Selected Paper Publications: (80+)
[82] Zijing Zhang , Ziyang Chen, Mingxiao Li , Zhaopeng Tu , and Xiaolong Li, "RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents," https://arxiv.org/pdf/2507.22844, code available at https://github.com/Tencent/DigitalHuman/tree/main/RLVMR . 报道文章见链接。
[81] Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li , "RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents," https://arxiv.org/abs/2507.03112 , code available at https://github.com/Tencent/digitalhuman/tree/main/RLVER . 报道文章见链接。
[80] Bang Zhang, Ruotian Ma, Qingxuan Jiang, Peisong Wang, Jiaqi Chen, Zheng Xie, Xingyu Chen, Yue Wang, Fanghua Ye, Jian Li, Yifan Yang, Zhaopeng Tu, Xiaolong Li, "Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in LLMs," submitted to NeurIPS'2025, https://arxiv.org/abs/2505.02847, SAGE project and leaderboard also available at https://github.com/Tencent/digitalhuman/tree/main/SAGE. 报道文章见链接。
[79] Mingxiao Li, Na Su, Fang Qu, Zhizhou Zhong, Ziyang Chen, Yuan Li, Zhaopeng Tu, Xiaolong Li, "VISTA: Enhancing Vision-Text Alignment in MLLMs via Cross-Modal Mutual Information Maximization," submitted to NeurIPS'2025, available at https://arxiv.org/html/2505.10917v2 .
[78] Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie, "CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models," accepted by the 63th Annual Meeting of the Association for Computational Linguistics (ACL'2025), Vienna, Austria, July 27-August 1st. (ACL-Main)
[77] YifeiLu, Fanghua Ye, Jian Li, Qiang Gao, Cheng Liu, Haibo Luo, Nan Du, Xiaolong Li, Feiliang Ren, "CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision," accepted by the 63th Annual Meeting of the Association for Computational Linguistics (ACL'2025), Vienna, Austria, July 27-August 1st. (ACL-Main)
[76] Zijing Zhang, Zhanpeng Chen, He Zhu, Ziyang Chen, Nan Du, Xiaolong Li, "ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks," accepted by the 63th Annual Meeting of the Association for Computational Linguistics (ACL'2025), Vienna, Austria, July 27-August 1st. (ACL-Findings)
[75] Zhanpeng Chen, Mingxiao Li, Ziyang Chen, Nan Du, Xiaolong Li, Yuexian Zou，“Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding," accepted by the 63th Annual Meeting of the Association for Computational Linguistics (ACL'2025), Vienna, Austria, July 27-August 1st. (ACL-Findings)
[74] Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du, Xiaolong Li，“Self-playing Adversarial Language Game Enhances LLM Reasoning”, accepted by the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS’2024) , Vancouver, Canada, December 10-15, 2024.
[73] Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Pexin Cao, Nan Du, Xiaolong Li, “Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game”, accepted by the 62nd Annual Meetings of the Association for Computational Lingusitcs (ACL’2024), Bangkok, Thailand, August 11-16, 2024.
[72] Ke Tu , Zhengwei Wu , Binbin Hu , Zhiqiang Zhang , Peng Cui , Xiaolong Li , and Jun Zhou, “A Scalable Social Recommendation Framework with Decoupled Graph Neural Network,”accepted by the 28th International Conference on Database Systems for Advanced Applications (DASFAA’2023), Tianjin, China, April 17-20,2023.
[71] Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu and Xiaolong Li, "LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding", in Proceedings of the 35th AAAI Conference on AI (AAAI'2021),12830-12838, A Virtual Conference, Feb. 2-9, 2021.
[70] Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqing Zhang, Jun Zhou and Xiaolong Li, "IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation", accepted by the 37th IEEE International Conference on Data Engineering (ICDE'2021), A Virtual Conference, April 19-21, 2021.
[69] Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li and Renxin Mao, "Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection," in Proceedings of the special track on AI in FinTech (acceptance rate 19.3%) of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI'20), 4633-3639, Yokohama, Japan, July 11-17, 2020.
