chen, Weining Shen, Liwen Zhang. Owledge Evaluation Benchmark for Large Language Models. The Annual Conference of the North American Chapter of the Association for Computational Linguistics. 2025.

12. Dongmei Han, Wenfei Zhao, Zhiliang Pang, Zhengze Wu. What Does Leveling up Bring? a Study on the Ex Post Incentives of the Hierarchical Privilege Levels in Online Brand Communities. Computers in Human Behavior. 2025.

13. Chang He, Yuntian Jiang, Chuwen Zhang, Dongdong Ge, Bo Jiang, Yinyu Ye. Homogeneous Second-order Descent Framework: a Fast Alternative to Newton-type Methods. Mathematical Programming. 2025.

14. Tao Huang, Youquan Pei, You Jinhong, Wenyang Zhang. A Flexible and Parsimonious Modelling Strategy for Clustered Data Analysis. Annals of Applied Statistics. 2025.

15. Chengneng Jin, Jianjun Gao. Managing Risk Across Time: an Intertemporal Spectral Risk Measures Framework for Multi-period Portfolio Optimization. Mathematics. 2025.

16. Hang Li, Feng Wei, Kedong Yan, Yaowu Zhang. Assessing the Exhaustiveness in Sufficient Dimension Reduction. Stat. 2025.

17. Xipeng Liu, Xinmiao Li, Jinpeng Liu. A Novel Unsupervised Learning Framework for Measuring the Technological Innovation of Patents. Scientometrics. 2025.

18. Jinpeng Liu, Xinmiao Li, Xipeng Liu. Monetary Rewards or Comment Recognition? the Difference Between the Two Types of Feedback in Online Q&a Community. Information Technology and People. 2025.

19. Jinpeng Liu, Weiguo Fan, Xinmiao Li, Xipeng Liu. What Drives Users’ Knowledge Payment Behaviour? the Moderating Role of Knowledge Expertise and Social Identity. Behaviour & Information Technology. 2025.

20. Wenfan Ou, Sheng Bi. Sequential Decision-making Under Uncertainty: a Robust Mdps Review. Annals of Operations Research. 2025.

21. Zhiliang Pang, Dongmei Han, Wenfei Zhao, Zhengze Wu. Becoming a Celebrity! Gaining Benefits and Competitive Advantage Through Scheduled Release Strategy. Asia Pacific Journal of Marketing and Logistics. 2025.

22. Siyu Sun, Yiming Wang, Jiale Cheng, Zhiying Xiao, Daqing Zheng, Xiaoling Hao. Improving the Performance of Answers Ranking in Q&a Communities: a Long-text Matching Technique and Pre-trained Model. IEEE Access. 2025.

23. Jing Wang, Yinglin Wang, Yitong Yang, Tian Zhang. Valuepeft: an Effective Method for Human Values Controllable in Llms. IEEE International Conference on Tools with Artificial Intelligence. 2025.

24. Hanqing Wang, Yixia Li, Shuo Wang, Guanhua Chen, Yun Chen. Milora: Harnessing Minor Singular Components for Parameter-efficient Llm Finetuning. North American Chapter of the Association for Computational Linguistics. 2025.

25. Xuan Wang, Tao Huang, Wenping Zhang, Qingfeng Zeng, Xin Sun. Is Information Normalization  Helpful in Online Communication?  Evidence From Online  Healthcare Consultation. Internet Research. 2025.

26. Jilan Wu, Shanshan Shang, Huifang Qu, Qingfeng Zeng. Danmaku in the Serious Live Streaming Context: the Mediating Roles of Self-determination and Cognitive Load. Information Technology & Management. 2025.

27. Xingpeng Xu, Qingfeng Zeng, Ri Na, Weiguo Fan. Unveiling the Influence of Streamer Characteristics on Sales Performance in  Live Streaming Commerce. Electronic Commerce Research and Applications. 2025.

28. Yitong Yang, Yinglin Wang, Tian Zhang, Jing Wang, Shuting He. Prompt-softbox-prompt: a Free-text Embedding Control for Image Editing. ACM International Conference on Multimedia. 2025.

29. Shuguang Yu, Wenqian Xu, Xinyi Zhou, Xuechun Wang, Hongtu Zhu, Fan Zhou. Enhancing Prediction Performance Through Influence Measure. The International Conference on Learning Representations. 2025.

30. Qingfeng Zeng, Li Lin, Rui Jiang, Weiyu Huang, Dijia Lin. Nnensleg: a Novel Approach for E-commerce Payment Fraud Detection Using Ensemble Learning and Neural Networks. Information Processing and Management. 2025.

31. Yaowu Zhang, Yeqing Zhou, Liping Zhu. Interval Quantile Correlations with Applications to Testing High-dimensional Quantile Effects. Journal of Econometrics. 2025.

32. Chuwen Zhang, Chang He, Yuntian Jiang, Chenyu Xue, Bo Jiang, Dongdong Ge, Yinyu Ye. A Homogeneous Second-order Descent Method for Nonconvex Optimization. Mathematics of Operations Research. 2025.

33. Wei Zhuang, Qingfeng Zeng, Yu Zhang, Dijia Lin, Weiguo Fan. What Makes Ugc More Popular on Social Media Platforms? Insights From Information Adoption Theory. Behaviour & Information Technology. 2025.

34. 刘莉亚, 金成. 以天使投资助推科技创新. 光明日报·理论版. 2025.

35. 刘莉亚, 汪婵. 红色金融的造血与输血. 解放日报·理论版. 2025.

36. 刘莉亚, 杨修琦. 完善科技金融体系. 解放日报·理论版. 2025.

37. 李亭, 杨珂凡, 冯玲. 数字金融与农户家庭消费： 理论线索与微观证据. 经济体制改革. 2025.

38. 陆晓琴, 俞天芬, 李亭, 冯玲. 中国企业“走出去”和融资结构调整. 金融评论. 2025.

39. 陆蓉, 陈凯. 金融强监管与股票错误定价：来自资管新规的经验证据. 经济理论与经济管理. 2025.

40. 陆蓉, 王麒. “昼伏夜出”的特质波动率之谜——股价“低开高走”的经济学含义. 经济学季刊. 2025.

41. 陆蓉, 张瑞瑞, 闵思凯. 量化交易的市场价值效应——信息优势的作用. 管理世界. 2025.