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Nitin Bisht
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- 2026
[c6]Linjiang Guo
, Nitin Bisht
, Shiqing Wu
, Huan Huo
, Xianzhi Wang
, Guandong Xu
:
Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems. SIGIR 2026: 460-470
[i2]Linjiang Guo, Nitin Bisht, Shiqing Wu, Xianzhi Wang, Guandong Xu:
S2-CAR: Segmentation-Supervised Complexity-Adaptive Recommendation. CoRR abs/2606.25415 (2026)
[i1]Linjiang Guo, Nitin Bisht, Shiqing Wu, Yifan Yin, Guandong Xu:
TRUST: Item-Calibrated Interval Evidence for Temporal Session-Based Recommendation. CoRR abs/2606.27214 (2026)- 2025
[c5]Nitin Bisht, Xiuwen Gong, Guandong Xu:
CUGF: A Reliable and Fair Recommendation Framework. AAAI 2025: 11445-11453
[c4]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Conformal Prediction for Partial Label Learning. AAAI 2025: 16862-16870
[c3]Tong Zhang
, Nitin Bisht
, Zihao Li
, Guandong Xu
, Xianzhi Wang
:
SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation. CIKM 2025: 4181-4190
[c2]Nitin Bisht, Xiuwen Gong, Guandong Xu:
ENSUR: Equitable and Statistically Unbiased Recommendation. ICML 2025- 2024
[c1]Xiuwen Gong, Nitin Bisht, Guandong Xu:
Does Label Smoothing Help Deep Partial Label Learning? ICML 2024: 15823-15838- 2021
[j1]Árpád Baricz, Nitin Bisht, Sanjeev Singh, V. Antony Vijesh:
The generalized Marcum function of the second kind: Monotonicity patterns and tight bounds. J. Comput. Appl. Math. 382: 113093 (2021)
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