[68] Zengguang Hao, Jie Zhang, Binxia Xu, Yafang Wang, Gerard de Melo and Xiaolong Li, "An Intent Graph based Multi-Turn Dialogue System with Reasoning Path Visualization" (Demo Paper), in Proceedings of the Web Conference (WWW'2020), Taipei, Taiwan, China, April 20-24, 2020.
[67] Yangming Li, Kaishegn Yao, Libo Qin, Wanxiang Che, Xiaolong Li and Ting Liu, "Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network," accepted by the Annual Conference of the Association for Computational Linguistics (ACL'2020), Seattle, WA, USA, July 6-10, 2020.
[66] Yangming Li, Han Li, Kaisheng Yao and Xiaolong Li, "Handling Rare Entities for Neural Sequence Labeling," accepted by the Annual Conference of the Association for Computational Linguistics (ACL'2020), Seattle, WA, USA, July 6-10, 2020.
[65] Yangming Li , Kaisheng Yao, Libo Qin, Shuang Peng, Yijia Liu, Xiaolong Li. "Span-based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models," (long paper) accepted by the 34th AAAI Conference on AI (AAAI'2020), New York, New York, USA, Feb 7-12, 2020.
[64] Xiang Hu, Zujie Wen, Yafang Wang, Xiaolong Li and Gerad de Meleo, "Interactive Question Clarification in Dialogue via Reinforcement Learning", in Proceedings of the 28th International Conference on Computational Linguistics (COLING'2020) - Industry Track, 78-89, Online, December 12, 2020, Pages 78-89.
[63] Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li and Yu Qiao, "aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots", in Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM'2020), Oct 2020, Pages 2853-2860.
[62] Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li, “ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service”, (demo paper), in Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020), 2189-2192, Xi'an, China, July 25-30, 2020.
[61] Zhiming Wang, Kaisheng Yao, Xiaolong Li, Shuo Fang, "MULTI-RESOLUTION MULTI-HEAD ATTENTION IN DEEP SPEAKER EMBEDDING," accepted by the 54th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'2020), Barcelona, Spain, May 4-8, 2020.
[60] Shuang Peng, Hengbin Cui, Niantao Xie, Sujian Li, Jiaxing Zhang, Xiaolong Li, "Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity," (short paper, 7 pages, oral presentation) in Proceediings of the Web Conference (WWW'2020), 2500-2506, Taipei, Taiwan, China, April 20-24, 2020.
[59] Siyuan Qiu, Binxia Xu, Jie Zhang, Yafang Wang, Xiaoyu Shen, Gerard de Melo, Chong Long and Xiaolong Li, "EasyAug: An Automatic Textual Data Augmentation Platform for Classification Tasks," (Demo Paper), in Proceedings of the Web Conference (WWW'2020), 249-252, Taipei, Taiwan, China, April 20-24, 2020.
[58] Liang Jiang，Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi. "Long Short-Term Sample Distillation," (long paper) accepted by the 34th AAAI Conference on AI (AAAI'2020), New York, New York, USA, Feb 7-12, 2020.
[57] Zhiming Wang, Kaisheng Yao, Shuo Fang, Xiaolong Li, "Joint Optimization of Classification and Clustering for Deep Speaker Embedding," (full paper) accepted by IEEE Automatic Speech Recognition and Understanding Workshop (ASRU'2019), Sentosa, Singapore, on 14-18 December 2019.
[56] Chong Long, Yafang Wang, Xiaotong Zhang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, and Xiaolong Li, "SNSaPP: Unbiased Social Media Analysis against Paid Posters," (Demo Paper) in Proceedings of the 19th IEEE International Conference on Data Mining (ICDM'2019), 1102-1105, Nov 8-11, Beijing, China.
[55] Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou and Xiaolong Li, "AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot," (Demo Paper) accepted by the 28th International Joint Conference on Artificial Intelligence (IJCAI'2019), 6497-6499, Aug 10-16, Macao, China.
[54] Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li and Forrest Sheng Bao, "Reinforcement Learning for User Intent Prediction in Customer Service Bots," (Short Research Paper) in Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2019), 1265-1268, Paris, France, July 21 - 25, 2019 .
