Reshaping deep neural network for fast decoding by node-pruning. - Tianxing He; Yuchen Fan; Yanmin Qian; Tian Tan 002; Kai Yu 004 (ICASSP, 2014)

An investigation on DNN-derived bottleneck features for GMM-HMM based robust speech recognition. - Yongbin You; Yanmin Qian; Tianxing He; Kai Yu 004 (ChinaSIP, 2015)

Recurrent neural network language model with structured word embeddings for speech recognition. - Tianxing He; Xu Xiang; Yanmin Qian; Kai Yu 004 (ICASSP, 2015)

Automatic model redundancy reduction for fast back-propagation for deep neural networks in speech recognition. - Yanmin Qian; Tianxing He; Wei Deng; Kai Yu 004 (IJCNN, 2015)

Paragraph vector based topic model for language model adaptation. - Wengong Jin; Tianxing He; Yanmin Qian; Kai Yu 004 (INTERSPEECH, 2015)

Exploiting LSTM structure in deep neural networks for speech recognition. - Tianxing He; Jasha Droppo (ICASSP, 2016)

On training bi-directional neural network language model with noise contrastive estimation. - Tianxing He; Yu Zhang 033; Jasha Droppo; Kai Yu 004 (ISCSLP, 2016)

Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR. - Yue Wu; Tianxing He; Zhehuai Chen; Yanmin Qian; Kai Yu 004 (CCL, 2017)

Detecting Egregious Responses in Neural Sequence-to-sequence Models. - Tianxing He; James R. Glass (ICLR (Poster), 2019)

From Data Quality to Model Quality: An Exploratory Study on Deep Learning. - Tianxing He; Shengcheng Yu; Ziyuan Wang 001; Jieqiong Li; Zhenyu Chen 001 (Internetware, 2019)

Quantifying Exposure Bias for Neural Language Generation. - Tianxing He; Jingzhao Zhang; Zhiming Zhou 001; James R. Glass (CoRR, 2019)

Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition. - Jingzhao Zhang; Tianxing He; Suvrit Sra; Ali Jadbabaie (CoRR, 2019)

Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (CoRR, 2019)

Negative Training for Neural Dialogue Response Generation. - Tianxing He; James R. Glass (ACL, 2020)

An Empirical Study of Transformer-Based Neural Language Model Adaptation. - Ke Li 018; Zhe Liu 011; Tianxing He; Hongzhao Huang; Fuchun Peng; Daniel Povey; Sanjeev Khudanpur (ICASSP, 2020)

Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity. - Jingzhao Zhang; Tianxing He; Suvrit Sra; Ali Jadbabaie (ICLR, 2020)

A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. - Moin Nadeem; Tianxing He; Kyunghyun Cho; James R. Glass (AACL/IJCNLP, 2020)

Constructing a Knowledge Graph from Unstructured Documents without External Alignment. - Seunghak Yu; Tianxing He; James R. Glass (CoRR, 2020)

Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. - Tianxing He; Jun Liu; Kyunghyun Cho; Myle Ott; Bing Liu 024; James R. Glass; Fuchun Peng (EACL, 2021)

Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. - Tianxing He; Bryan McCann; Caiming Xiong; Ehsan Hosseini-Asl (EACL, 2021)

Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? - Tianxing He; Jingzhao Zhang; Zhiming Zhou 001; James R. Glass (EMNLP (1), 2021)

An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models. - Tianxing He; Kyunghyun Cho; James R. Glass (CoRR, 2021)

Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework. - Lu Mi; Tianxing He; Core Francisco Park; Hao Wang 014; Yue Wang; Nir Shavit (CoRR, 2021)

Controlling the Focus of Pretrained Language Generation Models. - Jiabao Ji; Yoon Kim; James R. Glass; Tianxing He (ACL (Findings), 2022)

Mining Python fix patterns via analyzing fine-grained source code changes. - Yilin Yang; Tianxing He; Yang Feng 003; Shaoying Liu; Baowen Xu (Empir. Softw. Eng., 2022)

A comprehensive empirical study on bug characteristics of deep learning frameworks. - Yilin Yang; Tianxing He; Zhilong Xia; Yang Feng 003 (Inf. Softw. Technol., 2022)

Quantifying the Relationship between 2D/3D Building Patterns and Land Surface Temperature: Study on the Metropolitan Shanghai. - Rui Zhou; Hongchao Xu; Hao Zhang; Jie Zhang; Miao Liu; Tianxing He; Jun Gao; Chunlin Li 004 (Remote. Sens., 2022)

Towards a Deeper Understanding of Neural Language Generation - Tianxing He (2022)

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. - Tianxing He; Jingyu Zhang; Tianle Wang 003; Sachin Kumar 009; Kyunghyun Cho; James R. Glass; Yulia Tsvetkov (ACL (1), 2023)