[53] Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang and Yuan Qi, "Uncovering Insurance Fraud Conspiracy with Network Learning," (Short Research Paper) accepted by the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2019), Paris, France, July 21 - 25, 2019 .
[52] Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao, “Multi-domain gated cnn for review helpfulness prediction,” the 28th International World Wide Web Conference, "the Web Conference" (WWW'2019), 2630-2636, ACM, San Francisco, CA, USA, May 13 - 17, 2019.
[51] (Journal) Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi and Zhi-Hua Zhou, "Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud," ACM Transactions on Intelligent Systems and Technology, accepted July 2019.
[50] Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong, "How Much Can A Retailer Sell? Sales Forecasting on Tmall," in Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2019), Macau, China, Apr 14-17, 2019.
[49] Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi, "GeniePath: Graph Neural Networks with Adaptive Receptive Paths," (full paper) in Proceedings of the 33th AAAI Conference on AI (AAAI'2019), Honolulu, Hawaii, USA, Jan 27-Feb 1, 2019.
[48] Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi, "Cash-out User Detection based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism, "(full paper) in Proceedings of the 33th AAAI Conference on AI (AAAI'2019), 4424-4431, Honolulu, Hawaii, USA, Jan 27-Feb 1, 2019.
[47] Shaosheng Cao, XinXing Yang, Cen Chen, Jun Zhou, Xiaolong Li and Yuan (Alan) Qi, " TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial," (long paper) accepted by the 45th International Conference on Very Large Databases (VLDB'2019), 2082-2093, Los Angeles, USA, August 26-30, 2019.
[40] Wenjing Fang, Jun Zhou, Xiaolong Li and Kenny Q. Zhu, "Unpack Local Model Interpretation for GBDT," (Industry track paper) in Proceedings of the 23rd Conference on Database Systems for Advanced Applications (DASFAA'2018), May 21-24, Gold Coast, Australia.
[39] Zhiqiang Zhang, Chaochao Chen, Jun Zhou and Xiaolong Li, "An Industrial-scale System for Heterogeneous Information Card Ranking in Alipay," (Industry track paper) in Proceedings of the 23rd Conference on Database Systems for Advanced Applications (DASFAA'2018), May 21-24, Gold Coast, Australia.
[38] Shaosheng Cao, Wei Lu, Jun Zhou and Xiaolong Li, "CW2Vec: Learning Chinese Word Embeddings with Stroke N-gram Information," (full paper) in Proceedings of the 32th AAAI Conference on AI (AAAI'2018), New Orleans, LS, USA, Feb 2nd-7th, 2018 .
[37] Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen, Xiaolong Li, "A Local Online Learning Approach for Non-linear Data," (long paper) in Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2018), Jun 3-6, Melbourne, Australia.
[12] Yunxin Zhao, X. Zhang, Rusheng Hu, Jian Xue, Xiaolong Li, Lili Che, Rong Hu, and Laura Schopp, “An automatic captioning system for telemedicine,” accepted by the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’06), Toulouse, France, May 14-19, 2006.
[11] Xiaolong Li, Li Deng, Dong Yu and Alex Acero, “A Time-SynchronousPhonetic Decoder For A Long-Contextual-Span Hidden Trajectory Model,” accepted by the International Conference on Spoken Language Processing (ICSLP -InterSpeech’06), Pittsburg, PA, USA, Sep 17-21, 2006.
[10] (Journal) Yunxin Zhao, Rong Hu, and Xiaolong Li, “Speedup Convergence And Reduce Noise For Enhanced Speech Separation And Recognition,” IEEE Transactions on Audio, Speech and Langauge Processing, Vol. 14, Iss. 4, pp. 1234-1244, July 2006.
[9] Rusheng Hu, Xiaolong Li, Yunxin Zhao, “Gradient Boosting Learning of Hidden Markov Models,” accepted by the IEEE International Conference on Acoustics, Speech and Singal Processing (ICASSP’06), Toulouse, France, May 14-19, 2006.
[8] Li Deng, Dong Yu, Xiaolong Li and Alex Acero, “A long-contextual-span model of resonance dynamics for speech recognition: parameter learning and recognizer evaluation,” accepted by the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU ’05), Nov 27 – Dec 1, Cancun, Mexico, 2005.
[7] Yunxin Zhao, Rong Hu, and Xiaolong Li, “Enhanced Speech Source Separation for Robust Speech Recognition,” accepted by the Joint Workshop on Hands-Free Speech Communication and Microphone Arrays (HSCMA’2005), Piscataway, New Jersey, USA, March 17-18, 2005.
[6] Rusheng Hu, Xiaolong Li, and Yunxin Zhao, “Acoustic Model Training Using Greedy EM,” accepted by the IEEE International Conference on Acoustics, Speech and Singal Processing (ICASSP’05), Philadelphia, PA, USA, March 19-23, 2005.
[5] Xiaolong Li and Yunxin Zhao, “Exploiting Order-Preserving Minimum Perfect Hashing to Speedup N-gram Language Model Lookahead,” in Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech-InterSpeech’03), pp. 2281-2284, Geneva, Switzerland, September 2003.
[4] Xiaolong Li and Yunxin Zhao, “Order-Preserving Minimum Perfect Hashing for Fast N-gram Language Model Lookahead,” accepted by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’03 ), Hong Kong, China, April 2003.
[3] Xiaolong Li and Ke Chen, “Mandarin Verbal Information Verification,” in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’02), Vol.1, pp.833 – 836, Orlando, Florida, USA, May 2002.
[2] Helen Meng, Suk Fong Chan, Yee Fong Wong, Cheong Chat Chan, Y.W. Wong, T.Y. Fung, W.C. Tsui, Ke Chen, Lan Wang, Tingyao Wu, Xiaolong Li, Tan Lee, W.N. Choi, P.C. Ching and Huisheng Chi, “ISIS: A learning system with combined interaction and delegation dialogs,” in Proceedings of the 7th European Conference on on Speech Communication and Technology (Eurospeech’01), Vol.3, pp.1551 – 1554, Aalborg, Denmark, September 2001.
[1] Helen Meng, Shuk Fong Chan, Yee Fong Wong, Tien Ying Fung, Wai Ching Tsui, Tin Hang Lo, Cheong Chat Chan, Ke Chen, Lan Wang, Ting Yao Wu, Xiaolong Li, Tan Lee, Wing Nin Choi, Yiu Wing Wong, P.C. Ching and Huisheng Chi, “ISIS: A multilingual spoken dialog system developed with CORBA and KQML agents“, in Proceedings of the 2000 International Conference on Spoken Language Processing (ICSLP’00), Vol.2, pp.150 – 153, Beijing, China, October 2000.
Granted Patents (22, US&China):
[22] Xinxing Yang, Shaosheng Cao, Jun Zhou, Xiaolong Li, “Method and apparatus for encrypting data, method and apparatus for training machine learning model, and electronic device,” US Patent # 1257007, filed 2019, granted 2022.
[21] Xiaofu Chang, Linlin Chao, Peng Xu and Xiaolong Li, "Dialog generation method, apparatus, and electronic device," US Patent #10747959, granted 2020.
[20] Ling Xie and Xiaolong Li, "Data security enhancement by model training," US Patent #10929558, granted 2021.
[19] Li Wang, Peilin Zhao, Jun Zhou, Xiaolong Li, “Privacy protection based training sample generation method and device,”US Patent # 10878125, granted 2020.
[18] Peilin Zhao, Jun Zhou, Xiaolong Li, Longfei Li, “Model training method and apparatus based on data sharing,”US Patent #1110680, filed 2018, granted 2021.
[17] Ziqi Liu, Cen Chen, Jun Zhou and Xiaolong Li, "Graph structure model training and junk account identification," with Ziqi Liu, Cen Chen and Jun Zhou, US Patent #10917425, granted 2021.
[16] Jun Zhou and Xiaolong Li, "Method and device for virtual resource allocation, modeling and data prediction", US Patent #10891161, granted 2021.