On the Zero-Shot Generalization of Machine-Generated Text Detectors. - Xiao Pu 003; Jingyu Zhang; Xiaochuang Han; Yulia Tsvetkov; Tianxing He (EMNLP (Findings), 2023)

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics. - Lu Mi; Trung Le 002; Tianxing He; Eli Shlizerman; Uygar Sümbül (NeurIPS, 2023)

Can Language Models Solve Graph Problems in Natural Language? - Heng Wang 008; Shangbin Feng; Tianxing He; Zhaoxuan Tan; Xiaochuang Han; Yulia Tsvetkov (NeurIPS, 2023)

PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation. - Jingyu Zhang; James R. Glass; Tianxing He (*SEM@ACL, 2023)

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. - Mengke Zhang; Tianxing He; Tianle Wang 003; Lu Mi; Fatemehsadat Mireshghallah; Binyi Chen; Hao Wang 014; Yulia Tsvetkov (CoRR, 2023)

Resolving Knowledge Conflicts in Large Language Models. - Yike Wang 002; Shangbin Feng; Heng Wang 008; Weijia Shi; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ACL (Findings), 2024)

k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. - Abe Bohan Hou; Jingyu Zhang; Yichen Wang; Daniel Khashabi; Tianxing He (ACL (Findings), 2024)

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. - Yichen Wang 002; Shangbin Feng; Abe Bohan Hou; Xiao Pu 003; Chao Shen 001; Xiaoming Liu 001; Yulia Tsvetkov; Tianxing He (ACL (1), 2024)

Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles. - Xiao Pu 003; Tianxing He; Xiaojun Wan 001 (EMNLP (Findings), 2024)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization? - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xiaochuang Han; Tianxing He; Yulia Tsvetkov (EMNLP (Findings), 2024)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ICLR, 2024)

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. - Abe Bohan Hou; Jingyu Zhang; Tianxing He; Yichen Wang 002; Yung-Sung Chuang; Hongwei Wang; Lingfeng Shen; Benjamin Van Durme; Daniel Khashabi; Yulia Tsvetkov (NAACL-HLT, 2024)

LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. - Mengke Zhang; Tianxing He; Tianle Wang 003; Lu Mi; Niloofar Mireshghallah; Binyi Chen; Hao Wang 014; Yulia Tsvetkov (NAACL-HLT (Findings), 2024)

KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. - Yuyang Bai; Shangbin Feng; Vidhisha Balachandran; Zhaoxuan Tan; Shiqi Lou; Tianxing He; Yulia Tsvetkov (WWW, 2024)

Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (CoRR, 2024)

Towards Black-Box Membership Inference Attack for Diffusion Models. - Jingwei Li; Jing Dong; Tianxing He; Jingzhao Zhang (CoRR, 2024)

SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. - Xiaoning Dong; Wenbo Hu; Wei Xu; Tianxing He (ACL (Findings), 2025)

Jailbreak Large Vision-Language Models Through Multi-Modal Linkage. - Yu Wang; Xiaofei Zhou; Yichen Wang; Geyuan Zhang; Tianxing He (ACL (1), 2025)

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (Trans. Assoc. Comput. Linguistics, 2025)

Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy. - Abe Bohan Hou; Hongru Du; Yichen Wang; Jingyu Zhang; Zixiao Wang; Paul Pu Liang; Daniel Khashabi; Lauren Gardner; Tianxing He (CoRR, 2025)

SC-LoRA: Balancing Efficient Fine-tuning and Knowledge Preservation via Subspace-Constrained LoRA. - Minrui Luo; Fuhang Kuang; Yu Wang; Zirui Liu 014; Tianxing He (CoRR, 2025)

Demonstrations of Integrity Attacks in Multi-Agent Systems. - Can Zheng; Yuhan Cao; Xiaoning Dong; Tianxing He (CoRR, 2025)

Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems. - Yuhan Cao; Zian Chen; Kun Quan; Ziliang Zhang; Yu Wang; Xiaoning Dong; Yeqi Feng; Guanzhong He; Jingcheng Huang; Jianhao Li; Yixuan Tan; Jiafu Tang; et al. (CoRR, 2025)

AICrypto: A Comprehensive Benchmark For Evaluating Cryptography Capabilities of Large Language Models. - Yu Wang; Yijian Liu; Liheng Ji; Han Luo; Wenjie Li; Xiaofei Zhou; Chiyun Feng; Puji Wang; Yuhan Cao; Geyuan Zhang; Xiaojian Li; Rongwu Xu; et al. (CoRR, 2025)

LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing. - Lanlan Qiu; Xiao Pu 003; Yeqi Feng; Tianxing He (CoRR, 2025)