[15] 周俊, Xiaolong Li, "資料流的分群方法和裝置,", 中国台湾专利局授予号TW1665568B, 中国大陆优先权日期2017年5月31日, 授予公告日2019年7月11日.
[14] Jun Zhou and Xiaolong Li, “Method and apparatus for clustering data stream,”US Patent # 11226993, filed 2019, granted 2022.
[13] Ye-Yi Wang, Xiaodong He, Xiaolong Li, Shihao Ji and Bin Zhang, “Query Simplification," US Patent #9594838, filed 2013, granted 2017.
[12] Xiaolong Li and Ye-Yi Wang, “Meta classifier for query intent classification,” US Patent 8843470B2， granted 2014.
[11] Nick Karnik, Xiaolong Li, and Partha Sundarm, "Intelligent Intent Detection from Social Network Message," US Patent #8918354, filed 2011, granted 2014.
[10] Shipeng Li, Ye-Yi Wang, Xiaochuan Ni, Jian-Tao Sun, Zheng Chen, Zhimin Zhang, Xiaolong Li, Xuedong Huang, Li Jiang, "Dialog-Enhanced Contextual Search Query Analysis," US Patent #9336298, filed 2011, granted 2016.
[9] Kuansan Wang, Xiaolong Li, Jiangbo Miao and Fritz Behr， "Adaptive Construction of A Statistic Language Model,” US Patent #8577670, filed 2010, granted 2013. (US Patent#9448990, filed 2013, granted 2016).
[8] Shaosheng Cao and Xiaolong Li, "Word vector processing for foreign languages,", US Patent#10430518, filed January 18, 2018, granted Oct 1, 2019.
[7] Zhiming Wang, Jun Zhou and Xiaolong Li, "Speech wakeup method, apparatus and electronic device," US Patent #10748524, granted 2020.
[6] Kuansan Wang, Xiaolong Li, Nikolas Gloy, “Inferring view sequence and relevance data,”US Patent # 8489533, filed 2009, granted 2013.
[5] Shaosheng Cao, Xinxing Yang, Jun Zhou and Xiaolong Li,"Cluster-based word vector processing method, device and apparatus," US Patent #10769383, granted 2020.
[4] Shaoshegn Cao, Xinxing Yang, Jun Zhou and Xiaolong Li, "Random walking and cluster-based random walking method, apparatus and device," US Patent #10776334, granted 2020.
[3] Kuang Wang, Pal Hsu and Xiaolong Li, "Bootstrap and Adapt A Document Search Engine," US Patent #8527534, filed 2010, granted 2013.
[2] Xiaolong Li, Yun-Cheng Ju，Li Deng, Alex Acero, "Automatic Reading Tutoring with Parallel Polarized Language Modeling," US Patent#8433576, filed 2007, granted 2013.
[1] Xiaolong Li, Li Deng, Yun-Cheng Ju，Alex Acero, “Automatic Reading Tutoring Using Dynamically Built Language Model,” US Patent #8306822, filed 2007, granted 2012.
Selected Pending Patents:
06. "A Method&Device for Word Vector Processing,"(China) with Shaosheng Cao and Jun Zhou, filed 2017.
05. "Dependency-based Cache Buffer System for Distributed Training of Deep Learning Models on CPU," (International) with Youzhi Zou, Jiaxing Zhang, Xiaoyuan Cui and Yuan Alan Qi, filed 2016.
04. "A Method&Device for Input Parameter,"(China) with Xiaojun Qian and Yuan Alan Qi, filed 2016.
03. "Customer Service Problem Identification based on User Behavior,"(China) with Jiaxing Zhang, Hengbin Cui, Shaofei Xue, filed 2015.
02. "A Method&Device for Mapping Very Large Discrete Set into Continuous Integers," (China), with Xu Chen, Jin Yu, Yi Ding and Huaidong Xiong, filed 2015.
01. "Automatic Reading Tutoring for Hand-Held Mobile Device,” with Li Deng and Alex Acero, filed 2007.
(last updated Wednesday, May 28th, 2025)
